Health services utilization and out-of-pocket (OOP) expenditures in public and private facilities in Pakistan: an empirical analysis of the 2013-14 OOP health expenditure survey.

BACKGROUND: As low- and middle-income countries progress toward Universal Health Coverage, there is an increasing focus on measuring out-of-pocket (OOP) expenditure and health services utilization within countries. While there have been several reforms to improve health services coverage and financial protection in Pakistan, there is limited empirical research comparing OOP expenditure and health services utilization between public and private facilities and exploring their determinants, a knowledge gap addressed in this study. METHODS: We used data from 2013 to 14 OOP Health Expenditure Survey, a population-based household survey carried out for Pakistan's National Health Accounts. The analysis included 7969 encounters from 4293 households. We conducted bivariate analyses to describe patterns of care utilization, estimated annualized expenditures by type and sector of care, and assessed expenditure composition. We used multivariable logistic regression modeling to identify factors associated with sector of care and generalized linear model (GLM) with log link and gamma distribution to identify determinants of OOP expenditures stratified by type of care (inpatient and outpatient). RESULTS: Most encounters (82.5%) were in the private sector and were for outpatient visits (85%). Several public-private differences were observed in annualized expenditures and expenditure components. Logistic regression results indicate males, wealthier individuals, Punjab and Sindh residents, and those in smaller households were more likely to access private outpatient care. In the inpatient model, rural residents were more likely to use a private provider, while Khyber Pakhtunkhwa residents were less likely to use private care. GLM results indicate private sector inpatient expenditures were approximately PKR 6660 (USD 61.8) higher than public sector expenditures, but no public-private differences were observed for outpatient expenditures. Several demographic factors were significantly associated with outpatient and inpatient expenditures. Of note, expenditures increased with increasing wealth, decreased with increasing household size, and differed by province and region. CONCLUSIONS: This is the first study comprehensively investigating how healthcare utilization and OOP expenditures vary by sector, type of care, and socio-economic characteristics in Pakistan. The findings are expected to be particularly useful for the next phase of social health protection programs and supply side reforms, as they highlight sub-populations with higher OOP and private sector utilization.

The Use of Evidence-Informed Deliberative Processes for Designing the Essential Package of Health Services in Pakistan.

BACKGROUND: The Disease Control Priorities 3 (DCP3) project provides long-term support to Pakistan in the development and implementation of its universal health coverage essential package of health services (UHC-EPHS). This paper reports on the priority setting process used in the design of the EPHS during the period 2019-2020, employing the framework of evidence-informed deliberative processes (EDPs), a tool for priority setting with the explicit aim of optimising the legitimacy of decision-making in the development of health benefit packages. METHODS: We planned the six steps of the framework during two workshops in the Netherlands with participants from all DCP3 Pakistan partners (October 2019 and February 2020), who implemented these at the country level in Pakistan in 2019 and 2020. Following implementation, we conducted a semi-structured online survey to collect the views of participants in the UHC benefit package design about the prioritisation process. RESULTS: The key steps in the EDP framework were the installation of advisory committees (involving more than 150 members in several Technical Working Groups [TWGs] and a National Advisory Committee [NAC]), definition of decision criteria (effectiveness, cost-effectiveness, avoidable burden of disease, equity, financial risk protection, budget impact, socio-economic impact and feasibility), selection of interventions for evaluation (a total of 170), and assessment and appraisal (across the three dimensions of the UHC cube) of these interventions. Survey respondents were generally positive across several aspects of the priority setting process. CONCLUSION: Despite several challenges, including a partial disruption because of the COVID-19 pandemic, implementation of the priority setting process may have improved the legitimacy of decision-making by involving stakeholders through participation with deliberation, and being evidence-informed and transparent. Important lessons were learned that can be beneficial for other countries designing their own health benefit package such as on the options and limitations of broad stakeholder involvement.

Addressing the UHC Challenge Using the Disease Control Priorities 3 Approach: Lessons Learned and an Overview of the Pakistan Experience.

