Income security during periods of ill health: a scoping review of policies, practice and coverage in low-income and middle-income countries

Influences on use of antibiotics without prescription by the public in low- and middle-income countries: a systematic review and synthesis of qualitative evidence

Objectives

Self-medication with antibiotics is common practice in many low- and middle-income countries (LMIC). This review synthesizes the qualitative evidence on influences on perceptions and practices in relation to self-medication by the public with antibiotics in LMIC.

Methods

A systematic search was conducted of relevant medical, international and social science databases. Searching, screening, data extraction and quality appraisal followed standard methods. A meta-ethnographic approach was used for synthesis, starting with translation of studies and using a line-of-argument approach to develop the final themes.

Results

The search identified 78 eligible studies. Antibiotics were understood as a powerful, potentially dangerous but effective medicine for treating infections. This perception was strongly influenced by the common experience of being prescribed antibiotics for infections, both individually and collectively. This contributed to an understanding of antibiotics as a rational treatment for infection symptoms that was sanctioned by medical authorities. Accessing antibiotics from medical professionals was often difficult logistically and financially. In contrast, antibiotics were readily available over the counter from local outlets. People viewed treating infection symptoms with antibiotics as rational practice, although they were concerned about the risks to the individual and only took them when they believed they were needed.

Conclusions

A new model to explain self-medication with antibiotics is presented. This uses the socio-ecological model to integrate influences that operate at individual, community and wider socioeconomic levels, drawing on theories of medical authority and the medicalization and commercialization of health. Interventions to reduce overuse of antibiotics in LMIC need to address both clinical practice and community self-medication practices together.

Self-rated health and its determinants in patients with hypertension in Isfahan in 2019

BACKGROUND AND OBJECTIVES

Self-rated health (SRH) serves as an assessment of contentment regarding one's social, mental, and physical well-being and has been linked to both cardiovascular mortality and morbidity. Nonetheless, the relationship between SRH and medical outcomes in individuals with hypertension unsettled. This research endeavors to pinpoint the determinants that affect SRH in Iranian patients with hypertension.

MATERIALS AND METHODS

This cross-sectional study took place in Isfahan, Iran, from November 2018 to August 2019 and involved 886 patients with essential HTN. The data collection methods included a checklist for demographic information and risk factors, blood pressure measurements (systolic and diastolic), the Persian version of the 8-Item Morisky Medication Adherence scale, and a self-rated health questionnaire recommended by the World Health Organization. Independent sample T-test and chi squared test were used for comparison of variables between two groups of SRH. Additionally, multivariable logistic regression was used to analyze the factors influencing self-rated health status.

RESULTS

Among 886 participants (mean age 57.8 ± 8.8 years, 71.9% women), 89.62% reported good SRH. Comorbid conditions were significantly associated with poorer SRH (p < 0.05). Notably, higher education (odd ratio (OR) = 1.88, 95% confidence interval (CI) = 1.13-3.11, p = 0.015) and increased income (OR = 4.34, 95% CI = 1.43-13.18, p = 0.010) were identified as positive determinants of good SRH.

CONCLUSION

We concluded that socioeconomic factors (education and income) and comorbid conditions (diabetes, hyperlipidemia, and pulmonary diseases) are risk factors for poor SRH among hypertensive patients. These findings could help planning of health enhancement initiative.

Household Shocks and Adolescent Well-Being in Peru

This paper explores the linkages between exposure to household shocks across early life and children's educational and well-being outcomes in Peru. We use longitudinal survey data for a sample of 1713 children from five rounds of the Young Lives Survey to investigate how exposure to shocks across early life is linked to test scores and well-being in adolescence and to determine the extent to which critical periods of shock exposure exist. We expand on prior work by assessing the relationship between early childhood shocks and broader metrics of adolescent well-being beyond cognitive outcomes and by evaluating the cumulative impact of shocks over the course of a child's early life. We find that exposure to a greater number of shocks across early life is negatively associated with reading and vocabulary test scores. In addition, shock exposure in adolescence-versus earlier in childhood-has the strongest negative association with testing and well-being outcomes, suggesting that older children's time and household resources may be diverted away from learning and well-being in response to shocks. In light of increasingly frequent and severe weather events associated with climate change, as well as recent large-scale economic and health crises, policies aimed at supporting the most vulnerable children should be considered to alleviate the negative consequences of shocks on children's educational outcomes and well-being.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11113-023-09787-x.

