Health System Inputs Research Articles

Efficiency evaluation of 28 health systems by MCDA and DEA

BackgroundPolicymakers, who are constantly discussing growing health expenditures, should know whether the health system is efficient. We can provide them with such information through international health system efficiency evaluations. The main objectives of this study are: (a) to evaluate the efficiency of health systems in 28 developed countries by multiple-criteria decision analysis (MCDA) and data envelopment analysis (DEA) and (b) to identify reasonable benchmark countries for the Czech Republic, for which we collect information on the relative importance of health system inputs and outputs.MethodsWe used MCDA and DEA to evaluate the efficiency of the health systems of 28 developed countries. The models included four health system inputs (health expenditure as a relative share of GDP, the number of physicians, nurses, and hospital beds) and three health system outputs (life expectancy at birth, healthy life expectancy, and infant mortality rate). The sample covers 27 OECD countries and Russia, which is also included in the OECD database. To determine the input and output weights, we used a questionnaire sent to health policy experts in the Czech Republic.ResultsWe obtained subjective information on the relative importance of the health system inputs and outputs from 27 Czech health policy experts. We evaluated health system efficiency using four MCDA and two DEA models. According to the MCDA models, Turkey, Poland, and Israel were found to have efficient health systems. The Czech Republic ranked 16th, 19th, 15th, and 17th. The benchmark countries for the Czech Republic’s health system were Israel, Estonia, Luxembourg, Italy, the UK, Spain, Slovenia, and Canada. The DEA model with the constant returns to scale identified four technically efficient health systems: Turkey, the UK, Canada, and Sweden. The Czech Republic was found to be one of the worst-performing health systems. The DEA model with the variable returns to scale identified 15 technically efficient health systems. We found that efficiency results are quite robust. With two exceptions, the Spearman rank correlations between each pair of models were statistically significant at the 0.05 level.ConclusionsDuring the model formulation, we investigated the pitfalls of efficiency measurement in health care and used several practical solutions. We consider MCDA and DEA, above all, as exploratory methods, not methods providing definitive answers.

Nurturing transformative local structures of multisectoral collaboration for primary health care: qualitative insights from select states in India

BackgroundMultisectoral collaboration is essential for advancing primary health care (PHC). In low- and middle-income countries (LMICs), limited institutional capacities, governance issues, and inadequate stakeholder engagement impede multisectoral collaboration. India faces similar challenges, especially at the meso-level (districts and subdistricts). Owing to its dependence on context, and insufficient evidence, understanding “How” to improve multisectoral collaboration remains challenging. This study aims to elicit specific recommendations to strengthen meso-level stewardship in India for multisectoral collaboration. The findings from this study may offer lessons for other LMICs.MethodsUsing purposive, maximum variation sampling, the study team conducted semi-structured interviews with 20 diverse participants, including policymakers, implementers, development agency representatives, and academics experienced in multisectoral initiatives. The interviews delved into participants’ experiences, the current situation, enablers, and recommendations for enhancing stakeholder engagement and capacities at the meso-level for multisectoral collaboration.ResultsContext and power are critical elements to consider in fostering effective collaboration. Multisectoral collaboration was particularly successful in three distinct governance contexts: the social-democratic context as in Kerala, the social governance context in Chhattisgarh, and the public health governance context in Tamil Nadu. Adequate health system input and timely guidance instil confidence among local implementers to collaborate. While power plays a role through local leadership’s influence in setting agendas, convening stakeholders, and ensuring accountability. To nurture transformative local leaders for collaboration, holistic, equity-driven, community-informed approaches are essential. The study participants proposed several concrete steps: at the state level, establish “central management units” for supervising local implementers and ensuring bottom-up feedback; at the district level, rationalise committees and assign deliverables to stakeholders; and at the block level, expand convergence structures and involve local self-governments. Development partners can support data-driven priority setting, but local implementers with contextual familiarity should develop decentralised plans collaboratively, articulating rationales, activities, and resources. Finally, innovative training programs are required at all levels, fostering humility, motivation, equity awareness, leadership, problem- solving, and data use proficiency.ConclusionThis study offers multiple solutions to enhance local implementers’ engagement in multisectoral efforts, advocating for the development, piloting, and evaluation of innovative approaches such as the block convergence model, locally-led collaboration efforts, and novel training methods for local implementers.

