Knowledge, Attitude, Readiness, Facilitators, And Barriers to Continuous Quality Improvement (CQI) Among Hospital Employees in A Government-Retained Hospital
Moamar M. Casim, DHCM, MD, MSPH-HA and Joan P. Bacarisas, DM, MAN, RN
Graduate School of Allied Health Sciences, University of the Visayas
DOI: https://doi.org/10.51244/IJRSI.2025.120700115
Received: 05 July 2025; Accepted: 08 July 2025; Published: 06 August 2025
Continuous Quality Improvement (CQI) is a deliberate, defined process which is focused on activities that are responsive to community needs and improving population health. As adopted in hospitals, it is important to assess the knowledge, attitude, and readiness of its stakeholders. This quantitative research made use of the descriptive, correlational, and comparative (non-causal) research design to assess the interrelationship and comparison of the knowledge, attitude, and readiness on CQI. Furthermore, the study determined the barriers and facilitators in involvement to CQI among hospital employees in Amai Pakpak Medical Center for the second quarter of 2022. Findings of the study revealed that majority of the respondents were falling within the age category of 19 to 40 years old or the young adult group. Majority of the respondents were female, and in terms of years of service, one third of the respondents served the organization for 6 years and above. Just over half of the respondents had attended CQI workshop, and over half of the respondents were unable to attend any CQI-related workshops. Respondents were knowledgeable about the fundamental principles on CQI. The respondents had a positive attitude towards CQI. Overall, the respondents were somewhat ready on CQI. There was a significant interrelationship among knowledge, attitude, and readiness on CQI. A CQI Readiness Plan was created.
Keywords: Attitude; Barriers and facilitators; Continuous Quality Improvement; Hospital employees; Knowledge; Readiness.
Patients, healthcare providers, and insurers all have a stake in the healthcare system. Continuous quality improvement (CQI) in health care is “a structured organizational process for involving people in planning and executing a continuous flow of improvement to provide quality health care that meets or exceeds expectations” (Sollecito et al., 2013). International studies report reduced hospital admissions among patients with chronic conditions, reduced emergency department visits among older patients (Tricco et al., 2014), increased workforce capabilities and enthusiasm (Allen and Clarke Consulting Group, 2013; Lowitja Institute, 2015), and improved organizational efficiencies from timely local data (Crisp et al., 2000; Potter & Brough, 2004). CQI is mandated in the Philippines, with DOH Administrative Order No. 2012-0012 and Administrative Order No. 2020-0034 requiring health facilities to implement CQI, supported by Department Order Nos. 310-J s.2001 and 172-C s.2003, and the hospital where this study will be conducted is ISO certified with various CQI activities.
Despite ISO re-certification, sustaining this status remains challenging. The researcher observed employees, especially those without appointed ISO roles, lacking knowledge about CQI activities. Some employees knew only about customer feedback surveys, while others did not know the hospital’s quality policy statement and doubted ISO benefits, viewing it as causing stress. When asked about involvement in CQI, some shrugged and said it is the management’s job. Few knew total quality management tools such as fishbone analysis, gap analysis, and SWOT analysis. These observations, along with barriers to CQI implementation, raise concern for the researcher as ISO Chair, especially since no established manual or SOPPs on CQI mechanisms exist in the hospital despite the presence of Quality Management System Committees.
This leads to the reason why the researcher is interested in conducting this study to determine hospital employees’ knowledge, attitudes, readiness on CQI, and barriers and facilitators to involvement as baseline information for developing a CQI Technical Manual. Alomari et al. (2015) showed knowledge positively correlated with hospital application of quality standards. As ISO Chair, the researcher aims to establish baseline data to draft a CQI employee development plan and framework, assessing interrelationships among knowledge, attitude, and readiness, and differences according to personal characteristics to ensure no one is left out. The researcher is confident that this work will establish needed baseline information for developing a CQI framework and employee development plan helpful for the hospital and other healthcare institutions.
The purpose of the study was to assess the interrelationship and comparison of the knowledge, attitude, and readiness on Continuous Quality Improvement (CQI). Furthermore, the study determined the barriers and facilitators in involvement to CQI among hospital employees in Amai Pakpak Medical Center for the second quarter of 2022.
Specifically, it answered the following questions:
What were the personal characteristics of the hospital employees in terms of age; sex; years of service; department; attendance to CQI workshop; and participation in a CQI-related programs in the last 3 years?
What was the knowledge on the fundamental principles on CQI among hospital employees?
What was the attitude on CQI among hospital employees?
What was the readiness on CQI among hospital employees in terms of internal customer focus and use of team processes; understanding of process, use of data in decision-making; common understanding of quality and customers’ wants and needs; and management’s opportunity to lead CQ?
What were the facilitators in involvement in CQI among hospital employees?
What were the barriers to CQI among hospital employee?
Was there a significant interrelationship among knowledge, attitude, and readiness on CQI among hospital employees
Was there a significant difference in the knowledge, attitude, and readiness on CQI among hospital employees?
What CQI Readiness Sustenance Plan could be proposed based on the findings of the stud?
Statement of Null Hypotheses
Ho1: There was no significant relationship between knowledge and attitude CQI among hospital employees.
Ho2: There was no significant relationship between knowledge and readiness on CQI among hospital employees.
Ho3: There was no significant relationship between attitude and readiness on CQI among hospital employees.
Ho4: There was no significant difference in the knowledge on CQI among hospital employees.
Ho5: There was no significant difference in the attitude on CQI among hospital employees.
Ho6: There was no significant difference in the readiness on CQI among hospital employees.
Continuous Quality Improvement (CQI). Improving a system as critical and complex as a healthcare system is no small task, but as organizations seek to provide better care at lower costs, continuous quality improvement in healthcare is essential. CQI can help healthcare organizations become more efficient and patient-centered. With any CQI methodology, healthcare organizations should adhere to several best practices to ensure their CQI strategy is effective (Florida Tech, 2022). O’Neill et al. (2011) highlighted four key elements of CQI approaches as follows: (1) implemented in or by a health-care service; (2) collecting qualitative or quantitative data on intervention effectiveness, impacts, or success; (3) reporting client (or caregiver) health outcomes; and (4) aiming to change how delivery of care is routinely structured. CQI models vary according to local diversity between primary health-care services, the CQI team, and the external environment. There is no clear evidence that any one CQI model is better than another (Kaplan et al, 2011; Powell et al., 2009).
Once ISO 9001 certification is received, there is a need to keep refining Quality Management Systems to improve performance. Continuous Improvement is an ongoing effort to improve the organization’s products, services, and/or processes. These efforts can be: (a) Gradual – seek “incremental” improvement over time and (b) “Breakthrough” improvement all at once. The ability to meet the customer’s requirements is constantly being evaluated and improved to deliver more efficiency, effectiveness, and flexibility. This is not a separate endeavor, but rather is part of the ISO 9001 Quality Management System. Feedback is evaluated against the objectives. ISO 9001 asks for continuous improvement of the QMS. One way to achieve this is a better focus through a more critical eye and improving the knowledge to learn how to apply the tactics (The 9000 Store, 2022).