Equitable Prioritization of Health Interventions by Incorporating Financial Risk Protection Weights Into Economic Evaluations

OBJECTIVES

Financial risk protection (FRP), or the prevention of medical impoverishment, is a major objective of health systems, particularly in low- and middle-income countries where the extent of out-of-pocket (OOP) health expenditures can be substantial. We sought to develop a method that allows decision makers to explicitly integrate FRP outcomes into their priority-setting activities.

METHODS

We used literature review to identify 31 interventions in low- and middle-income countries, each of which provided measures of health outcomes, costs, OOP health expenditures averted, and FRP (proxied by OOP health expenditures averted as a percentage of income), all disaggregated by income quintile. We developed weights drawn from the Z-score of each quintile-intervention pair based on the distribution of FRP of all quintile-intervention pairs. We next ranked the interventions by unweighted and weighted health outcomes for each income quintile. We also evaluated how pro-poor they were by, first, ordering the interventions by cost-effectiveness for each quintile and, next, calculating the proportion of interventions each income quintile would be targeted for a given random budget. A ranking was said to be pro-poor if each quintile received the same or higher proportion of interventions than richer quintiles.

RESULTS

Using FRP weights produced a more pro-poor priority setting than unweighted outcomes. Most of the reordering produced by the inclusion of FRP weights occurred in interventions of moderate cost-effectiveness, suggesting that these weights would be most useful as a way of distinguishing moderately cost-effective interventions with relatively high potential FRP.

CONCLUSIONS

This preliminary method of integrating FRP into priority-setting would likely be most suitable to deciding between health interventions with intermediate cost-effectiveness.

The importance of wage loss in the financial burden of illness: Longitudinal evidence from India

BACKGROUND

A key aim of Universal Health Coverage (UHC) is to protect individuals and households against the financial risk of illness, and large-scale health insurance expansions are a central focus of the UHC agenda. Importantly, however, health insurance does not protect against a key dimension of financial risk associated with illness: forgone wage income. In this paper, we quantify the economic burden of illness in India attributable - separately - to wage loss and to medical care spending, as well as differences in them across the socio-economic distribution.

METHODS

We use data from two longitudinal Indian household surveys: (i) the Village Dynamics in South Asia (VDSA) survey (1300 households surveyed every month for 60 months between 2010 and 2015) and (ii) the Indian Human Development Survey (IHDS) (more than 40,000 households surveyed in 2005 and again in 2011). Our regression models include a series of fixed effects that account for time-invariant household- (or individual-) level and time-varying unobservables common across households.

FINDINGS

We find that, in the VDSA sample, wage loss accounts for more than 80% of the total economic burden of illness among the poorest households, but only about 20% of the economic burden of illness among the most affluent. Estimates from the IHDS sample confirm that this socio-economic gradient is present in the Indian population generally.

CONCLUSIONS

Wage loss accounts for a substantial share of the total economic burden of illness in India - and disproportionately so among the poorest households. Our findings imply that if UHC is to achieve its objective of protecting households against the financial risk of illness - particularly poor households, the inclusion of wage loss insurance or another illness-related income replacement benefit is needed.

