Search

Objective: In March 2014, India, the country with historically the highest burden of polio, was declared polio free, with no reported cases since January 2011. We estimate the health and economic benefits of polio elimination in India with the oral polio vaccine (OPV) during 1982-2012. Methods: Based on a pre-vaccine incidence rate, we estimate the counterfactual burden of polio in the hypothetical absence of the national polio elimination program in India. We attribute differences in outcomes between the actual (adjusted for underreporting) and hypothetical counterfactual scenarios in our model to the national polio program. We measure health benefits as averted polio incidence, deaths, and disability adjusted life years (DALYs). We consider two methods to measure economic benefits: the value of statistical life approach, and equating one DALY to the Gross National Income (GNI) per capita. Results: We estimate that the National Program against Polio averted 3.94 million (95% confidence interval [CI]: 3.89-3.99 million) paralytic polio cases, 393,918 polio deaths (95% CI: 388,897- 398,939), and 1.48 billion DALYs (95% CI: 1.46-1.50 billion). We also estimate that the program contributed to a $1.71 trillion (INR 76.91 trillion) gain (95% CI: $1.69-$1.73 trillion [INR 75.93-77.89 trillion]) in economic productivity between 1982 and 2012 in our base case analysis. Using the GNI and DALY method, the economic gain from the program is estimated to be $1.11 trillion (INR 50.13 trillion) (95% CI: $1.10-$1.13 trillion [INR 49.50-50.76 trillion]) over the same period. Conclusion: India accrued large health and economic benefits from investing in polio elimination efforts. Other programs to control/eliminate more vaccine-preventable diseases are likely to contribute to large health and economic benefits in Ind [ABSTRACT FROM AUTHOR]

Inequalities in health are an indicator of distributional differences in the health status of populations. Low-income countries, which contribute 56% of global disease burden, account for only 2% of global [...]

Introduction: The out-of-pocket expenditure is quite high in Punjab. Hence, a rapid review of health facilities was undertaken to suggest remedial measures. Methods: Mixed method research approach was used to identify strengths and weaknesses of the health services in Punjab. All health institutions were included in the assessment from the three purposively sampled districts - one from each of the three regions of Punjab. Tools were developed to collect data from record review, observations, and in-depth interviews. Six building blocks framework proposed by the World Health Organization was used for data collection and analyses. Results: In general physical infrastructure, especially the buildings were found to be reasonably constructed at most of the healthcare facilities. However, the maintenance was not regular. The vacancies for general doctors, specialist doctors, nurses, and paramedics were 26%, 38%, 31% and 12% respectively. Supply of drugs was irregular and inadequate. A large proportion (45%) of ‘user charges' we re spent on purchase of drugs and other consumables. Most registers were found to be updated, and reports were transmitted to higher levels usually on time. However, institutionalized system of monitoring and supervision was lacking. Govt. hospitals were providing in-patient care to about 35.5% of those who were estimated to need hospitalization. State had allocated about Rs. 1200 crores to health (0.46% of GDP), thus, spending only Rs. 433 per capita per year. Conclusions: Despite constraints, the government health service is catering to the needs of a large section of the population. Rapid health system assessment at periodic intervals using a mixed method approach can supplement routine monitoring of the health system. [ABSTRACT FROM AUTHOR]

Background & objectives: Creation of a strong referral transport network across the country is necessary for improving physical access to public sector health facilities. In this study we evaluated the referral transport services in Haryana, i.e. Haryana Swasthya Vaahan Sewa (HSVS), now known as National Ambulance Service (NAS), to assess the extent and pattern of utilization, and to ascertain its effect on public sector institutional deliveries. Methods: Secondary data on 116,562 patients transported during April to July 2011 in Haryana state were analysed to assess extent and pattern of NAS utilization. Exit interviews were conducted with 270 consecutively selected users and non- users of referral services respectively in Ambala (High NAS utilization), Hisar (medium utilization) and Narnaul (low utilization) districts. Month-wise data on institutional deliveries in public facilities during 2005-2012 were collected in these three districts, and analysed using interrupted time series analysis to assess the impact of NAS on institutional deliveries. Results: Female gender (OR = 77.7), rural place of residence (OR = 5.96) and poor socio-economic status (poorest wealth quintile OR = 2.64) were significantly associated with NAS ambulance service usage. Institutional deliveries in Haryana rose significantly after the introduction of NAS service in Ambala (OR=137.4, 95% CI=22.4-252.4) and Hisar (OR=215, 95% CI=88.5-341.3) districts. No significant increase was observed in Narnaul (OR=4.5, 95% CI= -137.4 to 146.4) district. Interpretation & conclusions: The findings of the present study showed a positive effect of referral transport service on increasing institutional deliveries. However, this needs to be backed up with adequate supply of basic and emergency obstetric care at hospitals and health centres. [ABSTRACT FROM AUTHOR]

