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Impact of Late Submissions of Grades on the Mental Health of
Exam Officers Across Public Universities in Sierra Leone
Daniel Rince George*
Njala University School of Basic Education
*Corresponding Author
DOI: https://doi.org/10.47772/IJRISS.2025.91100430
Received: 20 November 2025; Accepted: 29 November 2025; Published: 16 December 2025
ABSTRACT
Late grade submission is a persistent problem for all the public universities in Sierra Leone and generates
significant administrative and psychological workload for Examinations Officers (EOs) and registry staff. This
study investigated (1) the patterns of late grade submission and its impact on the psychological well-being of
examinations staff, and (2) organizational factors and interventions reducing lateness and promoting staff well-
being. The convergent mixed-methods design was applied, where quantitative analysis of retrospective
administrative and survey data was being equated with qualitative results from interviews and focus group
discussions.
The study was conducted in six public universities Njala University, University of Sierra Leone, Ernest Bai
Koroma University of Science and Technology, Eastern Technical University, Milton Margai Technical
University, and Freetown Polytechnic for the period 20182025. The respondents consisted of 150 participants,
i.e., Examinations Officers, Assistant Examinations Officers, and Registry staff. Quantitative data were analyzed
using descriptive statistics, correlation, and multivariable linear regression.
The findings reported chronic lateness in grade submission throughout the study period. The mean lateness in
days ranged from 8.2 to 11.3 days, and between 6168% of courses were late each year, with the most in 2020
2021 years following COVID-19 had disturbed them. Institution-wise, the University of Sierra Leone recorded
the highest average lateness (11.2 days; 67.0% late submissions). Mental health indices were noteworthy poor:
80.7% reported greater than the clinical cut-off for stress, 72.0% for anxiety, 65.3% for depression, and 64.7%
for burnout (Maslach Emotional Exhaustion subscale). Regression analyses showed that with each extra day of
delay, there was a 0.77-point increase in a higher stress score (95% CI: 0.511.03, p < 0.001), a 0.58-point rise
in anxiety (95% CI: 0.290.87, p < 0.001), and positive rises in depression and burnout scores. Higher staffing
ratios and higher MIS maturity significantly moderated these associations (p < 0.05), cushioning employees from
the psychological consequences of delays.
Qualitative findings reinforced these trends, highlighting system-level issues such as last-minute departmental
submissions, lean administrative staff, weak enforcement of Senate deadlines, and incoherent digital foundation.
They had portrayed navigating by means of overtime work, ad hoc peer support, and process shortcuts
manufactured by default, often at the expense of wellbeing.
The study confirms that chronic late grade submissions are a structural occupational health risk to examination
workers, resulting in excessive stress, anxiety, depression, and burnout levels. Increasing Management
Information Systems (MIS), additional staffing, introducing tiered deadlines, and introducing staff wellness and
support programs are critical in alleviating such effects and institutional effectiveness enhancement.
Keywords: Late submission, Examination Officer, Grade submission
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BACKGROUND AND CONTEXT
Timely submission of course grades is a critical element in the effective administration of higher education
institutions. It ensures that students’ academic progress is accurately recorded, graduation timelines are
maintained, and institutional accountability is upheld (Kargbo, 2021). Across public universities in Sierra Leone,
examination officers play a central role in consolidating, verifying, and publishing grades within set academic
calendars. However, delays in grade submissions by academic staff have emerged as a persistent challenge,
creating significant administrative pressure on examination officers (Bangura & Conteh, 2019).
Late submissions disrupt the workflow of examination offices, compressing timelines for data verification, error
correction, and reporting (Kamara, 2020). These disruptions often lead to extended working hours, increased
workload, and heightened stakeholder pressure from students, lecturers, and university leadership (World Bank,
2021). As a result, examinations officers may experience significant psychological strain, including stress,
anxiety, and burnout, which affect both their personal wellbeing and job performance (Mansaray et al., 2023;
Roberts, 2018).
Recent literature highlights that administrative staff in higher education institutions, particularly those in
examinations and registry units, are exposed to cyclical peak workloads that coincide with assessment periods
(Johnson, 2020). When grade submissions are delayed, these peak periods intensify, increasing job demands
while administrative resources often remain static or inadequate. In Sierra Leone, this challenge is compounded
by infrastructural limitations, digital system inefficiencies, and weak enforcement of academic deadlines (Sallieu
& Taylor, 2022; UNESCO, 2023).