In the study of Carillo-Garcia et al. (2013), women represented up to three fourths of the total participants (73.4% of the interviewees), while men represented 26.6 percent. Women and men were generally distributed across professions in a similar ratio. Our data showed that the majority of the respondents were middle aged (31 to 50 years old). Of the total number of participants, 15% were young professionals (20 to 30 years old) and 18.3 percent were older than 50. The morning shift was the most frequently held shift, followed by a rotating shift. For affiliation level with the hospital, the largest group was the permanent staff, followed by temporary staff. Average seniority in the hospital was 8.3 years. For type of profession, the largest group was the nursing personnel, followed by nursing assistants, specialized physicians, resident physicians and professionals in administrative roles. The biggest healthcare profession in the US is nursing, with around 4.2 being registered throughout the country. Of those that are licensed, 84.1 percent work in the nursing industry. The US government forecasts that over 200,000 registered nurse jobs will be needed every year from 2021 to 2031, showing a high demand for skilled nurses in every state. The biggest partition in the healthcare employee sector is registered nurses, with 80 percent representing the provider’s patients and long-term care at hospitals (Zauderer, 2022).
Although CQI was feasible and sustainable, demonstrating its effectiveness using administrative data was challenging suggesting the need to better align performance measurement systems with CQI efforts. Further, although the majority of staff were enthusiastic about utilizing this approach and reported provider and patient benefits, many noted that dedicated time was needed in order to implement and sustain it (Hunter et al., 2017)
Readiness on CQI. Based on the result of the study of Mokhtar et al. (2012), the level of CQI readiness shown 83 per cent which means, the organization is ready for the quality improvement and five key dimensions has been categorized to support the CQI readiness.
On influence of educational factors on level of response, the study showed it has no influence on staff awareness but it influenced quality of personnel, sufficient supervision, feedback mechanism and record department being computerized. Number of years on the job has influence on the availability of adequate resources, quality of services and record department being computerized. On the influence of cadre, it showed that level of awareness was affected but quality of personnel, quality of services and availability of functional diagnostic equipment was influenced (Vincent et al., 2019).
Interrelationship of Knowledge, Attitude, and Readiness on CQI. The study of Alomari et al. (2015) revealed median percentage of participants’ knowledge and attitude scores regarding healthcare quality was 48% and 80% respectively, with hospital support at 54% and implementation at 50%. Main barriers were staff resistance and deficient knowledge, with knowledge showing significant positive correlation with hospital application of quality standards. Dargahi and Rezaiian (2007) showed knowledge, attitude, and performance increased with academic degrees. Magd and Curry (2003) indicated organizations understood ISO certification’s purpose, motivated by efficiency and competitive pressures, with benefits including improved documentation and efficiency. Hashish and Alsayed (2020) noted nurses had positive attitudes toward Evidence-Based Practice and Quality Improvement but lacked sufficient EBP knowledge, requiring educational support to enhance knowledge, attitudes, and skills. Geboers et al. (2001) found CQI implementation varied, with success in small projects, though workload was a barrier.
Thilakarathne and Chithrangani (2014) concluded there was a positive attitude towards ISO 9001 quality management systems, with perceived benefits in various sectors. Arnaud and Pierre-Antoine (2016) found operational workers had mostly positive perceptions of ISO 9001, contributing to organizational control. Successful CQI application results from leadership, culture, and teamwork (Nadeem et al., 2013; Sollecito & Johnson, 2011), with customer focus, systems thinking, measurement, teamwork, communication, and feedback motivating CQI processes (Candas et al., 2016). Tibeihaho et al. (2021) revealed district leadership supported CQI implementation, but high staff turnover hindered it. Leadership was key in institutionalizing CQI, monitoring results, mobilizing resources, and creating an enabling environment. The study of ul Haq et al. (2012) revealed significant positive linear correlations between knowledge-attitude, knowledge-practice, and attitude-practice. Fabrigar et al. (2006) found complexity increased attitude-behavior consistency under low-behavioral relevance, while knowledge amount had no effect. Zhu and Xie (2015) indicated risk information had a greater impact on attitude change, especially among participants with higher knowledge levels. Education is necessary for behavior change, though knowledge alone is not enough; it is critical to explain why behavioral changes are needed (Arlinghaus & Johnston, 2017).
Differences in the Knowledge, Attitude and Readiness on CQI. In the study of Siverbo et al. (2021), a two-day training program on quality improvement showed statistically significant changes in attitude among participants, with differences based on profession and years in their position, suggesting training can change attitudes but may need tailoring for different groups. Sisno (2017) found attitudes of administrators, teaching personnel, and administrative staff towards ISO 9001 did not differ significantly, with mostly positive perceptions, while Ehlers et al. (2017) reported overall supportive attitudes, though physicians were more skeptical with some extremely negative. Fita et al. (2021) showed 37.2% had good knowledge and 45.7% had favorable attitudes toward care of older people, with knowledge associated with age over 30, experience over 5 years, BSc degree and above, living with older people, and working in adult ICU, while attitude was associated with being female, BSc degree and above, living with older people, and caring for older people. Abou Hashish and Alsayed (2020) found age and educational level were significant factors for QI ratings, with younger nurses having lower and bachelor’s nurses having higher QI ratings. Latif and Nor (2021) found CQI practice in vocational colleges was high, with significant differences by age group for customer focus and teamwork, suggesting input for planning improvement measures in VCs’ quality management).
Facilitators to CQI. In the study of Candas et al. (2016), the most reported facilitators to CQI implementation are perception of feasibility, adoption of a formative approach, training and education, confidentiality, and assessing a limited number of quality indicators. Receptive attitudes, a sense of ownership and perceptions of positive impacts also facilitate the implementation. Finally, an organizational environment conducive to quality improvement has to be inclusive of all user groups, explicitly supportive, and provide appropriate resources. In the study of Sommerbakk et al. (2016), barriers and facilitators in the implementation of quality improvements were connected to (1) the innovation (e.g. credibility, advantage, accessibility, attractiveness); (2) the individual professional (e.g. motivation, PC expertise, confidence); (3) the patient (e.g. compliance); (4) the social context (e.g. leadership, culture of change, face-to-face contact); (5) the organizational context (e.g. resources, structures/facilities, expertise); (6) the political and economic context (e.g. policy, legislation, financial arrangements) and (7) the implementation strategy (e.g. educational, meetings, reminders).
Barriers to CQI. Quality improvement is an essential part of patient care, including improving patient safety, reducing medical errors, improving care coordination, and improving access to care. Barriers to implementing quality improvement initiatives include lack of funding, staff training, resources, management support, clinician buy-in, leadership, communication, resistance to change, and data systems (QualityGurus, n.d.). Mukwakungu and Mbohwa (2018) identified communication, management support, and adequate training as critical factors hindering awareness and understanding of quality at work. Abu A’aqoulah et al. (2016) suggested overcoming QMS obstacles through rewarding employees, providing good salaries and benefits, and recruiting qualified managers. Nolan (2016) described challenges in implementing QMS, such as differing opinions, the need for consultation and participation, leadership involvement, combating rumors, allocating resources, and ensuring processes are followed, emphasizing top management leadership and clear communication to employees. Median percentage of participants’ knowledge and attitude scores regarding healthcare quality was 48% and 80% respectively, while perception toward hospital support and implementation were 54% and 50% respectively. The main barriers for quality standards implementation and practice were staff resistance followed by deficient knowledge, with knowledge showing a significant positive correlation with hospital application of quality standards (Alomari et al., 2015). Despite challenges, using evidence-based practice and collecting data on outcomes, along with tailored education and training, leadership commitment, and addressing barriers, remain critical to improving quality in healthcare.
Design. This quantitative research made use of the descriptive, correlational, and comparative (non-causal) research design). The descriptive design was used in determining the personal characteristics, the knowledge, attitude, readiness on CQI, barriers or facilitators on involvement in CQI, and the barriers to CQI of the hospital employees including the barriers to involvement in CQI. The correlational design was used in assessing the interrelationship among knowledge, attitude, and readiness on CQI among hospital employees. The comparative design was used in comparing the difference in the knowledge, attitude, and readiness on CQI according to personal characteristics of the hospital employees.
