Evaluation of EuroQol Valuation Technology (EQ-VT) Designs to Generate National Value Sets: Learnings from the Development of an EQ-5D Value Set for India Using an Extended Design (DEVINE) Study.

INTRODUCTION: Countries develop their EQ-5D-5L value sets using the EuroQol Valuation Technology (EQ-VT) protocol. This study aims to assess if extension in the conventional EQ-VT design can lead to development of value sets with improved precision. METHODS: A cross-sectional survey was undertaken in a representative sample of 3,548 adult respondents, selected from 5 different states of India using a multistage stratified random sampling technique. A novel extended EQ-VT design was created that included 18 blocks of 10 health states, comprising 150 unique health states and 135 observations per health state. In addition to the standard EQ-VT design, which is based on 86 health states and 100 observations per health state, 3 extended designs were assessed for their predictive performance. The extended designs were created by 1) increasing the number of observations per health state in the design, 2) increasing the number of health states in the design, and 3) implementing both 1) and 2) at the same time. Subsamples of the data set were created for separate designs. The root mean squared error (RMSE) and mean absolute error (MAE) were used to measure the predictive accuracy of the conventional and extended designs. RESULTS: The average RMSE and MAE for the standard EQ-VT design were 0.055 and 0.041, respectively, for the 150 health states. All 3 types of design extensions showed lower RMSE and MAE values as compared with the standard design and hence yielded better predictive performance. RMSE and MAE were lowest (0.051 and 0.039, respectively) for the designs that use a greater number of health states. Extending the design with inclusion of more health states was shown to improve the predictive performance even when the sample size was fixed at 1,000. CONCLUSION: Although the standard EQ-VT design performs well, its prediction accuracy can be further improved by extending its design. The addition of more health states in EQ-VT is more beneficial than increasing the number of observations per health state. HIGHLIGHTS: The EQ-5D-5L value sets are developed using the standardized EuroQol Valuation Technology (EQ-VT) protocol. This is the first study to empirically assess how much can be gained from extending the standard EQ-VT design in terms of sample size and/or health states. It not only presents useful insights into the performance of the standard design of the EQ-VT but also tests the potential extensions in the standard EQ-VT design in terms of increasing the health states to be directly valued as well as the number of observations recorded to predict the utility value of each of these health states.The study demonstrates that the standard EQ-VT design performs good, and an extension in the design of the standard EQ-VT can lead to further improvement in its performance. The addition of more health states in EQ-VT is more beneficial than increasing the number of observations per health state. Extending the design with inclusion of more health states marginally improves the predictive performance even when the sample size was fixed at 1,000.The findings of the study will streamline the systematic process for generating precise EQ-5D-5L value sets, thus facilitating the conduct of credible, transparent, and robust outcome valuation in health technology assessments.

Do people with different sociodemographic backgrounds value their health differently? Evaluating the role of positional objectivity.

Objective: The fundamental disconnect between the actual and the perceived health of an individual raises considerable skepticism on the self-reported health data as it may be confounded by an individual's socio-economic status. In this light, the present study aims to assess if people with different sociodemographic backgrounds value their health differently. Methods: The health-state valuation using time-trade off was performed in a cross-sectional survey among a representative sample of 2,311 adults from India. Individuals were selected using a multistage stratified random sampling from five Indian states to elicit their present health-state, and to perform the health-state valuation exercise using computer assisted personal interviewing. A single block of standardized health-states was valued by multiple individuals, each belonging to different socio-demographic group. The difference in the valuation of health was assessed using bivariate analysis. The impact of different sociodemographic factors on the health-state valuation was evaluated using Tobit regression model. Results: Differences in the valuation of health were observed among different groups of age, religion, family type, state of residence, substance abuse, presence of ailments at the time of valuation, and number of dependent members in the household. Even after controlling for the severity of the administered health states, factors having a significant association with the valuation of health are age, religion, state of residence, substance abuse, family type, number of dependent members in the household, and presence of chronic or both acute and chronic ailments. Younger individuals place a higher value to their health as compared to their older counterparts. As compared to a healthy individual, a person with ailments rates the same health-state as worse. Conclusion: Inequalities in self-reported ill-health cannot be attributed to positional objectivity; age, religion, state of residence, substance abuse, family type, dependents, and ailments impact individual health valuation.

Mental health, economic well-being and health care access amid the COVID-19 pandemic: a mixed methods study among urban men who have sex with men in India.

