Economic Evaluations of mHealth Interventions for the Management of Type 2 Diabetes: A Scoping Review.

BACKGROUND: There is plenty of evidence supporting the clinical benefits of mHealth interventions for type 2 diabetes, but despite often being promoted as cost-effective or cost-saving, there is still limited research to support such claims. The objective of this review was to summarize and critically analyze the current body of economic evaluation (EE) studies for mHealth interventions for type 2 diabetes. METHODS: Using a comprehensive search strategy, five databases were searched for full and partial EE studies for mHealth interventions for type 2 diabetes from January 2007 to March 2022. "mHealth" was defined as any intervention that used a mobile device with cellular technology to collect and/or provide data or information for the management of type 2 diabetes. The CHEERS 2022 checklist was used to appraise the reporting of the full EEs. RESULTS: Twelve studies were included in the review; nine full and three partial evaluations. Text messages smartphone applications were the most common mHealth features. The majority of interventions also included a Bluetooth-connected medical device, eg, glucose or blood pressure monitors. All studies reported their intervention to be cost-effective or cost-saving, however, most studies' reporting were of moderate quality with a median CHEERS score of 59%. CONCLUSION: The current literature indicates that mHealth interventions for type 2 diabetes can be cost-saving or cost-effective, however, the quality of the reporting can be substantially improved. Heterogeneity makes it difficult to compare study outcomes, and the failure to report on key items leaves insufficient information for decision-makers to consider.

Nexus between maternal underweight and child anthropometric status in South and South-East Asian countries.

OBJECTIVES: Maternal underweight and childhood malnutrition are life-threatening public health concerns in several South and South-East Asian nations. The aim of this study was to better design interventions and prevent malnutrition of children in the region by exploring the association of maternal underweight with children's anthropometric status. METHODS: The Demographic and Health Survey's (DHS) most recent nationally representative data from eight South and South-East Asian states, collected between 2014 and 2018, were pooled for the present study. A multivariable logistic regression model was designed to explore the association between maternal underweight and child anthropometric status. Owing to the hierarchical structure of the DHS data, the study also employed the multilevel logistic regression technique. RESULTS: Among the total participants (N = 213 730), 22.66% of women were found to be underweight, whereas 39.03%, 35.88%, and 22.11% of their children had stunting, underweight, and wasting, respectively. The logistic regression model showed that the children from underweight mothers were 1.27 (95% confidence interval [CI]. 1.24-1.30), 1.69 (95% CI, 1.65-1.73), and 1.48 (95% CI, 1.45-1.52) times more likely to experience stunting, underweight, and wasting, respectively, than those with healthy-weight mothers. The significant association between maternal underweight and stunting, underweight, as well as wasting was additionally established by the multilevel logistic regression analysis. CONCLUSIONS: Findings indicate that maternal underweight is positively associated with children's anthropometric status, such as stunting, underweight, and wasting. The information from this research will guide actors and policymakers to scale up interventions with all-inclusive nutritional issues and promote healthier weight status among mothers to ensure higher odds of healthier anthropometric status in their children in the South and South-East Asian countries.

Systematic review and meta-analysis of medicine use studies in Ethiopia using the WHO patient care indicators with an emphasis on the availability of prescribed medicines.