Availability of basic infection control items and personal protection equipment in 7948 health facilities in eight low- and middle-income countries: Evidence from national health system surveys.

Hundreds of millions of people become infected globally every year while seeking care in health facilities that lack basic needs like infection control measures and personal protective equipment (PPE). We aimed to evaluate the availability of infection control items and PPE in eight low- and middle-income countries and identify disparities in the availability of those items. In this study, we combined publicly available nationally representative cross-sectional health system surveys (Service Provision Assessments by the Demographic and Health Survey Programme) conducted in eight countries between 2013 and 2018: Afghanistan, Bangladesh, the Democratic Republic of the Congo, Haiti, Malawi, Nepal, Senegal, and Tanzania. The availability of infection control items was evaluated using a list of six items (a waste receptacle, a sharps container, disinfectant, single-use disposable or auto-disposable syringes, soap and running water, or an alcohol-based hand rub, and guidelines for standard precautions). PPE includes four items: gloves, medical masks, gowns, and eye protection. We considered these items available in a facility if they were observed in general outpatient areas or any service-specific area (i.e. delivery room). We analysed data from 7948 health facilities (694 hospitals and 7254 health centres/clinics). Overall, among the infection control items and PPE, most surveyed facilities had high availability of single-use disposable or auto-disposable syringes (91.40%) and latex gloves (92.56%). Of infection control measures, guidelines for infection control were the least available during the survey, with the lowest (6.15%) in Nepal and the highest (68.18%) in Malawi. Of the PPE items, eye protection was the least available during the survey, with the lowest (5.4% in Senegal) and the highest (28.17%) in Haiti. Only 1567 (19.71%) facilities looked to have all the basic infection control materials, and 1023 (12.87%) of the analysed facilities possessed all of the PPE. Within the same country, the availability of items varied more between hospitals and health centres/clinics than between them. All eight of our study countries experience shortages of the most fundamental standard precaution items to avert infection. Steps must be taken in each of these countries to reduce inadequacies and disparities and enhance efficiency in the conversion of health-system inputs into the facility's availability of standard precaution items for infection control - to curb the risk of infectious disease transmission.

Providing continuity of care for people living with noncommunicable diseases in humanitarian settings: A qualitative study of health actors' experiences in Lebanon

ObjectiveThe burden of non-communicable diseases (NCDs) is increasing among populations living in humanitarian settings. Continuity of care (CoC) involves following an individual over time and across different levels of healthcare (management, longitudinal, informational and interpersonal continuity); it is an essential component of good quality, person-centred NCD care. Providing CoC is particularly challenging in humanitarian crises where health care access may be interrupted or restricted. This paper aimed to explore health actors’ experiences of continuity of hypertension and diabetes care for Syrian refugees and vulnerable Lebanese in Lebanon. MethodsWe conducted 20 in-depth qualitative interviews with health actors, including eleven with health care providers at four urban-based health facilities supported by international humanitarian agencies that provide NCD care to Syrian refugees and vulnerable Lebanese, one representative of a governmental institution, one international delegate and seven humanitarian actors. Thematic analysis, combining inductive and deductive approaches, was guided by a conceptual framework for NCD models of care in humanitarian settings. We reported our findings against the conceptual framework's domains relating to health system inputs and intermediate goals, reflecting on their impact on the domains of CoC. FindingsExisting health system weaknesses and novel challenges (the economic crisis, COVID-19 pandemic and Beirut blast) to continuity of NCD care were identified. Health system input challenges: governance and financing (weakened governance, limited central financing, historical dependence on local NGOs for primary healthcare, a dominant private sector), health workforce (exodus of health care providers from the public system), inconsistent medicines and equipment supplies, and limited health information systems (no unified system across institutions or levels of care, lack of formal referral systems, and inconsistent facility-level data collection) contributed to limited public primary care, poorly integrated within a fragile, pluralistic health system. These factors negatively impacted the intermediate health system goals of access, standardisation and quality of NCD care for Syrian refugee and Lebanese patients, and collectively hampered the management, longitudinal, informational and interpersonal continuity of NCD care in Lebanon. ConclusionWe recommend that humanitarian actors continue the work underway with the Lebanese Ministry of Public Health to align with and strengthen health system inputs, including supporting health governance through the accreditation process, exploring new funding mechanisms, strengthening the workforce via task sharing and training, supporting the medication supply chain, improving access to facilities and service quality, and supporting the development, standardisation and interoperability of referral and information systems. In combination, these elements will support better CoC for people living with hypertension and diabetes in Lebanon.