Background: In low- and middle-income countries (LMICs), provisioning for surgical care is a public health priority. Ayushman Bharat Pradhan Mantri-Jan Aarogya Yojana (AB PM-JAY) is India’s largest national insurance scheme providing free surgical and medical care. In this paper, we present the costs of surgical health benefit packages (HBPs) for secondary care in public district hospitals.The costs were estimated using mixed (top-down and bottom-up) micro-costing methods. In phase II of the Costing of Health Services in India (CHSI) study, data were collected from a sample of 27 district hospitals from nine states of India. The district hospitals were selected using stratified random sampling based on the district’s composite development score. We estimated unit costs for individual services—outpatient (OP) visit, per bed-day in inpatient (IP) and intensive care unit (ICU) stays, and surgical procedures. Together, this was used to estimate the cost of 250 AB PM-JAY HBPs.At the current level of utilization, the mean cost per OP consultation varied from US$4.10 to US$2.60 among different surgical specialities. The mean unit cost per IP bed-day ranged from US$13.40 to US$35.60. For the ICU, the mean unit cost per bed-day was US$74. Further, the unit cost of HBPs varied from US$564 for bone tumour excision to US$49 for lid tear repair.Data on the cost of delivering surgical care at the level of district hospitals is of critical value for evidence-based policymaking, price-setting for surgical care and planning to strengthen the availability of high quality and cost-effective surgical care in district hospitals.Methods: In low- and middle-income countries (LMICs), provisioning for surgical care is a public health priority. Ayushman Bharat Pradhan Mantri-Jan Aarogya Yojana (AB PM-JAY) is India’s largest national insurance scheme providing free surgical and medical care. In this paper, we present the costs of surgical health benefit packages (HBPs) for secondary care in public district hospitals.The costs were estimated using mixed (top-down and bottom-up) micro-costing methods. In phase II of the Costing of Health Services in India (CHSI) study, data were collected from a sample of 27 district hospitals from nine states of India. The district hospitals were selected using stratified random sampling based on the district’s composite development score. We estimated unit costs for individual services—outpatient (OP) visit, per bed-day in inpatient (IP) and intensive care unit (ICU) stays, and surgical procedures. Together, this was used to estimate the cost of 250 AB PM-JAY HBPs.At the current level of utilization, the mean cost per OP consultation varied from US$4.10 to US$2.60 among different surgical specialities. The mean unit cost per IP bed-day ranged from US$13.40 to US$35.60. For the ICU, the mean unit cost per bed-day was US$74. Further, the unit cost of HBPs varied from US$564 for bone tumour excision to US$49 for lid tear repair.Data on the cost of delivering surgical care at the level of district hospitals is of critical value for evidence-based policymaking, price-setting for surgical care and planning to strengthen the availability of high quality and cost-effective surgical care in district hospitals.Results: In low- and middle-income countries (LMICs), provisioning for surgical care is a public health priority. Ayushman Bharat Pradhan Mantri-Jan Aarogya Yojana (AB PM-JAY) is India’s largest national insurance scheme providing free surgical and medical care. In this paper, we present the costs of surgical health benefit packages (HBPs) for secondary care in public district hospitals.The costs were estimated using mixed (top-down and bottom-up) micro-costing methods. In phase II of the Costing of Health Services in India (CHSI) study, data were collected from a sample of 27 district hospitals from nine states of India. The district hospitals were selected using stratified random sampling based on the district’s composite development score. We estimated unit costs for individual services—outpatient (OP) visit, per bed-day in inpatient (IP) and intensive care unit (ICU) stays, and surgical procedures. Together, this was used to estimate the cost of 250 AB PM-JAY HBPs.At the current level of utilization, the mean cost per OP consultation varied from US$4.10 to US$2.60 among different surgical specialities. The mean unit cost per IP bed-day ranged from US$13.40 to US$35.60. For the ICU, the mean unit cost per bed-day was US$74. Further, the unit cost of HBPs varied from US$564 for bone tumour excision to US$49 for lid tear repair.Data on the cost of delivering surgical care at the level of district hospitals is of critical value for evidence-based policymaking, price-setting for surgical care and planning to strengthen the availability of high quality and cost-effective surgical care in district hospitals.Conclusions: In low- and middle-income countries (LMICs), provisioning for surgical care is a public health priority. Ayushman Bharat Pradhan Mantri-Jan Aarogya Yojana (AB PM-JAY) is India’s largest national insurance scheme providing free surgical and medical care. In this paper, we present the costs of surgical health benefit packages (HBPs) for secondary care in public district hospitals.The costs were estimated using mixed (top-down and bottom-up) micro-costing methods. In phase II of the Costing of Health Services in India (CHSI) study, data were collected from a sample of 27 district hospitals from nine states of India. The district hospitals were selected using stratified random sampling based on the district’s composite development score. We estimated unit costs for individual services—outpatient (OP) visit, per bed-day in inpatient (IP) and intensive care unit (ICU) stays, and surgical procedures. Together, this was used to estimate the cost of 250 AB PM-JAY HBPs.At the current level of utilization, the mean cost per OP consultation varied from US$4.10 to US$2.60 among different surgical specialities. The mean unit cost per IP bed-day ranged from US$13.40 to US$35.60. For the ICU, the mean unit cost per bed-day was US$74. Further, the unit cost of HBPs varied from US$564 for bone tumour excision to US$49 for lid tear repair.Data on the cost of delivering surgical care at the level of district hospitals is of critical value for evidence-based policymaking, price-setting for surgical care and planning to strengthen the availability of high quality and cost-effective surgical care in district hospitals. [ABSTRACT FROM AUTHOR]

