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Effective and sustainable strategies are needed to address the burden of preventable deaths among children under-five in resource-constrained settings. The Tools for Integrated Management of Childhood Illness (TIMCI) project aims to support healthcare providers to identify and manage severe illness, whilst promoting resource stewardship, by introducing pulse oximetry and clinical decision support algorithms (CDSAs) to primary care facilities in India, Kenya, Senegal and Tanzania. Health impact is assessed through: a pragmatic parallel group, superiority cluster randomised controlled trial (RCT), with primary care facilities randomly allocated (1:1) in India to pulse oximetry or control, and (1:1:1) in Tanzania to pulse oximetry plus CDSA, pulse oximetry, or control; and through a quasi-experimental pre-post study in Kenya and Senegal. Devices are implemented with guidance and training, mentorship, and community engagement. Sociodemographic and clinical data are collected from caregivers and records of enrolled sick children aged 0–59 months at study facilities, with phone follow-up on Day 7 (and Day 28 in the RCT). The primary outcomes assessed for the RCT are severe complications (mortality and secondary hospitalisations) by Day 7 and primary hospitalisations (within 24 hours and with referral); and, for the pre-post study, referrals and antibiotic. Secondary outcomes on other aspects of health status, hypoxaemia, referral, follow-up and antimicrobial prescription are also evaluated. In all countries, embedded mixed-method studies further evaluate the effects of the intervention on care and care processes, implementation, cost and cost-effectiveness. Pilot and baseline studies started mid-2021, RCT and post-intervention mid-2022, with anticipated completion mid-2023 and first results late-2023. Study approval has been granted by all relevant institutional review boards, national and WHO ethical review committees. Findings will be shared with communities, healthcare providers, Ministries of Health and other local, national and international stakeholders to facilitate evidence-based decision-making on scale-up. Study registration: NCT04910750 and NCT05065320

This study examines the impact of accredited social health activists (ASHAs), on increasing rates of institution-based deliveries among Indian women with a specific focus on the nine low-performing, empowered action group states and Assam (EAGA) in India. Using the latest round of the National Family Health Survey-V (2019-21), we first investigate the association between the use of ASHA services and socio-demographic attributes of women using a multivariate logistic regression. We then use propensity-score matching (PSM) to address observable selection bias in the data and assess the impact of ASHA services on the likelihood of institution-based deliveries using a generalized estimating equations model. Of the 232,920 women in our sample, 55.5% lived in EAGA states. Overall, 63.3% of women (70.6% in EAGA states) reported utilizing ASHA services, and 88.6% had an institution-based delivery (84.0% in EAGA states). Younger women from the poorest wealth index were more likely to use ASHA services and women in rural areas had a two-fold likelihood. Conversely, women with health insurance were less likely to use ASHA services compared to those without. Using PSM, the average treatment effect of using ASHA services on institution-based deliveries was 5.1% for all India (EAGA = 7.4%). The generalized estimating equations model indicated that the use of ASHA services significantly increased the likelihood of institution-based delivery by 1.6 times (95%CI = 1.5-1.7) for all India (EAGA = 1.8; 95%CI = 1.7-1.9). Our study finds that ASHAs are effective in enhancing the uptake of maternal services particularly institution-based deliveries. These findings underscore the necessity for continual, systematic investments to strengthen the ASHA program and to optimize the program's effectiveness in varied settings that rely on the community health worker model, thereby advancing child and maternal health outcomes.