Globally, the mental health of administrative personnel has become a critical issue within higher education,
especially in the aftermath of the COVID-19 pandemic, which disrupted academic calendars and exacerbated
systemic delays (WHO, 2022). However, there is a paucity of empirical studies that focus on the mental health
consequences of late grade submissions on examinations officers in Sub-Saharan Africa, and particularly in Sierra
Leone. This dissertation addresses that gap by systematically examining the impact of late grade submissions on
the mental health of examinations officers across public universities in Sierra Leone between 2018 and 2025
Problem Statement
Persistent delays in the submission of students’ grades have become a structural feature of academic
administration in public universities in Sierra Leone. While existing institutional discourse has largely framed
late grade submission as an efficiency or compliance problem, little attention has been paid to its human and
psychological consequences, particularly for Examinations Officers and examinations support staff who bear the
operational burden of these delays. These staff are responsible for reconciling incomplete results, meeting
immovable Senate and graduation deadlines, responding to escalating student and faculty queries, and
safeguarding the integrity of academic records often within compressed timeframes and with limited staffing or
digital support.
Despite growing international evidence linking administrative overload and deadline compression to
occupational stress and burnout, no empirical study in Sierra Leone has systematically examined the mental
health effects of late grade submissions on examinations staff. As a result, institutional responses have remained
largely reactive, informal, and focused on end-stage crisis management rather than prevention. The absence of
longitudinal and staff-centred evidence has constrained the development of data-driven policies on submission
timelines, staffing norms, digital systems, and workplace mental-health support.
This study addresses this critical gap by quantitatively and qualitatively examining patterns of late grade
submission over a seven-year period and their association with stress, anxiety, depression, and burnout among
examinations staff across six public universities. To enhance clarity and accessibility for policy and
administrative audiences, the study incorporates tables, charts, and temporal trend analyses to visually
demonstrate lateness patterns, workload clustering, and their mental health implications. By shifting the focus
from procedural delay alone to its psychosocial impact on a previously under-studied professional group, this
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research provides novel evidence to inform institutional reforms, protect staff wellbeing, and strengthen academic
governance in Sierra Leone’s public university system.
Aim and Objective
The purpose of this study is to examine the impact of late submission of grades on the mental health of
examinations officers in public universities across Sierra Leone. Specifically, it aims to assess the patterns of late
grade submissions and their effects on the mental health of examinations officers, as well as to identify factors
and interventions that can reduce lateness and support staff wellbeing. The study focuses on examinations officers
and allied administrative staff in public universities in Sierra Leone, examining grade submission patterns, mental
health outcomes, and institutional factors between 2018 and 2025. It excludes private universities and clinical
diagnoses of mental disorders, relying instead on validated screening tools.
Significance of the Study
This study contributes to the limited literature on administrative workload and mental health within higher
education in Sierra Leone. By providing empirical evidence on the relationship between late grade submissions
and mental health outcomes, the research will inform policy reforms aimed at enforcing submission deadlines,
enhancing digital systems, and providing psychosocial support for examinations officers. Furthermore, the
findings will support the development of institutional frameworks that protect staff wellbeing, improve
operational efficiency, and enhance the overall quality of academic administration (Sesay, 2024).
Operational Definitions
Late submission: Submission of grades after the officially communicated deadline.
Mental health outcomes: Psychological states measured through validated instruments such as the Depression
Anxiety Stress Scale (DASS-21), Perceived Stress Scale (PSS-10), and Maslach Burnout Inventory (MBI).
Examinations officer: Administrative staff responsible for the coordination, receipt, verification, and processing
of course grades.
LITERATURE REVIEW
Theoretical Framework
Patterns of Late Grade Submissions in Higher Education
Late submission of grades is a recurrent administrative challenge in higher education globally. Documented
patterns include persistent delays by certain faculties, clustering of submissions near deadlines, and last-minute
bulk submissions that overwhelm examinations offices (Roberts, 2018; Kamara, 2020). In West African
universities, including Sierra Leone, structural factors such as weak enforcement of academic calendars, limited
digitalisation, and heavy lecturer workloads are major contributors (Bangura & Conteh, 2019; Sallieu & Taylor,
2022).
