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Abstract
Background
Much applied research on the consequences of conflicts for health suffers from data limitations, particularly the absence of longitudinal data spanning pre-, during- and post-conflict periods for affected individuals. Such limitations often hinder reliable measurement of the causal effects of conflict and their pathways, hampering also the design of effective post-conflict health policies. Researchers have sought to overcome these data limitations by conducting ex-post surveys, asking participants to recall their health and living standards before (or during) conflict. These questions may introduce important analytical biases due to recall error and misreporting.

Methods
We investigate how to implement ex-post health surveys that collect recall data, for conflict-affected populations, which is reliable for empirical analysis via standard quantitative methods. We propose two complementary strategies based on methods developed in the psychology and psychometric literatures—the Flashbulb and test-retest approaches—to identify and address recall bias in ex-post health survey data. We apply these strategies to the case study of a large-scale health survey which we implemented in Colombia in the post-peace agreement period, but that included recall questions referring to the conflict period.

Results
We demonstrate how adapted versions of the Flashbulb and test-retest strategies can be used to test for recall bias in (post-)conflict survey responses. We also show how these test strategies can be incorporated into post-conflict health surveys in their design phase, accompanied by further ex-ante mitigation strategies for recall bias, to increase the reliability of survey data analysis—including by identifying the survey modules, and sub-populations, for which empirical analysis is likely to yield more reliable causal inference about the health consequences of conflict.

Conclusions
Our study makes a novel contribution to the field of applied health research in humanitarian settings, by providing practical methodological guidance for the implementation of data collection efforts in humanitarian contexts where recall information, collected from primary surveys, is required to allow assessments of changes in health and wellbeing. Key lessons include the importance of embedding appropriate strategies to test and address recall bias into the design of any relevant data collection tools in post-conflict or humanitarian contexts.

Abstract
Introduction
In Colombia, research on health and conflict has focused on mental health, psychosocial care, displacement, morbidity, and mortality. Few scientific studies have assessed health system functioning during armed conflicts. In a new period characterized by the implementation of the peace agreement with the Revolutionary Armed Forces of Colombia (FARC) armed group, understanding the effects of armed conflict on the health system, the functions, and institutions shaped by the conflict is an opportunity to understand the pathways and scope of post-conflict health policy reforms. Therefore, this study was conducted to assess the effects of armed conflict on the health system, response, and mechanisms developed to protect medical missions during armed conflict in Colombia.

Methods
This research was conducted using a qualitative approach with semi-structured interviews and focus group discussions. The qualitative guide collected information in four sections: (1) conflict and health system, effects and barriers in health service provision, (2) actions and coordination to cope with those barriers, (3) health policies and armed conflict, and (4) post-accord and current situation. Twenty-two people participated in the interviews, including eight policymakers at the national level and seven at the local level, including two NGOs and five members of international organizations. An academic project event in December 2019 and four focus groups were developed (World Cafe technique) to discuss with national and local stakeholders the effects of armed conflict on the health system and an analytical framework to analyze its consequences.

Results
The conflict affected the health-seeking behavior of the population, limited access to healthcare provision, and affected health professionals, and was associated with inadequate medical supplies in conflict areas. The health system implemented mechanisms to protect the medical mission, regulate healthcare provision in conflict areas, and commit to healthcare provision (mental and physical health services) for the population displaced by conflict.

Conclusion
The state's presence, trust, and legitimacy have significantly reduced in recent years. However, it is crucial to restore them by ensuring that state and health services are physically present in all territories, including remote and rural areas.