Abstract Background Diagnostic investigations, including pathology and laboratory medicine (PALM) and radiology, have been largely absent from international strategies such as the Sustainable Development Goals. Further, there is little international guidance on which health system tiers different diagnostics should be placed, a critical step in developing a country-level diagnostics network. We describe a modeling strategy to produce tier-specific diagnostic recommendations based on disease burden, current treatment pathways, and existing infrastructure in a country. Methods The relational model assumes that diagnostics should be available at the lowest tier where patients might receive medical management. Using Ghana as an exemplar, the 20 diseases forecasted by 2030 and 2040 to cause the greatest burden in low- and middle-income countries were mapped to three generalized tiers in the Ghanaian health system (Primary, Secondary, and Tertiary care) for three levels of each disease (triage, uncomplicated, and complicated). The lowest tier at which a diagnostic could potentially be placed was restricted by existing infrastructure, though placement still required there be a medical justification for the diagnostic at that tier. Results The model recommended 111 unique diagnostic investigations with 17 at Primary tier, an additional 45 at Secondary tier and a further 49 at Tertiary tier. Estimated capital costs were $8,330 at Primary tier and between $571,000 to $777,000 at Secondary tier. Twenty-eight different laboratory tests were recommended as send-outs from Primary to Secondary tier, and twelve as send-outs to Tertiary tier. Conclusions This model provides a transparent framework within which countries can customize diagnostic planning to local disease priorities, health system patient treatment pathways, and infrastructural limitations to best support Universal Health Coverage.

The COVID-19 pandemic has disproportionately affected vulnerable populations. With its intensity expected to be cyclical over the foreseeable future, and much of the impact estimates still modeled, it is imperative that we accurately assess the impact to date, to help with the process of targeted rebuilding of services. We collected data from administrative health information systems in six South Asian countries (Afghanistan, Bangladesh, Nepal, India, Pakistan and Sri Lanka), to determine essential health services coverage disruptions between January-December 2020, and January-June 2021, compared to the same calendar months in 2019, and estimated the impact of this disruption on maternal and child mortality using the Lives Saved Tool. We also modelled impact of prolonged school closures on continued enrollment, as well as potential sequelae for the cohort of girls who have likely dropped out. Coverage of key maternal and child health interventions, including antenatal care and immunizations, decreased by up to 60%, with the largest disruptions observed between April and June 2020. This was followed by a period of recovery from July 2020 to March 2021, but a reversal of most of these gains in April/May 2021, likely due to the delta variant-fueled surge in South Asia at the same time. We estimated that disruption of essential health services between January 2020 and June 2021 potentially resulted in an additional 19,000 maternal and 317,000 child deaths, an increase of 19% and 13% respectively, compared to 2019. Extended school closures likely resulted in 9 million adolescents dropping out permanently, with 40% likely being from poorest households, resulting in decreased lifetime earnings. A projected increase in early marriages for girls who dropped out could result in an additional 500,000 adolescent pregnancies, 153,000 low birthweight births, and 27,000 additional children becoming stunted by age two years. To date, the increase in maternal and child mortality due to health services disruption has likely exceeded the overall number of COVID-19 deaths in South Asia. The indirect effects of the pandemic were disproportionately borne by the most vulnerable populations, and effects are likely to be long-lasting, permanent and in some cases inter-generational, unless policies aimed at alleviating these impacts are instituted at scale and targeted to reach the poorest of the poor. There are also implications for future pandemic preparedness.

The COVID-19 pandemic has disproportionately affected vulnerable populations. With its intensity expected to be cyclical over the foreseeable future, and much of the impact estimates still modeled, it is imperative that we accurately assess the impact to date, to help with the process of targeted rebuilding of services. We collected data from administrative health information systems in six South Asian countries (Afghanistan, Bangladesh, Nepal, India, Pakistan and Sri Lanka), to determine essential health services coverage disruptions between January–December 2020, and January–June 2021, compared to the same calendar months in 2019, and estimated the impact of this disruption on maternal and child mortality using the Lives Saved Tool. We also modelled impact of prolonged school closures on continued enrollment, as well as potential sequelae for the cohort of girls who have likely dropped out. Coverage of key maternal and child health interventions, including antenatal care and immunizations, decreased by up to 60%, with the largest disruptions observed between April and June 2020. This was followed by a period of recovery from July 2020 to March 2021, but a reversal of most of these gains in April/May 2021, likely due to the delta variant-fueled surge in South Asia at the same time. We estimated that disruption of essential health services between January 2020 and June 2021 potentially resulted in an additional 19,000 maternal and 317,000 child deaths, an increase of 19% and 13% respectively, compared to 2019. Extended school closures likely resulted in 9 million adolescents dropping out permanently, with 40% likely being from poorest households, resulting in decreased lifetime earnings. A projected increase in early marriages for girls who dropped out could result in an additional 500,000 adolescent pregnancies, 153,000 low birthweight births, and 27,000 additional children becoming stunted by age two years. To date, the increase in maternal and child mortality due to health services disruption has likely exceeded the overall number of COVID-19 deaths in South Asia. The indirect effects of the pandemic were disproportionately borne by the most vulnerable populations, and effects are likely to be long-lasting, permanent and in some cases inter-generational, unless policies aimed at alleviating these impacts are instituted at scale and targeted to reach the poorest of the poor. There are also implications for future pandemic preparedness.