Measuring health equity in the ASEAN region: conceptual framework and assessment of data availability

BackgroundExisting research on health equity falls short of identifying a comprehensive set of indicators for measurement across health systems. Health systems in the ASEAN region, in particular, lack a standardised framework to assess health equity. This paper proposes a comprehensive framework to measure health equity in the ASEAN region and highlights current gaps in data availability according to its indicator components.MethodsA comprehensive literature review was undertaken to map out a core set of indicators to evaluate health equity at the health system level. Secondary data collection was subsequently conducted to assess current data availability for ASEAN states in key global health databases, national health accounts, and policy documents.ResultsA robust framework to measure health equity was developed comprising 195 indicators across Health System Inputs and Processes, Outputs, Outcomes, and Contextual Factors. Total indicator data availability equated to 72.9% (1423/1950). Across the ASEAN region, the Inputs and Processes sub-component of Health Financing had complete data availability for all indicators (160/160, 100%), while Access to Essential Medicine had the least data available (6/30, 20%). Under Outputs and Outcomes, Coverage of Selected Interventions (161/270, 59.63%) and Population Health (350/350, 100%) respectively had the most data available, while other indicator sub-components had little to none (≤ 38%). 72.145% (384/530) of data is available for all Contextual Factors. Out of the 10 ASEAN countries, the Philippines had the highest data availability overall at 77.44% (151/195), while Brunei Darussalam and Vietnam had the lowest data availability at 67.18% (131/195).ConclusionsThe data availability gaps highlighted in this study underscore the need for a standardised framework to guide data collection and benchmarking of health equity in ASEAN. There is a need to prioritise regular data collection for overlooked indicator areas and in countries with low levels of data availability. The application of this indicator framework and resulting data availability analysis could be conducted beyond ASEAN to enable cross-regional benchmarking of health equity.

Adapting Economic Evaluation Methods to Shifting Global Health Priorities: Assessing the Value of Health System Inputs

ObjectivesWe highlight the importance of undertaking value assessments for health system inputs if allocative efficiency is to be achieve with health sector resources, with a focus on low- and middle-income countries. However, methodological challenges complicated the application of current economic evaluation techniques to health system input investments. MethodsWe undertake a review of the literature to examine how assessments of investments in health system inputs have been considered to date, highlighting several studies that have suggested ways to address the methodological issues. Additionally, we surveyed how empirical economic evaluations of health system inputs have approached these issues. Finally, we highlight the steps required to move toward a comprehensive standardized framework for undertaking economic evaluations to make value assessments for investments in health systems. ResultsAlthough the methodological challenges have been illustrated, a comprehensive framework for value assessments of health system inputs, guiding the evidence required, does not exist. The applied literature of economic evaluations of health system inputs has largely ignored the issues, likely resulting in inaccurate assessments of cost-effectiveness. ConclusionsA majority of health sector budgets are spent on health system inputs, facilitating the provision of healthcare interventions. Although economic evaluation methods are a key component in priority setting for healthcare interventions, such methods are less commonly applied to decision making for investments in health system inputs. Given the growing agenda for investments in health systems, a framework will be increasingly required to guide governments and development partners in prioritizing investments in scarce health sector budgets.