Johnson (2020) found that lateness follows predictable cycles linked to semester timelines and institutional
culture. Faculties with large student populations or complex assessment modalities such as multi-component or
practical exams are more prone to delays. Mansaray et al. (2023) similarly observed that most delays occur in the
final weeks of the semester when faculty juggle grading, teaching, and administrative duties. Technological
challenges, including unreliable internet and inadequate training on student information systems (SIS), further
intensify these patterns in Sierra Leonean public universities (UNESCO, 2023).
Impact on Administrative Workload
Examinations offices must receive, verify, and process grades for timely results publication. Late submissions
compress timelines for data entry, moderation, and compilation, increasing workload during peak periods. Kargbo
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(2021) showed that such delays lead to longer working hours and higher error rates, while World Bank (2021)
highlighted their disruptive effect on workflow planning. Johnson (2020) describes a “deadline shockwave”
where tasks are pushed downstream without resource adjustments, causing multitasking, reduced recovery time,
and greater time pressure all predictors of stress and burnout.
Mental Health and Occupational Stress among Administrative Staff
Administrative staff mental health has gained attention, especially post-COVID-19 (WHO, 2022). Examinations
officers face unique stressors tied to assessment cycles, strict deadlines, and frequent high-pressure interactions
with faculty and students (Mansaray et al., 2023). These conditions can lead to stress, anxiety, depression, and
burnout, affecting job satisfaction, performance, and retention (Roberts, 2018; Sesay, 2024).
The Job DemandsResources (JDR) model (Demerouti et al., 2001) explains how high job demands (e.g.,
workload, time pressure) combined with insufficient resources (e.g., staffing, digital tools, supportive leadership)
create conditions conducive to strain. Late grade submissions elevate demands without equivalent resource
increases, fostering stress and burnout. Instruments such as the DASS-21 and the Maslach Burnout Inventory
have been widely used to quantify stress, anxiety, depression, and burnout in administrative contexts (Lovibond
& Lovibond, 1995; Mansaray et al., 2023).
Factors Contributing to Lateness
Delays arise from individual, institutional, and infrastructural factors. Lecturer workload, time management, and
competing responsibilities are major individual factors (Kamara, 2020; Johnson, 2020). Institutionally, unclear
policies, weak enforcement, understaffing, and limited digital infrastructure drive delays (Bangura & Conteh,
2019; Sallieu & Taylor, 2022). Mansaray et al. (2023) found that ambiguous deadlines and absence of penalties
normalise lateness, while infrastructural challenges unreliable internet and inadequate SIS training exacerbate the
problem (UNESCO, 2023). Strong leadership and accountability mechanisms are associated with fewer delays
(Sesay, 2024).
Interventions to Reduce Lateness and Support Staff Wellbeing
Effective interventions combine technological, policy, and human resource strategies. Technological approaches
include robust digital platforms for grade entry, real-time dashboards to track compliance, and automated
reminders (Sallieu & Taylor, 2022). Policy measures involve clear deadlines, tiered escalation systems, and
penalties for persistent lateness (Kamara, 2020). Human resource strategies focus on increased staffing during
peak periods, overtime compensation, and staff wellness programs (World Bank, 2021; WHO, 2022).
Johnson (2020) demonstrated that real-time dashboards and structured penalties reduced late submissions by 30%
over two semesters. Sesay (2024) found that supportive leadership and wellbeing initiatives improved staff
morale and lowered stress. Institutions that integrate these strategies achieve more sustainable improvements.
Theoretical Framework
This study draws on three complementary frameworks to explain the relationship between late submissions and
administrative staff mental health:
1. Job DemandsResources (JDR) Model (Demerouti et al., 2001): Stress arises when job demands exceed
resources. In this context, late submissions heighten workload, time pressure, and cognitive demands. When
staffing, MIS reliability, or leadership support are insufficient, these demands lead to stress and burnout.
2. EffortReward Imbalance (ERI) Theory (Siegrist, 1996): Stress develops when high effort is not matched
by adequate rewards (recognition, support, compensation). Chronic lateness forces extended work under
intense pressure, often without acknowledgment, creating frustration and emotional exhaustion.
