A political economy analysis of strengthening health information system in Tanzania.

BACKGROUND: Many countries' health systems are implementing reforms to improve the functioning and performance of the Health Management Information System (HMIS) to facilitate evidence-based decisions for delivery of accessible and quality health services. However, in some countries such efforts and initiatives have led to a complex HMIS ecosystem characterized by multiple and fragmented sub-systems. We undertook an in-depth analysis of the HMIS ecosystem in Tanzania to inform the ongoing initiatives, by understanding the relationship and power differences among stakeholders, as well as drivers and barriers to HMIS investment and strengthening. METHODOLOGY: This was a qualitative research method incorporating data collection through document review and key informant interviews guided by political economy analytical framework. A total of 17 key informant interviews were conducted between April and May 2022. A thematic content analysis was used during data analysis. RESULTS: Good relationship between the government and stakeholders dealing/supporting HMIS ecosystem was noted as there are technical working groups which brings stakeholders together to discuss and harmonize HMIS activities. The 'need for the data' has been the driving force toward investment in the HMIS ecosystem. The analysis showed that the government is the main stakeholder within the HMIS ecosystem and responsible for identifying the needs for improvement and has the power to approve or reject systems which are not in line with the government priority as stipulated with the HMIS investment roadmap/strategy. Moreover, partners with long relationship are powerful in influencing HMIS investment decision-making compared to those who are recently coming to support. It was further noted shortage of staff with technical competence, inadequate financial resources, and the development of fact that some of the existing systems have not been developed to their full capacity and have hindered the whole systems' integration and interoperability exercise of ensuring integration and interoperability of the systems. CONCLUSION: A need-based assessment of staff capacity at the sub-national level is equally important to identify available capabilities and the knowledge gap to strengthen the HMIS ecosystem. Strong coordination of the ideas and resources intended to strengthen the HMIS ecosystem would help to reduce fragmentation. In addition, there is a need to mobilize resources within and outside the country to facilitate the integration and interoperability process smoothly.

Economic consequences of caesarean section delivery: evidence from a household survey in Tanzania.

BACKGROUND: Caesarean section (C-section) delivery is an important indicator of access to life-saving essential obstetric care. Yet, there is limited understanding of the costs of utilising C-section delivery care in sub-Saharan Africa. Thus, we estimated the direct and indirect patient cost of accessing C-section in Tanzania. METHODS: Cross-sectional survey data of 2012 was used, which covered 3000 households from 11 districts in three regions. We interviewed women who had given births in the last 12 months before the survey to capture their experience of care. We used a regression model to estimate the effect of C-section on costs, while the degree of inequality on C-section coverage was assessed with a concentration index. RESULTS: C-section increased the likelihood of paying for health care by 16% compared to normal delivery. The additional cost of C-section compared to normal delivery was 20 USD, but reduced to about 11 USD when restricted to public facilities. Women with C-section delivery spent an extra 2 days at the health facility compared to normal delivery, but this was reduced slightly to 1.9 days in public facilities. The distribution of C-section coverage was significantly in favour of wealthier than poorest women (CI = 0.2052, p < 0.01), and this pro-rich pattern was consistent in rural districts but with unclear pattern in urban districts. CONCLUSIONS: C-section is a life-saving intervention but is associated with significant economic burden especially among the poor families. More health resources are needed for provision of free maternal care, reduce inequality in access and improve birth outcomes in Tanzania.

Mathematical modelling for health systems research: a systematic review of system dynamics and agent-based models.

BACKGROUND: Mathematical modelling has been a vital research tool for exploring complex systems, most recently to aid understanding of health system functioning and optimisation. System dynamics models (SDM) and agent-based models (ABM) are two popular complementary methods, used to simulate macro- and micro-level health system behaviour. This systematic review aims to collate, compare and summarise the application of both methods in this field and to identify common healthcare settings and problems that have been modelled using SDM and ABM. METHODS: We searched MEDLINE, EMBASE, Cochrane Library, MathSciNet, ACM Digital Library, HMIC, Econlit and Global Health databases to identify literature for this review. We described papers meeting the inclusion criteria using descriptive statistics and narrative synthesis, and made comparisons between the identified SDM and ABM literature. RESULTS: We identified 28 papers using SDM methods and 11 papers using ABM methods, one of which used hybrid SDM-ABM to simulate health system behaviour. The majority of SDM, ABM and hybrid modelling papers simulated health systems based in high income countries. Emergency and acute care, and elderly care and long-term care services were the most frequently simulated health system settings, modelling the impact of health policies and interventions such as those targeting stretched and under resourced healthcare services, patient length of stay in healthcare facilities and undesirable patient outcomes. CONCLUSIONS: Future work should now turn to modelling health systems in low- and middle-income countries to aid our understanding of health system functioning in these settings and allow stakeholders and researchers to assess the impact of policies or interventions before implementation. Hybrid modelling of health systems is still relatively novel but with increasing software developments and a growing demand to account for both complex system feedback and heterogeneous behaviour exhibited by those who access or deliver healthcare, we expect a boost in their use to model health systems.

