Living with a hernia: A qualitative study of patient experience of abdominal wall hernias in Ndola, Zambia

Despite hernias being one of the most common surgical problems in low and middle income countries, very little is known about the impact that having a hernia has on the quality of life of patients in these settings. We performed a pilot study to understand how living with a hernia impacts on the quality of life. Twelve semistructured interviews were performed. A number of themes were identified. These demonstrated the significant impact on physical health, ability to work, psychological health and social relationships. Further work is required to better understand the patient perspective and ensure that hernia operations improve quality of life in these settings.

Longitudinal measurement invariance of neuropsychological tests in a diverse sample from the ELSA-Brasil study

OBJECTIVE

Longitudinal measurement invariance analyses are an important way to assess a test's ability to estimate the underlying construct over time, ensuring that cognitive scores across visits represent a similar underlying construct, and that changes in test performance are attributable to individual change in cognitive abilities. We aimed to evaluate longitudinal measurement invariance in a large, social and culturally diverse sample over time.

METHODS

A total of 5,949 participants from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) were included, whose cognition was reassessed after four years. Longitudinal measurement invariance analysis was performed by comparing a nested series of multiple-group confirmatory factor analysis models (for memory and executive function factors).

RESULTS

Configural, metric, scalar and strict invariance were tested and supported over time.

CONCLUSION

Cognitive temporal changes in this sample are more likely to be due to normal and/or pathological aging. Testing longitudinal measurement invariance is essential for diverse samples at high risk of dementia, such as in low- and middle-income countries.

Bilingualism: A Global Public Health Strategy for Healthy Cognitive Aging

Dementia is a global public health priority which cost global societies $818 billion in 2015 and is disproportionately impacting low and middle-income countries (LMICs). With limited availability of disease modifying drugs to treat Alzheimer's disease (AD), researchers have increasingly focused on preventative strategies which may promote healthy cognitive aging and mitigate the risk of cognitive impairment in aging. Lifelong bilingualism has been presented as both a highly debated and promising cognitive reserve factor which has been associated with better cognitive outcomes in aging. A recent metanalysis has suggested that bilingual individuals present on average 4.05 years later with the clinical features of AD than monolinguals. Bilinguals are also diagnosed with AD ~2.0 years later than monolingual counterparts. In this perspective piece we critically evaluate the findings of this metanalysis and consider the specific implications of these findings to LMICs. Furthermore, we appraise the major epidemiological studies conducted globally on bilingualism and the onset of dementia. We consider how both impactful and robust studies of bilingualism and cognition in older age may be conducted in LMICs. Given the limited expenditure and resources available in LMICs and minimal successes of clinical trials of disease modifying drugs we propose that bilingualism should be positioned as an important and specific public health strategy for maintaining healthy cognitive aging in LMICs. Finally, we reflect upon the scope of implementing bilingualism within the education systems of LMICs and the promotion of bilingualism as a healthy cognitive aging initiative within government policy.

Systematic evaluation of the QualityRights programme in public mental health facilities in Gujarat, India

BACKGROUND

Recognising the significant extent of poor-quality care and human rights issues in mental health, the World Health Organization launched the QualityRights initiative in 2013 as a practical tool for implementing human rights standards including the United Nations Convention on Rights of Persons with Disabilities (CRPD) at the ground level.

AIMS

To describe the first large-scale implementation and evaluation of QualityRights as a scalable human rights-based approach in public mental health services in Gujarat, India.

METHOD

This is a pragmatic trial involving implementation of QualityRights at six public mental health services chosen by the Government of Gujarat. For comparison, we identified three other public mental health services in Gujarat that did not receive the QualityRights intervention.

RESULTS

Over a 12-month period, the quality of services provided by those services receiving the QualityRights intervention improved significantly. Staff in these services showed substantially improved attitudes towards service users (effect sizes 0.50-0.17), and service users reported feeling significantly more empowered (effect size 0.07) and satisfied with the services offered (effect size 0.09). Caregivers at the intervention services also reported a moderately reduced burden of care (effect size 0.15).