• The five-point strategy adopted by Indian government against COVID-19 has been "COVID appropriate behaviour, test, track, treat and vaccinate". • The central procurement and distribution of vaccines has been an optimal and efficient way to ensure availability of vaccines. • The use of technology in form of COVID-19 vaccine intelligence network (Co-WIN 1.0 and 2.0) assisted in successful planning, implementation and continuous monitoring of vaccine procurement, distribution, and utilization. It also aided the citizens in registrations, location of vaccination centres and generation of certifications. • The strengths of the vaccination drive were meticulous monitoring of the campaign, amendments in policies based on available evidence and consistent assistance to vaccine manufacturers to improve domestic production of vaccines. • The identified challenges to the vaccination drive were related to vaccine availability and hesitancy. The rural-urban and gender-based inequities in the country reflected throughout the vaccination drive and require attention. We undertook the study to present a comprehensive overview of COVID-19 related measures, largely centred around the development of vaccination related policies, their implementation and challenges faced in the vaccination drive in India. A targeted review of literature was conducted to collect relevant data from official government documents, national as well as international databases, media reports and published research articles. The data were summarized to assess Indian government's vaccination campaign and its outcomes as a response to COVID-19 pandemic. The five-point strategy adopted by government of India was "COVID appropriate behaviour, test, track, treat and vaccinate". With respect to vaccination, there have been periodic shifts in the policies in terms of eligible beneficiaries, procurement, and distribution plans, import and export strategy, involvement of private sector and use of technology. The government utilized technology for facilitating vaccination for the beneficiaries and monitoring vaccination coverage. The monopoly of central government in vaccine procurement resulted in bulk orders at low price rates. However, the implementation of liberalized policy led to differential pricing and delayed achievement of set targets. The population preference for free vaccines and low profit margins for the private sector due to price caps resulted in a limited contribution of the dominant private health sector of the country. A wavering pattern was observed in the vaccination coverage, which was related majorly to vaccine availability and hesitancy. The campaign will require consistent monitoring for timely identification of bottlenecks for the lifesaving initiative. [ABSTRACT FROM AUTHOR]

Background & objectives: Various models of referral transport services have been introduced in different States in India with an aim to reduce maternal and infant mortality. Most of the research on referral transport has focussed on coverage, quality and timeliness of the service with not much information on cost and efficiency. This study was undertaken to analyze the cost of a publicly financed and managed referral transport service model in three districts of Haryana State, and to assess its cost and technical efficiency. Methods: Data on all resources spent for delivering referral transport service, during 2010, were collected from three districts of Haryana State. Costs incurred at State level were apportioned using appropriate methods. Data Envelopment Analysis (DEA) technique was used to assess the technical efficiency of ambulances. To estimate the eficient scale of operation for ambulance service, the average cost was regressed on kilometres travelled for each ambulance station using a quadratic regression equation. Results: The cost of referral transport per year varied from ??? 5.2 million in Narnaul to ??? 9.8 million in Ambala. Salaries (36-50%) constituted the major cost. Referral transport was found to be operating at an average efficiency level of 76.8 per cent. Operating an ambulance with a patient load of 137 per month was found to reduce unit costs from an average ??? 15.5 per km to ??? 9.57 per km. Interpretation & conclusions: Our results showed that the publicly delivered referral transport services in Haryana were operating at an eficient level. Increasing the demand for referral transport services among the target population represents an opportunity for further improving the efficiency of the underutilized ambulances. [ABSTRACT FROM AUTHOR]

