Ayaga A. Bawah

Setting international standards for verbal autopsy

In many countries most deaths occur at home. Such countries often have civil registration systems that are limited or non-existent and therefore most deaths go unrecorded. Countries that cannot record the number of people who die or why they die cannot realize the full potential of their health systems. Health systems need reliable numbers and causes of death to function properly. But in these circumstances – in the absence of a complete picture of the population’s health – there are tools and techniques that can be used to obtain a fairly accurate representation of mortality trends. It takes a long time for countries to achieve a fully functioning civil registration system with medical certification of cause of death. In the meantime, more and more countries are using verbal autopsies (VA) to meet the information needs of their health systems.1 Verbal autopsy is a method of ascertaining probable causes of a death based on an interview with primary caregivers about the signs, symptoms and circumstances preceding that death. Different institutions have been researching and developing all aspects of the verbal autopsy process over the past two decades. We have also been working on this process, particularly to improve the questionnaire and the methods of analysing the resulting information. However, this has been a largely uncoordinated effort and one that has not reached consensus on what to cover in the interview and how to analyse the results, despite previous attempts to promote standard tools.2–4 The main consequence of this failure to agree on a standard approach is that now we cannot compare results from different countries. Currently, 36 Demographic Surveillance Sites (DSS) in 20 countries, the Sample Registration System (SRS) sites in India, and the Disease Surveillance Points (DSP) in China regularly use VA on a large scale, primarily to assess the causes-of-death structure of a defined population.1 Despite such a widespread use of verbal autopsy, we are unable to assess how consistent and reliable the data are. We are also unable to replicate procedures used to assign cause of death. Because verbal autopsy data sets are not widely shared, it is impossible to independently assess the quality of the assignment. Really useful validation studies are rare and verbal autopsy research is often done on small and non-representative samples of the population. The Millennium Development Goals (MDG) have put pressure on countries to track their progress in terms of population health. But to track that progress, countries need reliable numbers. In other words, they need a strong empirical basis for cause-specific mortality data. This is essential for evaluating the impact of disease control programmes and major global health initiatives. One way of dealing with incomplete information is to use models of mortality patterns. But cause-of-death information predicted by such models is not suitable for monitoring progress on what works and what does not.5 That leaves verbal autopsy as the only practical option in these countries and one that will play a key role in tracking progress towards the MDGs. Agreement on a core set of verbal autopsy tools (including technical standards and guidelines for their use) and their widespread adoption is needed now. To tackle this challenge, WHO led an expert group of researchers, data users, and other stakeholders, with sponsorship from the Health Metrics Network (HMN), in developing the necessary standards. The expert group systematically reviewed, debated, and condensed the accumulated experience and evidence from the most widely-used and validated procedures. This synthesis was done to achieve a high degree of consistency and comparability across verbal autopsy data sets. WHO has now published the results of this collaboration as: Verbal autopsy standards: ascertaining and attributing cause of death. The new standards include: Verbal autopsy questionnaires for three age groups (under four weeks; four weeks to 14 years; and 15 years and above); Cause-of-death certification and coding resources consistent with the International Classification of Diseases and Related health Problems, tenth revision (ICD-10); and A cause-of-death list for verbal autopsy prepared according to the ICD-10. The content is freely available on the WHO web site (www.who.int) and will be distributed in print; and incorporated into HMN’s resource kit. This is an important publication, but it is not the last word on verbal autopsy methods. Research is needed to validate these standard core procedures in several countries with different patterns of mortality. Other areas of research include further development of items included in questionnaires, and automated methods for assigning causes of death from verbal autopsy that remove human bias, while producing replicable and valid results.6 Operational issues need addressing: sampling methods and size when using verbal autopsy tools in research demographic surveillance sites; sample or sentinel registration; censuses; and household surveys. Research is also required when adapting these questionnaires to specific situations in different countries, taking into account relevant cultural, epidemiological and administrative considerations. WHO is working with partners to do this research and develop guidelines on these issues. With time, this guidance and experience will better inform the users of verbal autopsy, and improve the comparability and consistency of its results. For the present, we urge that these new international consensus standards become the foundation of verbal autopsy practices wherever possible. ■

Ageing and adult health status in eight lower-income countries : the INDEPTH WHO-SAGE collaboration