Shigellosis is a leading cause of diarrhea and dysentery in young children from low to middle-income countries and adults experiencing traveler’s diarrhea worldwide. In addition to acute illness, infection by Shigella bacteria is associated with stunted growth among children, which has been linked to detrimental long-term health, developmental, and economic outcomes. On March 24 and 29, 2021, PATH convened an expert panel to discuss the potential impact of Shigella vaccines on these long-term outcomes. Based on current empirical evidence, this discussion focused on whether Shigella vaccines could potentially alleviate the long-term burden associated with Shigella infections. Also, the experts provided recommendations about how to best model the burden, health and vaccine impact, and economic consequences of Shigella infections. This international multidisciplinary panel included 13 scientists, physicians, and economists from multiple relevant specialties.According to the panel, while the relationship between Shigella infections and childhood growth deficits is complex, this relationship likely exists. Vaccine probe studies are the crucial next step to determine whether vaccination could ameliorate Shigella infection-related long-term impacts. Infants should be vaccinated during their first year of life to maximize their protection from severe acute health outcomes and ideally reduce stunting risk and subsequent negative long-term developmental and health impacts. With vaccine schedule crowding, targeted or combination vaccination approaches would likely increase vaccine uptake in high-burden areas. Shigella impact and economic assessment models should include a wider range of linear growth outcomes. Also, these models should produce a spectrum of results—ones addressing immediate benefits for usual health care decision-makers and others that include broader health impacts, providing a more comprehensive picture of vaccination benefits. While many of the underlying mechanisms of this relationship need better characterization, the remaining gaps can be best addressed by collecting data post-vaccine introduction or through large trials.

Summary: Background: Pathology and laboratory medicine diagnostics and diagnostic imaging are crucial to achieving universal health coverage. We analysed Service Provision Assessments (SPAs) from ten low-income and middle-income countries to benchmark diagnostic availability. Methods: Diagnostic availabilities were determined for Bangladesh, Haiti, Malawi, Namibia, Nepal, Kenya, Rwanda, Senegal, Tanzania, and Uganda, with multiple timepoints for Haiti, Kenya, Senegal, and Tanzania. A smaller set of diagnostics were included in the analysis for primary care facilities compared with those expected at hospitals, with 16 evaluated in total. Surveys spanned 2004–18, including 8512 surveyed facilities. Country-specific facility types were mapped to basic primary care, advanced primary care, or hospital tiers. We calculated percentages of facilities offering each diagnostic, accounting for facility weights, stratifying by tier, and for some analyses, region. The tier-level estimate of diagnostic availability was defined as the median of all diagnostic-specific availabilities at each tier, and country-level estimates were the median of all diagnostic-specific availabilities of each of the tiers. Associations of country-level diagnostic availability with country income as well as (within-country) region-level availability with region-specific population densities were determined by multivariable linear regression, controlling for appropriate covariates including tier. Findings: Median availability of diagnostics was 19·1% in basic primary care facilities, 49·2% in advanced primary care facilities, and 68·4% in hospitals. Availability varied considerably between diagnostics, ranging from 1·2% (ultrasound) to 76·7% (malaria) in primary care (basic and advanced) and from 6·1% (CT scan) to 91·6% (malaria) in hospitals. Availability also varied between countries, from 14·9% (Bangladesh) to 89·6% (Namibia). Availability correlated positively with log(income) at both primary care tiers but not the hospital tier, and positively with region-specific population density at the basic primary care tier only. Interpretation: Major gaps in diagnostic availability exist in many low-income and middle-income countries, particularly in primary care facilities. These results can serve as a benchmark to gauge progress towards implementing guidelines such as the WHO Essential Diagnostics List and Priority Medical Devices initiatives. Funding: Bill & Melinda Gates Foundation.