Who benefits from increased service utilisation? Examining the distributional effects of payment for performance in Tanzania.

BACKGROUND: Payment for performance (P4P) strategies, which provide financial incentives to health workers and/or facilities for reaching pre-defined performance targets, can improve healthcare utilisation and quality. P4P may also reduce inequalities in healthcare use and access by enhancing universal access to care, for example, through reducing the financial barriers to accessing care. However, P4P may also enhance inequalities in healthcare if providers cherry-pick the easier-to-reach patients to meet their performance targets. In this study, we examine the heterogeneity of P4P effects on service utilisation across population subgroups and its implications for inequalities in Tanzania. METHODS: We used household data from an evaluation of a P4P programme in Tanzania. We surveyed about 3000 households with women who delivered in the last 12 months prior to the interview from seven intervention and four comparison districts in January 2012 and a similar number of households in 13 months later. The household data were used to generate the population subgroups and to measure the incentivised service utilisation outcomes. We focused on two outcomes that improved significantly under the P4P, i.e. institutional delivery rate and the uptake of antimalarials for pregnant women. We used a difference-in-differences linear regression model to estimate the effect of P4P on utilisation outcomes across the different population subgroups. RESULTS: P4P led to a significant increase in the rate of institutional deliveries among women in poorest and in middle wealth status households, but not among women in least poor households. However, the differential effect was marginally greater among women in the middle wealth households compared to women in the least poor households (p = 0.094). The effect of P4P on institutional deliveries was also significantly higher among women in rural districts compared to women in urban districts (p = 0.028 for differential effect), and among uninsured women than insured women (p = 0.001 for differential effect). The effect of P4P on the uptake of antimalarials was equally distributed across population subgroups. CONCLUSION: P4P can enhance equitable healthcare access and use especially when the demand-side barriers to access care such as user fees associated with drug purchase due to stock-outs have been reduced.

Validity of parental recalls to estimate vaccination coverage: evidence from Tanzania.

BACKGROUND: The estimates of vaccination coverage are measured from administrative data and from population based survey. While both card-based and recall data are collected through population survey, and the recall is when the card is missing, the preferred estimates remain of the card-based due to limited validity of parental recalls. As there is a concern of missing cards in poor settings, the evidence on validity of parental recalls is limited and varied across vaccine types, and therefore timely and needed. We validated the recalls against card-based data based on population survey in Tanzania. METHODS: We used a cross-sectional survey of about 3000 households with women who delivered in the last 12 months prior to the interview in 2012 from three regions in Tanzania. Data on the vaccination status on four vaccine types were collected using two data sources, card and recall-based. We compared the level of agreement and identified the recall bias between the two data sources. We further computed the sensitivity and specificity of parental recalls, and used a multivariate logit model to identify the determinants of parental recall bias. RESULTS: Most parents (85.4%) were able to present the vaccination cards during the survey, and these were used for analysis. Although the coverage levels were generally similar across data sources, the recall-based data slightly overestimated the coverage estimates. The level of agreement between the two data sources was high above 94%, with minimal recall bias of less than 6%. The recall bias due to over-reporting were slightly higher than that due to under-reporting. The sensitivity of parental recalls was generally high for all vaccine types, while the specificity was generally low across vaccine types except for measles. The minimal recall bias for DPT and measles were associated with the mother's age, education level, health insurance status, region location and child age. CONCLUSION: Parental recalls when compared to card-based data are hugely accurate with minimal recall bias in Tanzania. Our findings support the use of parental recall collected through surveys to identify the child vaccination status in the absence of vaccination cards. The use of recall data alongside card-based estimates also ensures more representative coverage estimates.

