Supporting local planning and budgeting for maternal, neonatal and child health in the Philippines

The impact of decentralisation on health systems in fragile and post-conflict countries: a narrative synthesis of six case studies in the Indo-Pacific

A health system has three key stakeholders, the State-at national and subnational levels-the health service providers and the citizens. In most settings and especially in peacetime, these stakeholders are typically well-defined. In contrast, during conflict and crisis as well as during ceasefire and post-conflict peacebuilding, stakeholders in the health system are often more diverse and contested. Health systems in such settings tend to be more decentralised, de facto-often in addition to de jure decentralisation. Despite much debate on the potential benefits of decentralisation, assessing its impact on health system performance remains difficult and its effect is open to dispute in the literature. This narrative synthesis aims to support efforts to assess and make sense of how decentralisation impacts health system performance in fragile and post-conflict countries-by synthesising evidence on the impact of decentralisation on health system performance from six country case studies: Papua New Guinea, the Philippines, Indonesia, Pakistan, Myanmar and Nepal. The impact of decentralisation on health system performance is optimised when combining centralisation (e.g., the benefits of central coordination in improving efficiency) with decentralisation (e.g., the benefits of local decision making in improving equity and resilience). The findings may inform efforts to think through what to centralise or decentralise, the impacts of those choices, and how the impact may change over time as countries go through and emerge from conflict-and as they go through and recover from the Covid-19 pandemic and prepare for future pandemics.

Barriers and Facilitators to Data Use for Decision Making: The Experience of the African Health Initiative Partnerships in Ethiopia, Ghana, and Mozambique

BACKGROUND

Three African Health Initiative (AHI) partnership projects in Ethiopia, Ghana, and Mozambique implemented strategies to improve the quality and evaluation of routinely collected data at the primary health care level and stimulate its use in evidence-based decision making. We compare how these programs designed and carried out data for decision-making (DDM) strategies, elaborate on barriers and facilitators to implementation success, and offer recommendations for future DDM programming.

METHODS

Researchers from each project collaboratively wrote a cross-country protocol based on these objectives. By adapting the Consolidated Framework for Implementation Research (CFIR) through a qualitative theme reduction process, they harmonized lines of inquiry on the design of the respective DDM strategies and the barriers and facilitators of effective implementation. We conducted in-depth interviews and focus group discussions with stakeholders from the primary health care systems in each country, and we carried out multistage, thematic analyses using a deductive lens.

RESULTS

Effective implementation of DDM depended on whether implementers felt that DDM was adaptable to context, feasible to trial, and easy to introduce and maintain. The prevailing policy and political environment in the wider health system, learning climate and absorptive capacity for evidence-based change in DDM settings, engagement of external change agents and internal change leaders, and promotion of opportunities and means for team-based reflection and evaluations of what works influenced the success or failure of DDM strategies.

CONCLUSION

Opportunities for team-based capacity building and individual mentorship led to effective DDM programming. External policies and associated incentives bolstered this but occasionally led to unintended consequences. Leadership engagement and availability of resources to act on recommendations; respond to capacity-building needs; and facilitate collaborations between peers, within hierarchies, and across the local health system proved crucial to DDM, as was encouraging adaptation and opportunities for iterative on-the-job learning.

A Novel Approach to Promote Evidence-Based Development of District Maternal and Newborn Health Plans in Two States in India

Background:

Maternal and child health implementation plan development in districts of India lacks systematic process and capacity resulting in suboptimal health improvements. There is ineffective and limited participation and lack of autonomy to effect changes in district priorities.

Objectives:

Primary objective was to demonstrate a systematic planning approach to develop evidence-based district implementation plans for mothers and children.

Methods:

A planning tool named RAASTA (RMNCH + A Action Agenda using Strategic Approach for evidence-based district work plans) adapted from WHO (World Health Organization) program review tools was used in the states of Uttarakhand and Jharkhand. The tool was implemented in the two states for the development of implementation plans in a 6-step process by prioritizing district health goals; reviewing maternal, neonatal, child, and family planning intervention coverage; and linking them with activity implementation status; assessing strengths, and weaknesses of previous implementation plans and developing solutions based on current gaps in intervention coverage's.