Non-homogeneity in the efficiency evaluation of health systems

BackgroundAn international comparison of health system performance is a popular tool of health policy analysis. However, the efficiency evaluation of health systems is a practical example of an international comparison in which non-homogeneity is expected. The objective of this paper is to evaluate the efficiency of health systems by models in which a degree of non-homogeneity among countries is considered.MethodsWe study the problem of non-homogeneity of health systems in the theoretical framework of the data envelopment analysis (DEA), which is a popular method of efficiency evaluation with hundreds of applications from various fields. DEA assume the homogeneity of production units and the homogeneity of the environment in which the production units operate. Hence, we compiled a summary of 14 recommendations on how to deal with the non-homogeneity in the DEA models. The analysed sample includes 38 OECD member countries. The data are from the year 2019.ResultsAs an example, we evaluated the health system efficiency of the Czech Republic. We used the DEA models with the neighbourhood measure of distance and the constraint limiting the comparison of countries with different levels of economic development. The health system inputs were the numbers of physicians, nurses, and hospital beds. In the production of the intermediate outputs (doctor consultations, inpatient care discharges), the Czech Republic should look at Poland, Slovakia and Slovenia. In the production of health outcomes (life expectancy), the peer countries are France, Italy and Switzerland.ConclusionsThe results of the DEA analysis are only indicative because no single analytical method can determine whether a health system is better or worse than others. We need to combine different methods, and DEA is one of them. We consider DEA as an exploratory method, not a method providing definitive answers.

Tracking progress towards equitable maternal and child health in Yunnan: a systematic assessment for the Health Programme for Poverty Alleviation in China during 2015–2020

ObjectivesTo inform the impacts of health programmes which aimed at preventing women and children from being trapped in or returning to poverty because of illness in Yunnan, the main battlefield...

Successes and challenges towards improving quality of primary health care services: a scoping review

BackgroundQuality health services build communities’ and patients’ trust in health care. It enhances the acceptability of services and increases health service coverage. Quality primary health care is imperative for universal health coverage through expanding health institutions and increasing skilled health professionals to deliver services near to people. Evidence on the quality of health system inputs, interactions between health personnel and clients, and outcomes of health care interventions is necessary. This review summarised indicators, successes, and challenges of the quality of primary health care services.MethodsWe used the preferred reporting items for systematic reviews and meta-analysis extensions for scoping reviews to guide the article selection process. A systematic search of literature from PubMed, Web of Science, Excerpta Medica dataBASE (EMBASE), Scopus, and Google Scholar was conducted on August 23, 2022, but the preliminary search was begun on July 5, 2022. The Donabedian’s quality of care framework, consisting of structure, process and outcomes, was used to operationalise and synthesise the findings on the quality of primary health care.ResultsHuman resources for health, law and policy, infrastructure and facilities, and resources were the common structure indicators. Diagnosis (health assessment and/or laboratory tests) and management (health information, education, and treatment) procedures were the process indicators. Clinical outcomes (cure, mortality, treatment completion), behaviour change, and satisfaction were the common indicators of outcome. Lower cause-specific mortality and a lower rate of hospitalisation in high-income countries were successes, while high mortality due to tuberculosis and the geographical disparity in quality care were challenges in developing countries. There also exist challenges in developed countries (e.g., poor quality mental health care due to a high admission rate). Shortage of health workers was a challenge both in developed and developing countries.ConclusionsQuality of care indicators varied according to the health care problems, which resulted in a disparity in the successes and challenges across countries around the world. Initiatives to improve the quality of primary health care services should ensure the availability of adequate health care providers, equipped health care facilities, appropriate financing mechanisms, enhance compliance with health policy and laws, as well as community and client participation. Additionally, each country should be proactive in monitoring and evaluation of performance indicators in each dimension (structure, process, and outcome) of quality of primary health care services.

Laboratory services in the context of prevention of mother-to-child transmission of HIV testing requirements in Copperbelt Province, Zambia: a qualitative inquiry

IntroductionReliable and timely laboratory results are crucial for monitoring the Prevention of the Mother-to-Child Transmission (PMTCT) cascade, particularly to enable early HIV diagnosis and early intervention. We sought to explore whether and how laboratory services have been prepared to absorb new testing requirements following PMTCT Test-and-Treat policy changes in three districts of Zambia.MethodWe employed in-depth interviews and thematic data analysis, informed by the health system dynamic framework. Twenty-Six health workers were purposively selected and a document review of laboratory services in the context of PMTCT was undertaken. All face-to-face interviews were conducted in three local government areas in the Copperbelt Province (one urban and two rural) between February 2019 and July 2020. We extracted notes and markings from the transcripts for coding. Different codes were sorted into potential themes and the data extracted were put within the identified themes. Trustworthiness was confirmed by keeping records of all data field notes, transcripts, and reflexive journals.ResultsThe findings revealed that the health system inputs (infrastructure and supplies, human resources, knowledge, and information and finance) and service delivery were unequal between the rural and urban sites, and this affected the ability of health facilities to apply the new testing requirements, especially, in the rural-based health facilities. The major barriers identified include gaps in the capacity of the existing laboratory system to perform crucial PMTCT clinical and surveillance functions in a coordinated manner and insufficient skilled human resources to absorb the increased testing demands. The centralized laboratory system for HIV testing of mothers and exposed neonates meant facilities had to send specimens to other facilities and districts which resulted in high turnaround time and hence delayed HIV diagnosis.ConclusionNew guidelines implemented without sufficient capacitation of health system laboratory capacity severely limited the effectiveness of PMTCT program implementation. This study documented the areas relating to health system inputs and laboratory service delivery where greater support to enable the absorption of the new testing requirements is needed.