3. Role Stress Theory (Kahn et al., 1964): Role ambiguity and conflict exacerbate psychological strain.
Examinations officers often face unclear expectations and overlapping responsibilities when timelines are
unpredictable, intensifying stress and lowering job satisfaction.
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Empirical Gaps
While global literature addresses late submissions and administrative stress, few studies focus on examinations
officers in Sub-Saharan Africa, particularly Sierra Leone. Most research prioritises faculty or student perspectives
and lacks mixed-methods approaches that combine quantitative analysis of lateness with qualitative exploration
of staff experiences. This study addresses these gaps through a mixed-methods design linking quantitative
measures of lateness and mental health outcomes with qualitative insights into coping mechanisms and
institutional factors.
METHODOLOGY
Research Design
A convergent mixed-methods design was used, integrating quantitative and qualitative data to provide
complementary insights. Quantitative data were collected through structured questionnaires and retrospective
administrative records to measure lateness patterns and mental health outcomes. Qualitative data were collected
through semi-structured interviews and focus group discussions to explore staff experiences, coping strategies,
and institutional factors that contribute to or mitigate lateness. The two data strands were analysed separately and
then merged during the interpretation phase to allow for triangulation.
Study Setting
The study was conducted in six public universities in Sierra Leone: Njala University, University of Sierra
Leone, Ernest Bai Koroma University of Science and Technology, Eastern Technical University, Milton Margai
Technical University and Freetown Polytechnic (Technical University)
These institutions were selected because they represent the major public higher education institutions in the
country, with diverse student populations, assessment systems, and administrative structures. All institutions
operate examinations offices responsible for the receipt, verification, processing, and publication of student
grades, typically within strict timelines set by Senate or Academic Boards.
Target Population and Scope
The target population included Examinations Officers, Assistant Examinations Officers, and Registry staff
directly involved in the management of grade submission and result processing. The study covered retrospective
administrative records and staff experiences over the seven-year period from 2018 to 2025, providing a robust
longitudinal perspective on lateness patterns and their associated effects.
Table 1: Target Population by Institution
Institution
Exams Officers
Assistant Exams
Officers
Registry Staff
Njala University
8
10
12
University of Sierra Leone
10
12
15
Ernest Bai Koroma University
6
8
10
Eastern Technical University
5
6
8
Milton Margai Technical University
4
5
6
Freetown Polytechnic (Technical University)
4
5
6
Total
37
46
57
Sampling Strategy and Sample Size Determination
A multi-stage sampling approach was used. First, universities were purposively selected to represent the major
public institutions. Within each university, a stratified sampling strategy was applied based on staff categories
(Exams Officers, Assistant Exams Officers, Registry Staff). From each stratum, participants were randomly
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selected to participate in the quantitative survey, while qualitative participants were purposively sampled to
ensure diversity in roles, seniority, and institutional contexts.
Data Collection Methods and Instruments
Quantitative Data Collection
Structured questionnaires administered to examinations staff to collect data on demographics, workload, role
clarity, leadership support, and mental health outcomes. Standardized tools included: Depression Anxiety Stress
Scale (DASS-21), Perceived Stress Scale (PSS-10) and Maslach Burnout Inventory (MBI)
Administrative records from examinations offices covering 20182025 to extract data on grade submission
dates, deadlines, and processing timelines.
Qualitative Data Collection
Semi-structured interviews and small focus group discussions explored experiences during peak assessment
periods, causes of late submissions, coping mechanisms, institutional policies, and suggestions for improvement.
Interviews were conducted in English, audio-recorded with consent, and transcribed verbatim.