Results:

Tool was used for capacity building of 59 participants and also identification of prioritized activities based on their available data. Several newer activities were identified. The districts mainstreamed them as action plans, many of which were incorporated in the state Program Implementation Plan for budgetary provisions under state NHM (National Health Mission) funds.

Conclusion:

The use of a tool facilitated the systematic development of evidence-based district implementation plans.

Putting the local back into planning-experiences and perceptions of state and district health functionaries of seven aspirational districts in India on an innovative planning capacity building approach

District functionaries have ostensibly a major responsibility to develop evidence based plans. However, this responsibility is not commensurate with skills and expertise among functionaries in many Indian states. Vriddhi project-technical partner of the government, developed a planning tool for maternal and neonatal health programmes, called RMNCH + A Action Agenda using Strategic Approach (RAASTA), which was introduced in a workshop format in two states and attended by program officers. Qualitative feedback was obtained from selected participants to understand their experience of the workshop and of the planning tool. It emerged that previous planning process had little application of local evidence based solutions. Participants appreciated the alternative approach as RAASTA equipped them to use local evidence. Several action plans derived at the workshop were included in the state plan. At the same time, apprehension was expressed by participants about translating their learnings to practical application as planning was not a central priority in their scheme of duties and tasks. Enhanced support from states in refreshing district planners' skills would be an important step. One state government has scaled up the RAASTA tool while an electronic version is being developed for future use as it demonstrates great potential to equip and aid district officials in developing evidence based plans.

Evaluating health service coverage in Ghana's Volta Region using a modified Tanahashi model

Background: The United Nations 2030 Sustainable Development Goals have reaffirmed the international community’s commitment to maternal, newborn, and child health, with further investments in achieving quality essential service coverage and financial protection for all.

Objective: Using a modified version of the 1978 Tanahashi model as an analytical framework for measuring and assessing health service coverage, this paper aims to examine the system of care at the community level in Ghana’s Volta Region to highlight the continued reforms needed to achieve Universal Health Coverage.

Methods: The Tanahashi model evaluates health system coverage through five key measures that reflect different stages along the service provision continuum: availability of services; accessibility; initial contact with the health system; continued utilization; and quality coverage. Data from cross-sectional household and health facility surveys were used in this study. Immunization and antenatal care services were selected as tracer interventions to serve as proxies to assess systems bottlenecks.

Results: Financial access and quality coverage were identified as the biggest bottlenecks for both tracer indicators. Financial accessibility, measured by enrollment in Ghana’s National Health Insurance Scheme was poor with 16.94% presenting valid membership cards. Childhood immunization was high but dropped modestly from 93.8% at initial contact to 76.7% quality coverage. For antenatal care, estimates ranged from 65.9% at initial visit to 25.1% quality coverage.

Conclusion: Results highlight the difficulty in achieving high levels of quality service coverage and the large variations that exist within services provided at the primary care level. While vertical investments have been prioritized to benefit specific health services, a comprehensive systems approach to primary health care needs to be further strengthened to reach Ghana’s Universal Health Coverage objectives.

"There Is No Link Between Resource Allocation and Use of Local Data": A Qualitative Study of District-Based Health Decision-Making in West Bengal, India

BACKGROUND

Effective coordination among multiple departments, including data-sharing, is needed for sound decision-making for health services. India has a district planning process involving departments for local resource-allocation based on shared data. This study assesses the decision-making process at the district level, with a focus on the extent of local data-use for resource allocation for maternal and child health.

METHODS

Direct observations of key decision-making meetings and qualitative interviews with key informants were conducted in two districts in the State of West Bengal, India. Content analysis of the data maintained within the district health system was done to understand the types of data available and sharing mechanisms. This information was triangulated thematically based on WHO health system blocks.

RESULTS

There was no structured decision-making process and only limited inter-departmental data-sharing. Data on all 21 issues discussed in the district decision-making meetings observed were available within the information systems. Yet indicators for only nine issues-such as institutional delivery and immunisation services were discussed. Discussions about infrastructure and supplies were not supported by data, and planning targets were not linked to health outcomes.