BACKGROUND: Pakistan developed its first national Essential Package of Health Services (EPHS) as a key step towards accelerating progress in achieving Universal Health Coverage (UHC). We describe the rationale, aims, the systematic approach followed to EPHS development, methods adopted, outcomes of the process, challenges encountered, and lessons learned. METHODS: EPHS design was led by the Ministry of National Health Services, Regulations & Coordination. The methods adopted were technically guided by the Disease Control Priorities 3 Country Translation project and existing country experience. It followed a participatory and evidence-informed prioritisation and decision-making processes. RESULTS: The full EPHS covers 117 interventions delivered at the community, health centre and first-level hospital platforms at a per capita cost of US$29.7. The EPHS also includes an additional set of 12 population-based interventions at US$0.78 per capita. An immediate implementation package (IIP) of 88 district-level interventions costing US$12.98 per capita will be implemented initially together with the population-based interventions until government health allocations increase to the level required to implement the full EPHS. Interventions delivered at the tertiary care platform were also prioritised and costed at US$6.5 per capita, but they were not included in the district-level package. The national EPHS guided the development of provincial packages using the same evidence-informed process. The government and development partners are in the process of initiating a phased approach to implement the IIP. CONCLUSION: Key ingredients for a successful EPHS design requires a focus on package feasibility and affordability, national ownership and leadership, and solid engagement of national stakeholders and development partners. Major challenges to the transition to implementation are to continue strengthening the national technical capacity, institutionalise priority setting and package design and its revision in ministries of health, address health system gaps and bridge the current gap in financing with the progressive increase in coverage towards 2030.

The Use of Evidence to Design an Essential Package of Health Services in Pakistan: A Review and Analysis of Prioritisation Decisions at Different Stages of the Appraisal Process.

BACKGROUND: Pakistan embarked on a process of designing an essential package of health services (EPHS) as a pathway towards universal health coverage (UHC). The EPHS design followed an evidence-informed deliberative process; evidence on 170 interventions was introduced along multiple stages of appraisal engaging different stakeholders tasked with prioritising interventions for inclusion. We report on the composition of the package at different stages, analyse trends of prioritised and deprioritised interventions and reflect on the trade-offs made. METHODS: Quantitative evidence on cost-effectiveness, budget impact, and avoidable burden of disease was presented to stakeholders in stages. We recorded which interventions were prioritised and deprioritised at each stage and carried out three analyses: (1) a review of total number of interventions prioritised at each stage, along with associated costs per capita and disability-adjusted life years (DALYs) averted, to understand changes in affordability and efficiency in the package, (2) an analysis of interventions broken down by decision criteria and intervention characteristics to analyse prioritisation trends across different stages, and (3) a description of the trajectory of interventions broken down by current coverage and cost-effectiveness. RESULTS: Value for money generally increased throughout the process, although not uniformly. Stakeholders largely prioritised interventions with low budget impact and those preventing a high burden of disease. Highly cost-effective interventions were also prioritised, but less consistently throughout the stages of the process. Interventions with high current coverage were overwhelmingly prioritised for inclusion. CONCLUSION: Evidence-informed deliberative processes can produce actionable and affordable health benefit packages. While cost-effective interventions are generally preferred, other factors play a role and limit efficiency.

Costing Interventions for Developing an Essential Package of Health Services: Application of a Rapid Method and Results From Pakistan.

BACKGROUND: The Federal Ministry of National Health Services, Regulations and Coordination (MNHSR&C) in Pakistan has committed to progress towards universal health coverage (UHC) by 2030 by providing an Essential Package of Health Services (EPHS). Starting in 2019, the Disease Control Priorities 3rd edition (DCP3) evidence framework was used to guide the development of Pakistan's EPHS. In this paper, we describe the methods and results of a rapid costing approach used to inform the EPHS design process. METHODS: A total of 167 unit costs were calculated through a context-specific, normative, ingredients-based, and bottom-up economic costing approach. Costs were constructed by determining resource use from descriptions provided by MNHSR&C and validated by technical experts. Price data from publicly available sources were used. Deterministic univariate sensitivity analyses were carried out. RESULTS: Unit costs ranged from 2019 US$ 0.27 to 2019 US$ 1478. Interventions in the cancer package of services had the highest average cost (2019 US$ 837) while interventions in the environmental package of services had the lowest (2019 US$ 0.68). Cost drivers varied by platform; the two largest drivers were drug regimens and surgery-related costs. Sensitivity analyses suggest our results are not sensitive to changes in staff salary but are sensitive to changes in medicine pricing. CONCLUSION: We estimated a large number of context-specific unit costs, over a six-month period, demonstrating a rapid costing method suitable for EPHS design.