Improving quality of care through payment for performance: examining effects on the availability and stock-out of essential medical commodities in Tanzania.

OBJECTIVE: To evaluate the effects of payment for performance (P4P) on the availability and stock-out rate of reproductive, maternal, newborn and child health (RMNCH) medical commodities in Tanzania and assess the distributional effects. METHODS: The availability of RMNCH commodities (medicines, supplies and equipment) on the day of the survey, and stock-outs for at least one day in the 90 days prior to the survey, was measured in 75 intervention and 75 comparison facilities in January 2012 and 13 months later. Composite scores for each subgroup of commodities were generated. A difference-in-differences linear regression was used to estimate the effect of P4P on outcomes and differential effects by facility location, level of care, ownership and socio-economic status of the catchment population. RESULTS: We estimated a significant increase in the availability of medicines by 8.4 percentage points (P = 0.002) and an 8.3 percentage point increase (P = 0.050) in the availability of medical supplies. P4P had no effect on the availability of functioning equipment. Most items with a significant increase in availability also showed a significant reduction in stock-outs. Effects were generally equally distributed across facilities, with effects on stock-outs of many medicines being pro-poor, and greater effects in facilities in rural compared to urban districts. CONCLUSION: P4P can improve the availability of medicines and medical supplies, especially in poor, rural areas, when these commodities are incentivised at both facility and district levels, making services more acceptable, effective and affordable, enhancing progress towards universal health coverage.

Protocol for the evaluation of a free health insurance card scheme for poor pregnant women in Mbeya region in Tanzania: a controlled-before and after study.

BACKGROUND: The use of demand-side financing mechanisms to increase health service utilisation among target groups and enhance service quality is gaining momentum in many low- and middle-income countries. However, there is limited evidence on the effects of such schemes on equity, financial protection, quality of care, and cost-effectiveness. A scheme providing free health insurance cards to poor pregnant women and their households was first introduced in two regions of Tanzania in 2011 and gradually expanded in 2012. METHODS: A controlled before and after study will examine in one district the effect of the scheme on utilization, quality, and cost of healthcare services accessed by poor pregnant women and their households in Tanzania. Data will be collected 4 months before implementation of the scheme and 17 months after the start of implementation from a survey of 24 health facilities, 288 patients exiting consultations and 1500 households of women who delivered in the previous year in one intervention district (Mbarali). 288 observations of provider-client interactions will also be carried out. The same data will be collected from a comparison district in a nearby region. A process evaluation will ascertain how the scheme is implemented in practice and the level of implementation fidelity and potential moderators. The process evaluation will draw from impact evaluation data and from three rounds of data collection at the national, regional, district, facility and community levels. An economic evaluation will measure the cost-effectiveness of the scheme relative to current practice from a societal perspective. DISCUSSION: This evaluation will generate evidence on the impact and cost-effectiveness of targeted health insurance for pregnant women in a low income setting, as well as building a better understanding of the implementation process and challenges for programs of this nature.

Pay for performance: an analysis of the context of implementation in a pilot project in Tanzania.

BACKGROUND: Pay for performance schemes are increasingly being implemented in low income countries to improve health service coverage and quality. This paper describes the context within which a pay for performance programme was introduced in Tanzania and discusses the potential for pay for performance to address health system constraints to meeting targets. METHOD: 40 in-depth interviews and four focus group discussions were undertaken with health workers, and regional, district and facility managers. Data was collected on work environment characteristics and staff attitudes towards work in the first phase of the implementation of the pilot. A survey of 75 facilities and 101 health workers were carried out to examine facility resourcing, and health worker employment conditions and job satisfaction. RESULTS: Five contextual factors which affect the implementation of P4P were identified by health workers: salary and employment benefits; resource availability, including staff, medicines and functioning equipment; supervision; facility access to utilities; and community preferences. The results suggest that it is important to consider contextual issues when implementing pay for performance schemes in low income settings. It highlights the importance of basic infrastructures being in place, a minimum number of staff with appropriate education and skills as well as sufficient resources before implementing pay for performance. CONCLUSION: Health professionals working within a pay for performance scheme in Tanzania were concerned about challenges related to shortages of resources, limited supplies and unfavourable community preferences. The P4P scheme may provide the incentive and means to address certain constraints, in so far as they are within the control of providers and managers, however, other constraints will be harder to address.