CONCLUSION

Existing local data is highly under-used for decision-making at the district level. There is strong potential for better interaction between departments and better use of data for priority-setting, planning and follow-up.

Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review

BACKGROUND

A routine health information system is one of the essential components of a health system. Interventions to improve routine health information system data quality and use for decision-making in low- and middle-income countries differ in design, methods, and scope. There have been limited efforts to synthesise the knowledge across the currently available intervention studies. Thus, this scoping review synthesised published results from interventions that aimed at improving data quality and use in routine health information systems in low- and middle-income countries.

METHOD

We included articles on intervention studies that aimed to improve data quality and use within routine health information systems in low- and middle-income countries, published in English from January 2008 to February 2020. We searched the literature in the databases Medline/PubMed, Web of Science, Embase, and Global Health. After a meticulous screening, we identified 20 articles on data quality and 16 on data use. We prepared and presented the results as a narrative.

RESULTS

Most of the studies were from Sub-Saharan Africa and designed as case studies. Interventions enhancing the quality of data targeted health facilities and staff within districts, and district health managers for improved data use. Combinations of technology enhancement along with capacity building activities, and data quality assessment and feedback system were found useful in improving data quality. Interventions facilitating data availability combined with technology enhancement increased the use of data for planning.

CONCLUSION

The studies in this scoping review showed that a combination of interventions, addressing both behavioural and technical factors, improved data quality and use. Interventions addressing organisational factors were non-existent, but these factors were reported to pose challenges to the implementation and performance of reported interventions.

Decentralization and Regionalization of Surgical Care: A Review of Evidence for the Optimal Distribution of Surgical Services in Low- and Middle-Income Countries

Background: While recommendations for the optimal distribution of surgical services in high-income countries (HICs) exist, it is unclear how these translate to resource-limited settings. Given the significant shortage and maldistribution of surgical workforce and infrastructure in many low- and middle-income countries (LMICs), the optimal role of decentralization versus regionalization (centralization) of surgical care is unknown. The aim of this study is to review evidence around interventions aimed at redistributing surgical services in LMICs, to guide recommendations for the ideal organization of surgical services.

Methods: A narrative-based literature review was conducted to answer this question. Studies published in English between 1997 and 2017 in PubMed, describing interventions to decentralize or regionalize a surgical procedure in a LMIC, were included. Procedures were selected using the Disease Control Priorities’ (DCP3) Essential Surgery Package list. Intervention themes and outcomes were analyzed using a narrative, thematic synthesis approach. Primary outcomes included mortality, complications, and patient satisfaction. Secondary outcomes included input measures: workforce and infrastructure, and process measures: facility-based care, surgical volume, and referral rates.

Results: Thirty-five studies were included. Nine (33%) of the 27 studies describing decentralization showed an improvement in primary outcomes. The procedures associated with improved outcomes after decentralization included most obstetric, gynecological, and family planning services as well as some minor general surgery procedures. Out of 8 studies on regionalization (centralization), improved outcomes were shown for trauma care in one study and cataract extraction in one study.

Conclusion: Interventions aimed at decentralizing obstetric care to the district hospital and health center levels have resulted in mortality benefits in several countries. However, more evidence is needed to link service distribution to patient outcomes in order to provide recommendations for the optimal organization of other surgical procedures in LMICs. Considerations for the optimal distribution of surgical procedures should include the acuity of the condition for which the procedure is indicated, anticipated case volume, and required level of technical skills, resources, and infrastructure. These attributes should be considered within the context of each country.

Optimising decentralisation for the health sector by exploring the synergy of decision space, capacity and accountability: insights from the Philippines

BACKGROUND

Several studies on decentralisation have used the 'decision space' approach to assess the breadth of space made available to decision-makers at lower levels of the health system. However, in order to better understand how decentralisation becomes effective for the health sector, analysis should go beyond assessing decision space and include the dimensions of capacity and accountability. Building on Bossert's earlier work on the synergy of these dimensions, we analysed decision-making in the Philippines where governmental health services have been devolved to local governments since 1992.