Environment. The study was conducted in Amai Pakpak Medical Center. Since its initial ISO certification in 2016, the hospital has reaped the benefits of being an ISO recognized organization. Currently, on February 4, 2022, TÜV Rheinland Philippines issued an ISO certification for the provision of Level III hospital and multidisciplinary services, which is valid until February 3, 2025.
Respondents. The research involved 300 regular hospital employees coming from the different departments.
Sampling Design. The study made use of the proportionate stratified simple random sampling.
Inclusion and Exclusion Criteria. Included in the study were regular employees of the hospital coming from the four different departments. They had to be of legal age, regardless of sex, marital status, economic status, religion, and position. They had to be at least employed in the hospital for at least 6 months. They should be able to read and write and be capacitated to give voluntary consent. Excluded from the study were those employees who are experiencing symptoms of COVID-19. Those who were also on leave during the data gathering were excluded and those who had filed their resignation and retirement were also excludeds.
Instrument. The study made use of the CQI questionnaire (CQIQ) developed by Hill et al. (2001), originally composed of 34 items divided into six sections, with some items moved to a separate section but without modification. Part one included 4 items on respondent profile (age, sex, years of service, department) and 4 items on experience with CQI initiatives such as workshops and projects. Part two referred to respondents’ knowledge of the role of CQI (knowledge scale) with 6 items based on fundamental principles of CQI, rated using a 5-point Likert scale from not knowledgeable at all to very knowledgeable. Part three consisted of 5 CQI attitude questions rated on a 3-point Likert scale (agree, undecided, disagree). Part four pertained to the CQI Readiness Assessment Process and Tool by Dana (2004), a 25-item questionnaire rated on a 5-point Likert scale, composed of five dimensions: internal customer focus and use of team processes, understanding of process, use of data in decision-making, common understanding of quality and customers’ wants and needs, and management’s opportunity to lead CQI. Scoring included calculating weighted ratings and total agree percentages for each statement to identify opportunities for improvement, with weighted ratings computed by assigning weights from 5 to 1 for strongly agree to strongly disagree. Part five included 8 items on potential barriers/facilitators to involvement in CQI projects rated from very unimportant to very important. Part six included 6 items on possible barriers to participation in CQI projects at the local setting pre-identified based on Hill et al. (2001). The instrument showed acceptable internal consistency with Cronbach’s alpha exceeding .70 for all scales and Pearson’s correlation coefficient for test-retest reliability at 0.85. Parametric score interpretations were also defined for knowledge, attitude, and readiness scales.
Data Gathering Procedures. Guided by the inclusion and exclusion criteria set for the study, recruitment began. A first respondent was identified based on table of random numbers from the list provided by the Human Resource Department according to departments. They were recruited using the face-to-face intercept. Recruited respondents were given a copy of the questionnaire placed inside a plastic envelope for easy sanitization before handing the instrument and upon retrieval of the completed questionnaire. Other measures such as wearing of masks and face shield, social distancing, and hand washing or sanitizing were strictly observed for every encounter with a new respondent. This was done until such time that the sample size was achieved. All gathered responses were tallied and treated with appropriate statistical treatments. Data were presented in tables together with the interpretations and implication as supported by literature and studies. All completed questionnaires were shredded at the end of the analysis and all soft copies of the data were deleted permanently.
Statistical Treatment of Data. Frequency distribution and percentage were used to determine the personal characteristics of hospital employees in terms of age, sex, years of service, department, attendance to any CQI workshop (if yes, last CQI-related workshop attended), participation in a CQI project in the last 3 years, and agreement on having a basic understanding of CQI principles, as well as barriers to CQI involvement. Ranking was used to rank different barriers to CQI. Mean score was used to determine the level of knowledge, attitude, readiness on CQI, and barriers or facilitators on CQI among hospital employees. Pearson r assessed the interrelationship among knowledge, attitude, and readiness on CQI. T test of independence assessed significant differences in knowledge, attitude, and readiness among hospital employees with two groups only, while ANOVA assessed significant differences among hospital employees with more than two groups.
Ethical Consideration. Ethical considerations are an essential component of any research study. The study was submitted for ethical approval prior to data gathering.
Presentation, Interpretation and Analysis of Data
Table 1 Personal Characteristics of the Hospital Employees
Profile | f | % |
Age | ||
Young adult (19 – 40 years old) | 233 | 77.70 |
Middle adult (41 – 65 years old) | 67 | 22.30 |
Sex | ||
Male | 73 | 24.30 |
Female | 227 | 75.70 |
Years of Service | ||
Below 1 year | 80 | 26.70 |
1 to 3 years | 78 | 26.00 |
4 – 6 years | 50 | 16.70 |
6 years and above | 92 | 30.70 |
Department | ||
Medical Department | 44 | 14.70 |
Nursing Department | 126 | 42.00 |
Administrative and Support | 84 | 28.00 |
Ancillary Department | 46 | 15.30 |
Attendance to CQI Workshop | ||
Yes | 169 | 56.30 |
No | 131 | 43.70 |
How long ago, attended the last CQI- related workshops | ||
None | 169 | 56.30 |
Less than one year ago | 121 | 40.30 |
One to two years ago | 6 | 2.00 |
Over two years ago | 4 | 1.30 |
Participated in a CQI Project | ||
Yes | 204 | 68.00 |
No | 96 | 32.00 |
Note: n=300.
The table shows that majority of the respondents were falling within the age category of 19 to 40 years old or the young adult group. The remaining almost a quarter were belonging to the middle adult age group. This means that the respondents are mostly at their productive years. Majority of the respondents were female comprising three fourths of the total population while the remaining one fourth are males. This is just a coincidence wherein females dominated the study and this was influenced by the sampling method used because there is an almost equal number of males and females in the hospital. In terms of years of service, one third of the respondents served the organization for 6 years and above while just above a quarter are still below one year. Also, just over a quarter had served for one to three years already while the remaining few had served four to six years. This is clear indication that most respondents are loyal to the hospital and it can be expected considering that the hospital is a government-owned hospital where most would really want to be connected with considering that benefits it offers to its employees as compared to working in a private institution.
In the study of Carillo-Garcia et al. (2013), women represented up to three fourths of the total participants (73.4% of the interviewees), while men represented 26.6 percent. Women and men were generally distributed across professions in a similar ratio. Our data showed that the majority of the respondents were middle aged (31 to 50 years old). Of the total number of participants, 15% were young professionals (20 to 30 years old) and 18.3 percent were older than 50. The morning shift was the most frequently held shift, followed by a rotating shift. For affiliation level with the hospital, the largest group was the permanent staff, followed by temporary staff. Average seniority in the hospital was 8.3 years. For type of profession, the largest group was the nursing personnel, followed by nursing assistants, specialized physicians, resident physicians and professionals in administrative roles.Most of the respondents are belonging to the nursing department and this was followed by over a quarter belonging to the administrative and support. Few of them are belonging to the medical and the ancillary department. Supporting the findings, the biggest healthcare profession in the US is nursing, with around 4.2 being registered throughout the country. Of those that are licensed, 84.1 percent work in the nursing industry. The US government forecasts that over 200,000 registered nurse jobs will be needed every year from 2021 to 2031, showing a high demand for skilled nurses in every state. The biggest partition in the healthcare employee sector is registered nurses, with 80 percent representing the provider’s patients and long-term care at hospitals (Zauderer, 2022). Just over half of the respondents had attended CQI workshop while almost half had no attendance to a CQI workshop. Over half of the respondents were unable to attend any CQI-related workshops while almost half of them were able to attend CQI0related workshop wherein very few were able to attend it one to two years ago and over two years ago. Majority of the respondents were able to participate in a CQI project while over one third of them did not participate in any CQI project. Although CQI was feasible and sustainable, demonstrating its effectiveness using administrative data was challenging suggesting the need to better align performance measurement systems with CQI efforts. Further, although the majority of staff were enthusiastic about utilizing this approach and reported provider and patient benefits, many noted that dedicated time was needed in order to implement and sustain it (Hunter et al., 2017).