Assessing equity and efficiency of health financing towards universal health coverage between regions in Tanzania.

Equity and efficiency in health financing are intermediate universal health coverage (UHC) objectives. While there is growing attention to monitoring these goals at the national level, subnational assessment is also needed to uncover potential divergences across subnational units. We assessed whether health funds were allocated or contributed equitably and spent efficiently across 26 regions in Tanzania in 2017/18 for four sources of funding. Government and donor health basket fund (HBF) expenditure data were obtained from government authorities. Household contributions to health insurance and out-of-pocket payments were obtained from the national household budget survey. We used the Kakwani index (KI) to measure regional funding equity, whereby regional GDP per capita measured regional economic status. Efficiency analysis included four financing inputs and two UHC outputs (maternal health service coverage and financial protection indices). Data envelopment analysis estimated efficiency scores. There was substantial variation in per capita regional funding, especially in insurance contributions (TZS 473-13,520), and service coverage performance (49-86.3%). There was less variation in per capita HBF spending (TZS 1294-2394) and financial protection (93.5-99.4%). Government spending (KI: -0.047, p = 0.348) was proportional to regional economic status; but HBF spending (KI: -0.195, p < 0.001) was significantly progressive (equitably distributed), being targeted to regions with high economic need (poor). The burden of contributing to social health insurance (NHIF) was proportional (KI: 0.058, p = 0.613), while the burden of paying for community-based insurance (CHF, KI: -0.152, p=0.012) and out-of-pocket payments (KI: -0.187, p=0.005) was higher among the poor (regressive). The average efficiency score across regions was 90%, indicating that 90% of financial resources were used optimally, while 10% were wasted or underutilised. Tanzania should continue mobilising domestic resources for health towards UHC, and reduce reliance on inequitable out-of-pocket payments and community-based health insurance. Policymakers must enhance resource allocation formulas, public financial management, and sub-national resource tracking to improve equity and efficiency in resource use.

Impact of the COVID-19 pandemic on type 2 diabetes care and factors associated with care disruption in Kenya and Tanzania.

BACKGROUND: The COVID-19 pandemic affected healthcare delivery globally, impacting care access and delivery of essential services. OBJECTIVES: We investigated the pandemic's impact on care for patients with type 2 diabetes and factors associated with care disruption in Kenya and Tanzania. METHODS: A cross-sectional study was conducted among adults diagnosed with diabetes pre-COVID-19. Data were collected in February-April 2022 reflecting experiences at two time-points, three months before and the three months most affected by the COVID-19 pandemic. A questionnaire captured data on blood glucose testing, changes in medication prescription and access, and healthcare provider access. RESULTS: We recruited 1000 participants (500/country). Diabetes care was disrupted in both countries, with 34.8% and 32.8% of the participants reporting change in place and frequency of testing in Kenya, respectively. In Tanzania, 12.4% and 17.8% reported changes in location and frequency of glucose testing, respectively. The number of health facility visits declined, 14.4% (p < 0.001) in Kenya and 5.6% (p = 0.001) in Tanzania. In Kenya, there was a higher likelihood of severe care disruption among insured patients (adjusted odds ratio [aOR] 1.56, 95% confidence interval [CI][1.05-2.34]; p = 0.029) and a lower likelihood among patients residing in rural areas (aOR, 0.35[95%CI, 0.22-0.58]; p < 0.001). Tanzania had a lower likelihood of severe disruption among insured patients (aOR, 0.51[95%CI, 0.33-0.79]; p = 0.003) but higher likelihood among patients with low economic status (aOR, 1.81[95%CI, 1.14-2.88]; p = 0.011). CONCLUSIONS: COVID-19 disrupted diabetes care more in Kenya than Tanzania. Health systems and emergency preparedness should be strengthened to ensure continuity of service provision for patients with diabetes.

Main findings: The COVID-19 pandemic disrupted diabetes care in Kenya and Tanzania resulting in changes in place and frequency of blood glucose testing, medication prescribed (less oral hypoglycaemics and more insulin), fewer health facility visits and more difficulty accessing healthcare providers.Added knowledge: This study quantifies the impact of the COVID-19 pandemic on diabetes care in Kenya and Tanzania, and describes the factors associated with care disruption in both countries.Global health impact for policy and action: Evidence on diabetes care disruption is useful in making plans and policies responsive to the needs of diabetes patients during pandemics or related emergency situations.