METHODS

Using a qualitative research design, we interviewed 27 key decision-makers at different levels of the Philippine health system and representing various local settings. We explored their perspectives on decision space, capacities and accountability in the health sector functions of planning, financing and budget allocation, programme implementation and service delivery, management of facilities, equipment and supplies, health workforce management, and data monitoring and utilisation. Analysis followed the Framework Method.

RESULTS

Across all functions, decision space for local decision-makers was assessed to be moderate or narrow despite 25 years of devolution. To improve decision-making in these functions, adjustments in local capacities should include, at the individual level, skills for strategic planning, management, priority-setting, evidence-informed policy-making and innovation in service delivery. At institutional levels, these desired capacities should include having a multi-stakeholder approach, generating revenues from local sources, partnering with the private sector and facilitating cooperation between local health facilities. On the other hand, adjustments in accountability should focus on the various mechanisms that can be enforced by the central level, not only to build the desired capacities and augment the inadequacies at local levels, but also to incentivise success and regulate failure by the local governments in performing the functions transferred to them.

CONCLUSION

To optimise decentralisation for the health sector, widening decision spaces for local decision-makers must be accompanied by the corresponding adjustments in capacities and accountability for promoting good decision-making at lower levels in the decentralised functions. Analysing the health system through the lens of this synergy is useful for exploring concrete policy adjustments in the Philippines as well as in other settings.

What conditions enable decentralization to improve the health system? Qualitative analysis of perspectives on decision space after 25 years of devolution in the Philippines

BACKGROUND

Decentralization is promoted as a strategy to improve health system performance by bringing decision-making closer to service delivery. Some studies have investigated if decentralization actually improves the health system. However, few have explored the conditions that enable it to be effective. To determine these conditions, we have analyzed the perspectives of decision-makers in the Philippines where devolution, one form of decentralization, was introduced 25 years ago.

METHODS

Drawing from the "decision space" approach, we interviewed 27 decision-makers with an average of 23.6 years of working across different levels of the Philippine government health sector and representing various local settings. Qualitative analysis followed the "Framework Method." Conditions that either enable or hinder the effectiveness of decentralization were identified by exploring decision-making in five health sector functions.

RESULTS

These conditions include: for planning, having a multi-stakeholder approach and monitoring implementation; for financing and budget allocation, capacities to raise revenues at local levels and pooling of funds at central level; for resource management, having a central level capable of augmenting resource needs at local levels and a good working relationship between the local health officer and the elected local official; for program implementation and service delivery, promoting innovation at local levels while maintaining fidelity to national objectives; and for monitoring and data management, a central level capable of ensuring that data collection from local levels is performed in a timely and accurate manner.

CONCLUSIONS

The Philippine experience suggests that decentralization is a long and complex journey and not an automatic solution for enhancing service delivery. The role of the central decision-maker (e.g. Ministry of Health) remains important to assist local levels unable to perform their functions well. It is policy-relevant to analyze the conditions that make decentralization work and the optimal combination of decentralized and centralized functions that enhance the health system.

Bottleneck analysis at district level to illustrate gaps within the district health system in Uganda

Background: Poor quality of care and access to effective and affordable interventions have been attributed to constraints and bottlenecks within and outside the health system. However, there is limited understanding of health system barriers to utilization and delivery of appropriate, high-impact, and cost-effective interventions at the point of service delivery in districts and sub-districts in low-income countries. In this study we illustrate the use of the bottleneck analysis approach, which could be used to identify bottlenecks in service delivery within the district health system.

Methods: A modified Tanahashi model with six determinants for effective coverage was used to determine bottlenecks in service provision for maternal and newborn care. The following interventions provided during antenatal care were used as tracer interventions: use of iron and folic acid, intermittent presumptive treatment for malaria, HIV counseling and testing, and syphilis testing. Data from cross-sectional household and health facility surveys in Mayuge and Namayingo districts in Uganda were used in this study.