CONCLUSIONS

To date, some countries are hesitant to reforming mental health services in line with the CRPD, which is partially attributable to a lack of knowledge and understanding about how this can be achieved. This evaluation shows that QualityRights can be effectively implemented even in resource-constrained settings and has a significant impact on the quality of mental health services.

AI for Improving Children's Health: A Community Case Study

The Indian health care system lacks the infrastructure to meet the health care demands of the country. Physician and nurse availability is 30 and 50% below WHO recommendations, respectively, and has led to a steep imbalance between the demand for health care and the infrastructure available to support it. Among other concerns, India still struggles with challenges like undernutrition, with 38% of children under the age of five being underweight. Despite these challenges, technological advancements, mobile phone ubiquity and rising patient awareness offers a huge opportunity for artificial intelligence to enable efficient healthcare delivery, by improved targeting of constrained resources. The Saathealth mobile app provides low-middle income parents of young children nflwith interactive children’s health, nutrition and development content in the form of an entertaining video series, a gamified quiz journey and targeted notifications. The app iteratively evolves the user journey based on dynamic data and predictive algorithms, empowering a shift from reactive to proactive care. Saathealth users have registered over 500,000 sessions and over 200 million seconds on-app engagement over a year, comparing favorably with engagement on other digital health interventions in underserved communities. We have used valuable app analytics data and insights from our 45,000 users to build scalable, predictive models that were validated for specific use cases. Using the Random Forest model with heterogeneous data allowed us to predict user churn with a 93% accuracy. Predicting user lifetimes on the mobile app for preliminary insights gave us an RMSE of 25.09 days and an R2 value of 0.91, reflecting closely correlated predictions. These predictive algorithms allow us to incentivize users with optimized offers and omni-channel nudges, to increase engagement with content as well as other targeted online and offline behaviors. The algorithms also optimize the effectiveness of our intervention by augmenting personalized experiences and directing limited health resources toward populations that are most resistant to digital first interventions. These and similar AI powered algorithms will allow us to lengthen and deepen the lifetime relationship with our health consumers, making more of them effective, proactive participants in improving children’s health, nutrition and early cognitive development.

Factors contributing to the uptake of childhood vaccination in Galkayo District, Puntland, Somalia

Background

As in many Sub-Saharan African countries, the health system in Somalia is not operating at the capacity needed to lift childhood vaccination coverage to ninety percent or above, as recommended by United Nations Children’s Fund. Current national estimates of coverage for the six major vaccine preventable childhood diseases range from thirty to sixty percent. Infectious disease outbreaks continue to pose significant challenges for the country’s health authorities.

Objective

This important qualitative study, conducted in Galkayo District, Somalia, investigates limiting factors associated with childhood vaccination uptake from the perspective of both communities and health care workers.

Methods

Qualitative information was collected through six focus group discussions with parents (n = 48) and five one-to-one interviews with health workers (n = 15) between March and May 2017, in three settings in the Galkayo District – Galkayo city, Bayra and Bacadwayn.

Results

From a health system perspective, the factors are: awareness raising, hard to reach areas, negative attitudes and perceived knowledge of health workers, inadequate supplies and infrastructure, and missed vaccination opportunities. From the perspective of individuals and communities the factors are: low trust in vaccines, misinterpretation of religious beliefs, vaccine refusals, Somalia’s patriarchal system and rumours and misinformation. Parents mostly received immunization information from social mobilizers and health facilities. Fathers, who are typically family decision-makers, were poorly informed. The findings highlight the need for in-service training to enable health workers to improve communication with parents, particularly fathers, peripheral communities and local religious leaders.

Conclusions

Enhancing knowledge and awareness of vaccination among parents is crucial. Fathers’ involvement is lacking. This may be boosted by highlighting fathers’ obligation to protect their children’s health through vaccination. It is also important that men engage with the wider community in decision-making and advance towards the global vaccination targets.