Objective In India, Haemophilus influenzae type b (Hib) vaccine introduction in the universal immunization programme requires evidence of its potential health impact and cost-effectiveness, as it is a costly vaccine. Since childhood mortality, vaccination coverage and health service utilization vary across states, the cost-effectiveness of introducing Hib vaccine was studied in Haryana state.Methodology A mathematical model was used to compare scenarios with and without Hib vaccination to estimate the cost-effectiveness of Hib vaccine in Haryana from 2010 to 2024. Demographic and National Family Health Surveys were used to estimate vaccination coverage and mortality rates among children under 5. Hib pneumonia, Hib meningitis and invasive Hib disease incidence were based on Indian studies. Vaccine and syringe prices of the UNICEF supply division were used. Cost-effectiveness from government and societal perspectives was calculated as the net incremental cost per unit of health benefit gained [disability-adjusted life years (DALYs) averted, life years saved, Hib cases averted, Hib deaths averted]. Sensitivity analysis was done using variation in parameter estimates among different states of India.Findings The incremental cost of Hib vaccine introduction from a government and a societal perspective was estimated to be US$81.4 and US$27.5 million, respectively, from 2010 to 2024. Vaccination of 73.3, 71.6 and 67.4 million children with first, second and third dose of pentavalent vaccine, respectively, would avert 7 067 817 cases, 31 331 deaths and 994 564 DALYs. Incremental cost per DALY averted from a government (US$819) and a societal perspective (US$277) was found to be less than the per capita gross national income of India in 2009. In sensitivity analysis, Hib vaccine introduction remained cost-effective for India.Conclusion Hib vaccine introduction is a cost-effective strategy in India. [ABSTRACT FROM AUTHOR]

Background & objectives: User charges have been advocated on efficiency grounds despite the widespread criticism about their adverse effect on equity. We assessed the effect of user charges on inpatient hospitalizations rate and equity in Haryana State. Methods: The inpatient department (IPD) statistics of the public sector facilities in Yamuna Nagar district where user charges had been introduced were analysed and compared with Rohtak district which did not have user charge between 2000 and 2006. National Sample Survey data of Haryana for the 2004- 2005 period were analyzed to compare utilization of public sector facilities for hospitalization, cost of hospitalization, and prevalence of catastrophic out-of-pocket (OOP) expenditure by income quintiles in three districts which had user charges and 17 districts of Haryana which did not levy user charges. Results: During 2000 and 2006, hospital admissions declined by 23.8 per cent in Yamuna Nagar district where user charges had been introduced compared to an almost static hospitalization rate in Rohtak district which did not have user charges (P<0.01). Public sector hospital utilization for inpatient services had a pro-rich (concentration index 0.144) distribution in the three districts with user charges and pro- poor (concentration index -0.047) in the 17 districts without user charges. Significantly higher prevalence of catastrophic health expenditure was observed in public sector institutions with user charges (48%) compared to those without user charges (35.4%) (P<0.001). Interpretation & conclusions: The findings of our study showed that user charges had a negative influence on hospitalizations in Haryana especially among the poor. Public policies for revenue generation should avoid user charges. [ABSTRACT FROM AUTHOR]

Tobacco use is one of the major preventable causes of death and disability worldwide. WHO estimates that 4.9 million deaths annually are attributable to tobacco use. Research questions: What is the magnitude of problem of tobacco users among school going adolescents in a rural block of Haryana? Objectives: 1.To study the prevalence of tobacco use and 2. To assess the correlate factors of tobacco use. Study design: A cross-sectional descriptive type of study. Setting: Schools of Beri block, District Jhajjar. Participants: School going adolescents (10-19 years). Simple size: Total sample size was 1260. Study variables: Age, Sex, Type of tobacco products, Influencing factors, Awareness about health problems. Results: Overall prevalence of 'ever users' of tobacco products was 203 (17.4%). Prevalence of ever users among boys and girls was 197 (27%) and 7 (1.6%) respectively. Prevalence of 'current users' of tobacco products was 169 (14.5%). Majority 89.6% of current users had initiated smoking between the age 10 and 14 years (median age 12 years). The differences in prevalence according to age (p < 0.001) was statistically significant while in relation to caste was found non-significant (p>.067). [ABSTRACT FROM AUTHOR]