Background Important information about medical laboratory providers is not readily available to all patients, clinicians nor regulators in Kenya. This study was conducted as part of a wider project aiming to improve access to high quality diagnostics by addressing information asymmetries in the Kenyan market for laboratory services. Objectives The purpose of this study was to: 1) Gather pricing information for 49 common laboratory tests from medical laboratories in Nairobi, Kenya, noting where these prices were publicly available or withheld. 2) Assess patients’ knowledge of testing information including: turnaround time, price, and test availability. Method This was a cross-sectional study where a mystery caller approach was used to survey 49 tests for turnaround time, price, and availability across 13 laboratories selected purposively. The mystery shopper survey was complemented by 251 patient exit interviews at two Kenyan hospitals to understand whether patients seeking laboratory tests in Nairobi had access to such information. All 251 patients were selected by convenience sampling. Results We noted that 85% of the private laboratories did not disclose test prices and turnaround times to their patients. There was a wide range of prices on several key tests, with private in-facility laboratories charging an average test price of 468% of the average test price in public laboratories across all the 49 tests. We also found that many patients lacked key information regarding the tests they needed: 65% did not know the purpose of the test while 41% did not know the test price at all. Conclusion Under the current system, patients have limited access to information regarding the key criteria required to make a rational decision. This has a significant impact on the quality, price, and turnaround time (TAT) offered by the medical laboratories that operate in this dysfunctional market.

Introduction Decisions regarding the geographical placement of healthcare services require consideration of trade-offs between equity and efficiency, but few empirical assessments are available. We applied a novel geospatial framework to study these trade-offs in four African countries.Methods Geolocation data on population density (a surrogate for efficiency), health centres and cancer referral centres in Kenya, Malawi, Tanzania and Rwanda were obtained from online databases. Travel time to the closest facility (a surrogate for equity) was estimated with 1 km resolution using the Access Mod 5 least cost distance algorithm. We studied associations between district-level average population density and travel time to closest facility for each country using Pearson’s correlation, and spatial autocorrelation using the Global Moran’s I statistic. Geographical clusters of districts with inefficient resource allocation were identified using the bivariate local indicator of spatial autocorrelation.Results Population density was inversely associated with travel time for all countries and levels of the health system (Pearson’s correlation range, health centres: −0.89 to −0.71; cancer referral centres: −0.92 to −0.43), favouring efficiency. For health centres, negative spatial autocorrelation (geographical clustering of dissimilar values of population density and travel time) was weaker in Rwanda (−0.310) and Tanzania (−0.292), countries with explicit policies supporting equitable access to rural healthcare, relative to Kenya (−0.579) and Malawi (−0.543). Stronger spatial autocorrelation was observed for cancer referral centres (Rwanda: −0.341; Tanzania: −0.259; Kenya: −0.595; Malawi: −0.666). Significant geographical clusters of sparsely populated districts with long travel times to care were identified across countries.Conclusion Negative spatial correlations suggested that the geographical distribution of health services favoured efficiency over equity, but spatial autocorrelation measures revealed more equitable geographical distribution of facilities in certain countries. These findings suggest that even when prioritising efficiency, thoughtful decisions regarding geographical allocation could increase equitable physical access to services.