Background: Globally, ageing impacts all countries, with a majority of older persons residing in lower- and middle-income countries now and into the future. An understanding of the health and well-being of these ageing populations is important for policy and planning; however, research on ageing and adult health that informs policy predominantly comes from higher-income countries. A collaboration between the WHO Study on global AGEing and adult health (SAGE) and International Network for the Demographic Evaluation of Populations and Their Health in developing countries (INDEPTH), with support from the US National Institute on Aging (NIA) and the Swedish Council for Working Life and Social Research (FAS), has resulted in valuable health, disability and well-being information through a first wave of data collection in 2006–2007 from field sites in South Africa, Tanzania, Kenya, Ghana, Viet Nam, Bangladesh, Indonesia and India. Objective: To provide an overview of the demographic and health characteristics of participating countries, describe the research collaboration and introduce the first dataset and outputs. Methods: Data from two SAGE survey modules implemented in eight Health and Demographic Surveillance Systems (HDSS) were merged with core HDSS data to produce a summary dataset for the site-specific and cross-site analyses described in this supplement. Each participating HDSS site used standardised training materials and survey instruments. Face-to-face interviews were conducted. Ethical clearance was obtained from WHO and the local ethical authority for each participating HDSS site. Results: People aged 50 years and over in the eight participating countries represent over 15% of the current global older population, and is projected to reach 23% by 2030. The Asian HDSS sites have a larger proportion of burden of disease from non-communicable diseases and injuries relative to their African counterparts. A pooled sample of over 46,000 persons aged 50 and over from these eight HDSS sites was produced. The SAGE modules resulted in self-reported health, health status, functioning (from the WHO Disability Assessment Scale (WHODAS-II)) and well-being (from the WHO Quality of Life instrument (WHOQoL) variables). The HDSS databases contributed age, sex, marital status, education, socio-economic status and household size variables. Conclusion: The INDEPTH WHO–SAGE collaboration demonstrates the value and future possibilities for this type of research in informing policy and planning for a number of countries. This INDEPTH WHO–SAGE dataset will be placed in the public domain together with this open-access supplement and will be available through the GHA website (www.globalhealthaction.net) and other repositories. An improved dataset is being developed containing supplementary HDSS variables and vignette-adjusted health variables. This living collaboration is now preparing for a next wave of data collection. Access the supplementary material to this article: INDEPTH WHO-SAGE questionnaire (including variants of vignettes), a data dictionary and a password-protected dataset (see Supplementary files under Reading Tools online). To obtain a password for the dataset, please send a request with ‘SAGE data’ as its subject, detailing how you propose to use the data, to global.health@epiph.umu.se

Accelerating reproductive and child health programme impact with community-based services: the Navrongo experiment in Ghana

OBJECTIVE To determine the demographic and health impact of deploying health service nurses and volunteers to village locations with a view to scaling up results. METHODS A four-celled plausibility trial was used for testing the impact of aligning community health services with the traditional social institutions that organize village life. Data from the Navrongo Demographic Surveillance System that tracks fertility and mortality events over time were used to estimate impact on fertility and mortality. RESULTS Assigning nurses to community locations reduced childhood mortality rates by over half in 3 years and accelerated the time taken for attainment of the child survival Millennium Development Goal (MDG) in the study areas to 8 years. Fertility was also reduced by 15%, representing a decline of one birth in the total fertility rate. Programme costs added 1.92 US Dollar per capita to the 6.80 US Dollar per capita primary health care budget. CONCLUSION Assigning nurses to community locations where they provide basic curative and preventive care substantially reduces childhood mortality and accelerates progress towards attainment of the child survival MDG. Approaches using community volunteers, however, have no impact on mortality. The results also demonstrate that increasing access to contraceptive supplies alone fails to address the social costs of fertility regulation. Effective deployment of volunteers and community mobilization strategies offsets the social constraints on the adoption of contraception. The research in Navrongo thus demonstrates that affordable and sustainable means of combining nurse services with volunteer action can accelerate attainment of both the International Conference on Population and Development agenda and the MDGs.