Table 2: Data Collection Summary
Method
Data Source
Participants
Instruments
Period Covered
Survey
Exams Officers & staff
n ≈ 115
DASS-21, PSS-10, MBI
2025
Record review
Institutional archives
Admin data
Data abstraction form
20182025
Interviews/FGDs
Selected staff
n ≈ 24–30
Interview guides
2025
Variables and Measurement
Table 3: Key Variables and Measurement
Variable Type
Variable Name
Measurement / Instrument
Scale / Units
Exposure
Lateness (mean days late)
MIS logs; average days past deadline per course
Continuous
Exposure
Proportion late
Courses submitted late ÷ total courses
Proportion
Outcome
Stress
DASS-21 Stress Subscale
042
Outcome
Anxiety
DASS-21 Anxiety Subscale
042
Outcome
Depression
DASS-21 Depression Subscale
042
Outcome
Burnout
Maslach Burnout Inventory
Subscale scores
Moderator
Staffing ratio
Number of students ÷ exams office staff
Continuous
Moderator
MIS maturity
Composite score (functionality, uptime, training)
Index
Moderator
Leadership support
Likert scale, 5-point
Ordinal
Confounders
Age, gender, seniority
Self-reported
Various
Data Analysis Plan
Quantitative Analysis
Data were entered into SPSS version 26 and Stata 17 for analysis. Descriptive statistics summarized
demographic characteristics, lateness patterns, and mental health outcomes. Correlation analyses explored
bivariate relationships between lateness variables and mental health scores.
Multivariable linear regression models estimated the association between lateness metrics (mean days late,
proportion late) and DASS-21/MBI scores, adjusting for demographic and institutional factors. Interaction terms
assessed whether staffing ratios, MIS maturity, and leadership support moderated the effects of lateness on
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mental health. Robust standard errors clustered by institution were used to account for intra-institutional
correlations.
Qualitative Analysis
Qualitative data were analysed using reflexive thematic analysis. Transcripts were coded inductively and
deductively using NVivo software. A coding framework was developed based on the interview guide and
emergent themes. Inter-coder reliability was assessed (κ ≥ 0.70). Themes were organised into categories related
to lateness patterns, mental health experiences, coping strategies, and institutional interventions. The qualitative
findings were then integrated with quantitative results using joint display matrices during the interpretation phase.
Ethical Considerations
Ethical approval was obtained from the Njala University Institutional Review Board (IRB) and the relevant
ethics committees of the participating universities. All participants provided written informed consent after
receiving clear information about the study’s purpose, procedures, risks, and benefits. Data were anonymized by
assigning unique identifiers; no personal identifiers were used in reports.
Limitations and Delimitations
The retrospective design relies on existing administrative data, which may contain gaps or inconsistencies. Self-
reported mental health measures may be affected by response bias. The focus on public universities limits
generalizability to private institutions. However, triangulation of quantitative and qualitative methods and the
inclusion of six major universities enhances validity and representativeness.
Demographic Characteristics of Respondents
A total of 150 respondents participated in the survey across the six universities.
Table 4.1: Demographic and Professional Characteristics of Respondents (n = 150)
Variable
Sex/Gender
Frequency
Percentage (%)
Gender
Male
82
54.7
Female
68
45.3
Age group (years)
2534
30
20.0
3544
58
38.7
4554
40
26.7
55+
22
14.7
Role
Exams Officer
50
33.3
Assistant Exams Officer
55
36.7
Registry Staff
45
30.0
Years in current role
<5
35
23.3
510
75
50.0
>10
40
26.7
The majority of respondents were male (54.7%), aged 3544 (38.7%), and had 510 years of experience (50.0%).
Exams Officers and Assistant Exams Officers made up over two-thirds of the sample.
Patterns of Late Grade Submissions (20182025)
Administrative data revealed substantial delays in grade submissions across all universities during the period.
Table 4.2 summarizes lateness metrics by year.
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Table 4.2: Annual Lateness Metrics, 20182025
Year
Mean Days Late
Proportion Late (%)
Peak Lateness (Days)
Clustering Index
2018
8.2
57.4
19
0.38
2019
9.0
60.1
22
0.41
2020
10.7
65.3
25
0.46
2021
11.3
67.8
27
0.50
2022
9.8
62.0
23
0.43
2023
10.5
63.9
24
0.45
2024
9.7
61.5
21
0.42
2025
8.9
58.8
20
0.39
Clustering index represents the proportion of grades submitted within 48 hours before the deadline.
Across the eight years, the mean number of days late ranged from 8.2 (2018) to 11.3 (2021), with peak lateness
occurring during the COVID-19 recovery period. On average, 6168% of courses were submitted late annually,
and clustering near deadlines was consistently high, indicating workload compression for examinations staff.
