Manuscript Revision Annotations

Health System Resilience Study

OVERVIEW

This document shows exact edits needed to the manuscript with proposed revised language. Copy-paste the revised passages directly into your Word document where indicated.


SECTION 1: INTRODUCTION

Addition: Empirical Evidence from Sub-Saharan Africa

LOCATION: After the paragraph ending with “…may misalign global standards and local practice”

Current text to locate: > “Empirical work that surfaces how stakeholders in a given national context conceptualize resilience is therefore valuable for theory refinement and operational tool development. To contribute to this evidence base, we explored how Uganda’s national-level health system stakeholders define resilience to infectious disease shocks and its attributes, with the aim of proposing a contextualized definition relevant to Uganda and comparable settings.”

BEFORE this paragraph, INSERT the following new paragraph:

Empirical research on health system resilience in sub-Saharan Africa reveals context-specific 
challenges and capacities that differ substantially from high-income health systems. Recent qualitative 
work in East African contexts has highlighted several tensions: the gap between decentralization policy 
and fiscal reality at subnational levels; weak institutional mechanisms for capturing and institutionalizing 
lessons learned from outbreaks; and persistent dependency on donor-driven preparedness initiatives rather 
than domestically financed, routinized preparedness. These patterns have been documented in qualitative 
research following Ebola and COVID-19 responses across the region. Moreover, very few empirical studies 
have examined how national-level stakeholders in East Africa conceptualize and operationalize health system 
resilience in response to disease shocks. Understanding local stakeholder definitions is critical for 
translating global frameworks into context-sensitive policies and programs. To fill this gap, we conducted 
a qualitative study of Uganda's national-level health system stakeholders, exploring how they conceptualize 
resilience and identify the attributes of a resilient system, with the aim of proposing a contextualized 
definition relevant to Uganda and comparable resource-constrained settings in sub-Saharan Africa.

RATIONALE: - Establishes empirical grounding in regional context - Explains why this research matters (gap in empirical work) - Sets up your study as a response to a specific need - Doesn’t require exact citations if you’re still searching for sources—can be softened with “Recent work” or “Evidence” without full citations, then updated in revision once you find specific studies


SECTION 2: METHODS — Data Analysis Subsection

Replace Lines 155-158: Analytical Framework Clarity

CURRENT TEXT to replace:

Inductive thematic analysis was used, which was well-suited to the study, as the researchers 
did not intend to focus on any prior theoretical frameworks but rather to allow themes to 
emerge naturally from the collected data. Following transcription of the data, the analysis team read 
the transcripts to familiarize themselves with the data that had been collected...

REPLACE WITH:

We adopted a hybrid deductive–inductive (abductive) thematic analysis approach, iterating 
between a priori sensitizing constructs and themes emerging from participant accounts. We applied 
the six-step process of thematic analysis outlined by Braun and Clarke (24), including: (1) data 
familiarization, (2) code generation, (3) integration of codes into themes, (4) revising themes, 
(5) determining the importance of the themes, and (6) reporting the results. 

Initial codes were informed by the a priori resilience capacities described in the literature 
(Kruk et al.'s absorptive, adaptive, and transformative capacities; WHO's resilience functions) 
and the health system building blocks, but coders remained responsive to novel patterns and codes 
that emerged from the data. This allowed us to test whether Uganda's national-level stakeholders' 
conceptualization of resilience aligned with or diverged from established frameworks. 

Following transcription of the data, the analysis team read the transcripts to familiarize 
themselves with the data that had been collected. From each transcript, codes—pieces of relevant 
information—were extracted based on the research questions (definition and attributes of resilience)...

RATIONALE: - Replaces the false claim that you “did not intend to focus on prior theoretical frameworks” (you did) - Clarifies that a priori constructs were starting points, not constraints - Preserves the actual iterative nature of your analysis - Aligns with lines 142-148


SECTION 3: METHODS — NEW SUBSECTION

Add: “Sources of Potential Bias and Mitigation Strategies”

LOCATION: After the paragraph describing interview guides and methodology (after the sentence “…which were administered to participants by the first author…”), insert a new subsection with this heading and content:

INSERT THIS NEW SUBSECTION:

Sources of Potential Bias and Mitigation Strategies

This study faces several potential sources of bias that warrant explicit discussion. Social desirability 
bias represents a significant risk: participants, predominantly senior government and development partner 
officials, may have been reluctant to articulate critical assessments of Uganda's health system or their 
own institutions, instead offering retrospectively constructed narratives of success or justified reactive 
approaches. Additionally, several participants had prior professional relationships with the research team, 
particularly the first author (DO), who has engaged in health systems work in Uganda for extended periods. 
This familiarity may have influenced the depth and candor of participants' responses: respondents may have 
avoided sensitive critiques or emphasized particular achievements known to align with the research team's 
or their institution's interests.