Table 2 Knowledge on the Fundamental Principles of CQI among Hospital Employees
Items | Mean score | SD | Interpretation |
1. In health care it is not important to reduce variation in clinical practice. | 2.62 | 1.222 | Neither agree nor disagree |
2. Most problems originate because of poor performance by individual staff members. | 3.45 | 0.989 | Agree |
3. It is important to use multidisciplinary teams as the mechanism for introducing improvement in health care processes. | 4.07 | 0.968 | Agree |
4. It is desirable to build measurement and
data collection in health care processes. |
3.99 | 0.954 | Agree |
5. QI should focus on work processes rather than individual performance. | 3.45 | 1.038 | Agree |
6. A successful health care organization maintains a clear focus on those it serves. | 4.02 | 0.920 | Agree |
Grand mean | 3.60 | 0.643 | Knowledgeable |
Note: n=300.
Legend: Parametric scores and interpretation for knowledge are as follows: 1.00-1.80 is not knowledgeable at all, 1.81-2.60 is having low knowledge; 2.61-3.40 is moderately knowledgeable, 3.41-4.20 is knowledgeable, and 4.21-5.00 is very knowledgeable.
Based on the table, respondents were knowledgeable about the fundamental principles on CQI. This is supported by the fact that they provided agreement to the statements that most problems originate because of poor performance by individual staff members, that it is important to use multidisciplinary teams as the mechanism for introducing improvement in health care processes, that it is desirable to build measurement and data collection in health care processes, that QI should focus on work processes rather than individual performance, and that successful health care organization maintains a clear focus on those it serves. This implies that they have the sufficient knowledge to understand the principles of CQI and perhaps this is because the organization is already an ISO certified organization and that it had been implementing measures on CQI. However, they neither agree nor disagree to the statement that in health care it is not important to reduce variation in clinical practice. This means that they are unsure of this statement, and probably needs to be re-enforced regarding the importance of variation in clinical practice considering that this is really a fact in healthcare. The study of Alomari et al. (2015) revealed median percentage of participants’ knowledge and attitude scores regarding healthcare quality was 48 percent and 80 percent respectively. Meanwhile, the median percentage of participants’ perception toward hospital support and implementation of healthcare quality was 54 percent and 50 percent respectively.
The main barriers for quality standards implementation and practicing were; staff resistance followed by deficient knowledge. Also, results in the study of Magd and Curry (2003) indicated that organizations have a high level of understanding of the purpose of ISO certification. The main motivators behind the implementation of certified quality system were to improve the efficiency of the quality system, and to cope with pressures from competitors/foreign partners. The principal perceived benefits of ISO 9001 include improved documentation, improved efficiency of the quality system and more effective supplier selection. In the study of Hashish and Alsayed (2020), it was mentioned that implementing Evidence-Based Practice (EBP) and Quality Improvement (QI) were recognized as the core competencies that should be held by all healthcare professionals, especially nurses, as front-line healthcare providers. However, they perceived themselves to be lacking sufficient EBP knowledge and need to improve their QI skills. Nurses need educational support for enhancing their attitude, knowledge, and skills related to EBP and QI. To prepare for educational programs, hospitals and nursing administrators should consider the characteristics of nurses, work schedules, and obstacles in the use of EBP. Hospital managers should also implement effective strategies to resolve the barriers and boost facilitators to increase the use of EBP among Egyptian nurses and promote QI.
Table 3 Attitude on CQI among Hospital Employees
Items | Mean score | SD | Interpretation |
1. In health care, CQI projects are a challenge to autonomy. * | 2.26 | 0.780 | Neutral |
2. CQI is motivated by a desire to take patient preferences into consideration. | 2.61 | 0.565 | Agree |
3. The primary goal of a hospital CQI project is to reduce health care costs. | 2.45 | 0.650 | Agree |
4. CQI is a positive trend in health care. | 2.74 | 0.579 | Agree |
5. CQI is of limited value to improving health care. * | 2.00 | 0.898 | Neutral |
Grand mean | 2.41 | 0.446 | Positive attitude |
Note: n=300. *Negative statements
Legend: Parametric scores and interpretation for attitude are as follows: 1.00-1.67 is negative attitude, 1.68-
2.34 is neither positive nor negative attitude, and 2.35-3.00 is positive attitude.
CQI is motivated by a desire to take patient preferences into consideration, with the primary goal to reduce healthcare costs, and is viewed as a positive trend in healthcare, meaning respondents know its importance beyond being mandated, especially in an ISO-certified organization understanding its benefits. However, they were neutral on statements that CQI projects are a challenge to autonomy and of limited value to improving healthcare, showing uncertainty which could be addressed by management to develop positive attitudes. Though knowledgeable, they were only moderately knowledgeable, affecting their attitudes, suggesting reinforcing knowledge could improve attitudes. According to Geboers et al. (2001), implementation rates varied, participants were positive about usefulness but workload and delays were barriers, suggesting starting with small projects and addressing personal obstacles to strengthen CQI commitment. Thilakarathne and Chithrangani (2014) found positive attitudes toward ISO 9001 in certified and implementing organizations, with perceived benefits irrespective of sector, while Arnaud and Pierre-Antoine (2016) showed operational workers had mostly positive perceptions of ISO 9001, resulting in positive workplace attitudes and contributing to organizational control.
Table 4 Readiness on CQI among Hospital Employees
Items | Mean score | SD | Interpretation | |
Internal customer focus and use of team processes | ||||
1. I know what is expected of me at work. | 4.05 | 0.804 | Agree | |
2. I have the materials and equipment I need to do
my work well. |
3.84 | 0.847 | Agree | |
3. In the last seven days, I have received praise for
doing good work. |
3.28 | 0.948 | Agree | |
4. Someone at work encourages me to develop my
skills. |
3.69 | 0.989 | Agree | |
5. I receive the information I need to do my job
well. |
3.63 | 0.895 | Agree | |
6. Our employees cooperate and work as a team. | 3.88 | 0.798 | Agree | |
7. We are encouraged to work with staff in other
departments to solve problems. |
3.86 | 0.837 | Agree | |
8. My supervisor respects my opinion. | 3.82 | 0.920 | Agree | |
9. I have opportunities to learn new things that will help me improve my work. | 3.94 | 0.785 | Agree | |
10. Overall, the leaders in this facility care about me. | 3.70 | 0.894 | Agree | |
Factor mean | 3.77 | 0.573 | Somewhat ready | |
Understanding of process | ||||
11. When something goes wrong, we look at processes rather than blaming people. | 3.70 | 0.924 | Agree | |
12. The work assignments are well planned in my department. | 3.80 | 0.822 | Agree | |
13. We are encouraged to apply better methods for doing our work when we learn about them. | 3.95 | 0.702 | Agree | |
14. Overall, I am motivated to find ways to improve the way I do my work. | 3.97 | 0.742 | Agree | |
Factor mean | 3.85 | 0.669 | Somewhat ready | |
Use of data in decision-making | ||||
15. I know how to measure the quality of my work. | 3.86 | 0.693 | Agree | |
16. I know how to analyze (review) the quality of my work to see if changes are needed. | 3.92 | 0.657 | Agree | |
17. We usually study the cause of problems before making a change. | 3.79 | 0.797 | Agree | |
Factor mean | 3.86 | 0.598 | Ready | |
Common understanding of quality and customers’ wants and needs | ||||
18. Overall, our use of information helps us improve the way we do our work. | 3.96 | 0.678 | Agree | |
19. Quality improvement is a sincere effort at this facility rather than just talk. | 4.00 | 0.734 | Agree | |
20. I am encouraged to solve problems brought to me by my customers (residents, families, or other employees). | 3.97 | 0.703 | Agree | |
21. Overall, meeting the expectations of our residents and families is a top priority here. | 3.84 | 0.813 | Agree | |
Factor mean | 3.94 | 0.603 | Somewhat ready | |
Management’s opportunity to lead CQI | ||||
22. Our leaders are just as concerned about the quality of services as they are about financial results. ‰ | 3.75 | 0.853 | Agree | |
23. Our leaders are able to make their own decisions rather than depending on people outside of our facility. | 3.80 | 0.775 | Agree | |
24. We seldom have crisis situations at this facility. ‰ ‰ ‰ | 3.56 | 0.873 | Agree | |
25. Overall, the facility managers have the ability to lead us to higher levels of quality performance. | 3.93 | 0.700 | Agree | |
Factor mean | 3.76 | 0.631 | Somewhat ready | |
Grand mean | 3.84 | 0.538 | Somewhat ready | |
Note: n=300.