Policies for type 2 diabetes and non-communicable disease management during the COVID-19 pandemic in Kenya and Tanzania: a desk review and views of decision-makers.

BACKGROUND: The COVID-19 pandemic caused disruptions in care that adversely affected the management of non-communicable diseases (NCDs) globally. Countries have responded in various ways to support people with NCDs during the pandemic. This study aimed to identify policy gaps, if any, in the management of NCDs, particularly diabetes, during COVID-19 in Kenya and Tanzania to inform recommendations for priority actions for NCD management during any future similar crises. METHODS: We undertook a desk review of pre-existing and newly developed national frameworks, policy models and guidelines for addressing NCDs including type 2 diabetes. This was followed by 13 key informant interviews with stakeholders involved in NCD decision-making: six in Kenya and seven in Tanzania. Thematic analysis was used to analyse the documents. RESULTS: Seventeen guidance documents were identified (Kenya=10; Tanzania=7). These included pre-existing and/or updated policies/strategic plans, guidelines, a letter, a policy brief and a report. Neither country had comprehensive policies/guidelines to ensure continuity of NCD care before the COVID-19 pandemic. However, efforts were made to update pre-existing documents and several more were developed during the pandemic to guide NCD care. Some measures were put in place during the COVID-19 period to ensure continuity of care for patients with NCDs such as longer supply of medicines. Inadequate attention was given to monitoring and evaluation and implementation issues. CONCLUSION: Kenya and Tanzania developed and updated some policies/guidelines to include continuity of care in emergencies. However, there were gaps in the documents and between policy/guideline documents and practice. Health systems need to establish disaster preparedness plans that integrate attention to NCD care to enable them to better handle severe disruptions caused by emergencies such as pandemics. Such guidance needs to include contingency planning to enable adequate resources for NCD care and must also address evaluation of implementation effectiveness.

Catastrophic health care spending in managing type 2 diabetes before and during the COVID-19 pandemic in Tanzania.

COVID-19 disrupted health care provision and access and reduced household income. Households with chronically ill patients are more vulnerable to these effects as they access routine health care. Yet, a few studies have analysed the effect of COVID-19 on household income, health care access costs, and financial catastrophe due to health care among patients with type 2 diabetes (T2D), especially in developing countries. This study fills that knowledge gap. We used data from a cross-sectional survey of 500 people with T2D, who were adults diagnosed with T2D before COVID-19 in Tanzania (March 2020). Data were collected in February 2022, reflecting the experience before and during COVID-19. During COVID-19, household income decreased on average by 16.6%, while health care costs decreased by 0.8% and transport costs increased by 10.6%. The overall financing burden for health care and transport relative to household income increased by 32.1% and 45%, respectively. The incidences of catastrophic spending above 10% of household income increased by 10% (due to health care costs) and by 55% (due to transport costs). The incidences of catastrophic spending due to health care costs were higher than transport costs, but the relative increase was higher for transport than health care costs (10% vs. 55% change from pre-COVID-19). The likelihood of incurring catastrophic health spending was lower among better educated patients, with health insurance, and from better-off households. COVID-19 was associated with reduced household income, increased transport costs, increased financing burden and financial catastrophe among patients with T2D in Tanzania. Policymakers need to ensure financial risk protection by expanding health insurance coverage and removing user fees, particularly for people with chronic illnesses. Efforts are also needed to reduce transport costs by investing more in primary health facilities to offer quality services closer to the population and engaging multiple sectors, including infrastructure and transportation.

Re-aligning Incentives to Address Informal Payments in Tanzania Public Health Facilities: A Discrete Choice Experiment.