Scant empirical research from Asia has addressed the impact of COVID-19 on sexual minority health. We aimed to explore and understand the impact of COVID-19 on income security, mental health, HIV risk and access to health services among men who have sex with men (MSM) in India. We conducted a concurrent mixed methods study from April to June 2020, including a cross-sectional survey and in-depth semi-structured interviews with MSM recruited from three non-governmental organisations providing HIV prevention services in Chandigarh, India. We examined the associations of sexual minority stressors (sexual stigma, internalised homonegativity), economic stressors, and stress due to social distancing, with depression and anxiety, HIV risk, and access to health services. Survey findings (n = 132) indicated that internalised homonegativity and stress related to social distancing were significantly associated with depressive and anxiety symptoms. Results also showed reduced access to condoms, HIV testing and counselling services. Qualitative findings (n = 10) highlighted adverse economic impacts of COVID-19, including loss of employment/wages and engaging in survival sex work, which contributed to psychological distress and HIV risk. The COVID-19 pandemic has resulted in considerable psychological and financial distress among low socioeconomic status MSM in India, including those involved in sex work - communities already marginalised in economic, family and healthcare sectors. Structural interventions to improve access to mental health and HIV services and decrease financial burden are critical to mitigate the impact of COVID-19.

Determinants of respectful maternity care in India: A cross-sectional study.

Background: Respectful maternity care (RMC) is a basic right of all pregnant women. The study identifies the sociodemographic and economic factors influencing disrespect and abuse (D&A) faced by women during pregnancy, childbirth, and immediate postpartum period in India. Methodology: A cross-sectional study was conducted across six health facilities in three states of India from June 2019 to June 2020 among 401 women aged 18 years or more who had a live birth within the past 2 months of data collection. A validated structured interview schedule was used to capture data on sociodemographic and economic characteristics; antenatal, intranatal, and postnatal history; and incidences of D&A based on Bowser's seven domains of RMC. Ordered logistic regression was done to identify the determinant of high D&A. Results: The composite score of D&A ranged from 0 to 48 with a median interquartile range of 13 (9-17). All women faced one or the other kind of D&A. Women with the lowest food security (odds ratio [OR] = 3.3; 95% confidence interval: 1.6-6.7), who did not avail any antenatal care from the facility (OR = 1.9 [1.1-3.2]), and in the lowest wealth index (OR = 2.2 [1.3-3.7]) faced more D&A than those with high food security, more than two ANC services from same health facility, and in the high wealth index, respectively. Women who had low mobility score experienced lower D&A (OR = 0.5 [0.3-0.8]) as compared to the women with a high mobility score. Nonconsented care, nonconfidential care, and physical discomfort were the most common types of D&A. Conclusions: RMC is directly associated with socioeconomic status of women. Policy and program interventions are needed to address the inequity in health service care provision and expanding the social security net for women.

Development of an EQ-5D Value Set for India Using an Extended Design (DEVINE) Study: The Indian 5-Level Version EQ-5D Value Set.

OBJECTIVES: This study aimed to develop the Indian 5-level version EQ-5D (EQ-5D-5L) value set, which is a key input in health technology assessment for resource allocation in healthcare. METHODS: A cross-sectional survey using the EuroQol Group's Valuation Technology was undertaken in a representative sample of 3548 adult respondents, selected from 5 different states of India using a multistage stratified random sampling technique. The participants were interviewed using a computer-assisted personal interviewing technique. This study adopted a novel extended EuroQol Group's Valuation Technology design that included 18 blocks of 10 composite time trade-off (c-TTO) tasks, comprising 150 unique health states, and 36 blocks of 7 discrete choice experiment (DCE) tasks, comprising 252 DCE pairs. Different models were explored for their predictive performance. Hybrid modeling approach using both c-TTO and DCE data was used to estimate the value set. RESULTS: A total of 2409 interviews were included in the analysis. The hybrid heteroscedastic model with censoring at -1 combining c-TTO and DCE data yielded the most consistent results and was used for the generation of the value set. The predicted values for all 3125 health states ranged from -0.923 to 1. The preference values were most affected by the pain/discomfort dimension. CONCLUSIONS: This is the largest EQ-5D-5L valuation study conducted so far in the world. The Indian EQ-5D-5L value set will promote the effective conduct of health technology assessment studies in India, thereby generating credible evidence for efficient resource use in healthcare.

Navigating sociocultural disparities in relation to infection and antibiotic resistance-the need for an intersectional approach.