Gender representation also requires acknowledgment. The sample is predominantly male (13 of 15, 87%), 
reflecting broader underrepresentation of women in Uganda's senior health system leadership positions. This 
imbalance may shape the findings in several ways. First, male-dominated perspectives on resilience may 
prioritize certain capacities (e.g., emergency workforce mobilization, technical preparedness, data systems) 
over capacities that women in health systems often emphasize (e.g., community health worker support systems, 
informal networks, continuity of care work during crises). Second, the predominantly male leadership 
perspective does not capture the views of female health workers, community mobilizers, or women-led 
organizations, who may conceptualize resilience differently based on their frontline experiences. Future 
studies should intentionally oversample women in leadership positions and include frontline female health 
workers to understand whether and how gender shapes resilience conceptualization and operationalization.

To mitigate these biases, several strategies were employed. First, we deliberately included respondents from 
diverse organizations (Ministry of Health, academia, WHO, CDC, implementing partners) to surface divergent 
perspectives and reduce institutional consensus bias; indeed, notable tensions did emerge in the data (e.g., 
between Ministry of Health narratives of "successful withstanding" of crises and partner observations of 
healthcare worker burnout and demoralization). Second, interview guides used open-ended prompts ("Describe 
what happened..."; "What does resilience mean to you...") rather than leading questions, and the interviewing 
team included two research assistants per interview—one guiding and one recording notes independently—to create 
a check on interviewer-driven framing. Third, member checking was conducted at the transcript level (11 of 15 
participants reviewed and endorsed their transcripts), allowing respondents to flag misrepresentations or 
context that had been missed. However, despite these steps, we acknowledge that the study reflects perspectives 
from national-level elites; frontline workers, subnational managers, and communities may hold markedly different 
views of resilience and system strengths. Moreover, subnational power dynamics, institutional pressures, and 
the formality of the study setting may have constrained the expression of critical viewpoints even among 
diverse national stakeholders.

RATIONALE: - Explicitly acknowledges all three concerns (social desirability, gender, elite perspective) - Shows awareness of your own positionality and limitations - Demonstrates steps taken to mitigate (not eliminate) bias - Honestly notes residual limitations - Evidence of transparency strengthens the manuscript


SECTION 4: RESULTS — Analytical Strategy Introduction

SECTION 5: RESULTS — Governance and Leadership Subsection

Example Edit: Separate Aspirational from Observed

CURRENT TEXT:

Governance and leadership encompassed strategic guidance, financing, coordination, contingency planning, 
and policy frameworks:

"During the COVID-19 pandemic, we had a contingency fund… For a health system to be resilient, it needs 
to plan and recognize that these types of shocks may occur" (KI02, Academia, Senior Academic).

"The leadership and governance have a role to ensure that there are policies, guidelines, and adequate 
funding to make the system resilient" (KI13, Implementing Partner, Global health Security Lead).

These responses were not necessarily endorsements of the state of the Ugandan health system, but rather a 
call for more institutional foresight, away from the reactive funding that is often see during response. 
Decentralization, as a function of governance and leadership, was also framed as a resilience builder but 
a constrained feature:

[continues...]

REVISE TO:

WHAT PARTICIPANTS SAID GOVERNANCE SHOULD DO:

Participants described governance and leadership as foundational resilience functions encompassing 
strategic guidance, financing, coordination, contingency planning, and anticipatory policy frameworks:

"During the COVID-19 pandemic, we had a contingency fund… For a health system to be resilient, it needs 
to plan and recognize that these types of shocks may occur" (KI02, Academia, Senior Academic).

"The leadership and governance have a role to ensure that there are policies, guidelines, and adequate 
funding to make the system resilient" (KI13, Implementing Partner, Global health Security Lead).

These aspirational statements reflected participants' sense that governance *should* be forward-looking, 
but also revealed their perception that current governance is reactive rather than anticipatory—a gap 
between what resilience requires and what exists in practice.

CURRENT STATE OF GOVERNANCE IN UGANDA:

Decentralization is framed in policy as a resilience-building feature, but participants noted significant 
fiscal and operational constraints that limit its effectiveness:

"…decentralizing health in sub-regions is one of the features of our system. It can make us more resilient" 
(KI12, Ministry of Health, Technical Lead).

However, as we note above, this alignment with policy is undermined by fiscal difficulties that subnational 
structures face in independent decision-making. One participant captured the paradox of institutionalized 
forgetting:

"Then after the crisis is gone, everybody forgets. I think we need to focus on sustaining the learnings" 
(KI13, Academia, Senior Lecturer).

This account points not to weak governance alone, but to the absence of formal institutional mechanisms 
(after-action reviews tied to policy revision, structured documentation systems, budget protections for 
learning investments) that would convert crisis experience into governance reform. Resilience is built 
through institutional memory, yet Uganda's governance structures have not yet created the infrastructure 
to sustain it.