Facility-based care for moderately low birthweight infants in India, Malawi, and Tanzania.

Globally, increasing rates of facility-based childbirth enable early intervention for small vulnerable newborns. We describe health system-level inputs, current feeding, and discharge practices for moderately low birthweight (MLBW) infants (1500-<2500g) in resource-constrained settings. The Low Birthweight Infant Feeding Exploration study is a mixed methods observational study in 12 secondary- and tertiary-level facilities in India, Malawi, and Tanzania. We analyzed data from baseline facility assessments and a prospective cohort of 148 MLBW infants from birth to discharge. Anthropometric measuring equipment (e.g., head circumference tapes, length boards), key medications (e.g., surfactant, parenteral nutrition), milk expression tools, and human milk alternatives (e.g., donor milk, formula) were not universally available. MLBW infants were preterm appropriate-for-gestational age (38.5%), preterm large-for-gestational age (3.4%), preterm small-for-gestational age (SGA) (11.5%), and term SGA (46.6%). The median length of stay was 3.1 days (IQR: 1.5, 5.7); 32.4% of infants were NICU-admitted and 67.6% were separated from mothers at least once. Exclusive breastfeeding was high (93.2%). Generalized group lactation support was provided; 81.8% of mother-infant dyads received at least one session and 56.1% had 2+ sessions. At the time of discharge, 5.1% of infants weighed >10% less than their birthweight; 18.8% of infants were discharged with weights below facility-specific policy [1800g in India, 1500g in Malawi, and 2000g in Tanzania]. Based on descriptive analysis, we found constraints in health system inputs which have the potential to hinder high quality care for MLBW infants. Targeted LBW-specific lactation support, discharge at appropriate weight, and access to feeding alternatives would position MLBW for successful feeding and growth post-discharge.

Readiness of rural health facilities to provide immediate postpartum care in Uganda

BackgroundNearly 60% of maternal and 45% of newborn deaths occur within 24 h after delivery. Immediate postpartum monitoring could avert death from preventable causes including postpartum hemorrhage, and eclampsia among mothers, and birth asphyxia, hypothermia, and sepsis for babies. We aimed at assessing facility readiness for the provision of postpartum care within the immediate postpartum period.MethodsA cross-sectional study involving 40 health facilities within the greater Mpigi region, Uganda, was done. An adapted health facility assessment tool was employed in data collection. Data were double-entered into Epi Data version 4.2 and analyzed using STATA version 13 and presented using descriptive statistics.ResultsFacility readiness for the provision of postpartum care was low (median score 24% (IQR: 18.7, 26.7). Availability, and use of up-to-date, policies, guidelines and written clinical protocols for identifying, monitoring, and managing postpartum care were inconsistent across all levels of care. Lack of or non-functional equipment poses challenges for screening, diagnosing, and treating postnatal emergencies. Frequent stock-outs of essential drugs and supplies, particularly, hydralazine, antibiotics, oxygen, and blood products for transfusions were more common at health centers compared to hospitals. Inadequate human resources and sub-optimal supplies inhibit the proper functioning of health facilities and impact the quality of postpartum care. Overall, private not-for-profit health facilities had higher facility readiness scores.ConclusionsOur findings suggest sub-optimal rural health facility readiness to assess, monitor, and manage postpartum emergencies to reduce the risk of preventable maternal/newborn morbidity and mortality. Strengthening health system inputs and supply side factors could improve facility capacity to provide quality postpartum care.

