A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra Leone.

Sierra Leone is among the countries that recorded high under-five child mortality rate in the world. To design and implement policies that can address this public health challenge, the present study developed a predictive model of factors that explained under-five mortality in Sierra Leone using the 2008 and 2013 Sierra Leone Demographic and Health Survey (SDHS) datasets. LASSO regression technique was used to select the predictors to build the under-five predictive single-level logit and multilevel logit models. Statistical analyses were performed in the R freeware version 3.6.1. About 588 (10.4%) and 1320 (11.1%) children under five were reported dead in 2008 and 2013, respectively. The significant predictors of under-five mortality in Sierra Leone were the total number of children ever born, number of children under five in the household, mother's birth in the last five years, mother's number of living children, and number of household members, household wealth, maternal contraceptive use and intention, number of eligible women in the household, type of toilet facility, sex of the child, and weight of the child at birth. The study identified certain predictors that deserve policy attention and interventions to strengthen the efforts of creating child welfare and survival atmosphere in Sierra Leone

Implementation barriers and remedial strategies for community-based health insurance in Bangladesh : insights from national stakeholders

Background: Community-based health insurance (CBHI) is a part of the health system in Bangladesh, and overcoming the obstacles of CBHI is a significant policy concern that has received little attention. The purpose of this study is to analyze the implementation barriers of voluntary CBHI schemes in Bangladesh and the strategies to overcome these barriers from the perspective of national stakeholders. Methods: This study is exploratory qualitative research, specifically case study design, using key informant interviews to investigate the barriers of CBHI that are faced during the implementation. Using a topic guide, we conducted thirteen semi-structured in-depth interviews with key stakeholders directly involved in the CBHI implementation process. The data were analyzed using the Framework analysis method. Results: The implementation of CBHI schemes in Bangladesh is being constrained by several issues, including inadequate population coverage, adverse selection and moral hazard, lack of knowledge about health insurance principles, a lack of external assistance, and insufficient medical supplies. Door-to-door visits by local community-health workers, as well as regular promotional and educational campaigns involving community influencers, were suggested by stakeholders as ways to educate and encourage people to join the schemes. Stakeholders emphasized the necessity of external assistance and the design of a comprehensive benefits package to attract more people. They also recommended adopting a public–private partnership with a belief that collaboration among the government, microfinance institutions, and cooperative societies will enhance trust and population coverage in Bangladesh. Conclusions: Our research concludes that systematically addressing implementation barriers by including key stakeholders would be a significant reform to the CBHI model, and could serve as a foundation for the planned national health protection scheme for Bangladesh leading to universal health coverage

Complex samples logistic regression analysis of predictors of the current use of modern contraceptive among married or in-union women in Sierra Leone: Insight from the 2013 demographic and health survey.