A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments

The COVID-19 pandemic has had a devastating impact on the global economy. In this paper, we use the Phillips curve to compare and analyze the macroeconomics of three different countries with distinct income levels, namely, lower-middle (Nigeria), upper-middle (South Africa), and high (Canada) income. We aim to (1) find macroeconomic changes in the three countries during the pandemic compared to pre-pandemic time, (2) compare the countries in terms of response to the COVID-19 economic crisis, and (3) compare their expected economic reaction to the COVID-19 pandemic in the near future. An advantage to our work is that we analyze macroeconomics on a monthly basis to capture the shocks and rapid changes caused by on and off rounds of lockdowns. We use the volume and social sentiments of the Twitter data to approximate the macroeconomic statistics. We apply four different machine learning algorithms to estimate the unemployment rate of South Africa and Nigeria on monthly basis. The results show that at the beginning of the pandemic the unemployment rate increased for all the three countries. However, Canada was able to control and reduce the unemployment rate during the COVID-19 pandemic. Nonetheless, in line with the Phillips curve short-run, the inflation rate of Canada increased to a level that has never occurred in more than fifteen years. Nigeria and South Africa have not been able to control the unemployment rate and did not return to the pre-COVID-19 level. Yet, the inflation rate has increased in both countries. The inflation rate is still comparable to the pre-COVID-19 level in South Africa, but based on the Phillips curve short-run, it will increase further, if the unemployment rate decreases. Unfortunately, Nigeria is experiencing a horrible stagflation and a wild increase in both unemployment and inflation rates. This shows how vulnerable lower-middle-income countries could be to lockdowns and economic restrictions. In the near future, the main concern for all the countries is the high inflation rate. This work can potentially lead to more targeted and publicly acceptable policies based on social media content.

Material Security Scale as a Measurement of Poverty among Key Populations At-Risk for HIV/AIDS in Malaysia: An Implication for People who Use Drugs and Transgender People during the COVID-19 Pandemic

The HIV epidemic is fueled by poverty; yet, methods to measure poverty remain scarce among populations at risk for HIV infection and disease progression to AIDS in Malaysia. Between August and November 2020, using data from a cross-sectional study of people who use drugs, (PWUD), transgender people, sex workers and men who have sex with men, this study examined the reliability and validity of a material security scale as a measurement of poverty. Additionally, we assessed factors associated with material security scores. We performed confirmatory factor analysis (CFA) for 268 study participants included in the analysis. A revised nine-item three-factor structure of the material security scale demonstrated an excellent fit in CFA. The revised material security score displayed good reliability, with Cronbach’s alpha of 0.843, 0.826 and 0.818 for housing, economic resources and basic needs factors, respectively. In a subsequent analysis, PWUD and transgender people were less likely to present good material security scores during the pandemic, compared to their counterparts. The revised nine-item scale is a useful tool to assess poverty among key populations at-risk for HIV/AIDS with the potential to be extrapolated in similar income settings.

"I'm suffering for food": Food insecurity and access to social protection for TB patients and their households in Cape Town, South Africa

BACKGROUND

Tuberculosis (TB) is a major health concern and the number one cause of death in South Africa. Social protection programmes can strengthen the resilience of TB patients, their families and households. This study aimed to get a better understanding of the role of social protection and other forms of support in relation to the burden of TB on patients and their households in South Africa.

METHODS

This is a cross-sectional exploratory qualitative study using a phenomenological approach to focus on the lived experiences and perceptions of TB patients and healthcare workers. We interviewed 16 patients and six healthcare workers and analysed data thematically.

RESULTS

The challenges faced by participants were closely related to household challenges. Participants reported a heavy physical burden, aggravated by a lack of nutritious food and that households could not provide the food they needed. Some needed to resort to charity. At the same time, households were significantly affected by the burden of caring for the patient-and remained the main source of financial, emotional and physical support. Participants reported challenges and costs associated with the application process and high levels of discretion by the assessing doctor allowing doctors' opinions and beliefs to influence their assessment.

CONCLUSION

Access to adequate nutritious food was a key issue for many patients and this need strained already stretched households and budgets. Few participants reported obtaining state social protection support during their illness, but many reported challenges and high costs of trying to access it. Further research should be conducted on support mechanisms and interventions for TB patients, but also their households, including food support, social protection and contact tracing. In deciding eligibility for grants, the situation of the household should be considered in addition to the individual patient.

Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990-2050

BACKGROUND

The rapid spread of COVID-19 renewed the focus on how health systems across the globe are financed, especially during public health emergencies. Development assistance is an important source of health financing in many low-income countries, yet little is known about how much of this funding was disbursed for COVID-19. We aimed to put development assistance for health for COVID-19 in the context of broader trends in global health financing, and to estimate total health spending from 1995 to 2050 and development assistance for COVID-19 in 2020.

METHODS

We estimated domestic health spending and development assistance for health to generate total health-sector spending estimates for 204 countries and territories. We leveraged data from the WHO Global Health Expenditure Database to produce estimates of domestic health spending. To generate estimates for development assistance for health, we relied on project-level disbursement data from the major international development agencies' online databases and annual financial statements and reports for information on income sources. To adjust our estimates for 2020 to include disbursements related to COVID-19, we extracted project data on commitments and disbursements from a broader set of databases (because not all of the data sources used to estimate the historical series extend to 2020), including the UN Office of Humanitarian Assistance Financial Tracking Service and the International Aid Transparency Initiative. We reported all the historic and future spending estimates in inflation-adjusted 2020 US$, 2020 US$ per capita, purchasing-power parity-adjusted US$ per capita, and as a proportion of gross domestic product. We used various models to generate future health spending to 2050.

FINDINGS

In 2019, health spending globally reached $8·8 trillion (95% uncertainty interval [UI] 8·7-8·8) or $1132 (1119-1143) per person. Spending on health varied within and across income groups and geographical regions. Of this total, $40·4 billion (0·5%, 95% UI 0·5-0·5) was development assistance for health provided to low-income and middle-income countries, which made up 24·6% (UI 24·0-25·1) of total spending in low-income countries. We estimate that $54·8 billion in development assistance for health was disbursed in 2020. Of this, $13·7 billion was targeted toward the COVID-19 health response. $12·3 billion was newly committed and $1·4 billion was repurposed from existing health projects. $3·1 billion (22·4%) of the funds focused on country-level coordination and $2·4 billion (17·9%) was for supply chain and logistics. Only $714·4 million (7·7%) of COVID-19 development assistance for health went to Latin America, despite this region reporting 34·3% of total recorded COVID-19 deaths in low-income or middle-income countries in 2020. Spending on health is expected to rise to $1519 (1448-1591) per person in 2050, although spending across countries is expected to remain varied.

INTERPRETATION

Global health spending is expected to continue to grow, but remain unequally distributed between countries. We estimate that development organisations substantially increased the amount of development assistance for health provided in 2020. Continued efforts are needed to raise sufficient resources to mitigate the pandemic for the most vulnerable, and to help curtail the pandemic for all.

FUNDING

Bill & Melinda Gates Foundation.

Income, Relative Deprivation and the Self-Rated Health of Older People in Urban and Rural China

Background: Substantial evidence indicated that absolute income is directly associated with health. Few studies have, however, examined if relative income may be equally associated with health. This study aimed to investigate the association between absolute income/relative deprivation (RD) and self-rated health (SRH). We also investigated whether the urban-rural difference was existing in these associations.

Methods: Using cross-sectional data of 7,070 participants in the Shandong Family Health Service Survey of older people, this study applied binary logistic model and semi-parametric model to estimate the effect of absolute income and relative deprivation on SRH of older people. The Kakwani Index was used as a measure of relative deprivation at the individual level.

Results: Absolute income has a significant positive effect on the SRH among both urban and rural older people. When considered RD as a variable, both absolute income and RD have negative significant effects on SRH among all older people. In addition, the negative effect of RD on rural elderly is more pronounced than that of urban older populations. Semi-parametric regression results show that there was a complex non-linear relationship between income and SRH. Psychological distress substantially attenuated the association between relative deprivation and SRH.