Input, process, and output factors contributing to quality of antenatal care services: a scoping review of evidence

BackgroundHigh-quality antenatal care (ANC) provides a lifesaving opportunity for women and their newborns through providing health promotion, disease prevention, and early diagnosis and treatment of pregnancy-related health issues. However, systematically synthesised evidence on factors influencing the quality of ANC services is lacking. This scoping review aims to systematically synthesize the factors influencing in provision and utilisation of quality ANC services.MethodsWe conducted a scoping review of published evidence on the quality of ANC services. We searched records on four databases (PubMed, Scopus, Embase, and Google scholar) and grey literature from 1 to 2011 to 30 August 2021. We analysed data using Braun and Clarke’s thematic analysis approach. We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guideline for the review. We explained themes using the Donabedian healthcare quality assessment model (input-process-output).ResultsSeveral inputs- and process-related factors contributed to suboptimal quality of ANC in many low and lower- or middle-income countries. Input factors included facility readiness (e.g., lack of infrastructure, provision of commodities and supplies, health workforce, structural and intermediary characteristics of pregnant women, and service delivery approaches). Processes-related factors included technical quality of care (e.g., lack of skilled adequate and timely care, and poor adherence to the guidelines) and social quality (lack of effective communication and poor client satisfaction). These input and process factors have also contributed to equity gaps in utilisation of quality ANC services.ConclusionSeveral input and process factors influenced the provision and utilization of optimum quality ANC services. Better health system inputs (e.g., availability of trained workforces, commodities, guidelines, context-specific programs) are essential to creating enabling facility environment for quality ANC services. Care processes can be improved by ensuring capacity-building activities for workforces (training, technical support visits), and mentoring staff working at peripheral facilities. Identifying coverage of quality ANC services among disadvantaged groups could be the initial step in designing and implementing targeted program approaches.

Linking health system inputs, processes and outputs to identify medical deserts in Serbia

Abstract Background Medical deserts (regions where the population does not have adequate access to health care) indicate the failure of the health system to achieve the goals of improving the health of the population. Identifying medical deserts (MD) is far from simple. The aim of this study is to describe the approach to identification of medical deserts in Serbia using indicators for the health system inputs, processes and outputs. Methods We investigated the basic healthcare-related medical deserts using the indicators of primary health care centers’ inputs (accessibility: annual number of patients per physician), processes (performance: annual workload of patient visits per physician) and outputs (unmet needs: percentage of patients unable to access health services) in all 25 Serbian districts in 2020, using data of the Health Statistical Yearbook of the Republic of Serbia and the National Patient Satisfaction Survey of the Institute of Public Health. We developed a Multiple Criteria Scoring System (MCSS) incorporating the weighting and scoring of accessibility and performance for four types of physicians (general practitioners, pre-school pediatricians, youth pediatricians, and gynecologists) and five dimensions of unmet needs (financial reasons, waiting times, lack of personal time, long-distance and COVID-19). MCSS final scores 0 (none) - 100% (MDs on all indicators) are assessed using the regulatory norms. Results MDs partially overlap by different criteria: accessibility, 4-10 districts; performance, three districts; unmet needs: 2-5 districts. Top five medical deserts identified according to the MCSS are Mačvanski, Šumadijski, Moravički, Srednjebanatski, and Podunavski district. Conclusions Serbia has at least one MD per administrative region according to the objective normative indicators and patients’ subjective experiences. The study findings can be used to inform district stakeholders on how to use health workforce policy and planning to address medical deserts. Key messages • MCSS indicates potential medical deserts in 20% of all districts in the Republic of Serbia. • Evidence on poor health workforce accessibility and performance in light of the patient unmet healthcare needs could be used to inform stakeholders on medical deserts in the country.

Improving in-patient neonatal data quality as a pre-requisite for monitoring and improving quality of care at scale: A multisite retrospective cohort study in Kenya.