Testing the Efficacy of the Red-Light Purple-Light Games in Preprimary Classrooms in Kenya

This study adapted and tested the efficacy of the Red-Light Purple-Light (RLPL) games for improving executive function (EF) skills in preprimary classrooms in Nairobi, Kenya. A cluster randomized controlled trial was used to evaluate the efficacy of the adapted RLPL intervention. Specifically, 24 centers (including 48 classrooms) were randomized to the RLPL or a wait-list control condition. Consistent with previous studies, participating classrooms delivered 16 lessons across an 8-week intervention period. A total of 479 children were recruited into the study. After exclusions based on child age and data quality, 451 and 404 children (90% retention) had completed computerized assessments of EF skills at pre- and posttest assessments, respectively. Children in the RLPL centers did not demonstrate any improvements in EF skills relative to their peers in the wait-list control condition (Cohen's ds = -0.14 to 0.03, all ps > 0.20). Exploratory tests of moderators (language of assessment, grade, school type, baseline ability) were also all null. Results are discussed with respect to measurement limitations and contextual factors that may explain the null results of RLPL on EF skills in young children in Kenya.

Potential of pumpkin to combat vitamin A deficiency during complementary feeding in low and middle income countries: variety, provitamin A carotenoid content and retention, and dietary reference intakes

The risk of child vitamin A deficiency (VAD) in low and middle income countries (LMICs) begins during the age range of complementary feeding (6-24 months), when children are fed complementary foods (CFs) deficient in vitamin A. However, pumpkin, a source of provitamin A carotenoids (PVACs) is widely cultivated in LMICs, but underutilized as a complementary food. Moreover, when consumed by humans, PVACs are bioconverted to retinol, the active form of vitamin A used by the body. This study evaluated the potential of pumpkin toward combating VAD by reviewing varieties of pumpkin cultivated in LMICs and their provitamin A carotenoid (PVAC) content; retention of PVACs in pumpkin during processing it as a CF; and the extent to which a CF prepared from pumpkin may meet the dietary reference intakes (DRIs) for vitamin A for children aged 6-24 months old. Pumpkin may combat VAD because the varieties cultivated have high β-carotene content, it is a provitamin A biofortifiable food crop, and 100% retention of PVACs was observed when processed using home cooking methods. Feeding less than 50 g of cooked pumpkin per day meets 100% of the recommended dietary allowance (RDA) and adequate intake (AI) of vitamin A for children 6 to 24 months old. Consumption of pumpkin may be used to complement vitamin A supplementation, fortification, and diversification of CFs with animal source foods. For better yield of pumpkin in LMICs, nutrition sensitive agricultural programmes such as biofortification and agronomic management of pumpkin need to be promoted and supported.

Pediatric Critical Care in Resource Limited Settings-Lessening the Gap Through Ongoing Collaboration, Advancement in Research and Technological Innovations

Pediatric critical care has continued to advance since our last article, "Pediatric Critical Care in Resource-Limited Settings-Overview and Lessons Learned" was written just 3 years ago. In that article, we reviewed the history, current state, and gaps in level of care between low- and middle-income countries (LMICs) and high-income countries (HICs). In this article, we have highlighted recent advancements in pediatric critical care in LMICs in the areas of research, training and education, and technology. We acknowledge how the COVID-19 pandemic has contributed to increasing the speed of some developments. We discuss the advancements, some lessons learned, as well as the ongoing gaps that need to be addressed in the coming decade. Continued understanding of the importance of equitable sustainable partnerships in the bidirectional exchange of knowledge and collaboration in all advancement efforts (research, technology, etc.) remains essential to guide all of us to new frontiers in pediatric critical care.

Vision impairment and depression among older adults in low- and middle-income countries

OBJECTIVES

To investigate the association between visual impairment (VI) and depression in low- and middle-income countries (LMICs) and the mediating role of disability and social participation.

METHODS/DESIGN

The World Health Organization Study on global AGEing and adult health (SAGE) provided data on objective and subjective visual function, depression, disability (WHODAS-12), and social participation for nationally representative samples of adults 50 years and older in China, India, Ghana, Mexico, Russia, and South Africa. Multivariable logistic and linear models were used to test the association between VI and depression and the indirect pathways through disability and social participation. Analyses were adjusted for sociodemographics, medical comorbidities, and complex survey design features.