One of the key drivers of antibiotic resistance (ABR) and drug-resistant bacterial infections is the misuse and overuse of antibiotics in human populations. Infection management and antibiotic decision-making are multifactorial, complex processes influenced by context and involving many actors. Social constructs including race, ethnicity, gender identity and cultural and religious practices as well as migration status and geography influence health. Infection and ABR are also affected by these external drivers in individuals and populations leading to stratified health outcomes. These drivers compromise the capacity and resources of healthcare services already over-burdened with drug-resistant infections. In this review we consider the current evidence and call for a need to broaden the study of culture and power dynamics in healthcare through investigation of relative power, hierarchies and sociocultural constructs including structures, race, caste, social class and gender identity as predictors of health-providing and health-seeking behaviours. This approach will facilitate a more sustainable means of addressing the threat of ABR and identify vulnerable groups ensuring greater inclusivity in decision-making. At an individual level, investigating how social constructs and gender hierarchies impact clinical team interactions, communication and decision-making in infection management and the role of the patient and carers will support better engagement to optimize behaviours. How people of different race, class and gender identity seek, experience and provide healthcare for bacterial infections and use antibiotics needs to be better understood in order to facilitate inclusivity of marginalized groups in decision-making and policy.

Preparing for and responding to Covid-19's 'second hit'.

While already sobering, Covid-19 mortality projections only account for a portion of morbidity and mortality we should expect from the current outbreak - patients directly affected by Covid-19. Largely missing from current discussions is the indirect impact on a much broader set of patients affected the epidemic - patients who will experience greater morbidity and mortality from a wide range of clinical conditions due to disruptions in the provision of health care and other essential services - what we are describing here as the 'second hit' of Covid-19.

The household economic burden of non-communicable diseases in 18 countries.

Background: Non-communicable diseases (NCDs) are the leading cause of death globally. In 2014, the United Nations committed to reducing premature mortality from NCDs, including by reducing the burden of healthcare costs. Since 2014, the Prospective Urban and Rural Epidemiology (PURE) Study has been collecting health expenditure data from households with NCDs in 18 countries. Methods: Using data from the PURE Study, we estimated risk of catastrophic health spending and impoverishment among households with at least one person with NCDs (cardiovascular disease, diabetes, kidney disease, cancer and respiratory diseases; n=17 435), with hypertension only (a leading risk factor for NCDs; n=11 831) or with neither (n=22 654) by country income group: high-income countries (Canada and Sweden), upper middle income countries (UMICs: Brazil, Chile, Malaysia, Poland, South Africa and Turkey), lower middle income countries (LMICs: the Philippines, Colombia, India, Iran and the Occupied Palestinian Territory) and low-income countries (LICs: Bangladesh, Pakistan, Zimbabwe and Tanzania) and China. Results: The prevalence of catastrophic spending and impoverishment is highest among households with NCDs in LMICs and China. After adjusting for covariates that might drive health expenditure, the absolute risk of catastrophic spending is higher in households with NCDs compared with no NCDs in LMICs (risk difference=1.71%; 95% CI 0.75 to 2.67), UMICs (0.82%; 95% CI 0.37 to 1.27) and China (7.52%; 95% CI 5.88 to 9.16). A similar pattern is observed in UMICs and China for impoverishment. A high proportion of those with NCDs in LICs, especially women (38.7% compared with 12.6% in men), reported not taking medication due to costs. Conclusions: Our findings show that financial protection from healthcare costs for people with NCDs is inadequate, particularly in LMICs and China. While the burden of NCD care may appear greatest in LMICs and China, the burden in LICs may be masked by care foregone due to costs. The high proportion of women reporting foregone care due to cost may in part explain gender inequality in treatment of NCDs.

Valuing health-related quality of life among the Indian population: a protocol for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study.

INTRODUCTION: Quality-adjusted life year (QALY) has been recommended by the government as preferred outcome measure for Health Technology Assessment (HTA) in India. As country-specific health-related quality of life tariff values are essential for accurate measurement of QALYs, the government of India has commissioned the present study. The aim of this paper is to describe the methods for the Development of an EQ-5D Value set for India using an Extended design (DEVINE) Study. Additionally, this study aspires to establish if the design of 10-time trade-off (TTO) blocks is enough to generate valid value sets. METHODS AND ANALYSIS: A cross-sectional survey using the EuroQol Group's Valuation Technology (EQ-VT) will be undertaken in a sample of 2700 respondents selected from six different states of India using a multistage stratified random sampling technique. The participants will be interviewed using computer-assisted personal interviewing technique. The TTO valuation will be done using 10 composite TTO (c-TTO) tasks and 7 discrete choice experiment (DCE) tasks. Hybrid modelling approach using both c-TTO and DCE data to estimate the potential value set will be applied. Values of all 3125 health states will be predicted using both the conventional EQ-VT design of 10 blocks of 10 TTO tasks, and an extended design of 18 blocks of 10 TTO tasks. The potential added value of the eight additional blocks in overall validity will be tested. The study will deliver value set for India and assess the adequacy of existing 10-blocks design to be able to correctly predict the values of all 3125 health states. ETHICS AND DISSEMINATION: The ethical approval has been obtained from Institutional Ethics Committee of PGIMER, Chandigarh, India. The anonymised EQ-5D-5L value set will be available for general use and in the HTAs commissioned by India's central HTA Agency.