BACKGROUND:Non-use of modern contraceptives among married or in-union women aged 15 to 49 years is a demographic and public health challenge. Studies on the predictors of contraceptive use among women in Sierra Leone are few, more than two decades old, and not nationally representative. This study aims to fill this gap by estimating the prevalence and the predictors of the current use of modern contraceptives among married or in-union women in Sierra Leone. METHODS:This is a population-based study that used the 2013 Sierra Leone Demographic and Health Survey (SDHS) dataset. We performed complex samples logistic regression with 9,111 reproductive-age women. The analysis was done using the IBM SPSS Statistics version 21, and statistical significance was pegged at p≤0.01 and p≤0.05. The outcome of interest is the current use of modern contraceptives among reproductive-age married or in-union women in Sierra Leone, measured as 'Yes' (currently using a modern method) and 'No' (using a folkloric method, traditional method, and no method). RESULTS:About 18.1% of reproductive-age women were currently using a modern contraceptive. The study found the following sociodemographic factors as positive correlates: being within the age group of 20-24 years [AOR = 1.52, CI: 1.05, 2.19], 25-29 years [AOR = 1.57, CI: 1.10, 2.19], 30-34 years [AOR = 2.31, CI: 1.59, 3.36], 35-39 years [AOR = 1.89, CI: 1.33, 2.70], 40-44 years [AOR = 1.68, CI: 1.12, 2.52], obtaining either a primary [AOR = 1.40, CI: 1.14, 1.71] or secondary level education [AOR = 1.34, CI: 1.02, 1.74], belonging to the category of women that condemned wife beating under only one condition [AOR = 1.37, CI: 1.03, 1.78], under two conditions [AOR = 1.45, CI: 1.08, 1.93], under three conditions [AOR = 1.73, CI: 1.28, 2.35], under four conditions [AOR = 1.91, CI: 1.34, 2.72], and under five conditions [AOR = 1.41, CI: 1.07, 1.85], having the ability to refuse sex [AOR = 1.46, CI: 1.23, 1.76], ever heard family planning on the radio [AOR = 1.30, CI: 1.08, 1.58], being sexually active four weeks prior to the survey [AOR = 3.90, CI: 3.14, 4.84], ever taken an HIV test [AOR = 1.67, CI: 1.39, 2.02], ever visited a health facility in the last 12 months [AOR = 1.73, CI: 1.44, 2.09], dwelling in a richer household [AOR = 1.32, CI: 1.01, 1.72], and dwelling in an urban area [AOR = 1.44, CI: 1.14, 1.81]. Exposure to family planning through print media (newspaper/magazine) was negatively associated with current use of modern contraceptive [AOR = 0.60, CI: 0.37, 0.96]. CONCLUSION:The study provided in-depth insight into the sociodemographic predictors of the current use of modern contraceptives among married or in-union women in Sierra Leone. The study underscored the need to promote the protective factors of the current use of modern contraceptives and address the risk factors of the low prevalence of modern contraceptive use through policies, programs, and interventions in Sierra Leone

Application of decision analytical models to diabetes in low- and middle-income countries : a systematic review

Background: Decision analytical models (DAMs) are used to develop an evidence base for impact and health economic evaluations, including evaluating interventions to improve diabetes care and health service—an increasingly important area in low- and middle-income countries (LMICs), where the disease burden is high, health systems are weak, and resources are constrained. This study examines how DAMs–in particular, Markov, system dynamic, agent-based, discrete event simulation, and hybrid models–have been applied to investigate non-pharmacological population-based (NP) interventions and how to advance their adoption in diabetes research in LMICs. Methods: We systematically searched peer-reviewed articles published in English from inception to 8th August 2022 in PubMed, Cochrane, and the reference list of reviewed articles. Articles were summarised and appraised based on publication details, model design and processes, modelled interventions, and model limitations using the Health Economic Evaluation Reporting Standards (CHEERs) checklist. Results: Twenty-three articles were fully screened, and 17 met the inclusion criteria of this qualitative review. The majority of the included studies were Markov cohort (7, 41%) and microsimulation models (7, 41%) simulating non-pharmacological population-based diabetes interventions among Asian sub-populations (9, 53%). Eleven (65%) of the reviewed studies evaluated the cost-effectiveness of interventions, reporting the evaluation perspective and the time horizon used to track cost and effect. Few studies (6,35%) reported how they validated models against local data. Conclusions: Although DAMs have been increasingly applied in LMICs to evaluate interventions to control diabetes, there is a need to advance the use of DAMs to evaluate NP diabetes policy interventions in LMICs, particularly DAMs that use local research data. Moreover, the reporting of input data, calibration and validation that underlies DAMs of diabetes in LMICs needs to be more transparent and credible

Challenges to the delivery of clinical diabetes services in Ghana created by the COVID-19 pandemic