RESULTS

Visual acuity was worse in respondents with depression compared to those without depression in China (0.32 vs 0.23 logMAR; P < .001), Ghana (0.26 vs 0.18 logMAR; P < .001), and India (0.36 vs 0.30 logMAR; P < .001); self-reported vision was also significantly worse in these three countries, but not in Mexico, Russia, or South Africa. Greater disability significantly mediated the association of both objective and self-reported VI with depression in China and India. Social participation significantly mediated the association between subjective vision and depression in Ghana.

CONCLUSIONS

There is variability in the association between VI and depression across LMICs and in the mediating role of disability and social participation. Culture-specific instruments may be needed to better characterize the association between VI and depression and further research is needed to assess causality.

Predictors of Prenatal Depression: A Cross-Sectional Study in Rural Pakistan

Objective: To determine the prevalence and association of prenatal depression with socioeconomic, demographic and personal factors among pregnant women living in Kallar Syedan, Rawalpindi, Pakistan. Methods: Five hundred women in the second and third trimester of pregnancy, living in Kallar Syedan, a rural area of district Rawalpindi Pakistan, were included in the study. Depression was assessed using "Patient health questionnaire" (PHQ9) in Urdu, with a cut-off score of 10. Multi-dimensional scale of perceived social support (MSPSS) was used to assess perceived social support. Life Events and Difficulties Schedule (LEDS) were used to measure stressful life events in past 1 year. Tool to assess intimate partner violence (IPV) was based on WHO Multi Country Study on "Women's Health and Domestic Violence against Women." Results: Prevalence of prenatal depression was found to be 27%. Number of pregnancies was significantly associated with prenatal depression (p < 0.01). Women living in a joint family and those who perceived themselves as moderately satisfied or not satisfied with their life in the next 4 years were found to be depressed (p < 0.01, OR 6.9, CI 1.77-26.73). Depressive symptomatology in women who experienced more than five stressful life events in last 1 year was three times higher (p < 0.001, OR 3.2, CI 1.68-5.98) than in women with 1-2 stressful events. Women who were supported by their significant others or their family members had 0.9 times (p < 0.01, OR 0.9, CI 0.85-0.96) less chance of getting depressed. Pregnant women who were psychologically abused by their partners were 1.5 times more depressed (p < 0.05 CI 1.12-2.51). Odds of having depression was also high in women who had less mean score of MSSI (p < 0.05, OR 1.1, CI 1.01-1.09). Women who had suitable accommodation had 0.5 times less chance of having depression than others (p < 0.05, OR 0.5, CI 0.27-0.92). Conclusion: Over a quarter of the women in the study population reported prenatal depression, which were predicted predominantly by psychosocial variables.

The Use of Time to Pregnancy for Estimating and Monitoring Human Fecundity From Demographic and Health Surveys

BACKGROUND

Available studies on the prevalence of infertility have proved to have certain limitations, with a scarcity of population-based studies and inconsistent reporting from surveys in countries at all income levels. We wanted to test the applicability of the current duration approach to data from the important Demographic and Health Surveys (DHS) program, funded by USAID since its inception in 1985, https://dhsprogram.com/.

METHODS

The current duration approach assumes that there is a well-defined time of initiation of attempts to get pregnant and defines the current duration of a still ongoing pregnancy attempt as the time interval from initiation to interview. The DHS interviews do not have an explicit question about initiation. We focused on nullipari and substituted date of "establishment of relationship with current partner" for initiation. Our study used the current duration approach on 15 datasets from DHS during 2002-2016 in eight different countries from sub-Saharan Africa, Asia, and Latin America.

RESULTS

Well-established statistical techniques for current duration data yielded results that for some countries postulated surprisingly long median times to pregnancy and surprisingly high estimates of infertility prevalence. Further study of the data structures revealed serious deviations from expected patterns, in contrast to our earlier experience from surveys in France and the United States where participants were asked explicitly about time of initiation of attempts to become pregnant.

CONCLUSIONS

Using cohabitation as a proxy for the initiation of attempts to get pregnant is too crude. Using the current duration approach with DHS data will require more explicit questions during the DHS interviews about initiation of pregnancy attempt.