Results: Effective coverage and human resource gaps were identified as the biggest bottlenecks in both districts, with coverage ranging from 0% to 66% for effective coverage and from 46% to 58% for availability of health facility staff. Our findings revealed a similar pattern in bottlenecks in both districts for particular interventions although the districts are functionally independent.

Conclusion: The modified Tanahashi model is an analysis tool that can be used to identify bottlenecks to effective coverage within the district health system, for instance, the effective coverage for maternal and newborn care interventions. However, the analysis is highly dependent on the availability of data to populate all six determinants and could benefit from further validation analysis for the causes of bottlenecks identified.

Processo decisório em sistemas de saúde: uma revisão da literatura

Resumo Sistemas de saúde podem ser compreendidos como sistemas sociais que apresentam uma combinação de recursos, organização, financiamento e gerência que visam oferecer serviços de saúde para uma população. Para Tanios et al., a tomada de decisão em sistemas de saúde envolve a definição de critérios e valores, além do uso de evidências e do julgamento de alternativas na formulação de políticas públicas em saúde. O objeto deste artigo é a realização de uma revisão bibliográfica sobre o processo decisório em sistemas de saúde, como forma de auxiliar e orientar futuras pesquisas sobre o tema. Para isso, foi realizada a busca bibliográfica nas bases ISI Web of Knowledge e Scopus, sem restrição quanto ao período de publicação. A partir disso, foi feita a redação sintóptica dos conteúdos extraídos das publicações levantadas nessa busca. Os resultados dessa revisão foram agrupados em quatro temas: definições e contexto do processo decisório em sistemas de saúde; critérios e desafios do processo; modelos de tomada de decisão; e informações e sistemas de informação de suporte ao processo decisório.

District decision-making for health in low-income settings: a systematic literature review

Health management information systems (HMIS) produce large amounts of data about health service provision and population health, and provide opportunities for data-based decision-making in decentralized health systems. Yet the data are little-used locally. A well-defined approach to district-level decision-making using health data would help better meet the needs of the local population. In this second of four papers on district decision-making for health in low-income settings, our aim was to explore ways in which district administrators and health managers in low- and lower-middle-income countries use health data to make decisions, to describe the decision-making tools they used and identify challenges encountered when using these tools. A systematic literature review, following PRISMA guidelines, was undertaken. Experts were consulted about key sources of information. A search strategy was developed for 14 online databases of peer reviewed and grey literature. The resources were screened independently by two reviewers using pre-defined inclusion criteria. The 14 papers included were assessed for the quality of reported evidence and a descriptive evidence synthesis of the review findings was undertaken. We found 12 examples of tools to assist district-level decision-making, all of which included two key stages—identification of priorities, and development of an action plan to address them. Of those tools with more steps, four included steps to review or monitor the action plan agreed, suggesting the use of HMIS data. In eight papers HMIS data were used for prioritization. Challenges to decision-making processes fell into three main categories: the availability and quality of health and health facility data; human dynamics and financial constraints. Our findings suggest that evidence is available about a limited range of processes that include the use of data for decision-making at district level. Standardization and pre-testing in diverse settings would increase the potential that these tools could be used more widely.

Policy opportunities and limitations of evidence-based planning for immunization: lessons learnt from a field trial in Bangladesh

Despite success in scaling up immunization, the national immunization programme in Bangladesh remains challenged by persisting inequities in health access related to geographic location and social factors, including income and education status. In order to tackle these inequities in access, the national immunization programme has conducted a field trial of the evidence-based planning model in Bangladesh between 2011 and 2013, in 11 low-performing districts and 3 city corporations. The main elements of this intervention included bottleneck analysis in local areas, action planning and budgeting to correct the bottlenecks, and establishment of a monitoring system to track progress. Coverage improved in 8 out of 14 districts post intervention. The main success factors associated with the intervention included more analytic approaches to situation assessment and taking action on health inequities at the local level, as well as more considered use of local data to track immunization drop-outs. The main factors associated with coverage declines in trial areas (6 districts) included poor financial resourcing and supervisory support, and gaps and turnover in human resources. In order to sustain and improve coverage, it will be necessary in future to link pro-equity approaches to subdistrict planning to higher-level health-system-strengthening strategy and planning systems. This will ensure that local area planners have the required resources, comprehensive operational plans and political support to sustain implementation of corrective actions to address identified system bottlenecks and inequities in health access at the local level.

