Health Consequences of an Armed Conflict in Zamboanga, Philippines Using a Syndromic Surveillance Database

Syndromic Surveillance Implementation During Disaster Events

INTRODUCTION

Disease surveillance is an integral part of public health. These systems monitor disease trends and detect outbreaks, whereas they should be evaluated for efficacy. The United States Centres for Disease Control and Prevention publish Guidelines for Evaluating Surveillance Systems to encourage efficient and effective use of public health surveillance that are accepted worldwide.

OBJECTIVE

This study reviews syndromic surveillance during natural and man-made disasters internationally. It aims to (1) review the performance of syndromic surveillance via pre-specified attributes during disaster and to (2) understand its strengths and limitations.

METHODS

PubMed was systematically searched for the articles assessing syndromic surveillance during a disaster. A narrative review was carried out based on those articles. Updated Guidelines for Evaluating Public Health Surveillance Systems were used to review performance of systems.

RESULTS

5,059 studies from PubMed were evaluated, and 16 met inclusion criteria. The majority of these studies considered the implementation of syndromic surveillance useable during disaster events. Studies described systems giving relevant and timely information. Simplicity and timeliness were the most highlighted attributes.

CONCLUSION

Syndromic surveillance is simple, flexible, useful and usable during a disaster. Timely data can be obtained, but the quality of this type of data is sensitive to incomplete and erroneous reporting; because of this, a standardized approach is necessary to optimize these systems.

The health consequences of civil wars: evidence from Afghanistan

This study examines the effects of long-run civil wars on healthcare, which is an important component of human capital development and their causality nexus in Afghanistan using the MVAR (modified vector autoregressive) approach and the Granger non-causality model covering data period 2002Q3-2020Q4. The primary results support a significant long-run relationship between variables, while the results of the MVAR model indicate the per capita cost of war, per capita GDP, and age dependency ratio have significantly positive impacts on per capita health expenditures, whereas child mortality rate and crude death rate have negative impacts. The results of the Granger non-causality approach demonstrate that there is a statistically significant bidirectional causality nexus between per capita health expenditure, per capita cost of war, per capita GDP, child mortality rate, crude death rate, and age dependency ratio, while it also supports the existence of strong and significant interconnectivity and multidimensionality between per capita cost of war and per capita health expenditure, with a significantly strong feedback response from the control variables. Important policy implications sourced from the key findings are also discussed.

Models of care for patients with hypertension and diabetes in humanitarian crises: a systematic review

Care for non-communicable diseases, including hypertension and diabetes (HTN/DM), is recognized as a growing challenge in humanitarian crises, particularly in low- and middle-income countries (LMICs) where most crises occur. There is little evidence to support humanitarian actors and governments in designing efficient, effective, and context-adapted models of care for HTN/DM in such settings. This article aimed to systematically review the evidence on models of care targeting people with HTN/DM affected by humanitarian crises in LMICs. A search of the MEDLINE, Embase, Global Health, Global Indexus Medicus, Web of Science, and EconLit bibliographic databases and grey literature sources was performed. Studies were selected that described models of care for HTN/DM in humanitarian crises in LMICs. We descriptively analysed and compared models of care using a conceptual framework and evaluated study quality using the Mixed Methods Appraisal Tool. We report our findings according to PRISMA guidelines. The search yielded 10 645 citations, of which 45 were eligible for this review. Quantitative methods were most commonly used (n = 34), with four qualitative, three mixed methods, and four descriptive reviews of specific care models were also included. Most studies detailed primary care facility-based services for HTN/DM, focusing on health system inputs. More limited references were made to community-based services. Health care workforce and treatment protocols were commonly described framework components, whereas few studies described patient centredness, quality of care, financing and governance, broader health policy, and sociocultural contexts. There were few programme evaluations or effectiveness studies, and only one study reported costs. Most studies were of low quality. We concluded that an increasing body of literature describing models of care for patients with HTN/DM in humanitarian crises demonstrated the development of context-adapted services but showed little evidence of impact. Our conceptual framework could be used for further research and development of NCD models of care.

Health in conflict and post-conflict settings: reproductive, maternal and child health in Colombia

BACKGROUND

In conflict-afflicted areas, pregnant women and newborns often have higher rates of adverse health outcomes.

OBJECTIVE

To describe maternal and child health indicators and interventions between 1998 and 2016 comparing high and low conflict areas in Colombia.

METHODS

Mixed study of convergent triangulation. In the quantitative component, 16 indicators were calculated using official, secondary data sources. The victimization rate resulting from armed conflict was calculated by municipality and grouped into quintiles. In the qualitative component, a comparative case study was carried out in two municipalities of Antioquia: one with high rates of armed conflict and another with low rates. A total of 41 interviews and 8 focus groups were held with local and national government officials, health professionals, community informants, UN agencies and NGOs.

RESULTS

All of the indicators show improvement, however, four show statistically significant differences between municipalities with high victimization rates versus low ones. The maternal mortality ratio was higher in the municipalities with greater victimization in the periods 1998-2004, 2005-2011 and 2012-2016. The percentage of cesarean births and women who received four or more antenatal visits was lower among women who experienced the highest levels of victimization for the period 1998-2000, while the fertility rate for women between 15 and 19 years was higher in these municipalities between 2012 and 2016. In the context of the armed conflict in Colombia, maternal and child health was affected by the limited availability of interventions given the lack of human resources in health, supplies, geographical access difficulties and insecurity. The national government was the one that mostly provided the programs, with difficulties in continuity and quality. UN Agencies and NGOs accessed more easily remote and intense armed conflict areas. Few specific health interventions were identified in the post-conflict context.

CONCLUSIONS

In Colombia, maternal and child health indicators have improved since the conflict, however a pattern of inequality is observed in the municipalities most affected by the armed conflict.

Lessons from humanitarian clusters to strengthen health system responses to mass displacement in low and middle-income countries: A scoping review

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Potential scope for health-system learning from cluster responses to mass displacement.

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Non-health clusters can contribute to health improvements during mass displacement.

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Cluster approaches are often siloed with insufficient cross-cluster learning.

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Equitable power dynamics between displaced people, humanitarian actors, and governments are still needed.

The humanitarian cluster approach was established in 2005 but clarity on how lessons from humanitarian clusters can inform and strengthen health system responses to mass displacement in low and middle-income countries (LMIC) is lacking. We conducted a scoping review to examine the extent and nature of existing research and identify relevant lessons.

We used Arksey and O'Malley's scoping framework with Levac's 2010 revisions and Khalil's 2016 refinements, focussing on identifying lessons from discrete humanitarian clusters that could strengthen health system responses to mass population displacement. We summarised thematically by cluster.

Of 186 sources included, 56% were peer-reviewed research articles. Most related to health (37%), protection (18%), or nutrition (13%) clusters. Key lessons for health system responses included the necessity of empowering women; ensuring communities are engaged in decision-making processes (e.g. planning and construction of camps and housing) to strengthen trust and bonds between and within communities; and involving potential end-users in technological innovations development (e.g. geographical information systems) to ensure relevance and applicability.

Our review provided evidence that non-health clusters can contribute to improving health outcomes using focussed interventions for implementation by government or humanitarian partners to inform LMIC health system responses to mass displacement.