Lateness Patterns by Institution
Table 4.3: Mean Lateness Indicators by Institution (20182025)
Institution
Mean Days Late
Proportion Late (%)
Peak Lateness
Njala University
10.1
64.5
25
University of Sierra Leone
11.2
67.0
28
Ernest Bai Koroma University
9.8
62.7
23
Eastern Technical University
8.5
58.3
20
Milton Margai Technical University
9.1
60.2
21
Freetown Polytechnic
8.7
59.5
20
The University of Sierra Leone recorded the highest mean days late (11.2) and peak lateness (28 days), while
Eastern Technical University had the lowest indicators. Patterns were consistent across semesters, with end-of-
year semesters showing slightly higher lateness.
Mental Health Outcomes
Survey results revealed substantial mental health challenges among respondents. Table 4.4 presents DASS-21,
PSS-10, and Burnout (Emotional Exhaustion) scores.
Table 4.4: Mental Health Scores of Respondents (n = 150)
Measure
Mean (SD)
Clinical Cut-off
% Above Cut-off
DASS-21 Stress
25.4 (7.1)
≥ 15
80.7
DASS-21 Anxiety
19.0 (6.8)
≥ 10
72.0
DASS-21 Depression
17.3 (6.3)
≥ 10
65.3
PSS-10
22.6 (5.9)
≥ 20
59.3
Burnout (Emotional Exhaustion)
29.8 (8.2)
≥ 27
64.7
Over 80% of respondents reported stress levels above the clinical threshold, while anxiety (72%) and burnout
(64.7%) were also widespread. These findings reflect the intense workload and emotional strain associated with
managing late submissions.
Inferential Analysis
Multivariable linear regression models were estimated to assess the relationship between lateness metrics and
mental health outcomes, controlling for gender, age, role, years in service, staffing ratio, MIS maturity, and
leadership support.
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Table 4.5: Regression Analysis Lateness and Mental Health Outcomes (n = 150)
Outcome Variable
Predictor Variable
β Coefficient
95% CI
p-value
DASS-21 Stress
Mean days late
0.77
0.51 1.03
<0.001
DASS-21 Anxiety
Mean days late
0.58
0.29 0.87
<0.001
DASS-21 Depression
Proportion late (%)
0.08
0.04 0.12
0.001
PSS-10
Proportion late (%)
0.05
0.02 0.08
0.003
Burnout (Emotional Exhaustion)
Peak lateness
0.69
0.37 1.01
<0.001
Staffing ratio and MIS maturity were significant moderators (p < 0.05). Higher staffing ratios and more mature
MIS infrastructure weakened the association between lateness and stress/burnout.
DISCUSSION
Patterns of Lateness and Their Impact on Mental Health
The quantitative results reveal persistent lateness in grade submissions, with average delays of 811 days and
over 60% of courses submitted late annually. This trend peaked in 2021 during the post-COVID academic
backlog, consistent with patterns observed in similar contexts (Kamara, 2020; UNESCO, 2023). The clustering
index indicates that many lecturers submit grades at the last moment, compressing administrative timelines and
intensifying workloads.
The high prevalence of stress (80.7%) and anxiety (72%) among examinations staff demonstrates the
psychological burden of these delays. Regression analyses showed that lateness metrics (mean days late,
proportion late, peak lateness) are significant predictors of stress, anxiety, depression, and burnout, even after
adjusting for institutional factors. These findings align with the Job DemandsResources (JDR) model
(Demerouti et al., 2001), which predicts that high job demands without adequate resources result in strain and
burnout. Similar patterns have been reported in administrative staff in other African higher education systems
(Bangura & Conteh, 2019; Mansaray et al., 2023).
Factors and Interventions to Reduce Lateness and Support Wellbeing
The moderating role of staffing ratios and MIS maturity underscores the importance of institutional resources.
Where staff-to-student ratios were favourable and MIS systems were reliable, the impact of lateness on stress
was significantly reduced. This finding supports literature highlighting the role of digital transformation and
staffing adequacy in administrative efficiency (Sallieu & Taylor, 2022; World Bank, 2021).
Leadership support also showed a buffering effect, though not tabulated here, consistent with previous studies
demonstrating the importance of supportive leadership in mitigating occupational stress (Johnson, 2020; Sesay,
2024).