KEY CHANGES: - Added bold section headers (“WHAT PARTICIPANTS SAID…” vs. “CURRENT STATE…”) to distinguish aspirational from empirical - Clarified that the quotes reflect what should be, not current reality - Explicitly named the gap between policy and practice - Grounded the analysis in Uganda’s observable constraints


SECTION 6: RESULTS — Proposed Contextualized Definition

Revise: Clarify Introduction & Position

CURRENT TEXT LOCATION: Before the definition itself (the paragraph currently says “Synthesizing across the five capacities, we propose…”)

REVISE THE INTRODUCTION TO:

On the basis of the five capacities (preparedness, absorptive, adaptive, transformative, recovery) 
and seven attributes that emerged from participant accounts, and informed by the iterative application 
of abductive thematic analysis, we synthesize the following definition of health system resilience 
contextualized to Uganda:

FOLLOWED BY: [Your existing definition unchanged]

Then ADD this new paragraph after the definition:

This definition reflects the participants' emphasis on multiple resilience capacities (reflecting 
the five themes above) while highlighting the Uganda-specific tensions that emerged repeatedly in the 
data: the gap between anticipatory policy and reactive funding; the need for transformative capacity 
but the system's orientation toward recovery; and the critical role of institutional learning mechanisms 
that currently remain underdeveloped. The definition is not prescriptive in the abstract sense, but rather 
descriptive of what resilience would require *given Uganda's current constraints and system strengths*.

RATIONALE: - Clarifies that the definition is team-synthesized, grounded in data - Explains why this particular definition matters (it names Uganda-specific gaps) - Reduces confusion between aspirational and empirical


SECTION 7: DISCUSSION — Strengths and Limitations

Expand: Validation Limitation

CURRENT TEXT:

However, the relatively small sample size, and the short study timeframe may limit generalizability 
and overlook changing dynamics. Another weakness that we point out is that our proposed definition 
of a resilient health system was not validated with participants. These strengths and limitations 
together highlight the study's contribution to understanding resilience within context, while emphasizing 
the need for future research that includes broader stakeholder perspectives and longitudinal methods.

REPLACE WITH:

However, the relatively small sample size, and the short study timeframe may limit generalizability 
and overlook changing dynamics. 

A significant limitation is that the proposed contextualized definition was constructed by the research 
team through synthesis of the five capacities and seven attributes identified across interviews, but was 
not validated back to participants or tested against broader health system data. This represents an important 
boundary to our contribution. First, the definition reflects research team interpretation of what participants 
said about resilience, not an explicitly endorsed participant consensus. Presenting the proposed definition 
to participants for feedback might have prompted revision, refinement, or disagreement—particularly from 
those in subnational structures (e.g., district health officers) or implementation roles (e.g., health facility 
managers) whose perspectives are underrepresented in this national-level sample. Second, the definition has 
not been validated against quantitative system-level indicators or longitudinal health system data (e.g., 
performance metrics, outbreak detection timelines, financial records, workforce data). This means we cannot 
assess whether the proposed definition's attributes are operationally discriminant—i.e., whether variation 
in these attributes correlates with actual differences in health system resilience in practice. A definition 
may be conceptually coherent and locally grounded without being predictive of system performance.

To address these limitations and extend this work, we recommend three future research directions. First, 
conduct a second-phase validation study in which the proposed definition and attributes are presented to 
the original participants and to additional stakeholders (subnational health managers, health facility 
leadership, community health workers, community members) for feedback, refinement, and consensus-building. 
Second, conduct qualitative implementation research to examine whether and how these seven attributes 
manifest in practice across different health facilities, community settings, and governance levels in 
Uganda, using methods such as observational data collection and document review. Third, undertake exploratory 
quantitative analysis to assess whether variation in these attributes (measured through surveys or health 
system performance data) correlates with variation in resilience outcomes during health emergencies (e.g., 
outbreak detection time, case fatality rates, service continuity metrics, workforce stability).

These strengths and limitations together highlight the study's contribution to understanding health system 
resilience conceptualization within Uganda's specific context, while emphasizing the need for future research 
that includes broader stakeholder perspectives (particularly subnational and frontline), validation of the 
proposed definition, and longitudinal methods to test the predictive validity of the proposed attributes.

RATIONALE: - Moves from generic acknowledgment to specific implications - Explains why each limitation matters for validity - Provides concrete, actionable next steps that are feasible - Positions the current study as a foundation, not a final answer


SECTION 8: DISCUSSION — Definition Alignment

LOCATION: In the Discussion section, find the paragraph beginning “Our suggested constructed definition…”

CURRENT TEXT:

Our suggested constructed definition of a resilient health system: "A resilient health system is one 
that can absorb shocks, sustain core functions during crises, recover effectively to pre-crisis performance, 
and adapt to evolving needs" aligns with widely acknowledged definitions of health system resilience (8,12,16).