Prevalence of Common mental disorders in older adults: Results from the National Mental Health Survey of India

OBJECTIVE

We estimate the prevalence of common mental disorders (CMD) among older adults and compare them with that of younger adults at the national level.

METHOD

We analysed data on older adults from the National Mental Health Survey of India undertaken across 6 regions and 12 states of India during 2015-16. Multi-stage cluster sampling technique was adopted which permitted state level and subsequently pooled national estimates. Mini International NeuroPsychiatric Interview (MINI) adult version 6.0 was used for measuring psychiatric morbidity.

RESULTS

Older adults had a higher lifetime (6.93%) and current (3.53%) prevalence of depressive disorders as compared to the younger adults (4.96% and 2.54%). There was no difference in the prevalence of anxiety disorders in different agegroups. The most prevalent anxiety disorder in older adults was specific phobias (1.72%) followed by agoraphobia (1.6%). All CMD in the older population were more common in females, those living in urban metros, the unemployed, who were not currently married and those with lower household income.

DISCUSSION

These findings support planning better mental health policies and programs for older adults in India.

Provider perceptions of hypertension care in a low-resource setting

AIM

Globally, the rapid increase of hypertension is particularly prevalent in low- and middle-income countries. Hypertension is the most significant modifiable risk factor for stroke and ischaemic heart disease, the leading cause of mortality in Vietnam. The aim of this study was to gain insight into the provision of hypertension care in Vietnam by exploring provider perceptions.

METHODS

A sequential exploratory mixed-method design was selected to allow for the initial qualitative interview findings to be incorporated into the development of the hypertension education workshop. Data were collected through semistructured interviews of 15 Vietnamese clinicians involved in the care of patients with hypertension.

RESULTS

Anxiety related to diagnosis of hypertension and specifically fear of having a stroke was mentioned by half of the participants. Several themes also emerged regarding barriers to implementing lifestyle modification to improve patient hypertension outcomes. There were contradictory opinions on the nurse's role in providing patient education across clinical settings. A lack of systematic structure and evidence-based teaching resources was also noted.

CONCLUSIONS

Gaining the provider's perspective increases understanding of the regional culture and context of hypertension care. The increased understanding can be used to improve provider education and enhance hypertension population outcomes.

Hospital performance and payment: impact of integrating pay-for-performance on healthcare effectiveness in Lebanon

Background: In 2014 the Lebanese Ministry of Public Health integrated pay-for-performance into setting hospital reimbursement tiers, to provide hospitalization service coverage for the majority of the Lebanese population. This policy was intended to improve effectiveness by decreasing unnecessary hospitalizations, and improve fairness by including risk-adjustment in setting hospital performance scores. Methods: We applied a systematic approach to assess the impact of the new policy on hospital performance. The main impact measure was a national casemix index, calculated across 2011-2016 using medical discharge and surgical procedure codes. A single-group interrupted time series analysis model with Newey ordinary least squares regression was estimated, including adjustment for seasonality, and stratified by case type. Code-level analysis was used to attribute and explain changes in casemix index due to specific diagnoses and procedures. Results: Our final model included 1,353,025 cases across 146 hospitals with a post-intervention lag-time of two months and seasonality adjustment. Among medical cases the intervention resulted in a positive casemix index trend of 0.11% per month (coefficient 0.002, CI 0.001-0.003), and a level increase of 2.25% (coefficient 0.022, CI 0.005-0.039). Trend changes were attributed to decreased cases of diarrhea and gastroenteritis, abdominal and pelvic pain, essential hypertension and fever of unknown origin. A shift from medium to short-stay cases for specific diagnoses was also detected. Level changes were attributed to improved coding practices, particularly for breast cancer, leukemia and chemotherapy. No impact on surgical casemix index was found. Conclusions: The 2014 policy resulted in increased healthcare effectiveness, by increasing the casemix index of hospitals contracted by the Ministry. This increase was mainly attributed to decreased unnecessary hospitalizations and was accompanied by improved medical discharge coding practices. Integration of pay-for-performance within a healthcare system may contribute to improving effectiveness. Effective hospital regulation can be achieved through systematic collection and analysis of routine data.