LOCAL GOVERNMENT AND COMMUNITY LEADERS' PERSPECTIVES ON CHILD HEALTH AND MORTALITY AND INEQUITY ISSUES IN RURAL EASTERN INDONESIA

Since 2001 a decentralization policy has increased the responsibility placed on local government for improving child health in Indonesia. This paper explores local government and community leaders' perspectives on child health in a rural district in Indonesia, using a qualitative approach. Focus group discussions were held in May 2013. The issues probed relate to health personnel skills and motivation, service availability, the influence of traditional beliefs, and health care and gender inequity. The participants identify weak leadership, inefficient health management and inadequate child health budgets as important issues. The lack of health staff in rural areas is seen as the reason for promoting the use of traditional birth attendants. Midwifery graduates and village midwives are perceived as lacking motivation to work in rural areas. Some local traditions are seen as detrimental to child health. Husbands provide little support to their wives. These results highlight the need for a harmonization and alignment of the efforts of local government agencies and local community leaders to address child health care and gender inequity issues.

Health sector priority setting at meso-level in lower and middle income countries: lessons learned, available options and suggested steps

Setting priority for health programming and budget allocation is an important issue, but there is little consensus on related processes. It is particularly relevant in low resource settings and at province- and district- or "meso-level", where contextual influences may be greater, information scarce and capacity lower. Although recent changes in disease epidemiology and health financing suggest even greater need to allocate resources effectively, the literature is relatively silent on evidence-based priority-setting in low and middle income countries (LMICs). We conducted a comprehensive review of the peer-reviewed and grey literature on health resource priority-setting in LMICs, focussing on meso-level and the evidence-based priority-setting processes (PSPs) piloted or suggested there. Our objective was to assess PSPs according to whether they have influenced resource allocation and impacted the outcome indicators prioritised. An exhaustive search of the peer-reviewed and grey literature published in the last decade yielded 57 background articles and 75 reports related to priority-setting at meso-level in LMICs. Although proponents of certain PSPs still advocate their use, other experts instead suggest broader elements to guide priority-setting. We conclude that currently no process can be confidently recommended for such settings. We also assessed the common reasons for failure at all levels of priority-setting and concluded further that local authorities should additionally consider contextual and systems limitations likely to prevent a satisfactory process and outcomes, particularly at meso-level. Recent literature proposes a list of related attributes and warning signs, and facilitated our preparation of a simple decision-tree or roadmap to help determine whether or not health systems issues should be improved in parallel to support for needed priority-setting; what elements of the PSP need improving; monitoring, and evaluation. Health priority-setting at meso-level in LMICs can involve common processes, but will often require additional attention to local health systems.

Impact of a decision-support tool on decision making at the district level in Kenya

BACKGROUND

In many countries, the responsibility for planning and delivery of health services is devolved to the subnational level. Health programs, however, often fall short of efficient use of data to inform decisions. As a result, programs are not as effective as they can be at meeting the health needs of the populations they serve. In Kenya, a decision-support tool, the District Health Profile (DHP) tool was developed to integrate data from health programs, primarily HIV, at the district level and to enable district health management teams to review and monitor program progress for specific health issues to make informed service delivery decisions.

METHODS

Thirteen in-depth interviews were conducted with ten tool users and three non-users in six districts to qualitatively assess the process of implementing the tool and its effect on data-informed decision making at the district level. The factors that affected use or non-use of the tool were also investigated. Respondents were selected via convenience sample from among those that had been trained to use the DHP tool except for one user who was self-taught to use the tool. Selection criteria also included respondents from urban districts with significant resources as well as respondents from more remote, under-resourced districts.

RESULTS

Findings from the in-depth interviews suggest that among those who used it, the DHP tool had a positive effect on data analysis, review, interpretation, and sharing at the district level. The automated function of the tool allowed for faster data sharing and immediate observation of trends that facilitated data-informed decision making. All respondents stated that the DHP tool assisted them to better target existing services in need of improvement and to plan future services, thus positively influencing program improvement.