Modifiable risk factors, cardiovascular disease, and mortality in 155 722 individuals from 21 high-income, middle-income, and low-income countries (PURE): a prospective cohort study.

BACKGROUND: Global estimates of the effect of common modifiable risk factors on cardiovascular disease and mortality are largely based on data from separate studies, using different methodologies. The Prospective Urban Rural Epidemiology (PURE) study overcomes these limitations by using similar methods to prospectively measure the effect of modifiable risk factors on cardiovascular disease and mortality across 21 countries (spanning five continents) grouped by different economic levels. METHODS: In this multinational, prospective cohort study, we examined associations for 14 potentially modifiable risk factors with mortality and cardiovascular disease in 155 722 participants without a prior history of cardiovascular disease from 21 high-income, middle-income, or low-income countries (HICs, MICs, or LICs). The primary outcomes for this paper were composites of cardiovascular disease events (defined as cardiovascular death, myocardial infarction, stroke, and heart failure) and mortality. We describe the prevalence, hazard ratios (HRs), and population-attributable fractions (PAFs) for cardiovascular disease and mortality associated with a cluster of behavioural factors (ie, tobacco use, alcohol, diet, physical activity, and sodium intake), metabolic factors (ie, lipids, blood pressure, diabetes, obesity), socioeconomic and psychosocial factors (ie, education, symptoms of depression), grip strength, and household and ambient pollution. Associations between risk factors and the outcomes were established using multivariable Cox frailty models and using PAFs for the entire cohort, and also by countries grouped by income level. Associations are presented as HRs and PAFs with 95% CIs. FINDINGS: Between Jan 6, 2005, and Dec 4, 2016, 155 722 participants were enrolled and followed up for measurement of risk factors. 17 249 (11·1%) participants were from HICs, 102 680 (65·9%) were from MICs, and 35 793 (23·0%) from LICs. Approximately 70% of cardiovascular disease cases and deaths in the overall study population were attributed to modifiable risk factors. Metabolic factors were the predominant risk factors for cardiovascular disease (41·2% of the PAF), with hypertension being the largest (22·3% of the PAF). As a cluster, behavioural risk factors contributed most to deaths (26·3% of the PAF), although the single largest risk factor was a low education level (12·5% of the PAF). Ambient air pollution was associated with 13·9% of the PAF for cardiovascular disease, although different statistical methods were used for this analysis. In MICs and LICs, household air pollution, poor diet, low education, and low grip strength had stronger effects on cardiovascular disease or mortality than in HICs. INTERPRETATION: Most cardiovascular disease cases and deaths can be attributed to a small number of common, modifiable risk factors. While some factors have extensive global effects (eg, hypertension and education), others (eg, household air pollution and poor diet) vary by a country's economic level. Health policies should focus on risk factors that have the greatest effects on averting cardiovascular disease and death globally, with additional emphasis on risk factors of greatest importance in specific groups of countries. FUNDING: Full funding sources are listed at the end of the paper (see Acknowledgments).

Socioeconomic status and risk of cardiovascular disease in 20 low-income, middle-income, and high-income countries: the Prospective Urban Rural Epidemiologic (PURE) study.