Purpose: The purpose of this new resource-stratified guideline is to provide expert guidance to clinicians and policymakers on implementing palliative care of patients with cancer and their caregivers in resource-constrained settings and is intended to complement the Integration of Palliative Care Into Standard Oncology Care: American Society of Clinical Oncology Clinical Practice Guideline Update of 2016. Methods: ASCO convened a multidisciplinary, multinational panel of experts in medical oncology, family medicine, radiation oncology, hematology/oncology, palliative and/or hospice care, pain and/or symptom management, patient advocacy, public health, and health economics. Guideline development involved a systematic literature review, a modified ADAPTE process, and a formal consensus-based process with the Expert Panel and additional experts (consensus ratings group). Results: The systematic review included 48 full-text publications regarding palliative care in resource-constrained settings, along with cost-effectiveness analyses; the evidence for many clinical questions was limited. These provided indirect evidence to inform the formal consensus process, which resulted in agreement of ≥ 75% (by consensus ratings group including Expert Panel). Recommendations: The recommendations help define the models of care, staffing requirements, and roles and training needs of team members in a variety of resource settings for palliative care. Recommendations also outline the standards for provision of psychosocial support, spiritual care, and opioid analgesics, which can be particularly challenging and often overlooked in resource-constrained settings. Additional information is available at www.asco.org/resource-stratified-guidelines.It is the view of ASCO that health care providers and health care system decision makers should be guided by the recommendations for the highest stratum of resources available. The guideline is intended to complement but not replace local guidelines.

Purpose: Access to diagnostics is vital for clinical decision-making but is rarely prioritized in national health services strategic plans (NHSSPs)[1]. Materials and Methods: An analysis was conducted of the inclusion of medical imaging as well as laboratory medicine in current NHSSPs for both low-income countries (LICs) and lower- middle-income countries (LMICs). NHSSPs of 79 countries were examined for the inclusion of key terms relevant to imaging and laboratory medicine. Results: Current and electronically available NHSSPs were found for 33 countries, 14 from LICs and 19 from LMICs. Terminology related to imaging was referenced in very few of the plans, and terminology related to laboratory medicine only slightly more. Imaging or laboratory workforce was discussed in 7% and 8% of the NHSSPs respectively. Imaging equipment, technology, or infrastructure was mentioned in 11% of NHSSPs compared to 19% that referenced “laboratory.” Information on key performance indicators and budgeting relating to imaging and laboratory were included in 12% and 21% of NHSSPs respectively. No countries referred to national radiology plans, and only three (Sierra Leone, Haiti, and Zambia) mentioned national laboratory plans. Diagnostics services are not well covered in NHSSPs and imaging is particularly disadvantaged. Conclusion: The absence of medical imaging in NHSSPs makes it less likely that these services will be incorporated into policy and then funded, hence limiting the success of Universal Health Coverage by 2030. The inclusion of imaging in the World Health Organization Essential Diagnostics List is a critical step to addressing inadequate services.

IntroductionA major barrier to improving childhood cancer survival is the perception that paediatric oncology services are too costly for low-income and middle-income country (LMIC) health systems. We conducted a systematic review to synthesise existing evidence on the costs and cost-effectiveness of treating childhood cancers in LMICs.MethodsWe searched multiple databases from their inception to March 2019. All studies reporting costs or cost-effectiveness of treating any childhood cancer in an LMIC were included. We appraised included articles using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. Where possible, we extracted or calculated the cost per disability-adjusted life year (DALY) averted using reported survival and country-specific life expectancy. Cost/DALY averted was compared with per capita gross domestic product (GDP) as per WHO-Choosing Interventions that are Cost-Effective guidelines to determine cost-effectiveness.ResultsOf 2802 studies identified, 30 met inclusion criteria. Studies represented 22 countries and nine different malignancies. The most commonly studied cancers were acute lymphoblastic leukaemia (n=10), Burkitt lymphoma (n=4) and Wilms tumour (n=3). The median CHEERS checklist score was 18 of 24. Many studies omitted key cost inputs. Notably, only 11 studies included healthcare worker salaries. Cost/DALY averted was extracted or calculated for 12 studies and ranged from US$22 to US$4475, although the lower-end costs were primarily from studies that omitted key cost components. In all 12, cost/DALY averted through treatment was substantially less than country per capita GDP, and therefore considered very cost-effective.ConclusionMany included studies did not account for key cost inputs, thus underestimating true treatment costs. Costs/DALY averted were nonetheless substantially lower than per capita GDP, suggesting that even if all relevant inputs are included, LMIC childhood cancer treatment is consistently very cost-effective. While additional rigorous economic evaluations are required, our results can inform the development of LMIC national childhood cancer strategies.