Legend: Parametric scores and interpretation for readiness are as follows: 1.00-1.80 is not ready at all, 1.81-
2.60 is low readiness; 2.61-3.40 is moderately ready, 3.41-4.20 is somewhat ready, and 4.21-5.00 is very
The table shows that respondents believed they were somewhat ready in internal customer focus and use of team processes, agreeing they know what is expected of them, have needed materials and equipment, receive praise, are encouraged to develop skills, receive needed information, cooperate as a team, are encouraged to work with other departments, are respected by supervisors, have opportunities to learn new things, and believe leaders care about them. For understanding of process, they agreed they look at processes rather than blame people, work assignments are well planned, are encouraged to apply better methods, and are motivated to improve their work. In use of data in decision-making, they agreed they know how to measure and analyze quality of work and study causes of problems before making changes. In common understanding of quality and customers’ wants and needs, they agreed their use of information improves work, quality improvement is sincere, they are encouraged to solve customers’ problems, and meeting customer expectations is a top priority. For management’s opportunity to lead CQI, they agreed leaders care about quality as much as financial results, make decisions independently, seldom have crises, and facility managers can lead them to higher quality performance. Mokhtar et al. (2012) showed 83% CQI readiness, indicating organizational readiness. Vincent et al. (2019) found educational factors influenced quality of personnel and resources, years on the job influenced resources and services quality, and cadre influenced awareness and services quality. The successful application of CQI results from leadership, organizational culture, and teamwork creating a culture of excellence (Nadeem et al., 2013; Sollecito & Johnson, 2011), with customer focus, systems thinking, measurement, teamwork, communication, and feedback critical for CQI motivation (Candas et al., 2016). Tibeihaho et al. (2021) found district leadership supported CQI implementation but high staff turnover was detrimental. Leadership roles included institutionalizing CQI, monitoring results, mobilizing resources, and creating enabling environments. Overall, respondents felt ready for CQI, especially with the hospital’s ISO certification status.
Table 5 Facilitators in Involvement in CQI
Items | Mean score | SD | Interpretation |
1. CQI project relevant to my area of practice. | 4.25 | 0.900 | Very important |
2. Availability of a CQI coordinator. | 4.12 | 0.976 | Somewhat important |
3. Time commitment involved in undertaking CQI project. | 4.11 | 0.921 | Somewhat important |
4. CQI project endorsed by respected colleague. | 4.09 | 0.936 | Somewhat important |
6. CQI project directly impacts my practice. | 4.08 | 0.906 | Somewhat important |
7. CQI project endorsed by hospital administration. | 4.02 | 0.952 | Somewhat important |
8. CQI project that introduces only minimal changes to current clinical practice. | 3.74 | 1.054 | Somewhat important |
9. Incentives for physicians who participate in CQI projects. | 3.72 | 1.054 | Somewhat important |
10. |
Note: n=300.
Legend: 1.00 – 1.79 is very unimportant, 1.80 – 2.59 is somewhat unimportant, 2.60 – 3.39 is neither important nor unimportant, 3.40 – 4.19 is somewhat important, and 4.20 – 5.00 is very important.
Based on the table, the respondents believed that CQI project relevant to their area of practice was the very important facilitator of CQI. This is because when it is relevant to practice, it is very useful and therefore CQI should be relevant to their practice such as the continuing quality improvement of getting customer feedback which is very relevant to all the hospital employees as it is a means of improving the services provided. Also, the respondents were able to point out that it was somewhat important for the availability of a CQI coordinator. As this person coordinates all the activities related to CQI and will have focus on the different CQI activities in the hospital. In the study of Candas et al. (2016), the most reported facilitators to CQI implementation are perception of feasibility, adoption of a formative approach, training and education, confidentiality, and assessing a limited number of quality indicators. Receptive attitudes, a sense of ownership and perceptions of positive impacts also facilitate the implementation. Finally, an organizational environment conducive to quality improvement has to be inclusive of all user groups, explicitly supportive, and provide appropriate resources. Also, they were able to point out that having time commitment involved in undertaking CQI project is somewhat an important facilitator of CQI along with the CQI project endorsed by respected colleague. Further, they also pointed out that CQI project directly impacts their practice and that CQI project endorsed by hospital administration were somewhat important facilitators as well.
Lastly, they pointed out that CQI project that introduces only minimal changes to current clinical practice and incentives for physicians who participate in CQI projects are somewhat important facilitator as well of CQI. All the items were considered to be somewhat important facilitators of CQI perhaps these were based on the experience of the respondents in their hospital considering that they are ISO certified. In the study of Sommerbakk et al. (2016), barriers and facilitators in the implementation of quality improvements were connected to (1) the innovation (e.g. credibility, advantage, accessibility, attractiveness); (2) the individual professional (e.g. motivation, PC expertise, confidence); (3) the patient (e.g. compliance); (4) the social context (e.g. leadership, culture of change, face-to-face contact); (5) the organizational context (e.g. resources, structures/facilities, expertise); (6) the political and economic context (e.g. policy, legislation, financial arrangements) and (7) the implementation strategy (e.g. educational, meetings, reminders).
Table 6 Barriers to CQI among Hospital Employees
Barriers | f | % | Rank |
Time | 218 | 72.67 | 1st |
Lack of awareness of hospital CQI process | 171 | 57.00 | 2nd |
Lack of CQI knowledge | 167 | 55.67 | 3rd |
Lack of evidence of CQI success | 107 | 35.67 | 4th |
Lack of administrative support (resources) | 97 | 32.33 | 5th |
CQI is not a priority | 79 | 26.33 | 6th |
Hidden administrative agendas | 76 | 25.33 | 7th |
Note: n=300.
The table shows that the number one barrier to CQI was time, as hospitals are very busy and allocating time for CQI is difficult, but when CQI becomes part of hospital systems and procedures, this can be addressed. Another barrier identified was lack of awareness of hospital CQI process, and lack of CQI knowledge was also identified as a barrier, along with hidden administrative agendas. Questionnaire items were pre-identified, and although respondents could add barriers, responses were limited to pre-identified items. Quality improvement is essential in-patient care, including improving safety, reducing errors, improving coordination, and access to care, but barriers include lack of funding, training, resources, management support, clinician buy-in, leadership, communication, resistance to change, and data systems (QualityGurus, n.d.). Mukwakungu and Mbohwa (2018) identified communication, management support, and adequate training as critical factors hindering quality awareness, and Abu A’aqoulah et al. (2016) suggested overcoming QMS obstacles by rewarding talented employees, providing good salaries and benefits, and recruiting qualified managers.