BACKGROUND: Socioeconomic status is associated with differences in risk factors for cardiovascular disease incidence and outcomes, including mortality. However, it is unclear whether the associations between cardiovascular disease and common measures of socioeconomic status-wealth and education-differ among high-income, middle-income, and low-income countries, and, if so, why these differences exist. We explored the association between education and household wealth and cardiovascular disease and mortality to assess which marker is the stronger predictor of outcomes, and examined whether any differences in cardiovascular disease by socioeconomic status parallel differences in risk factor levels or differences in management. METHODS: In this large-scale prospective cohort study, we recruited adults aged between 35 years and 70 years from 367 urban and 302 rural communities in 20 countries. We collected data on families and households in two questionnaires, and data on cardiovascular risk factors in a third questionnaire, which was supplemented with physical examination. We assessed socioeconomic status using education and a household wealth index. Education was categorised as no or primary school education only, secondary school education, or higher education, defined as completion of trade school, college, or university. Household wealth, calculated at the household level and with household data, was defined by an index on the basis of ownership of assets and housing characteristics. Primary outcomes were major cardiovascular disease (a composite of cardiovascular deaths, strokes, myocardial infarction, and heart failure), cardiovascular mortality, and all-cause mortality. Information on specific events was obtained from participants or their family. FINDINGS: Recruitment to the study began on Jan 12, 2001, with most participants enrolled between Jan 6, 2005, and Dec 4, 2014. 160 299 (87·9%) of 182 375 participants with baseline data had available follow-up event data and were eligible for inclusion. After exclusion of 6130 (3·8%) participants without complete baseline or follow-up data, 154 169 individuals remained for analysis, from five low-income, 11 middle-income, and four high-income countries. Participants were followed-up for a mean of 7·5 years. Major cardiovascular events were more common among those with low levels of education in all types of country studied, but much more so in low-income countries. After adjustment for wealth and other factors, the HR (low level of education vs high level of education) was 1·23 (95% CI 0·96-1·58) for high-income countries, 1·59 (1·42-1·78) in middle-income countries, and 2·23 (1·79-2·77) in low-income countries (pinteraction<0·0001). We observed similar results for all-cause mortality, with HRs of 1·50 (1·14-1·98) for high-income countries, 1·80 (1·58-2·06) in middle-income countries, and 2·76 (2·29-3·31) in low-income countries (pinteraction<0·0001). By contrast, we found no or weak associations between wealth and these two outcomes. Differences in outcomes between educational groups were not explained by differences in risk factors, which decreased as the level of education increased in high-income countries, but increased as the level of education increased in low-income countries (pinteraction<0·0001). Medical care (eg, management of hypertension, diabetes, and secondary prevention) seemed to play an important part in adverse cardiovascular disease outcomes because such care is likely to be poorer in people with the lowest levels of education compared to those with higher levels of education in low-income countries; however, we observed less marked differences in care based on level of education in middle-income countries and no or minor differences in high-income countries. INTERPRETATION: Although people with a lower level of education in low-income and middle-income countries have higher incidence of and mortality from cardiovascular disease, they have better overall risk factor profiles. However, these individuals have markedly poorer health care. Policies to reduce health inequities globally must include strategies to overcome barriers to care, especially for those with lower levels of education. FUNDING: Full funding sources are listed at the end of the paper (see Acknowledgments).

Social capital as a mediator of the influence of socioeconomic position on health: Findings from a population-based cross-sectional study in Chandigarh, India.

BACKGROUND: Social capital has been recognized as part of the WHO's Social Determinants of Health model given that social connections and relationships may serve as resources of information and tangible support. While the association between socioeconomic position and health is relatively well established, scant empirical research has been conducted in developing countries on the association between social capital and health. OBJECTIVE: Based on the WHO's Social Determinants of Health framework, we tested whether social capital mediates the effect of socioeconomic position on mental and physical health. METHODS: A population-based study was conducted among a representative sample (n = 1563) of men and women in Chandigarh, India. We used standardized scales for measuring social capital (mediator variable) and self-rated mental and physical health (outcome variable). RESULTS: A socioeconomic position index (independent variable) was computed from education, occupation, and caste categories. Mediation model was tested using path analysis in IBM SPSS-Amos. Participants' mean age was 40.1 years. About half of the participants were women (49.3%), and most were relatively well educated. The results showed that socioeconomic position was a significant predictor of physical and mental health. Social capital was a significant mediator of the effect of socioeconomic position on mental health but not physical health. CONCLUSION: Besides removing socioeconomic barriers through poverty alleviation programs, interventions to improve social capital, especially in economically disadvantaged communities, may help in improving population health.

Health-care utilization and expenditure patterns in the rural areas of Punjab, India.