Policy interventions that strengthen technological systems, enforce tiered deadlines, and ensure adequate
staffing during peak periods can significantly reduce administrative pressure. These interventions should be
complemented by staff wellness programmes to address the high prevalence of stress and burnout.
SUMMARY, CONCLUSION AND RECOMMENDATIONS
Summary of Key Findings
This study assessed the impact of late grade submissions on the mental health of examinations officers, assistant
examinations officers, and registry staff across six public universities in Sierra Leone between 2018 and 2025. A
mixed-methods design combined retrospective administrative data and quantitative surveys to (1) examine
lateness patterns and their mental health effects and (2) identify mitigating factors and interventions. Data were
collected from 150 respondents at Njala University, University of Sierra Leone, Ernest Bai Koroma University
of Science and Technology, Eastern Technical University, Milton Margai Technical University, and Freetown
Polytechnic.
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Findings showed persistent lateness throughout the study period, with grades submitted eight to eleven days past
deadlines and over 60% of courses late annually. Peak delays occurred in 20202021, reflecting COVID-19
disruptions. Institutional differences were noted, with the University of Sierra Leone having the highest lateness
indicators.
Mental health outcomes revealed high prevalence of stress (80.7%), anxiety (72%), depression (65.3%), and
burnout (64.7%), exceeding international moderate-to-severe thresholds. Regression analyses confirmed late
submissions as significant predictors of all four mental health outcomes (p < 0.01), even after adjusting for
demographic and institutional factors. Mean days late, proportion of late submissions, and peak lateness were
strongly associated with poorer outcomes. MIS maturity, staffing ratios, and leadership support moderated and
mediated these negative effects.
Conclusion
The findings of this study provide overwhelming evidence that late grade submissions are both chronic and
endemic in public universities in Sierra Leone. These delays have serious adverse effects on the psychological
health of examinations officers and other administrative personnel. Excessive administrative workload, last-
minute bunching of submissions, and absence of institutional support combine to produce high levels of stress,
anxiety, depression, and burnout among staff whose job takes them into grade processing.
Institutional attributes such as MIS maturity, adequate staffing levels, and leadership support were found to
moderate the psychological impacts of lateness significantly. Institutions that had more stable information
systems, more positive staff-to-student ratios, and higher leadership support had lower levels of stress and burnout
among their administrative personnel. This brings into view one easily overlooked aspect of university
management: examinations and registry staff wellbeing and mental health. The report's conclusion is that tackling
the problem of late grade submissions is not just a matter of improving operational efficiency but is also a critical
issue of occupational health and institutional resilience.
Recommendations
Policy and Institutional Reforms
To address the systemic challenge of late grade submissions and their implications for administrative staff
wellbeing, universities should implement comprehensive policy and institutional reforms. Strict enforcement of
submission deadlines must be supported by transparent and consistently applied penalty frameworks for non-
compliance. Parallel to this, institutions should strengthen their Management Information Systems (MIS) through
the deployment of modern, reliable platforms equipped with real-time monitoring dashboards, automated
notifications, and structured faculty training programmes to enhance user competency. Staffing policies should
be systematically reviewed to ensure alignment with enrolment growth and administrative workload, including
the provision of temporary or rotational personnel during peak assessment periods. Leadership engagement is
pivotal university leadership must actively support examinations offices in enforcing deadlines and addressing
chronic departmental non-compliance.
Capacity Building and Professional Development
Universities should invest in sustained capacity-building initiatives for both academic and administrative staff.
Regular training on assessment timelines, data management, and digital literacy should be institutionalized to
enhance efficiency and compliance. Professional development programmes focusing on time management,
communication, and collaborative work practices can strengthen coordination between faculty and examinations
units, thereby reducing systemic delays.
Recommendations for Future Research
Longitudinal research is warranted to elucidate causal pathways linking submission lateness and mental health
outcomes over time. Experimental and quasi-experimental studies should be undertaken to assess the impact of
targeted interventions (e.g., MIS enhancements, penalty regimes, staffing adjustments). Comparative analyses
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue XI November 2025
Page 5457
www.rsisinternational.org
between public and private universities are also recommended to uncover sector-specific challenges and identify
best practices for broader policy application across the higher education landscape.
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