WHO fact sheet on infertility gives hope to millions of infertile couples worldwide

Although the consequences of infertility are often severe in LMIC (Low and Middle Income Countries), national and international health strategies have always focussed on reducing total fertility rates while infertility care has received no attention at all. Access to infertility care can only be achieved when good quality but affordable infertility care is linked to more effective family planning programmes. Only a global project with respect to socio-cultural, ethical, economical and political differences can be successful. The 2020 WHO fact sheet on infertility cannot be misunderstood; global access to high-quality services for family planning including fertility care is one of the core elements of reproductive health. Different strategies are presented.

Systematic review of international Delphi surveys for core outcome set development: representation of international patients

OBJECTIVES

A core outcome set (COS) describes a minimum set of outcomes to be reported by all clinical trials of one healthcare condition. Delphi surveys are frequently used to achieve consensus on core outcomes. International input is important to achieve global COS uptake. We aimed to investigate participant representation in international Delphi surveys, with reference to the inclusion of patients and participants from low and middle income countries as stakeholders (LMICs).

DESIGN

Systematic review.

DATA SOURCES

EMBASE, Medline, Web of Science, COMET database and hand-searching.

ELIGIBILITY CRITERIA

Protocols and studies describing Delphi surveys used to develop an international COS for trial reporting, published between 1 January 2017 and 6 June 2019.

DATA EXTRACTION AND SYNTHESIS

Delphi participants were grouped as patients or healthcare professionals (HCPs). Participants were considered international if their country of origin was different to that of the first or senior author. Data extraction included participant numbers, country of origin, country income group and whether Delphi surveys were translated. We analysed the impact these factors had on outcome prioritisation.

RESULTS

Of 90 included studies, 69% (n=62) were completed and 31% (n=28) were protocols. Studies recruited more HCPs than patients (median 60 (IQR 30-113) vs 30 (IQR 14-66) participants, respectively). A higher percentage of HCPs was international compared with patients (57% (IQR 37-78) vs 20% (IQR 0-68)). Only 31% (n=28) studies recruited participants from LMICs. Regarding recruitment from LMICs, patients were under-represented (16% studies; n=8) compared with HCPs (22%; n=28). Few (7%; n=6) studies translated Delphi surveys. Only 3% studies (n=3) analysed Delphi responses by geographical location; all found differences in outcome prioritisation.

CONCLUSIONS

There is a disproportionately lower inclusion of international patients, compared with HCPs, in COS-development Delphi surveys, particularly within LMICs. Future international Delphi surveys should consider exploring for geographical and income-based differences in outcome prioritisation.

PROSPERO REGISTRATION NUMBER

CRD42019138519.

Effect of maternal nutrient intake during 31-37 weeks gestation on offspring body composition in Samoa

BACKGROUND

Pregnancy dietary intake may be associated with newborn body composition, a predictor of future obesity. In Samoa, an energy-dense diet contributes to an alarming prevalence of adult obesity. Identifying associations between pregnancy nutrition and infant body composition in this setting may guide strategies to mitigate intergenerational transmission of obesity risk.

AIM

To examine dietary macro- and micronutrient intake of Samoan women during the third trimester of pregnancy and associations with infant body composition.

SUBJECTS AND METHODS

At 34-41 weeks of gestation, we measured dietary intake from the prior month using a Food Frequency Questionnaire (FFQ). Dual-energy X-ray absorptiometry (DXA) measured infant body composition at 1-14 days. We used multivariable linear regression models accounting for confounders to identify independent effects of nutrient intake on infant body composition.

RESULTS

After adjusting for maternal body mass index, age, gravidity, infant age, and sex, a respective 0.2 g increase and 0.2 g decrease in infant bone mass was associated with fibre and saturated fat intake. Increased protein intake was associated with 0.02 g decrease in bone mass.

CONCLUSIONS

While maternal dietary intake was not associated with infant adiposity or lean mass, we observed an effect on bone mass whose role in regulating metabolic health is overlooked.