Conclusions: Relative deprivation is negatively associated with self-rated health in both urban and rural older people after controlling the absolute income. RD may partly explain the association between income inequality and worse health status. Compared with the urban elderly, the effect of income-based relative deprivation on SRH was more pronounced among the rural elderly, and more care should be given to the lower income and rural older populations.

Evaluating risk to people with epilepsy during the COVID-19 pandemic: Preliminary findings from the COV-E study

The COVID-19 pandemic has caused global anguish unparalleled in recent times. As cases rise, increased pressure on health services, combined with severe disruption to people's everyday lives, can adversely affect individuals living with chronic illnesses, including people with epilepsy. Stressors related to disruption to healthcare, finances, mental well-being, relationships, schooling, physical activity, and increased isolation could increase seizures and impair epilepsy self-management. We aim to understand the impact that COVID-19 has had on the health and well-being of people with epilepsy focusing on exposure to increased risk of seizures, associated comorbidity, and mortality. We designed two online surveys with one addressing people with epilepsy directly and the second for caregivers to report on behalf of a person with epilepsy. The survey is ongoing and has yielded 463 UK-based responses by the end of September 2020. Forty percent of respondents reported health changes during the pandemic (n = 185). Respondents cited a change in seizures (19%, n = 88), mental health difficulties (34%, n = 161), and sleep disruption (26%, n = 121) as the main reasons. Thirteen percent found it difficult to take medication on time. A third had difficulty accessing medical services (n = 154), with 8% having had an appointment canceled (n = 39). Only a small proportion reported having had discussions about epilepsy-related risks, such as safety precautions (16%, n = 74); mental health (29%, n = 134); sleep (30%, n = 140); and Sudden Unexpected Death in Epilepsy (SUDEP; 15%, n = 69) in the previous 12 months. These findings suggest that people with epilepsy are currently experiencing health changes, coupled with inadequate access to services. Also, there seems to be a history of poor risk communication in the months preceding the pandemic. As the UK witnesses a second COVID-19 wave, those involved in healthcare delivery must ensure optimal care is provided for people with chronic conditions, such as epilepsy, to ensure that avoidable morbidity and mortality is prevented during the pandemic, and beyond.

Prior infection with intestinal coronaviruses moderates symptom severity and mortality in patients with COVID-19: A hypothesis and preliminary evidence

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Intestinal replication of SARS-CoV-2 may influence the severity of COVID-19.

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This phenomenon is facilitated by intestinal receptors for SARS-CoV-2.

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Prior intestinal infections with coronaviruses may attenuate this phenomenon.

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This may account for geographical variations in the severity of COVID-19.

The pandemic of acute respiratory illness caused by the novel betacoronavirus SARS-CoV-2, officially designated COVID-19, has attained the proportions of a global health crisis. Though all nations of the world have been affected by this disease, there have been marked cross-national variations in prevalence, severity and mortality rates. Various explanations, based on demographic, social and climatic factors, have been suggested to account for this variability, but these remain unverified to date. Based on recent research findings suggesting that human enterocytes may serve as a point of entry for SARS-CoV-2, leading to intestinal viral replication, this paper puts forward the hypothesis that prior intestinal infection with coronaviruses, either symptomatic or asymptomatic, may moderate this process and minimize the severity of SARS-CoV-2 infection. This hypothesis is supported by evidence on the gastrointestinal manifestations of SARS-CoV-2 and related infections, on the geographical patterns observed in the variability of COVID-19 mortality, and on the occurrence and geographical distribution of outbreaks of diarrheal disease, as well as asymptomatic infection, with human coronaviruses as verified by direct or serological testing. Preliminary supporting evidence based on national and international health statistics is presented, along with suggestions on more robust methods by which this hypothesis may be tested. If the proposal put forth in this paper can be confirmed either wholly or in part, it would have significant implications in terms of strategies aimed at minimizing the severity of COVID-19 in a clinical setting.