The objectives of this study were to (1)explore the quality of clinical data generated from hospitals providing in-patient neonatal care participating in a clinical information network (CIN) and whether data improved over time, and if data are adequate, (2)characterise accuracy of prescribing for basic treatments provided to neonatal in-patients over time. This was a retrospective cohort study involving neonates ≤28 days admitted between January 2018 and December 2021 in 20 government hospitals with an interquartile range of annual neonatal inpatient admissions between 550 and 1640 in Kenya. These hospitals participated in routine audit and feedback processes on quality of documentation and care over the study period. The study's outcomes were the number of patients as a proportion of all eligible patients over time with (1)complete domain-specific documentation scores, and (2)accurate domain-specific treatment prescription scores at admission, reported as incidence rate ratios. 80,060 neonatal admissions were eligible for inclusion. Upon joining CIN, documentation scores in the monitoring, other physical examination and bedside testing, discharge information, and maternal history domains demonstrated a statistically significant month-to-month relative improvement in number of patients with complete documentation of 7.6%, 2.9%, 2.4%, and 2.0% respectively. There was also statistically significant month-to-month improvement in prescribing accuracy after joining the CIN of 2.8% and 1.4% for feeds and fluids but not for Antibiotic prescriptions. Findings suggest that much of the variation observed is due to hospital-level factors. It is possible to introduce tools that capture important clinical data at least 80% of the time in routine African hospital settings but analyses of such data will need to account for missingness using appropriate statistical techniques. These data allow exploration of trends in performance and could support better impact evaluation, exploration of links between health system inputs and outcomes and scrutiny of variation in quality and outcomes of hospital care.

Redefining the health system: A proposed updated framework of a systems approach to health.

Defining the health system, as a multidimensional and complex structure, is challenging, and the existing definitions often fail to incorporate the various levels and functions involved in a single system definition. An ideal framework should be easy to evaluate, allow for comparison, and be divisible into smaller sub-systems for easier interpretation. This paper concisely explores a novel framework to perceive health systems. As in any system, it is important to accurately define the health system's input, process, and output, as the cornerstone of evaluating any system is to assess outputs with regard to inputs besides analyzing outcomes, impact, objectives, and values. Since the raison d'être of the health system is to improve health in society, it is proposed that the input can be considered as the population subject to the system's process, and the output as the population with improved health status. This paper also proposes defining support systems, whose input and output are needs and parts of the process in the main system, respectively. Example support systems include the health evidence production or education and development of human resources systems. Instead of considering all functions as part of the main system, this concept allows implementation and assessment of policies in various levels of health systems to be simplified, as each support system can be separately evaluated with clear functions.

Investigation of technical quality of antenatal and perinatal services in a nationally representative sample of health facilities in Nepal

BackgroundAccess to routine antenatal and perinatal services is improved in the last two decades in Nepal. However, gaps remain in coverage and quality of care delivered from the health facilities. This study investigated the delivery of technical quality antenatal and perinatal services from health facilities and their associated determinants in Nepal.MethodsData for this study were derived from the Nepal Health Facility Survey 2015. The World Health Organization's Service Availability and Readiness Assessment framework was adopted to assess the technical quality of antenatal and perinatal services of health facilities. Outcome variables included technical quality scores of i) 269 facilities providing antenatal services and ii) 109 facilities providing childbirth and postnatal care services (perinatal care). Technical quality scores of health facilities were estimated adapting recommended antenatal and perinatal interventions. Independent variables included locations and types of health facilities and their management functions (e.g., supervision). We conducted a linear regression analysis to identify the determinants of better technical quality of health services in health facilities. Beta coefficients were exponentiated into odds ratios (ORs) and reported with 95% confidence intervals (CIs). The significance level was set at p-value < 0.05.ResultsThe mean score of the technical quality of health facilities for each outcome variable (antenatal and perinatal services) was 0.55 (out of 1.00). Compared to province one, facilities of Madhesh province had 4% lower odds (adjusted OR = 0.96; 95%CI: 0.92, 0.99) of providing better quality antenatal services, while health facilities of Gandaki province had higher odds of providing better quality antenatal services (aOR = 1.05; 95% CI: 1.01, 1.10). Private facilities had higher odds (aOR = 1.13; 95% CI: 1.03, 1.23) of providing better quality perinatal services compared to public facilities.ConclusionsPrivate facilities provide better quality antenatal and perinatal health services than public facilities, while health facilities of Madhesh province provide poor quality perinatal services. Health system needs to implement tailored strategies, including recruiting health workers, supervision and onsite coaching and access to necessary equipment and medicine in the facilities of Madhesh province. Health system inputs (trained human resources, equipment and supplies) are needed in the public facilities. Extending the safe delivery incentive programme to the privately managed facilities could also improve access to better quality health services in Nepal.