BACKGROUND: Informal payments for healthcare are typically regressive and limit access to quality healthcare while increasing risk of catastrophic health expenditure, especially in developing countries. Different responses have been proposed, but little is known about how they influence the incentives driving this behaviour. We therefore identified providers' preferences for policy interventions to overcome informal payments in Tanzania. METHODS: We undertook a discrete choice experiment (DCE) to elicit preferences over various policy options with 432 health providers in 42 public health facilities in Pwani and Dar es Salaam region. DCE attributes were derived from a multi-stage process including a literature review, qualitative interviews with key informants, a workshop with health stakeholders, expert opinions, and a pilot test. Each respondent received 12 unlabelled choice sets describing two hypothetical job-settings that varied across 6-attributes: mode of payment, supervision at facility, opportunity for private practice, awareness and monitoring, measures against informal payments, and incentive payments to encourage noninfraction. Mixed multinomial logit (MMNL) models were used for estimation. RESULTS: All attributes, apart from supervision at facility, significantly influenced providers' choices (P<.001). Health providers strongly and significantly preferred incentive payments for non-infraction and opportunities for private practice, but significantly disliked disciplinary measures at district level. Preferences varied across the sample, although all groups significantly preferred the opportunity to practice privately and cashless payment. Disciplinary measures at district level were significantly disliked by unit in-charges, those who never engaged in informal payments, and who were not absent from work for official trip. 10% salary top-up were preferred incentive by all, except those who engaged in informal payments and absent from work for official trip. CONCLUSION: Better working conditions, with improved earnings and career paths, were strongly preferred by all, different respondents groups had distinct preferences according to their characteristics, suggesting the need for adoption of tailored packages of interventions.

Developing the improved Community Health Fund in Tanzania: was it a fair process?

Tanzania developed its 2016-26 health financing strategy to address existing inequities and inefficiencies in its health financing architecture. The strategy suggested the introduction of mandatory national health insurance, which requires long-term legal, interministerial and parliamentary procedures. In 2017/18, improved Community Health Fund (iCHF) was introduced to make short-term improvements in coverage and financial risk protection for the informal sector. Improvements involved purchaser-provider split, portability of services, uniformity in premium and risk pooling at the regional level. Using qualitative methods and drawing on the policy analysis triangle framework (context, content, actors and process) and criteria for procedural fairness, we examined the decision-making process around iCHF and the extent to which it met the criteria for a fair process. Data collection involved a document review and key informant interviews (n = 12). The iCHF reform was exempt from following the mandatory legislative procedures, including processes for involving the public, for policy reforms in Tanzania. The Ministry of Health, leading the process, formed a technical taskforce to review evidence, draw lessons from pilots and develop plans for implementing iCHF. The taskforce included representatives from ministries, civil society organizations and CHF implementing partners with experience in running iCHF pilots. However, beneficiaries and providers were not included in these processes. iCHF was largely informed by the evidence from pilots and literature, but the evidence to reduce administrative cost by changing the oversight role to the National Health Insurance Fund was not taken into account. Moreover, the iCHF process lacked transparency beyond its key stakeholders. The iCHF reform provided a partial solution to fragmentation in the health financing system in Tanzania by expanding the pool from the district to regional level. However, its decision-making process underscores the significance of giving greater consideration to procedural fairness in reforms guided by technical institutions, which can enhance responsiveness, legitimacy and implementation.

Exploring the potential of village community banking as a community-based financing system for house improvements and malaria vector control in rural Tanzania.

House improvement is associated with remarkable reductions in indoor mosquito bites and disease incidences, even in typical rural houses. However, its exploitation remains extremely poor in Tanzania and other endemic countries due to limited financial resources. Nevertheless, village community banks (VICOBA), practiced in Tanzania for nearly two decades, have proven to provide financial services to rural communities that would otherwise not be able to get them from formal financial institutions. This study explored the need, opinion, and willingness of VICOBA members to use VICOBA platforms as a source of finance for improving local houses and eventually controlling mosquito-borne diseases. A mixed-methods approach was used in this study, whereby a survey was administered to 150 participants and twelve focus group discussions were done in three villages in Ulanga district, rural Tanzania. The FGDs comprised eight participants each, with equal representation of males and females. The FGD guide was used to probe the opinions of study participants on malaria transmission, housing condition improvements, and financial resources. About 99% of all participants indicated the urgent need to improve their houses to prevent mosquito bites and were willing to utilize VICOBA for improving their houses. In the focus group discussion, the majority of people who participated were also in need of improving their houses. All participants confirmed that they were at the highest risk of getting mosquito-borne diseases, and they were willing to use money that was either saved or borrowed from their VICOBA for housing improvements and vector control. A self-sustaining financial system destined for house improvement and related interventions against malaria and other mosquito-borne diseases is crucial. The community members were willing to use VICOBA as a source of finance for house improvement and disease control; however, there was limited knowledge and sensitization on how they could utilize VICOBA for disease control.

Supply-side factors influencing demand for facility-based delivery in Tanzania: a multilevel analysis.