Digital psychiatry in low- and middle-income countries post-COVID-19: Opportunities, challenges, and solutions

Health systems are adapting to the unique challenges posed by the COVID-19 pandemic. Social distancing has forced clinicians to provide their services through online platforms in high income countries. Similar trends have been noticed in Low and middle-income countries (LAMIC). Digital health can help LAMIC address traditional barriers to care by overcoming issues related to stigma, discrimination, staffing, and physical and geographical resource constraints. Mobile phone subscriptions exceed 80% of the population in many LAMICs. Mobile platforms represent a viable resource in overcoming the significant mental health gap in LAMIC. This paper discusses the enormous potential that digital health has to transform healthcare delivery in LAMICs, as well as numerous challenges to implementation. We also discuss the need to develop national digital health strategies and suggest solutions to some of the barriers.

The Greatest Challenge to Using AI/ML for Primary Health Care: Mindset or Datasets?

The global vision for primary health care (PHC) is defined by regular access to quality care for comprehensive services throughout the course of life. However, this is not what typically happens, especially in low- and middle-income countries, where many people access the formal health system only for emergent needs. Yet, even episodic care is nearly impossible to attain due to infrastructure barriers, critical shortages of health care providers, and low-quality care. Artificial intelligence and machine learning (AI/ML) can help us revolutionize the current reality of health care into the vision of continuous health care that promotes individuals to maintain a constant healthy state. AI/ML can deliver precise recommendations to the individual, transforming patients from a passive receiver of health services into an active participant of their own care. By accounting for each individual, AI/ML can also ensure equitable coverage for entire populations with an ongoing data exchange between personal health, genomic data, public health, and environmental factors. The greatest challenge to enlisting AI/ML in the quest toward the PHC vision will be instilling a sense of responsibility with global citizens to recognize health data for the global good while prioritizing protected, individually owned data sets. Only when individuals start taking a collective approach to health data, shifting the mindset toward the goal of prevention, will the potential of AI/ML for PHC be realized. Until we overcome this challenge, the paradigm shift of the global community away from our ad hoc, reactive health system culture will not be achieved.

Understandings of dementia in low and middle income countries and amongst indigenous peoples: a systematic review and qualitative meta-synthesis

Objectives: Dementia is a growing health priority, particularly in less resourced countries and amongst indigenous populations. Understanding cultural meanings ascribed to dementia is an important aspect of policy development and the provision of culturally congruent care and support for people with dementia, their families and the caring professions. This review investigates conceptualizations of dementia amongst indigenous peoples and populations living in low and middle income countries (LMIC), who experience limited diagnosis and formal care for dementia, and how these shape responses to dementia.Methods: A systematic search was conducted for qualitative studies, reported in English, that investigated the perceptions, attitudes or understandings of dementia in LMIC and amongst indigenous populations. A qualitative analysis and meta-synthesis was carried out.Findings: Nineteen articles were included in the review following quality assessment. Dementia was rarely conceptualized as a defined, pathological condition characterized by progressive cognitive decline. Rather, notions of dementia existed within conceptualizations of aging, mental illness, traditional cultural beliefs and the trauma of colonization. Responses to dementia were influenced and perpetuated by community and health providers, and cultural norms for caregiving.Conclusions: There is a need to understand conceptualizations of dementia from the perspective of all stakeholders within a setting, and the dynamic responses that exist between key stakeholders. Community knowledge systems could facilitate understanding about appropriate and acceptable health and community care responses to dementia, and approaches to stigma reduction. Inclusive discussions about dementia are essential if awareness campaigns are to improve the wellbeing of people with dementia and caregivers.

Multidisciplinary visual rehabilitation in low- and middle-income countries: a systematic review

OBJECTIVE

To systematically review the evidence for effectiveness of rehabilitation interventions in people who are visually impaired, living in low- and middle-income countries.

METHODS

Fifteen databases and the grey literature were searched up until February 2020; papers were identified according to eligibility criteria, and assessed for risk of bias. Eligible studies were controlled trials (randomised or non-randomised) of rehabilitation interventions for blind or visually impaired adults or children from low- and middle-income countries. Possible outcomes included visual acuity, activities of daily living, safety, quality of life and psychological status.