Table 7 Interrelationship and Knowledge, Attitude and Readiness on CQI
Variables | r value | p value | Decision | Interpretation |
Knowledge vs.
Attitude |
.122 | .035 | Reject Ho | Significant |
Knowledge vs.
Readiness |
||||
Internal customer focus and use of team processes |
.373 |
.000 |
Reject Ho |
Significant |
Understanding of process | .223 | .000 | Reject Ho | Significant |
Use of data in decision-making | .322 | .000 | Reject Ho | Significant |
Common understanding of quality and customers’ wants and needs |
.313 |
.000 |
Reject Ho |
Significant |
Management’s
opportunity to lead CQI |
.264 | .000 | Reject Ho | Significant |
Overall | .339 | .000 | Reject Ho | Significant |
Attitude vs. Readiness | ||||
Internal customer focus and use of team processes | .246 | .000 | Reject Ho | Significant |
Understanding of
process |
.170 | .003 | Reject Ho | Significant |
Use of data in
decision-making |
.274 | .000 | Reject Ho | Significant |
Common understanding of quality and
customers’ wants and needs |
.244 |
.000 |
Reject Ho |
Significant |
Management’s opportunity to lead
CQI |
.233 | .000 | Reject Ho | Significant |
Overall | .265 | .000 | Reject Ho | Significant |
Legend: Significant if p value is < .05. Pearson r interpretation: A value greater than .5 is strong (positive), between .3 and .5 is moderate (positive), between 0 and .3 is weak (positive), 0 is none, between 0 and –.3 is weak (negative), between –.3 and –.5 is moderate (negative), and less than –.5 is strong (negative).
The table shows that the p value for knowledge and attitude was less than 0.05, interpreted as significant, rejecting the null hypothesis, meaning a significant positive relationship exists between knowledge and attitude on CQI; increasing knowledge increases positive attitude, supported by the KAP Theory stating knowledge is the foundation of behavior change and attitudes drive behavior change (Fan et al., 2018). The p value for knowledge and all dimensions of readiness and overall readiness was also less than 0.05, meaning a significant positive relationship exists; increasing knowledge increases readiness, supported by the KAP Theory. Similarly, the p value for attitude and all dimensions of readiness and overall readiness was less than 0.05, meaning a significant positive relationship exists; more positive attitudes increase readiness, also explained by KAP Theory. Supporting this, ul Haq et al. (2012) found significant positive correlations between knowledge-attitude, knowledge-practice, and attitude-practice. Fabrigar et al. (2006) found complexity increased attitude-behavior consistency under low-behavioral relevance, with attitudes predicting behavior well under high-behavioral relevance regardless of complexity. Zhu and Xie (2015) indicated risk information had a greater, longer-lasting impact on attitude change, especially for participants with higher knowledge levels, highlighting the role of knowledge in attitude formation and change.
Table 8 Differences in Knowledge on CQI according to Age, Sex, and Participated in a CQI Project
Variables | Mean score | t | df | p value | Decision | Interpretation |
Age | ||||||
Young adult | 3.61 | .528 | 298 | .598 | Failed to reject Ho | Not significant |
Middle
adult |
3.56 | |||||
Sex | ||||||
Male | 3.54 | -.887 | 298 | .376 | Failed to reject Ho | Not significant |
Female | 3.62 | |||||
Attendance to CQI | ||||||
Yes | 3.66 | 1.744 | 298 | .082 | Failed to reject Ho | Not significant |
No | 3.53 | |||||
Participated
in a CQI Project |
||||||
Yes | 3.65 | 1.747 | 298 | .082 | Failed to reject Ho | Not significant |
No | 3.51 |
The table shows that the p values for age, sex, and attendance to CQI, and participated in a CQI project were greater that the significant value of 0.05. These values were interpreted as not significant which led to the decision of failing to reject the null hypothesis. Thus, there was no significant difference in knowledge on CQI according to age, sex, and attendance to CQI, and participated in a CQI project. Perhaps this can be explained that the fact all members of the hospital are well-informed already about CQI that it does not matter what age or sex, or whether they had attendance to CQI or they participated in a CQI project or not. They all received an orientation of on CQI already as required of an ISO certified institution. Contrary to the findings on not having significant difference, the study of Fita et al. (2021), the significantly associated factors positively affected both the knowledge and the attitude of nurses.
Age greater than 30 years, experience greater than 5 years, being BSc degree holder and above, lived with older people, and nurses working in adult intensive care unit were significantly associated with knowledge.
Table 9 Differences in Knowledge on CQI according to Years of Service, Department, and Last Attendance to CQI
Variable |
Sum of squares |
df |
Mean squar e |
F |
Sig. |
Decision |
Interpretation |
|
Years of Service | ||||||||
1 year below | Between Groups | .849 | 3 | .283 | .683 | .563 | Failed to reject Ho | Not significant |
1 to 3 years | Within
Groups |
122.623 | 296 | .414 | ||||
4 to 6 years | ||||||||
Above 6 years | ||||||||
Department | ||||||||
Medical Department | Between Groups | .936 | 3 | .312 | .754 | .521 | Failed to reject Ho | Not significant |
Nursing
Department |
122.536 | 296 | .414 | |||||
Administration and Support Department | Within Groups | |||||||
Ancillary
Department |
||||||||
Attended the last CQI | ||||||||
None | Between Groups | 1.350 | 3 | .450 | 1.091 | .353 | Failed to reject Ho | Not significant |
Less than 1
year ago |
Within
Groups |
122.122 | 296 | .413 | ||||
One to two years ago | ||||||||
Over two years |
Legend: Significant if p value is < .05.
The table shows that the p values for years of service, department, and attended the last CQI were greater that the significant value of 0.05. These values were interpreted as not significant which led to the decision of failing to reject the null hypothesis. Thus, there was no significant difference in knowledge on CQI according to years of service, department, and attended the last CQI. Perhaps this can be explained that the fact all members of the hospital are well-informed already about CQI that it does not matter how long you have served the organization, which department one belongs, and as to when the person attended the last CQI. They all received an orientation of on CQI already as required of an ISO certified institution and it does not look into the profile of the respondents. Everyone has to be on board.
Contrary to the findings of having no significant difference, in a study the significantly associated factors positively affected both the knowledge and the attitude of nurses. Being female, being BSc degree holder and above, lived with older people, and care for older people were significantly associated with attitude (Fita et al., 2021).
Table 10 Differences in Attitude on CQI according to Age, Sex, and Participated in a CQI Project
Variables | Mean score | t | df | p value | Decision | Interpretation |
Age | ||||||
Young adult | 2.40 | -1.084 | 298 | .279 | Failed to reject Ho | Not significant |
Middle adult | 2.46 | |||||
Sex | ||||||
Male | 2.42 | .248 | 298 | .805 | Failed to reject Ho | Not significant |
Female | 2.41 | |||||
Attendance to CQI | ||||||
Yes | 2.39 | -.784 | 298 | .434 | Failed to reject Ho | Not significant |
No | 2.43 | |||||
Participated
in a CQI Project |
||||||
Yes | 2.38 | -1.664 | 298 | .097 | Failed to reject Ho | Not significant |
No | 2.47 |
Legend: Significant if p value is < .05.