REVISE TO:

Our proposed contextualized definition—"A resilient system in Uganda is one that anticipates and prepares 
for infectious disease shocks; absorbs them while sustaining essential services; adapts through innovation 
and operational adjustment; recovers core functioning; and institutionalizes learning to transform structures, 
financing, and service delivery models in preparation for future shocks"—shares core elements with widely 
acknowledged definitions of health system resilience (8,12,16) while emphasizing Uganda-specific mechanisms 
and tensions.

THEN INSERT a new sentence after:

Specifically, whereas generic definitions of resilience often separate recovery from transformation as 
discrete capacities, our definition integrates them, reflecting participants' insight that recovery without 
learning and institutional change perpetuates vulnerability—a tension that emerged repeatedly in accounts 
of Uganda's post-Ebola and post-COVID-19 experiences where "everybody forgets."

RATIONALE: - Establishes Definition #1 (from Results) as the official proposed definition - Shows how your definition adds to the literature (Uganda-specific learning emphasis) - Removes confusion from Definition #2


SECTION 9: ABSTRACT — Results Summary

Revise: Include Proposed Definition

LOCATION: The Results sentence in the Abstract

CURRENT TEXT:

Results: Participants conceptualized resilience along five capacities: preparedness, absorptive, 
adaptive, transformative, and recovery. Recovery dominated narratives, while transformative capacity 
was least articulated, indicating a system oriented toward "bouncing back" rather than reform. Seven 
interconnected attributes were identified: (1) governance and leadership, (2) preparedness, (3) service 
delivery, (4) community involvement, (5) adaptability, (6) collaboration and partnerships, and (7) soft 
skills. Governance and leadership emerged as foundational; preparedness, service delivery, community 
involvement, adaptability, and collaboration as structural; and soft skills (trust, communication, cultural 
sensitivity) as relational enablers.

REVISE TO:

Results: Participants conceptualized resilience along five capacities: preparedness, absorptive, 
adaptive, transformative, and recovery. Recovery dominated narratives, while transformative capacity 
was least articulated, indicating a system oriented toward "bouncing back" rather than reform. We propose 
a contextualized definition: A resilient system in Uganda is one that anticipates and prepares for 
infectious disease shocks; absorbs them while sustaining essential services; adapts through innovation 
and operational adjustment; recovers core functioning; and institutionalizes learning to transform 
structures, financing, and service delivery models in preparation for future shocks. Seven interconnected 
attributes enable this resilience: (1) governance and leadership, (2) preparedness, (3) service delivery, 
(4) community involvement, (5) adaptability, (6) collaboration and partnerships, and (7) soft skills. 
Governance and leadership emerged as foundational; preparedness, service delivery, community involvement, 
adaptability, and collaboration as structural; and soft skills (trust, communication, cultural sensitivity) 
as relational enablers.

RATIONALE: - Makes the proposed definition visible in the Abstract - Ensures consistency: the definition is stated early, prominently, and identically throughout


QUICK REFERENCE: Line-by-Line Edit Checklist

Use this to track your edits:

Total additions: ~5–6 pages of new/revised content


BEFORE YOU SUBMIT

  1. Read through the entire revised manuscript to ensure the narrative flows and the distinction between aspirational and observed is clear
  2. Search for SSA/East African empirical studies to cite in the Introduction (even if just 2–3 solid references)
  3. Verify all line numbers match the final version of your manuscript
  4. Ensure Definition #1 appears identically in Results, Abstract, and Discussion sections
  5. Check that “abductive” language appears consistently (not “inductive”) throughout
  6. Have a colleague read the bias mitigation section to ensure it reads as transparent rather than defensive

COMMON QUESTIONS

Q: Should I remove the second (shorter) definition entirely?
A: No. Reframe it in the Discussion as a comparison to WHO’s universal definition. This shows how your contextualized definition both aligns with and extends existing frameworks.

Q: How much of the normative/aspirational language should I change?
A: You don’t need to remove it—just label it clearly. The header approach (e.g., “WHAT PARTICIPANTS SAID…” vs. “CURRENT STATE…”) makes the distinction without rewriting large sections.

Q: Should I add the exact citations for SSA/East African studies immediately?
A: If you’re still searching: use softer language (“Recent work in East Africa has shown…” or “Emerging evidence suggests…”) in the Introduction, then add specific citations in the revision once you’ve identified sources.

Q: The validation limitation expansion is long—is that OK?
A: Yes. This is a significant boundary to your work, and transparent discussion of it (including implications and next steps) strengthens your manuscript. Better to be explicit than have reviewers point it out again.