BACKGROUND: Improving access to facility-based delivery care has the potential to reduce maternal and newborn deaths across settings. Yet, the access to a health facility for childbirth remains low especially in low-income settings. To inform evidence-based interventions, more evidence is needed especially accounting for demand- and supply-side factors influencing access to facility-based delivery care. We aimed to fill this knowledge gap using data from Tanzania. METHODS: We used data from a cross-sectional survey (conducted in January 2012) of 150 health facilities, 1494 patients and 2846 households with women who had given births in the last 12 months before the survey across 11 districts in three regions in Tanzania. The main outcome was the place of delivery (giving birth in a health facility or otherwise), while explanatory variables were measured at the individual woman and facility level. Given the hierarchical structure of the data and variance in demand across facilities, we used a multilevel mixed-effect logistic regression to explore the determinants of facility-based delivery care. RESULTS: Eighty-six percent of 2846 women gave birth in a health facility. Demand for facility-based delivery care was influenced more by demand-side factors (76%) than supply-side factors (24%). On demand-side factors, facility births were more common among women who were educated, Muslim, wealthier, with their first childbirth, and those who had at least four antenatal care visits. On supply-side factors, facility births were more common in facilities offering outreach services, longer consultation times and higher interpersonal quality. In contrast, facilities with longer average waiting times, longer travel times and higher chances of charging delivery fees had few facility births. CONCLUSIONS: Policy responses should aim for strategies to improve demand like health education to raise awareness towards care seeking among less educated groups and those with higher parity, reduce financial barriers to access (including time costs to reach and access care), and policy interventions to enhance interpersonal quality in service provision.

How can we elicit health workers' preferences for measures to reduce informal payments? A mixed methods approach to developing a discrete choice experiment in Tanzania.

OBJECTIVE: While discrete choice experiments (DCEs) have been used in other fields as a means of eliciting respondent preferences, these remain relatively new in studying corrupt practices in the health sector. This study documents and discusses the process of developing a DCE to inform policy measures aimed at addressing informal payments for healthcare in Tanzania. DESIGN: A mixed methods design was used to systematically develop attributes for the DCE. It involved five stages: a scoping literature review, qualitative interviews, a workshop with health providers and managers, expert review and a pilot study. SETTING: Dar es Salaam and Pwani regions in Tanzania. PARTICIPANTS: Health workers and health managers. RESULTS: A large number of factors were identified as driving informal payments in Tanzania and thus represent potential areas for policy intervention. Through iterative process involving different methods (qualitative and quantitative) and seeking consensus views by diverse actors, we derived six attributes for a DCE: mode of payment, supervision at the facility level, opportunity for private practice, awareness and monitoring, disciplinary measures against informal payments and incentive payment for staff if a facility has less informal payments. 12 choice sets were generated and piloted with 15 health workers from 9 health facilities. The pilot study revealed that respondents could easily understand the attributes and levels, answered all the choice sets and appeared to be trading between the attributes. The results from the pilot study had expected signs for all attributes. CONCLUSIONS: We elicited attributes and levels for a DCE to identify the acceptability and preferences of potential policy interventions to address informal payments in Tanzania through a mixed-methods approach. We argue that more attention is needed to the process of defining attributes for the DCE, which needs to be rigorous and transparent in order to derive reliable and policy-relevant findings.

Donor aid mentioning newborns and stillbirths, 2002-19: an analysis of levels, trends, and equity.