The table shows that the p values for age, sex, and attendance to CQI, and participated in a CQI project were greater that the significant value of 0.05. These values were interpreted as not significant which led to the decision of failing to reject the null hypothesis. Thus, there was no significant difference in attitude on CQI according to age, sex, and attendance to CQI, and participated in a CQI project. Perhaps this can be explained that the fact all members of the hospital are well-informed already about CQI that it does not matter what age or sex, or whether they had attendance to CQI or they participated in a CQI project or not. They all received an orientation and perhaps was able to embrace the concept of CQI and appreciated its importance and need as required of an ISO certified institution. Contrary to the findings, it revealed that the attitude of administrators, teaching personnel and administrative staff’ towards ISO 9001 in terms of benefits, challenges, recommendations and standards did not differ significantly. Findings further revealed that the employees have mostly positive perceptions of ISO 9001, resulting in positive attitudes in the workplace (Sisno, 2017). Overall attitudes were supportive, with physicians more skeptical. There were different patterns of attitudes in the five Danish regions and between medical professions. A small group of physicians was extremely negative (Ehlers et al., 2017).
Table 11 Differences in Attitude on CQI according to Years of Service, Department, and Last Attendance to CQI
Variable |
Sum of squares |
df |
Mean squar e |
F |
Sig. |
Decision |
Interpretation |
|
Years of Service | ||||||||
1 year below | Between Groups | .927 | 3 | .309 | 1.565 | .198 | Failed to reject Ho | Not significant |
1 to 3 years | Within
Groups |
58.479 | 296 | .198 | ||||
4 to 6 years | ||||||||
Above 6 years | ||||||||
Department | ||||||||
Medical Department | Between Groups | 1.562 | 3 | .521 | 2.665 | .048 | Failed to reject Ho | Not significant |
Nursing
Department |
57.844 | 296 | .195 | |||||
Administration and Support Department | Within Groups | |||||||
Ancillary
Department |
||||||||
Attended the last CQI | ||||||||
None | Between Groups | .298 | 3 | .099 | .497 | .685 | Failed to reject Ho | Not significant |
Less than 1
year ago |
Within
Groups |
59.108 | 296 | .200 | ||||
One to two years ago | ||||||||
Over two years |
Legend: Significant if p value is < .05.
The table shows that the p values for years of service, department, and attended the last CQI were greater that the significant value of 0.05. These values were interpreted as not significant which led to the decision of failing to reject the null hypothesis. Thus, there was no significant difference in attitude on CQI according to years of service, department, and attended the last CQI. Perhaps this can be explained that the fact all members of the hospital are well-informed already about CQI which therefore provided them with the positive attitude already that it does not matter how long you have served the organization, which department one belongs, and as to when the person attended the last CQI. They all received an orientation and therefore were able to develop positive attitude on CQI already as required of an ISO certified institution and it does not look into the profile of the respondents. Everyone has to be on board. Contrary to the findings, it revealed that the attitude of administrators, teaching personnel and administrative staff’ towards ISO 9001 in terms of benefits, challenges, recommendations and standards did not differ significantly. Findings further revealed that the employees have mostly positive perceptions of ISO 9001, resulting in positive attitudes in the workplace (Sisno, 2017). Overall attitudes were supportive, with physicians more skeptical. There were different patterns of attitudes in the five Danish regions and between medical professions. A small group of physicians was extremely negative (Ehlers et al., 2017).
Table 12 Differences in Readiness on CQI according to Age, Sex, and Participated in a CQI Project
Variables | Mean score | t | df | p value | Decision | Interpretation |
Age | ||||||
Young adult | 3.83 | -.176 | 298 | .861 | Failed to reject Ho | Not significant |
Middle adult | 3.85 | |||||
Sex | ||||||
Male | 3.86 | .390 | 298 | .696 | Failed to reject Ho | Not significant |
Female | 3.83 | |||||
Attendance to CQI | ||||||
Yes | 3.79 | -1.622 | 298 | .106 | Failed to reject Ho | Not significant |
No | 3.89 | |||||
Participated in a CQI
Project |
||||||
Yes | 3.83 | -.496 | 298 | .620 | Failed to reject Ho | Not significant |
No | 3.86 |
Legend: Significant if p value is < .05.
he table shows that the p values for age, sex, and attendance to CQI, and participated in a CQI project were greater that the significant value of 0.05. These values were interpreted as not significant which led to the decision of failing to reject the null hypothesis. Thus, there was no significant difference in the readiness on CQI according to age, sex, and attendance to CQI, and participated in a CQI project. Perhaps this can be explained that the fact all members of the hospital had developed the complete and accurate knowledge along with the right attitude and therefore there is nothing left but to be ready for CQI. After all, the institutions is already ISO certified. Contrary to the findings, but more on practice, the findings of the study found that the practice of CQI in vocational colleges (VCs) was at a high level. However, there were significant differences based on demographic factors for the age group in the dimensions of customer focus and teamwork. This study could provide input to the Vocational Educational and Training Department (BPLTV) on the practice of CQI in VCs. With this input, actions and improvement measures can be planned and implemented to improve VCs. Therefore, it is hoped that this study could be a platform for improvement in VCs quality management (Latif & Nor, 2021). In the study of Abou Hashish and Alsayed (2020), the stepwise regression analysis, revealed that as for quality improvement (QI), the result showed that age and educational level were statistically important factors correlated with the QI ratings. Specifically, younger nurses had a lower perceived QI rating, while bachelor’s nurses had a higher QI rating.
Table 13 Differences in readiness on CQI according to Years of Service, Department, and Last Attendance to CQI
Variable |
Sum of squares |
df |
Mean squar e |
F |
Sig. |
Decision |
Interpretation |
|
Years of Service | ||||||||
1 year below | Between Groups | .332 | 3 | .111 | .380 | .767 | Failed to reject Ho | Not significant |
1 to 3 years | Within
Groups |
86.203 | 296 | .291 | ||||
4 to 6 years | ||||||||
Above 6 years | ||||||||
Department | ||||||||
Medical Department | Between Groups | |||||||
Nursing Department | .102 | 3 | .034 | .117 | .950 | Failed to
reject Ho |
Not significant | |
Administration
and Support Department |
Within Groups | 86.433 | 296 | .292 | ||||
Ancillary
Department |
||||||||
Attended the last CQI | ||||||||
None | Between Groups | .952 | 3 | .317 | 1.097 | .350 | Failed to reject Ho | Not significant |
Less than 1
year ago |
Within
Groups |
85.583 | 296 | .289 | ||||
One to two years ago | ||||||||
Over two years |
Legend: Significant if p value is < .05.
The table shows that the p values for years of service, department, and attended the last CQI were greater that the significant value of 0.05. These values were interpreted as not significant which led to the decision of failing to reject the null hypothesis. Thus, there was no significant difference in the readiness on CQI according to years of service, department, and attended the last CQI. Perhaps this can be explained that the fact all members of the hospital had developed the complete and accurate knowledge along with the right attitude and therefore there is nothing left but to be ready for CQI. After all, the institutions is already ISO certified. Contrary to the findings, but more on practice, the findings of the study found that the practice of CQI in vocational colleges (VCs) was at a high level. However, there were significant differences based on demographic factors for the age group in the dimensions of customer focus and teamwork. This study could provide input to the Vocational Educational and Training Department (BPLTV) on the practice of CQI in VCs. With this input, actions and improvement measures can be planned and implemented to improve VCs. Therefore, it is hoped that this study could be a platform for improvement in VCs quality management (Latif & Nor, 2021). In the study of Abou Hashish and Alsayed (2020), the stepwise regression analysis, revealed that as for quality improvement (QI), the result showed that age and educational level were statistically important factors correlated with the QI ratings. Specifically, younger nurses had a lower perceived QI rating, while bachelor’s nurses had a higher QI rating.