CONCLUSIONS

This paper stresses the central role that a targeted decision-support tool can play in making data aggregation, analysis, and presentation easier and faster. The visual synthesis of data facilitates the use of information in health decision making at the district level of a health system and promotes program improvement. The experience in Kenya can be applied to other countries that face challenges making district-level, data-informed decisions with data from fragmented information systems.

Impact of a decision-support tool on decision making at the district level in Kenya

BACKGROUND

In many countries, the responsibility for planning and delivery of health services is devolved to the subnational level. Health programs, however, often fall short of efficient use of data to inform decisions. As a result, programs are not as effective as they can be at meeting the health needs of the populations they serve. In Kenya, a decision-support tool, the District Health Profile (DHP) tool was developed to integrate data from health programs, primarily HIV, at the district level and to enable district health management teams to review and monitor program progress for specific health issues to make informed service delivery decisions.

METHODS

Thirteen in-depth interviews were conducted with ten tool users and three non-users in six districts to qualitatively assess the process of implementing the tool and its effect on data-informed decision making at the district level. The factors that affected use or non-use of the tool were also investigated. Respondents were selected via convenience sample from among those that had been trained to use the DHP tool except for one user who was self-taught to use the tool. Selection criteria also included respondents from urban districts with significant resources as well as respondents from more remote, under-resourced districts.

RESULTS

Findings from the in-depth interviews suggest that among those who used it, the DHP tool had a positive effect on data analysis, review, interpretation, and sharing at the district level. The automated function of the tool allowed for faster data sharing and immediate observation of trends that facilitated data-informed decision making. All respondents stated that the DHP tool assisted them to better target existing services in need of improvement and to plan future services, thus positively influencing program improvement.

CONCLUSIONS

This paper stresses the central role that a targeted decision-support tool can play in making data aggregation, analysis, and presentation easier and faster. The visual synthesis of data facilitates the use of information in health decision making at the district level of a health system and promotes program improvement. The experience in Kenya can be applied to other countries that face challenges making district-level, data-informed decisions with data from fragmented information systems.

Investment case for improving maternal and child health: results from four countries

BACKGROUND

Without addressing the constraints specific to disadvantaged populations, national health policies such as universal health coverage risk increasing equity gaps. Health system constraints often have the greatest impact on disadvantaged populations, resulting in poor access to quality health services among vulnerable groups.

METHODS

The Investment Cases in Indonesia, Nepal, Philippines, and the state of Orissa in India were implemented to support evidence-based sub-national planning and budgeting for equitable scale-up of quality MNCH services. The Investment Case framework combines the basic setup of strategic problem solving with a decision-support model. The analysis and identification of strategies to scale-up priority MNCH interventions is conducted by in-country planners and policymakers with facilitation from local and international research partners.

RESULTS

Significant variation in scaling-up constraints, strategies, and associated costs were identified between countries and across urban and rural typologies. Community-based strategies have been considered for rural populations served predominantly by public providers, but this analysis suggests that the scaling-up of maternal, newborn, and child health services requires health system interventions focused on 'getting the basics right'. These include upgrading or building facilities, training and redistribution of staff, better supervision, and strengthening the procurement of essential commodities. Some of these strategies involve substantial early capital expenditure in remote and sparsely populated districts. These supply-side strategies are not only the 'best buys', but also the 'required buys' to ensure the quality of health services as coverage increases. By contrast, such public supply strategies may not be the 'best buys' in densely populated urbanised settings, served by a mix of public and private providers. Instead, robust regulatory and supervisory mechanisms are required to improve the accessibility and quality of services delivered by the private sector. They can lead to important maternal mortality reductions at relatively low costs.

CONCLUSIONS

National strategies that do not take into consideration the special circumstances of disadvantaged areas risk disempowering local managers and may lead to a "business-as-usual" acceptance of unreachable goals. To effectively guide health service delivery at a local level, national plans should adopt typologies that reflect the different problems and strategies to scale up key MNCH interventions.