OBJECTIVE: To collate the findings of studies on patient care indicators in Ethiopia using the WHO/International Network for Rational Use of Drugs indicators with a focus on the availability of medicines to patients. DESIGN: Systematic review and meta-analysis. DATA SOURCES: Embase, Global Index Medicus, Google Scholar, Medline (via PubMed) and Web of Science. ELIGIBILITY CRITERIA: Medicine use studies employing the WHO patient care indicators across health facilities in Ethiopia. DATA EXTRACTION AND SYNTHESIS: Descriptive summary of the indicators and a random-effects meta-analysis were performed for quantitative synthesis of findings on the percentage of medicines actually dispensed. Meta-regression was performed to assess the moderator effects of different attributes of the studies. RESULTS: A total of 25 studies conducted in 155 health facilities with 11 703 patient exit interviews were included. The median value of average consultation time was 5.1 min (25th-75th: 4.2-6.6) and that of average dispensing time was 78 s (25th-75th: 54.9-120.0). The median percentage of medicines with adequate labelling was 22.4% (25th-75th: 5.6%-50.0%). A concerning trend of decreasing dispensing times and adequacy of labelling were observed in more recent studies. The median percentage of patients with adequate knowledge of dosage schedules of medicines was 70.0% (25th-75th: 52.5%-81.0%). In the meta-analysis, the pooled estimate of medicine availability was 85.9% (95% CI: 82.1% to 89.0%). The multivariable meta-regression showed that geographical area and quality of study were statistically significant predictors of medicine availability. CONCLUSION: Short consultation and dispensing times, inadequate labelling, inadequate knowledge of patients on medicines and suboptimal availability of medicines were identified in health facilities of Ethiopia. Studies aimed at further exploration of the individual indicators like problems of inadequate labelling and patients' knowledge of dispensed medicines are crucial to determine the specific reasons and improve medicine use. PROSPERO REGISTRATION NUMBER: CRD42020157274.

COVID-19 in Ethiopia: a geospatial analysis of vulnerability to infection, case severity and death.

BACKGROUND: COVID-19 has caused a global public health crisis affecting most countries, including Ethiopia, in various ways. This study maps the vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. METHODS: Thirty-eight potential indicators of vulnerability to COVID-19 infection, case severity and likelihood of death, identified based on a literature review and the availability of nationally representative data at a low geographic scale, were assembled from multiple sources for geospatial analysis. Geospatial analysis techniques were applied to produce maps showing the vulnerability to infection, case severity and likelihood of death in Ethiopia at a spatial resolution of 1 km×1 km. RESULTS: This study showed that vulnerability to COVID-19 infection is likely to be high across most parts of Ethiopia, particularly in the Somali, Afar, Amhara, Oromia and Tigray regions. The number of severe cases of COVID-19 infection requiring hospitalisation and intensive care unit admission is likely to be high across Amhara, most parts of Oromia and some parts of the Southern Nations, Nationalities and Peoples' Region. The risk of COVID-19-related death is high in the country's border regions, where public health preparedness for responding to COVID-19 is limited. CONCLUSION: This study revealed geographical differences in vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. The study offers maps that can guide the targeted interventions necessary to contain the spread of COVID-19 in Ethiopia.

Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review.

OBJECTIVE: The aim of this study was to provide a comprehensive evidence on risk factors for transmission, disease severity and COVID-19 related deaths in Africa. DESIGN: A systematic review has been conducted to synthesise existing evidence on risk factors affecting COVID-19 outcomes across Africa. DATA SOURCES: Data were systematically searched from MEDLINE, Scopus, MedRxiv and BioRxiv. ELIGIBILITY CRITERIA: Studies for review were included if they were published in English and reported at least one risk factor and/or one health outcome. We included all relevant literature published up until 11 August 2020. DATA EXTRACTION AND SYNTHESIS: We performed a systematic narrative synthesis to describe the available studies for each outcome. Data were extracted using a standardised Joanna Briggs Institute data extraction form. RESULTS: Fifteen articles met the inclusion criteria of which four were exclusively on Africa and the remaining 11 papers had a global focus with some data from Africa. Higher rates of infection in Africa are associated with high population density, urbanisation, transport connectivity, high volume of tourism and international trade, and high level of economic and political openness. Limited or poor access to healthcare are also associated with higher COVID-19 infection rates. Older people and individuals with chronic conditions such as HIV, tuberculosis and anaemia experience severe forms COVID-19 leading to hospitalisation and death. Similarly, high burden of chronic obstructive pulmonary disease, high prevalence of tobacco consumption and low levels of expenditure on health and low levels of global health security score contribute to COVID-19 related deaths. CONCLUSIONS: Demographic, institutional, ecological, health system and politico-economic factors influenced the spectrum of COVID-19 infection, severity and death. We recommend multidisciplinary and integrated approaches to mitigate the identified factors and strengthen effective prevention strategies.

Assessment of medicine use among outpatients at healthcare facilities in Ethiopia using the WHO's prescribing indicators with a focus on antibiotics: a systematic review and meta-analysis.