OBJECTIVE: To determine pattern of health care utilization and extent of out-of-pocket healthcare expenditure in rural areas of Punjab in India. METHODS: Using multi stage sampling procedure, 660 participants were selected from 110 villages, out of all 22 districts; 440 participants had utilized outpatient care in past 15 days, and 220 had been hospitalized in past one year. Pretested semistructured questionnaires were used to enquire about household and healthcare expenditures. Out-of-pocket (OoP) expenditure included only direct costs of healthcare. Sevety seven 77 (12%) participants could not provide expenditures, hence were excluded from analysis. More than 10% of total household expenditure on healthcare was considered catastrophic. RESULTS: Majority of the participants had used public sector health facilities for outpatient (57%) and inpatient (51.5%) care. Public sector facilities were utilized more often for communicable diseases and gynaecological problems whereas private sector services were used more commonly for accidents and non-communicable diseases. Mean healthcare expenditure on outpatient and inpatient healthcare services was Indian Rupees (INR) 8501 and INR 53889 respectively. Expenditure in private sector was significantly higher compared to the public sector facilities. Catastrophic expenditure was incurred by 7% of the households while seeking outpatient care and by 53% while seeking inpatient care. To pay for outpatient and inpatient care, 23.3% and 61.5% of the participants respectively had to borrow money or sell their assets. CONCLUSIONS: Healthcare expenditure places households under considerable financial strain in rural areas of Punjab in India. Improvements of public hospitals may increase their utilization and decrease financial burden.

Social autopsy for identifying causes of adult mortality.

Verbal autopsy methods have been developed to determine medical causes of deathforprioritizing disease control programs. Additional information on social causesmay facilitate designing of more appropriate prevention strategies. Use of social autopsy in investigations of causes of adult deaths has been limited. Therefore, acommunity-based study was conducted in NandpurKalour Block of Fatehgarh Sahib District in Punjab (India)for finding social causes of adult deaths. An integrated verbal and social autopsy toolwas developed and verbal autopsies of 600 adult deaths, occurring over a reference period of one year, were conducted in 2014. Quantitative analysis described the socio-demographic characteristics of the deceased, number and type of consultations from health care providers, and type of care received during illness. Qualitative data was analyzed to find out social causes of death by thematic analysis. The median duration of illness from symptom onset till death was 9 days (IQR = 1-45 days). At the onset of illness, 72 (12%) deceased utilized home remedies and 424 (70.7%)received care from a clinic/hospital, and 104 (17.3%) died withoutreceiving any care. The number of medical consultations varied from one to six (median = 2). The utilization of government health facilities and qualified allopathic doctor increased with each consultation (p value<0.05). The top five social causes of adult deaths in a rural area of Punjab in India. (1) Non availability of medical practitioner in the vicinity, (2) communication gaps between doctor and patient on regular intake of medication, (3) delayed referral by service provider, (4) poor communication with family on illness, and (5) perception of illness to be 'mild' by the family or care taker. To conclude, social autopsy tool should be integrated with verbal autopsy tool for identification of individual, community, and health system level factors associated with adult mortality.

Cost of Intensive Care Treatment for Liver Disorders at Tertiary Care Level in India.

BACKGROUND: Liver diseases contribute significantly to the health and economic burden globally. We undertook this study to assess the health system costs, out-of-pocket (OOP) expenditure and extent of financial risk protection associated with treatment of liver disorders in a tertiary care public sector hospital in India. METHODOLOGY: The present study was undertaken in an intensive care unit (ICU) of a tertiary care hospital in North India. It comprised an ICU and an HDU (high dependency unit). Bottom-up micro-costing was undertaken to assess the health system costs. Data on OOP expenditure and indirect costs were collected for 150 liver disorder patients admitted to the ICU or HDU from December 2013 to October 2014. Per-patient and per-bed-day costs of treatment were estimated from both health system and patient perspectives. Financial risk protection was assessed by computing prevalence of catastrophic health expenditure as a result of OOP expenditure. RESULTS: In 2013-2014, health system costs per patient treated in the ICU and HDU were US$2728 [Indian National Rupee (INR) 1,63,664] and US$1966 (INR 1,17,985), respectively. The mean OOP expenditures for treatment in the ICU and HDU were US$2372 (INR 1,42,297) and US$1752 (INR 1,05,093), respectively. Indirect costs of hospitalization in ICU and HDU patients were US$166 (INR 9952) and US$182 (INR 10,903), respectively. CONCLUSION: Treatment of chronic liver disorders poses an economic challenge for both the health system and patients. There is a need to focus on prevention of liver disorders, and finding ways to treat patients without exposing their households to the catastrophic effect of OOP expenditure.

Availability and affordability of blood pressure-lowering medicines and the effect on blood pressure control in high-income, middle-income, and low-income countries: an analysis of the PURE study data.