Objective: The barriers to delivering clinical non-communicable disease services in low- and middle-income countries have risen with the onset of COVID-19. Using Ghana as a case study, this article examines the changes COVID-19 has brought to diabetes service delivery and considers policy responses to deal with future such outbreaks. Methods: We conducted 18 interviews between November 2020 and February 2021 with health professionals and administrators from primary, secondary and tertiary facilities within the Ghana Health Service. The analysis was performed using deductive and inductive methods. Results: There were six general themes in interviewees’ responses: (1) COVID-19 had exacerbated the problems of high medicine and service costs and medicine shortages, (2) the pandemic had exacerbated problems of poor patient record keeping, (3) COVID-19 had reduced the availability of suitably trained health providers, (4) staff had become demoralized by management’s unwillingness to make innovative changes to cope with the pandemic, (5) COVID-19 led to a reorganization of diabetes services, and (6) the country’s national health insurance scheme lacked flexibility in dealing with the pandemic. Conclusions: Access to resources is limited in LMICs. However, our study highlights practical policy responses that can improve health providers’ response to COVID-19 and future pandemics

Additional file 4 of Application of decision analytical models to diabetes in low- and middle-income countries: a systematic review

Additional file 4. PRISMA checklist of the study

Additional file 3 of Application of decision analytical models to diabetes in low- and middle-income countries: a systematic review

Additional file 3. Characteristics of studies excluded during full text review

COVID-19 vaccination in lower-middle income countries : national stakeholder views on challenges, barriers, and potential solutions

The development of COVID-19 vaccines does not imply the end of the global pandemic as now countries have to purchase enough COVID-19 vaccine doses and work towards their successful rollout. Vaccination across the world has progressed slowly in all, but a few high-income countries (HICs) as governments learn how to vaccinate their entire populations amidst a pandemic. Most low- and middle-income countries (LMICs) have been relying on the COVID-19 Vaccines Global Access (COVAX) Facility to obtain vaccines. COVAX aims to provide these countries with enough doses to vaccinate 20% of their populations. LMICs will likely encounter additional barriers and challenges rolling out vaccines compared HICs despite their significant experience from the Expanded Programme on Immunisation (EPI). This study explores potential barriers that will arise during the COVID-19 vaccine rollout in lower-middle-income countries and how to overcome them. We conducted sixteen semi-structured interviews with national-level stakeholders from Ghana and Bangladesh (eight in each country). Stakeholders included policymakers and immunisation programme experts. Data were analysed using a Framework Analysis technique. Stakeholders believed their country could use existing EPI structures for the COVID-19 vaccine rollout despite existing challenges with the EPI and despite its focus on childhood immunisation rather than vaccinating the entire population over a short period of time. Stakeholders suggested increasing confidence in the vaccine through community influencers and by utilising local government accredited institutions such as the Drug Authorities for vaccine approval. Additional strategies they discussed included training more health providers and recruiting volunteers to increase vaccination speed, expanding government budgets for COVID-19 vaccine purchase and delivery, and exploring other financing opportunities to address in-country vaccine shortages. Stakeholders also believed that LMICs may encounter challenges complying with priority lists. Our findings suggest that COVID-19 vaccination is different from previous vaccination programs, and therefore, policymakers have to expand the EPI structure and also take a systematic and collaborative approach to plan and effectively rollout the vaccines

A predictive model and socioeconomic and demographic determinants of under-five mortality in Sierra Leone.

Sierra Leone is among the countries that recorded high under-five child mortality rate in the world. To design and implement policies that can address this public health challenge, the present study developed a predictive model of factors that explained under-five mortality in Sierra Leone using the 2008 and 2013 Sierra Leone Demographic and Health Survey (SDHS) datasets. LASSO regression technique was used to select the predictors to build the under-five predictive single-level logit and multilevel logit models. Statistical analyses were performed in the R freeware version 3.6.1. About 588 (10.4%) and 1320 (11.1%) children under five were reported dead in 2008 and 2013, respectively. The significant predictors of under-five mortality in Sierra Leone were the total number of children ever born, number of children under five in the household, mother's birth in the last five years, mother's number of living children, and number of household members, household wealth, maternal contraceptive use and intention, number of eligible women in the household, type of toilet facility, sex of the child, and weight of the child at birth. The study identified certain predictors that deserve policy attention and interventions to strengthen the efforts of creating child welfare and survival atmosphere in Sierra Leone