OBJECTIVES: To summarize studies on prescribing medicine to general outpatients through the WHO/International Network for Rational Use of Drugs (INRUD) prescribing indicators with a focus on antibiotic prescription. METHODS: A systematic review and random-effects meta-analysis of studies on the WHO prescribing indicators with a focus on the percentage of encounters with antibiotics prescribed (PEAP) was performed. The databases PubMed, Web of Science, EMBASE and Global Index Medicus were searched. RESULTS: Twenty-six studies with a total of over 34 000 prescription encounters were included in the systematic review, showing a mean of two medicines per encounter. In each meta-analysis, a range of 19 to 25 studies was included. The percentages of medicines prescribed with an international non-proprietary name (INN) and from the essential medicines list (EML) were 91% and 96% of the total number of medicines, respectively, while 19% of encounters contained injections. Studies with over 25 000 prescription encounters reported an average PEAP of 58% and PEAP showed an increasing trend over the years included in this review. Multivariable meta-regression showed that PEAP increased with the average number of medicines per encounter (estimate = 0.83, P value = 0.0005). The number of medicines, study design and year of prescription explained over 40% of the variation in PEAP across studies. CONCLUSIONS: Patterns of medicine use within and close to the WHO reference values were reported for the number of medicines, INN prescribing, prescription of injections and compliance with the EML, on average. Prescription of antibiotics requires attention as amounts much higher than the reference values were prescribed, which were even higher with polypharmacy and increasing over the years included in this review.

Costs incurred by outpatients at a university hospital in northwestern Ethiopia: a cross-sectional study.

BACKGROUND: Out-of-pocket expenditure constitutes high proportion of healthcare spending in low-income countries. It can affect patients' adherence to treatments leading to serious health consequences. The objective of this study was to document costs incurred by patients visiting Gondar University Referral Hospital, in Gondar, northwestern Ethiopia. METHODS: An institution-based cross-sectional study was conducted among 346 outpatients at the hospital from 2nd to 20th of May 2016. Data collection took place through interviews with patients coming to the outpatient pharmacy after finishing their visits at the different departments in the hospital. Data were collected on socio-demographic information, cost incurred before and during hospital visit as well as ownership of household items. RESULTS: Among the 342 interviews included in the final analysis, a median total cost of 22.25 USD was incurred by patients. This constituted spending on solutions tried before hospital visit, direct medical, nonmedical and indirect costs. Among these, direct nonmedical and indirect costs constituted a large share. Medicine, transportation and waiting time during visit were major components of direct medical, nonmedical and indirect costs respectively. Total median cost was found to be predicted by residence, marital status and payment scheme used to pay for hospital services. CONCLUSIONS: Outpatients visiting the hospital incurred significant costs for illnesses/conditions associated with their visit to the hospital, the main components being nonmedical and indirect costs. Residence, marital status and payment scheme, predicted median total cost. Direct nonmedical costs and indirect costs were found to be significant components associated to the spending and loss of earning by patients and their families in their trip to and from the hospital.

Pattern and Appropriateness of Medicines Prescribed to Outpatients at a University Hospital in Northwestern Ethiopia.

The study assessed the pattern and appropriateness of medicines prescribed to outpatients at Gondar University Referral Hospital in northwestern Ethiopia. An institution-based cross-sectional study was employed, through interviews and prescription reviews, among 346 patients at the outpatient pharmacy, from 2nd to 20th of May 2016. Data on sociodemographic profile of patients and medicines prescribed to them were collected. A mean of 1.72 medicines per encounter was prescribed, over a third of the total being anti-infectives. Patients were able to get about 85% of these medicines. An unskilled government employee would be required to work more than one and a half day to be able to afford the average priced medicine. Among prescriptions with two or more medicines, more than a third had at least one potential drug-drug interaction (PDDI), the commonest pair containing amoxicillin and doxycycline. Being male, being older (50-59 years), and increased number of medicines were associated with higher likelihood of PDDIs. In conclusion, the number of medicines prescribed per encounter was up to accepted standard. However, their availability fell short, together with considerable cost. Regarding appropriateness, a significant proportion of potential drug-drug interactions is identified and associated with patient's sex, age, and number of medicines prescribed.