Conclusion. In In conclusion, knowledge influences both attitude and readiness as attitude also influences readiness. When knowledge is increased this poses a positive attitude and increases readiness on CQI. Also, when attitude is made very positive this increases readiness on CQI. Also, there are no variations in the knowledge, attitude, and readiness according to the profile. No matter what the profile is, a high level of knowledge on CQI can still be gained, a very positive can still be achieved, and a high level of readiness on CQI can still be attained. The study findings affirmed the assumption of the Knowledge, Attitude, and Practice (KAP) Theory by Ross & Smith, 1969 as cited in Fan et al. (2018) wherein knowledge influences attitude and readiness. To address the findings of the study a CQI Readiness Plan was created.
Recommendations. The results of this study guide the following suggestions are offered:
CQI Readiness Sustenance Plan
Rationale
Continuous Quality Improvement (also known as CQI) refers to the gradual and ongoing enhancement of procedures, as well as patient care and safety. CQI may have as its purpose the enhancement of operations, results, and system processes; the betterment of the working environment; or the achievement of regulatory compliance. The nature of the process improvement could be described as “gradual” or “breakthrough.” The development of a CQI project often consists of describing the problem, performing benchmarking, determining a goal, and then engaging in iterative quality improvement projects. Improvements are made using the iterative process, the effect of the improvements is measured, and then the process is repeated until the intended output is reached. Continuous Quality Improvement is essential for a number of reasons, including the fact that it enables the delivery of high- quality service to the customer, high performance by improving the efficiency of processes, the development of a cohesive team, a reduction in non-value-added activity and waste, a decrease in costs, and an increase in the level of safety in the workplace. Continuous Quality Improvement helps develop organizational clarity, which in turn results in a high level of service quality for clients. Findings of the study revealed that respondents were knowledgeable about the fundamental principles on CQI. The respondents had a positive attitude towards CQI. Overall, the respondents were ready on CQI. The respondents believed that CQI project relevant to their area of practice was the very important facilitator of CQI. There was a significant interrelationship among knowledge, attitude, and readiness on CQI. The top three barriers to CQI were time, the lack of awareness of hospital CQI process, and the lack of CQI knowledge. With all these findings, thus this CQI readiness sustenance plan was created.
General Objectives
The primary purpose of this plan is sustaining the high level of knowledge, positive attitude, and high level of readiness on CQI while addressing the different barriers among hospital employees.
Specific Objectives
This plan aims to achieve the following specific objectives:
Concern | Specific Objectives | Activities | Persons Responsible | Resources | Time Frame | Success Indicators |
The need to sustain the high level of knowledge on CQI | · To sustain the high level of knowledge on CQI. | Personally- initiated activities:
· Read articles and view videos about continuous quality improvement. · Attend free or paid webinars on CQI and ISO. Hospital-initiated activities: · Re-conduct ISO Awareness especially for new employees. · Conduct a webinar on continuous quality improvement and orient on the CQI adopted by the hospital. |
· Hospital employees.
· Hospital Administrators
· Department Heads · Quality Assurance Department |
· Internet connectivity
· Desktop, laptop, tablets, or android phones · Budget for the webinar (Php 5,000.00 / webinar) · Training Needs Assessment Tool. · Instrument to assess knowledge on CQI |
· Second quarter of 2023 onwards | · Saved articles and videos
· Certificates of attendance on the webinars · Minutes of meetings · Orientation attendance · Training Needs Assessment Results. · Sustained high level of knowledge on CQI. |
The need to sustain the positive attitude on CQI | · To sustain the positive attitude on CQI. | Personally- initiated activities:
· Read articles and view videos about continuous quality improvement. · Attend free or paid webinars on CQI and ISO. Hospital-initiated activities: · Conduct a webinar on the Benefits of CQI and ISO Certification. · Conduct periodic meetings. · Re-assess the attitude on CQI six months following the implementation of this plan |
· Hospital employees.
· Hospital Administrators · Department Heads
· Quality Assurance Department |
· Internet connectivity
· Desktop, laptop, tablets, or android phones · Budget for the webinar (Php 5,000.00 / webinar) · Instrument to assess attitude on CQI |
· Second quarter of 2023 onwards | · Saved articles and videos
· Certificates of attendance on the webinars · Minutes of meetings · Orientation attendance · Sustained positive attitude on CQI. |
The need to sustain the high level of somewhat ready on CQI | · To sustain the high level of readiness on CQI. | Personally- initiated activities:
· Read articles and view videos about continuous quality improvement. · Attend free or paid webinars on CQI and ISO. Hospital-initiated activities: · Institute measures on customer feedback such as providing a suggestion box, and answering feedbacks from the official Facebook account of Official website.
|
· Hospital employees
· Hospital Administrators · Department Heads
· Quality Assurance Department |
· Internet connectivity
· Desktop, laptop, tablets, or android phones · Budget for the webinar (Php 5,000.00 / webinar) · Official website and Facebook account · Strategic, Operational and Staff Development Plans · SOPPs · Budget for the suggestion box. · Internal audit instruments
|
· Second quarter of 2023 onwards | · Saved articles and videos
· Certificates of attendance on the webinars · Answered complaints or feedbacks from the official Facebook account and official website. · Installed suggestion box. · Revised Strategic, Operational, and Staff Development Plans. · Revised SOPPs
|
CQI six months following the implementation of this plan | ||||||
CQI project relevant to their area of practice as the very important facilitator on CQI | · To make sure that all CQIs are relevant to the practice of the hospital employees. | Personally- initiated activities:
· Read articles and view videos about continuous quality improvement. · Attend free or paid webinars on CQI and ISO. Hospital-initiated activities: · Conduct Training Needs Assessment among all employees · Develop a staff development plan based on the TNA results. |
· Hospital employees.
· Hospital Administrators
· Department Heads · Quality Assurance Department |
· Internet connectivity
· Desktop, laptop, tablets, or android phones · TNA Tool · Staff Development Plan · Budget for the webinar (Php 5,000.00 / webinar) · Instrument to assess facilitators on CQI |
· Second quarter of 2023 onwards | · Saved articles and videos
· Certificates of attendance on the webinars · TNA Results · Update Staff Development Plan · Minutes of Meetings. · CQI project relevant to their area of practice as the very important facilitator |
Top three barriers of time, the lack of awareness of hospital CQI process, and the lack of CQI
knowledge |
· To allocate time for CQI
implementation. · To raise awareness on hospital CQI process. · To increase the knowledge on CQI. |
Personally- initiated activities:
· Read articles and view videos about continuous quality improvement. · Attend free or paid webinars on CQI and ISO. Hospital-initiated activities: · Conduct a webinar on Time Management and CQI as a way of life. Conduct an orientation on the need to do CQI as part of the ISO certification process. · Re-assess the barriers on CQI six months following the implementation of this plan.
|
· Hospital employees.
· Hospital Administrators · Department Heads · Quality Assurance Department |
· Internet connectivity
· Desktop, laptop, tablets, or android phones · Budget for the webinar (Php 5,000.00 / webinar) · Instrument to assess barriers on CQI |
· Second quarter of 2023 onwards | · Saved articles and videos
· Certificates of attendance on the webinars · Orientation attendance · Time, the lack of awareness of hospital CQI process, and the lack of CQI knowledge are no longer barriers to CQI. · All those mentioned in the success indicators of sustaining a high level of knowledge. |
https://doi.org/10.5539/ibr.v9n9p34.
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