The Ghana essential health interventions program: a plausibility trial of the impact of health systems strengthening on maternal & child survival

BackgroundDuring the 1990s, researchers at the Navrongo Health Research Centre in northern Ghana developed a highly successful community health program. The keystone of the Navrongo approach was the deployment of nurses termed community health officers to village locations. A trial showed that, compared to areas relying on existing services alone, the approach reduced child mortality by half, maternal mortality by 40%, and fertility by nearly a birth — from a total fertility rate of 5.5 in only five years. In 2000, the government of Ghana launched a national program called Community-based Health Planning and Services (CHPS) to scale up the Navrongo model. However, CHPS scale-up has been slow in districts located outside of the Upper East Region, where the “Navrongo Experiment” was first carried out. This paper describes the Ghana Essential Health Intervention Project (GEHIP), a plausibility trial of strategies for strengthening CHPS, especially in the areas of maternal and newborn health, and generating the political will to scale up the program with strategies that are faithful to the original design.Description of the interventionGEHIP improves the CHPS model by 1) extending the range and quality of services for newborns; 2) training community volunteers to conduct the World Health Organization service regimen known as integrated management of childhood illness (IMCI); 3) simplifying the collection of health management information and ensuring its use for decision making; 4) enabling community health nurses to manage emergencies, particularly obstetric complications and refer cases without delay; 5) adding

Rapid achievement of the child survival millennium development goal : evidence from the navrongo experiment in Northern Ghana

0.85 per capita annually to district budgets and marshalling grassroots political commitment to financing CHPS implementation; and 6) strengthening CHPS leadership at all levels of the system.Evaluation designGEHIP impact is assessed by conducting baseline and endline survey research and computing the Heckman “difference in difference” test for under-5 mortality in three intervention districts relative to four comparison districts for core indicators of health status and survival rates. To elucidate results, hierarchical child survival hazard models will be estimated that incorporate measures of health system strength as survival determinants, adjusting for the potentially confounding effects of parental and household characteristics. Qualitative systems appraisal procedures will be used to monitor and explain GEHIP implementation innovations, constraints, and progress.DiscussionBy demonstrating practical means of strengthening a real-world health system while monitoring costs and assessing maternal and child survival impact, GEHIP is expected to contribute to national health policy, planning, and resource allocation that will be needed to accelerate progress with the Millennium Development Goals.

Health inequalities among older men and women in Africa and Asia: evidence from eight Health and Demographic Surveillance System sites in the INDEPTH WHO-SAGE Study

Objective  To determine the impact of deploying nurses and volunteers to village locations on demographic and health outcomes.

Approaches to ensuring and improving quality in the context of health system strengthening: a cross-site analysis of the five African Health Initiative Partnership programs

Background: Declining rates of fertility and mortality are driving demographic transition in all regions of the world, leading to global population ageing and consequently changing patterns of global morbidity and mortality. Understanding sex-related health differences, recognising groups at risk of poor health and identifying determinants of poor health are therefore very important for both improving health trajectories and planning for the health needs of ageing populations. Objectives: To determine the extent to which demographic and socio-economic factors impact upon measures of health in older populations in Africa and Asia; to examine sex differences in health and further explain how these differences can be attributed to demographic and socio-economic determinants. Methods : A total of 46,269 individuals aged 50 years and over in eight Health and Demographic Surveillance System (HDSS) sites within the INDEPTH Network were studied during 2006–2007 using an abbreviated version of the WHO Study on global AGEing and adult health (SAGE) Wave I instrument. The survey data were then linked to longitudinal HDSS background information. A health score was calculated based on self-reported health derived from eight health domains. Multivariable regression and post-regression decomposition provide ways of measuring and explaining the health score gap between men and women. Results: Older men have better self-reported health than older women. Differences in household socio-economic levels, age, education levels, marital status and living arrangements explained from about 82% and 71% of the gaps in health score observed between men and women in South Africa and Kenya, respectively, to almost nothing in Bangladesh. Different health domains contributed differently to the overall health scores for men and women in each country. Conclusion: This study confirmed the existence of sex differences in self-reported health in low- and middle-income countries even after adjustments for differences in demographic and socio-economic factors. A decomposition analysis suggested that sex differences in health differed across the HDSS sites, with the greatest level of inequality found in Bangladesh. The analysis showed considerable variation in how differences in socio-demographic and economic characteristics explained the gaps in self-reported health observed between older men and women in African and Asian settings. The overall health score was a robust indicator of health, with two domains, pain and sleep/energy, contributing consistently across the HDSS sites. Further studies are warranted to understand other significant individual and contextual determinants to which these sex differences in health can be attributed. This will lay a foundation for a more evidence-based approach to resource allocation, and to developing health promotion programmes for older men and women in these settings. Access the supplementary material to this article: INDEPTH WHO-SAGE questionnaire (including variants of vignettes), a data dictionary and a password-protected dataset (see Supplementary files under Reading Tools online). To obtain a password for the dataset, please send a request with ‘SAGE data’ as its subject, detailing how you propose to use the data, to global.health@epiph.umu.se

The impact of immunization on the association between poverty and child survival: evidence from Kassena-Nankana District of northern Ghana.