Using costing to facilitate policy making towards Universal Health Coverage: findings and recommendations from country-level experiences.

As countries progress towards universal health coverage (UHC), they frequently develop explicit packages of health services compatible with UHC goals. As part of the Disease Control Initiative 3 Country Translation project, a systematic survey instrument was developed and used to review the experience of five low-income and lower-middle-income countries-Afghanistan, Ethiopia, Pakistan, Somalia and Sudan-in estimating the cost of their proposed packages. The paper highlights the main results of the survey, providing information about how costing exercises were conducted and used and what country teams perceived to be the main challenges. Key messages are identified to facilitate similar exercises and improve their usefulness. Critical challenges to be addressed include inconsistent application of costing methods, measurement errors and data reliability issues, the lack of adequate capacity building, and the lack of integration between costing and budgeting. The paper formulates four recommendations to address these challenges: (1) developing more systematic guidance and standard ways to implement costing methodologies, particularly regarding the treatment of health systems-related common costs, (2) acknowledging ranges of uncertainty of costing results and integrating sensitivity analysis, (3) building long-term capacity at the local level and institutionalising the costing process in order to improve both reliability and policy relevance, and (4) closely linking costing exercises to public budgeting.

Decision-making processes for essential packages of health services: experience from six countries.

Many countries around the world strive for universal health coverage, and an essential packages of health services (EPHS) is a central policy instrument for countries to achieve this. It defines the coverage of services that are made available, as well as the proportion of the costs that are covered from different financial schemes and who can receive these services. This paper reports on the development of an analytical framework on the decision-making process of EPHS revision, and the review of practices of six countries (Afghanistan, Ethiopia, Pakistan, Somalia, Sudan and Zanzibar-Tanzania).The analytical framework distinguishes the practical organisation, fairness and institutionalisation of decision-making processes. The review shows that countries: (1) largely follow a similar practical stepwise process but differ in their implementation of some steps, such as the choice of decision criteria; (2) promote fairness in their EPHS process by involving a range of stakeholders, which in the case of Zanzibar included patients and community members; (3) are transparent in terms of at least some of the steps of their decision-making process and (4) in terms of institutionalisation, express a high degree of political will for ongoing EPHS revision with almost all countries having a designated governing institute for EPHS revision.We advise countries to organise meaningful stakeholder involvement and foster the transparency of the decision-making process, as these are key to fairness in decision-making. We also recommend countries to take steps towards the institutionalisation of their EPHS revision process.

Assessing the Efficiency of Sub-National Units in Making Progress Towards Universal Health Coverage: Evidence from Pakistan.

The World Health Report 2010 encourages countries to reduce wastage and increase efficiency to achieve Universal Health Coverage (UHC). This research examines the efficiency of divisions (sub-provincial geographic units) in Pakistan in moving towards UHC using Data Envelop Analysis. We have used data from the Pakistan National Accounts 2011-12 and the Pakistan Social Living and Measurement Survey 2012-13 to measure per capita pooled public health spending in the divisions as inputs, and a set of UHC indicators (health service coverage and financial protection) as outputs. Sensitivity analysis for factors outside the health sector influencing health outcomes was conducted to refine the main model specification. Spider radar graphs were generated to illustrate differences between divisions with similar public spending but different performances for UHC. Pearson product-moment correlation was used to explore the strength and direction of the associations between proxy health systems organization variables and efficiency scores.The results showed a large variation in performance of divisions for selected UHC outputs. The results of the sensitivity analysis were also similar. Overall, divisions in Sindh province were better performing and divisions in Balochistan province were the least performing. Access to health care, the responsiveness of health systems, and patients' satisfaction were found to be correlated with efficiency scores.This research suggests that progress towards UHC is possible even at relatively low levels of public spending. Given the devolution of health system responsibilities to the provinces, this analysis will be a timely reference for provinces to gauge the performance of their divisions and plan the ongoing reforms to achieve UHC.