RESULTS

Fifteen eligible studies were identified from India, Turkey, Nigeria, Croatia and Iran. Six studies were randomised, seven were non-randomised trials, and in two the method of allocation was not clear. Participants were adults, children and both adults and children. Seven studies were small (n ≤ 65) and examined the effect of training programmes. Remaining studies compared the effect of low vision aids, economic rehabilitation, goalball, rehabilitation compliance and service delivery methods, including one large four-arm randomised trial (n = 436). Studies measured a variety of outcomes, and mostly showed a positive effect of interventions for pre- and post-intervention assessment, although between intervention group comparisons were often inconclusive. Overall, only four studies had a low risk of bias.

CONCLUSIONS

A lack of high-quality evidence for rehabilitation interventions is a barrier to provision of low vision services in low- and middle-income countries. Future research should focus on establishing effectiveness and cost-effectiveness of devices and models of vision rehabilitation appropriate for low-resource settings.IMPLICATIONS FOR REHABILITATIONThe systematic review found a lack of high-quality evidence for rehabilitation interventions is a barrier to provision of low vision services in low- and middle-income countries.Consider how visual rehabilitation interventions which have been shown to be effective can be delivered by non-specialists.Ensure that service providers for people who are visually impaired are trained in recognising depression and anxiety and have pathways for referral to mental health services, as appropriate.

Electronic Health Information Systems to Improve Disease Diagnosis and Management at Point-of-Care in Low and Middle Income Countries: A Narrative Review

The purpose of an electronic health information system (EHIS) is to support health care workers in providing health care services to an individual client and to enable data exchange among service providers. The demand to explore the use of EHIS for diagnosis and management of communicable and non-communicable diseases has increased dramatically due to the volume of patient data and the need to retain patients in care. In addition, the advent of Coronavirus disease 2019 (COVID-19) pandemic in high disease burdened low and middle income countries (LMICs) has increased the need for robust EHIS to enable efficient surveillance of the pandemic. EHIS has potential to enable efficient delivery of disease diagnostics services at point-of-care (POC) and reduce medical errors. This review provides an overview of literature on EHIS's with a focus on describing the key components of EHIS and presenting evidence on enablers and barriers to implementation of EHISs in LMICs. With guidance from the presented evidence, we proposed EHIS key stakeholders' roles and responsibilities to ensure efficient utility of EHIS for disease diagnosis and management at POC in LMICs.

Hospital performance and payment: impact of integrating pay-for-performance on healthcare effectiveness in Lebanon

Background: In 2014 the Lebanese Ministry of Public Health integrated pay-for-performance into setting hospital reimbursement tiers, to provide hospitalization service coverage for the majority of the Lebanese population. This policy was intended to improve effectiveness by decreasing unnecessary hospitalizations, and improve fairness by including risk-adjustment in setting hospital performance scores. Methods: We applied a systematic approach to assess the impact of the new policy on hospital performance. The main impact measure was a national casemix index, calculated across 2011-2016 using medical discharge and surgical procedure codes. A single-group interrupted time series analysis model with Newey ordinary least squares regression was estimated, including adjustment for seasonality, and stratified by case type. Code-level analysis was used to attribute and explain changes in casemix index due to specific diagnoses and procedures. Results: Our final model included 1,353,025 cases across 146 hospitals with a post-intervention lag-time of two months and seasonality adjustment. Among medical cases the intervention resulted in a positive casemix index trend of 0.11% per month (coefficient 0.002, CI 0.001-0.003), and a level increase of 2.25% (coefficient 0.022, CI 0.005-0.039). Trend changes were attributed to decreased cases of diarrhea and gastroenteritis, abdominal and pelvic pain, essential hypertension and fever of unknown origin. A shift from medium to short-stay cases for specific diagnoses was also detected. Level changes were attributed to improved coding practices, particularly for breast cancer, leukemia and chemotherapy. No impact on surgical casemix index was found. Conclusions: The 2014 policy resulted in increased healthcare effectiveness, by increasing the casemix index of hospitals contracted by the Ministry. This increase was mainly attributed to decreased unnecessary hospitalizations and was accompanied by improved medical discharge coding practices. Integration of pay-for-performance within a healthcare system may contribute to improving effectiveness. Effective hospital regulation can be achieved through systematic collection and analysis of routine data.