BackgroundIntegrated into the work in health systems strengthening (HSS) is a growing focus on the importance of ensuring quality of the services delivered and systems which support them. Understanding how to define and measure quality in the different key World Health Organization building blocks is critical to providing the information needed to address gaps and identify models for replication.Description of approachesWe describe the approaches to defining and improving quality across the five country programs funded through the Doris Duke Charitable Foundation African Health Initiative. While each program has independently developed and implemented country-specific approaches to strengthening health systems, they all included quality of services and systems as a core principle. We describe the differences and similarities across the programs in defining and improving quality as an embedded process essential for HSS to achieve the goal of improved population health. The programs measured quality across most or all of the six WHO building blocks, with specific areas of overlap in improving quality falling into four main categories: 1) defining and measuring quality; 2) ensuring data quality, and building capacity for data use for decision making and response to quality measurements; 3) strengthened supportive supervision and/or mentoring; and 4) operational research to understand the factors associated with observed variation in quality.ConclusionsLearning the value and challenges of these approaches to measuring and improving quality across the key components of HSS as the projects continue their work will help inform similar efforts both now and in the future to ensure quality across the critical components of a health system and the impact on population health.

Is Ghana’s pro-poor health insurance scheme really for the poor? Evidence from Northern Ghana

Background: Research conducted in Africa has consistently demonstrated that parental poverty and low educational attainment adversely affect child survival. Research conducted elsewhere has demonstrated that low-cost vaccines against preventable diseases reduce childhood mortality. Therefore, the extension of vaccination to impoverished populations is widely assumed to diminish equity effects. Recent evidence that childhood mortality is increasing in many countries where vaccination programmes are active challenges this assumption. Data and methods: This paper marshals data from accurate and complete immunization records and survival histories for 18,368 children younger than five years in a rural northern Ghanaian population that is generally impoverished, but where family wealth and parental educational differentials exist nonetheless. Time-conditional Weibull hazard models are estimated to test the hypothesis that childhood immunization offsets the detrimental effects of poverty and low educational attainment. Conclusions: Findings show that the adverse effects of poverty disappear and that the effects of educational attainment are reduced in survival models that control for immunization status. This finding lends empirical support to policies that promote immunization as a strategic component of poverty-reduction programmes.

Monitoring the millennium development goals: the potential role of the INDEPTH Network.

BackgroundProtecting the poor and vulnerable against the cost of unforeseen ill health has become a global concern culminating in the 2005 World Health Assembly resolution urging member states to ensure financial protection to all citizens, especially children and women of reproductive age. Ghana provides financial protection to its citizens through the National Health Insurance Scheme (NHIS). Launched in 2004, its proponents claim that the NHIS is a pro-poor financial commitment that implements the World Health Assembly resolution.MethodsUsing 2011 survey data collected in seven districts in northern Ghana from 5469 women aged 15 to 49 the paper explores the extent to which poor child-bearing age mothers are covered by the NHIS in Ghana’s poorest and most remote region. Factors associated with enrolment into the NHIS are estimated with logistic regression models employing covariates for household relative socio-economic status (SES), location of residence and maternal educational attainment, marital status, age, religion and financial autonomy.ResultsResults from the analysis showed that 33.9 percent of women in the lowest SES quintile compared to 58.3 percent for those in the highest quintile were insured. About 60 percent of respondents were registered. However, only 40 percent had valid insurance cards indicating that over 20 percent of the registered respondents did not have insurance cards. Thus, a fifth of the respondents were women who were registered but unprotected from the burden of health care payments. Results show that the relatively well educated, prosperous, married and Christian respondents were more likely to be insured than other women. Conversely, women living in remote households that were relatively poor or where traditional religion was practised had lower odds of insurance coverage.ConclusionThe results suggest that the NHIS is yet to achieve its goal of addressing the need of the poor for insurance against health related financial risks. To ultimately attain adequate equitable financial protection for its citizens, achieve universal health coverage in health care financing, and fully implement the World Health Assembly resolution, Ghana must reform enrolment policies in ways that guarantee pre-payment for the most poor and vulnerable households.