Purpose: This research aims to understand key problems and identify possible solutions in the market for radiology equipment in low- and middle-income countries. Methods and Materials: This paper uses simple descriptive statistics to summarize the results of responses from 574 radiologists from 52 countries surveyed in April-May 2017, and 15 hardware and software vendors from six countries surveyed in September-October 2017. Results: Radiologists surveyed came from both public and private sectors and were drawn from Radiological Society of North America (RSNA) members who, according to the survey results, appear to represent sites with more advanced technology. Virtually all the radiologists worked at sites where both X-ray and ultrasound were available, and the overwhelming majority (93%) had access to CT. Digital technology has gone worldwide: radiologists in all countries reported that digital radiography was either equally or more available than analog technologies. Sixty percent of radiologists said that they were “always” or “often” involved in the purchasing decisions in their institutions, but only 35% reported that they had the final say. According to the radiologists surveyed, the era of donated equipment is ending. Ninety-five percent felt that the disadvantages of donated equipment outweighed the cost savings. Training was a key concern both for radiologists and vendors. Radiologists felt that training was insufficient, materials left behind too complicated, online materials too limited, and follow-up from vendors insufficient. Vendors pointed out that the bidding process often excluded the cost of training and support and that many purchases are made through local distributors and they lack direct contact with vendors. Conclusion: While digital radiology is spreading throughout the surveyed countries, access to advanced imaging remains limited. Donated equipment is no longer a major solution to limited equipment availability. There is an opportunity for vendors and radiologists to work together to ensure that training, service and support are always included in purchases.

Cost-effectiveness rankings of health interventions are useful inputs for national healthcare planning and budgeting. Previous comprehensive rankings for low- and middle- income countries were undertaken in 2005 and 2006, accompanying the development of strategies for the Millennium Development Goals. We update the rankings using studies published since 2000, as strategies are being considered for the Sustainable Development Goals.Expert systematic searches of the literature were undertaken for a broad range of health interventions. Cost-effectiveness results using Disability Adjusted Life-Years (DALYs) as the health outcome were standardized to 2012 US dollars.149 individual studies of 93 interventions qualified for inclusion. Interventions for Reproductive, Maternal, Newborn and Child Health accounted for 37% of interventions, and major infectious diseases (AIDS, TB, malaria and neglected tropical diseases) for 24%, consistent with the priorities of the Millennium Development Goals. More than half of the interventions considered cost less than $200 per DALY and hence can be considered for inclusion in Universal Health Care packages even in low-income countries.Important changes have occurred in rankings since 2006. Priorities have changed as a result of new technologies, new methods for changing behavior, and significant price changes for some vaccines and drugs. Achieving the Sustainable Development Goals will require LMICs to study a broader range of health interventions, particularly in adult health. Some interventions are no longer studied, in some cases because they have become usual care, in other cases because they are no longer relevant. Updating cost-effectiveness rankings on a regular basis is potentially a valuable exercise.

This paper examines the opportunities for nutritional investments in nine low-income Asian countries, where current levels of malnutrition are high and declining only slowly. Income growth alone is not sufficient to reduce malnutrition. The economic costs of malnutrition in the region are high, accounting for as many as 2.8 million child deaths and 65,000 maternal deaths annually. Productivity losses can be conservatively estimated to be at least 2-3 percent of GDP annually. Nutrition investments are very cost-effective. Micronutrient interventions and breastfeeding promotion are as cost-effective as basic child survival initiatives, and education/ supplementation programs are as cost-effective as antenatal care. Priority interventions in the region include: strengthening monitoring of salt iodization (and extension of the program to Cambodia); extension of coverage of vitamin A mass dose, establishing vitamin A fortification programs, and enforcing existing legislation; establishing iron fortification and intensifying coverage of iron supplementation to pregnant women; promotion of best practice in breastfeeding; water and sanitation investments in selected regions; and building on successful community-based nutrition programs.