BACKGROUND: Global aid for reproductive, maternal, newborn, and child health has stagnated in recent years, and aid mentioning newborns or stillbirths has previously represented a very small proportion of aid for reproductive, maternal, newborn, and child health. Neonatal survival targets have been set by 78 countries, and stillbirth prevention targets have been set by 30 countries, to address the 4·4 million newborn deaths and stillbirths globally. We aimed to generate novel estimates of current levels of, and trends in, aid mentioning newborns and stillbirths over 2002-19, and to assess whether the amount of aid disbursed aligns with the associated mortality burden. METHODS: For this analysis, we did a manual review and coding of the Organisation for Economic Co-operation and Development (OECD)'s Creditor Reporting System database from 2002 to 2019 using key search terms for aid mentioning newborns and stillbirths. We compared these findings with estimates of aid for reproductive, maternal, newborn, and child health for 2002-19 based on the Muskoka2 method. Findings are presented in 2019 US$ according to the OECD's Development Assistance Committee deflators, which account for variation in exchange rates and inflation in donor countries. FINDINGS: We identified 21 957 unique records in the 2002-19 period. Aid mentioning newborns and stillbirths comprised approximately 10% ($1·6 billion) of reproductive, maternal, newborn, and child health funding overall in 2019 ($15·9 billion), with a small decrease in value between 2015 and 2019. 1284 (6%) of 21 957 records and 3·4% ($535 million) of their total value mentioned aid focused only on newborn health. Ten donors contributed 87% ($13·7 billion) of the total value of aid mentioning newborns and stillbirths during 2002-19. Aid mentioning newborns and stillbirths was inequitably allocated in the least developed countries (as defined by the UN), ranging from $18 per death in Angola to $1389 per death in Timor-Leste. Stillbirths were not mentioned in any funding in 2002-09, and they were only mentioned in 46 of 21 957 records in 2010-19, comprising $44·4 million of aid disbursed during this period. INTERPRETATION: Aid mentioning newborns and stillbirths is poorly matched to their corresponding mortality burden (representing 10% of aid for reproductive, maternal, newborn, and child health overall, yet accounting for approximately 50% of mortality in children <5 years) and across recipient countries (with substantial variation in the amount of aid received per newborn death and stillbirth between countries with similar health and economic needs). Our findings indicate that aid needs to be better targeted to populations with the highest mortality burdens, creating greater potential for impact. FUNDING: John D and Catherine T MacArthur Foundation, Bill & Melinda Gates Foundation, ELMA Philanthropies, Children's Investment Fund Foundation UK, Lemelson Foundation, and Ting Tsung and Wei Fong Chao Foundation. TRANSLATION: For the French translation of the abstract see Supplementary Materials section.

Assessment of strategic healthcare purchasing and financial autonomy in Tanzania: the case of results-based financing and health basket fund.

Background: Low-and middle-income countries (LMICs) are implementing health financing reforms toward Universal Health Coverage (UHC). In Tanzania direct health facility financing of health basket funds (DHFF-HBF) scheme was introduced in 2017/18, while the results-based financing (RBF) scheme was introduced in 2016. The DHFF-HBF involves a direct transfer of pooled donor funds (Health Basket Funds, HBF) from the central government to public primary healthcare-PHC (including a few selected non-public PHC with a service agreement) facilities bank accounts, while the RBF involves paying providers based on pre-defined performance indicators or targets in PHC facilities. We consider whether these two reforms align with strategic healthcare purchasing principles by describing and comparing their purchasing arrangements and associated financial autonomy. Methods: We used document review and qualitative methods. Key policy documents and articles related to strategic purchasing and financial autonomy were reviewed. In-depth interviews were conducted with health managers and providers (n = 31) from 25 public facilities, health managers (n = 4) in the Mwanza region (implementing DHFF-HBF and RBF), and national-level stakeholders (n = 2). In this paper, we describe and compare DHFF-HBF and RBF in terms of four functions of strategic purchasing (benefit specification, contracting, payment method, and performance monitoring), but also compare the degree of purchaser-provider split and financial autonomy. Interviews were recorded, transcribed verbatim, and analyzed using a thematic framework approach. Results: The RBF paid facilities based on 17 health services and 18 groups of quality indicators, whilst the DHFF-HBF payment accounts for performance on two quality indicators, six service indicators, distance from district headquarters, and population catchment size. Both schemes purchased services from PHC facilities (dispensaries, health centers, and district hospitals). RBF uses a fee-for-service payment adjusted by the quality of care score method adjusted by quality of care score, while the DHFF-HBF scheme uses a formula-based capitation payment method with adjustors. Unlike DHFF-HBF which relies on an annual general auditing process, the RBF involved more detailed and intensive performance monitoring including data before verification prior to payment across all facilities on a quarterly basis. RBF scheme had a clear purchaser-provider split arrangement compared to a partial arrangement under the DHFF-HBF scheme. Study participants reported that the RBF scheme provided more autonomy on spending facility funds, while the DHFF-HBF scheme was less flexible due to a budget ceiling on specific spending items. Conclusion: Both RBF and DHFF-HBF considered most of the strategic healthcare purchasing principles, but further efforts are needed to strengthen the alignment towards UHC. This may include further strengthening the data verification process and spending autonomy for DHFF-HBF, although it is important to contain costs associated with verification and ensuring public financial management around spending autonomy.