Understanding geographical variations in health system performance: a population-based study on preventable childhood hospitalisations

ObjectiveTo investigate interdistrict variations in childhood ambulatory sensitive hospitalisation (ASH) over the years.DesignObservational population-based study over 2008–2018 using the Primary Health Organisation Enrolment Collection (PHO) and the National Minimum Dataset...

In-Facility Infant Feeding and Discharge Practices for Moderately Low Birthweight Newborns in 12 Hospitals Across India, Malawi, and Tanzania

ObjectivesGlobally, rates of facility-based childbirth have increased, enabling early intervention for vulnerable newborns. We describe health system-level inputs, current feeding practices, and discharge practices for moderately low birthweight (MLBW) infants (1500 to < 2500 g) in four resource-constrained settings.MethodsThe Low Birthweight Infant Feeding Exploration study is a mixed methods observational study in 12 secondary- and tertiary-level facilities in four sites in India, Malawi, and Tanzania. We analyzed data from facility assessments and a prospective observational cohort of 148 MLBW infants from birth to facility discharge.ResultsAcross the 12 facilities, availability of key equipment and supplies was variable. Anthropometric measuring equipment such as head circumference tapes was present in 8 out of 12 facilities and length boards in 7/12. Key medications were limited including surfactant (3/12) and parenteral nutrition (1/12). Feeding supports like milk expression tools were available in all 12 sites, but human milk alternatives (e.g., donor milk (1/12), formula (6/12)) was more limited. Infants were preterm appropriate/large-for-gestational age (41.9%), preterm small-for-gestational age (SGA) (11.5%), and term SGA (46.6%). Median length of stay was 3.1 days (IQR: 1.5, 5.7); 32.4% of infants were NICU-admitted and 67.6% were separated from mothers during admission. Health facilities successfully promoted exclusive breastfeeding with 93.2% of infants exclusively breastfed. Group lactation support was provided, albeit not universally. 81.8% of mother-infant dyads received 1 support session; 56.1% received 2 + support sessions. At discharge, 18.8% of infants were below the facility based weight policy minimum (1500g or 1800g) and 5.1% of all infants had lost more than 10% of their birthweight.ConclusionsConstrained health system inputs hinder provision of high quality care for MLBW infants. Targeted lactation support specific to LBW infants, and appropriate access to feeding alternatives are necessary to position MLBW infants for successful feeding and growth post-discharge.Funding SourcesBill & Melinda Gates Foundation.

Health and related indicators 2021

This chapter aims to provide a repository of data, focusing on the national and provincial levels, that describes the broad status of the South African health system (socio-demographic indicators and determinants and health status indicators, as well as health service indicators). Data were sourced primarily from national routine data sources, but also captured major surveys and global reports. The impact of the COVID-19 pandemic was viewed through multiple lenses. COVID-19 hastened the development of new or improved health information systems or modules to track both the disease and health system inputs and responses. Real-time reporting of incident cases, hospitalisations and mortality was enabled, including weekly estimates of the number of excess deaths associated with the pandemic. Ensuring that these innovations are retained after the pandemic will be important. COVID-19 has also emphasised the need to ensure that all data systems use a common unique identifier. COVID-19 has resulted in many collateral impacts on other aspects of health service delivery and outcomes, and selected examples were reported on, using routine data to illustrate the difference between expected and observed measures. Marked impacts were shown on the Primary Health Care utilisation rate and antenatal care, and on specific disease programmes, such as tuberculosis screening, testing and treatment initiation, HIV testing, antiretroviral therapy initiation and continuity of care. Less dramatic impacts on childhood immunisation coverage were evident from routine data. Community Health Workers have been a vital cadre in the response to COVID-19 and in mitigating disruptions to health service delivery as a result of the pandemic, yet their role in the health system is poorly documented and managed, since they are not included in the mainstream information systems. As South Africa transitions from a pandemic response to the means of managing COVID-19 as an endemic disease, a key task will be to retain what is most useful in health information systems and other innovations, and to ensure that these continue to contribute to the unfinished agenda of universal health coverage.