BACKGROUND: Hypertension is considered the most important risk factor for cardiovascular diseases, but its control is poor worldwide. We aimed to assess the availability and affordability of blood pressure-lowering medicines, and the association with use of these medicines and blood pressure control in countries at varying levels of economic development. METHODS: We analysed the availability, costs, and affordability of blood pressure-lowering medicines with data recorded from 626 communities in 20 countries participating in the Prospective Urban Rural Epidemiological (PURE) study. Medicines were considered available if they were present in the local pharmacy when surveyed, and affordable if their combined cost was less than 20% of the households' capacity to pay. We related information about availability and affordability to use of these medicines and blood pressure control with multilevel mixed-effects logistic regression models, and compared results for high-income, upper-middle-income, lower-middle-income, and low-income countries. Data for India are presented separately because it has a large generic pharmaceutical industry and a higher availability of medicines than other countries at the same economic level. FINDINGS: The availability of two or more classes of blood pressure-lowering drugs was lower in low-income and middle-income countries (except for India) than in high-income countries. The proportion of communities with four drug classes available was 94% in high-income countries (108 of 115 communities), 76% in India (68 of 90), 71% in upper-middle-income countries (90 of 126), 47% in lower-middle-income countries (107 of 227), and 13% in low-income countries (nine of 68). The proportion of households unable to afford two blood pressure-lowering medicines was 31% in low-income countries (1069 of 3479 households), 9% in middle-income countries (5602 of 65 471), and less than 1% in high-income countries (44 of 10 880). Participants with known hypertension in communities that had all four drug classes available were more likely to use at least one blood pressure-lowering medicine (adjusted odds ratio [OR] 2·23, 95% CI 1·59-3·12); p<0·0001), combination therapy (1·53, 1·13-2·07; p=0·054), and have their blood pressure controlled (2·06, 1·69-2·50; p<0·0001) than were those in communities where blood pressure-lowering medicines were not available. Participants with known hypertension from households able to afford four blood pressure-lowering drug classes were more likely to use at least one blood pressure-lowering medicine (adjusted OR 1·42, 95% CI 1·25-1·62; p<0·0001), combination therapy (1·26, 1·08-1·47; p=0·0038), and have their blood pressure controlled (1·13, 1·00-1·28; p=0·0562) than were those unable to afford the medicines. INTERPRETATION: A large proportion of communities in low-income and middle-income countries do not have access to more than one blood pressure-lowering medicine and, when available, they are often not affordable. These factors are associated with poor blood pressure control. Ensuring access to affordable blood pressure-lowering medicines is essential for control of hypertension in low-income and middle-income countries. FUNDING: Population Health Research Institute, the Canadian Institutes of Health Research, Heart and Stroke Foundation of Ontario, Canadian Institutes of Health Research Strategy for Patient Oriented Research through the Ontario SPOR Support Unit, the Ontario Ministry of Health and Long-Term Care, pharmaceutical companies (with major contributions from AstraZeneca [Canada], Sanofi Aventis [France and Canada], Boehringer Ingelheim [Germany amd Canada], Servier, and GlaxoSmithKline), Novartis and King Pharma, and national or local organisations in participating countries.

A mixed methods study on evaluating the performance of a multi-strategy national health program to reduce maternal and child health disparities in Haryana, India.

BACKGROUND: A multi pronged community based strategy, known as National Rural Health Mission (NRHM), was implemented from 2005-06 to 2012-13 in India to curtail maternal and child health (MCH) disparities between poor and rich, rural and urban areas, and boys and girls,. This study aimed to determine the degree to which MCH plans of NRHM implemented, and resulted in improving the MCH outcomes and reducing the inequalities. METHODS: An explanatory sequential mixed methods study was conducted, first to assess the degree of implementation of MCH plans by estimating the budget utilization rates of each MCH plan, and the effectiveness of these plans by comparing demographic health surveys data conducted post (2012-13), during (2007-08) and pre- (2002-04) NRHM implementation period, in the quantitative study. Then, perceptions and beliefs of stakeholders regarding extent and effectiveness of NRHM in Haryana were explored in the qualitative study during 2013. A logistic regression analysis was done for quantitative data, and inductive applied thematic analysis for qualitative data. The findings of the quantitative and qualitative parts of study were mixed at the interpretation level. RESULTS: The MCH plans, like free ambulance service, availability of free drugs and logistics, accredited social health activists were fully implemented according to the budget spent on implementing these activities in Haryana. This was also validated by qualitative study. Availability of free medicines and treatment in the public health facilities had benefitted the poor patients the most. Accredited Social Health Activists scheme was also the most appreciated scheme that had increased the institutional delivery rates. There was acute shortage of human resources in-spite of full utilization of funds allocated for this plan. The results of the qualitative study validated the findings of quantitative study of significant (p < 0.05) improvement in MCH indicators and reduction in MCH disparities between higher and lower socioeconomic groups, and rural and urban areas. CONCLUSIONS: MCH plans of NRHM might have succeeded in improving the MCH outcomes and reducing the geographical and socioeconomic MCH inequalities by successfully implementing the schemes like accredited social health activists, free ambulance services, free treatment and medicines in hospitals for the poor and in rural areas.

Resource use efficiency of broiler production in tunnel-ventilated environmental control vis-à-vis open-sided conventional shed during summer.

Present study was conducted to assess the resource use efficiency of broilers production, in tunnel-ventilated environment control (ECBH) and open-sided conventional (OSCBH) house under different stocking densities. Different treatments comprised of T 0 (birds with floor space, 1.0/ft2/bird in open-sided conventional broiler house (OSCBH) as control, while different treatments in tunnel-ventilated environment control broiler house (ECBH) were T 1, T 2, T 3, T 4 and T 5 with floor space of 1.0, 0.9, 0.8, 0.7and 0.6 ft2 per bird, respectively. The results of shed microclimate indicated that shed temperature and temperature humidity index (THI) at 12:00 and 15:00 IST and maximum and minimum temperature in OSCBH were significantly (p ≤ 0.05) higher than ECBH. Litter moisture and pH did not differ significantly and were within permissible limits in both OSCBH and ECBH. Final body weight, body weight gain, feed intake were significantly higher and FCR, PER and EER were significantly better in ECBH than OSCBH (T 0) even at 10% increase in stocking density (T 2). Margin of receipt in T 2 in ECBH from sale of live bird/unit area and kilogram live weight per unit area was maximum which was Rs. 5.08/- and 3.56/- higher than T 0 for OSCBH.

Evaluation of a women group led health communication program in Haryana, India.

BACKGROUND: Sakshar Mahila Smooh (SMS) program was launched in rural areas of Haryana in India during 2008. A total of 6788 SMSs, each having 5-10 literate women, were equipped to enhance health communication. We carried out process evaluation of this program as an external agency. METHODOLOGY: After a review of program documents, a random sample survey of Auxiliary Nurse Midwives (ANMs), SMS members, and village women was conducted. Out of four divisions of the state, one was randomly chosen, which had five districts. From 330 randomly chosen villages, 283 ANMs, 1164 SMS members, and 1123 village women were interviewed using a semi- structured interview schedule. Program inputs, processes, and outputs were compared in the five districts. Chi square was used for significance test. RESULTS: In the sampled division, out of 2009 villages, 1732 (86%) had functional SMS. In three years, SMS conducted 15036 group meetings, 2795 rallies, 2048 wall writings, and 803 competitions, and 44.5% of allocated budget was utilized. Most ANMs opined that SMSs are better health communicators. SMS members were aware about their roles and responsibilities. Majority of village women reported that SMS carry out useful health education activities. The characteristics of SMS members were similar but program performance was better in districts where health managers were proactive in program planning and monitoring. CONCLUSIONS: SMS Program has communicated health messages to majority of rural population, however, better planning & monitoring can improve program performance.

Impact of a Multi-Strategy Community Intervention to Reduce Maternal and Child Health Inequalities in India: A Qualitative Study in Haryana.

A multi-strategy community intervention, known as National Rural Health Mission (NRHM), was implemented in India from 2005 to 2012. By improving the availability of and access to better-quality healthcare, the aim was to reduce maternal and child health (MCH) inequalities. This study was planned to explore the perceptions and beliefs of stakeholders about extent of implementation and effectiveness of NRHM's health sector plans in improving MCH status and reducing inequalities. A total of 33 in-depth interviews (n = 33) with program managers, community representatives, mothers and 8 focus group discussions (n = 42) with health service providers were conducted from September to December 2013, in Haryana, post NRHM. Using NVivo software (version 9), an inductive applied thematic analysis was done based upon grounded theory, program theory of change and a framework approach. Almost all the participants reported that there was an improvement in overall health infrastructure through an increased availability of accredited social health activists, free ambulance services, and free treatment facilities in rural areas. This had increased the demand and utilization of MCH services, especially for those related to institutional delivery, even by the poor families. Service providers felt that acute shortage of human resources was a major health system level barrier. District-specific individual, community, and socio-political level barriers were also observed. Overall program managers, service providers and community representatives believed that NRHM had a role in improving MCH outcomes and in reduction of geographical and socioeconomic inequalities, through improvement in accessibility, availability and affordability of the MCH services in the rural areas and for the poor. Any reduction in gender-based inequalities, however, was linked to the adoption of small family sizes and an increase in educational levels.