Tobacco use is one of the major preventable causes of death and disability worldwide. WHO estimates that 4.9 million deaths annually are attributable to tobacco use. Research questions: What is the magnitude of problem of tobacco users among school going adolescents in a rural block of Haryana? Objectives: 1. To study the prevalence of tobacco use 2. To assess the correlate factors of tobacco use. Study Design: A cross-sectional descriptive type of study. Setting: Schools of Beri block, District Jhajjar. Participants: School going adolescents (10-19 years). Simple size: Total sample size was 1260. Results: Overall prevalence of 'ever users' of tobacco products was 203 (17.4%). Prevalence of ever users among boys and girls was 197 (27%) and 7 (1.6%) respectively. Prevalence of 'current users' of tobacco products was 169 (14.5%). Majority 89.6% of current users had initiated smoking between the age 10 and 14 years (median age 12 years). The differences in prevalence according to age (p < 0.001) was statistically significant while in relation to caste was found non-significant (p>.067). [ABSTRACT FROM AUTHOR]

The article presents insights on a study published within the issue about preventive care awareness campaign among women's self-help groups by a community health insurance programme in India. Topics discussed include the complexity of health education intervention trials, the need to consider logical framework when evaluating health education interventions and the importance of health promoting policy changes to the success of health education.

The authors inform that surveys conducted by the National Sample Survey Organization and the National Centre for Applied Economic Research (NCAER) in India have relied on the use of self-reported health (SRH). They argue that doubts have been raised on SRH and self-reported morbidity (SRM) related to cross-population comparisons, which emanate from the watcher's objectivity. The authors also suggest the use of vignettes during data collection and decomposition analysis for SRH/SRM reporting.

A letter to the editor is presented in response to the article "Introducing Pentavalent Vaccine in the Expanded Programme on Immunisation (EPI) in India: A counsel for Caution," by Z. Lone et al, in a 200 issue.

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. [ABSTRACT FROM AUTHOR]

Background: The literature about the safety and feasibility of same-day discharge (SDD) following complex percutaneous coronary intervention (PCI) and in acute coronary syndrome (ACS) is scarce. The economic impact of SDD has not been evaluated in this geographical region. We in the present study evaluated the safety, feasibility, and economic impact of SDD following PCI at a tertiary care centre of north India.Methods: It was a single-centre, non-randomized, prospective study, in which all consecutive PCI patients during the study period of 15 months were evaluated for SDD using a "patient-centred" approach. The patients who were discharged on the next calendar day were included in the next day discharge (NDD) group. The baseline demographic data including coronary risk factors, clinical presentation, and management details were noted for all patients. All patients were followed up for 6 weeks. The Indian health system is only partially insured, hence most of the expendable costs are borne by patients. In the present study, we computed the total societal expenditure of each PCI which includes both the health system costs and the expenditure borne by the patients. A standardized tool and bottoms up costing method were used for recording out-of-pocket expenditure (OOPE) by the patients and health care expenditure respectively.Results: Out of a total of 675 PCI patients, 617 patients were enrolled in the study, and 132/617 (21.39%) patients were discharged the same day. Sixty-five % of patients (86/132) in the SDD cohort and 70% of patients (337/485) in the NDD cohort presented with ACS. Baseline characteristics in the two cohorts were identical. A higher syntax score, greater number of stents, and longer stented segment predicted the NDD. The mean length of stay after PCI in patients with SDD and NDD was 8.71 ± 2.48 and 21.76 ± 2.42 h, respectively. In the SDD group, there were no readmissions or adverse events after discharge till 6 weeks of follow-up. The total mean cost of PCI (health care system and OOPE) for SDD and NDD was Indian Rupees (INR) 129,322.14 [United States dollar (US$) 1810.51] and INR 165500.71 [US$ 2317.01] respectively. An amount of INR 36178.57 (health system cost: INR 10242.76 and OOPE: INR 25935.71 was saved for each SDD. Besides 100 cardiac unit bed days including 85 intensive cardiac care bed days were saved with 21% SDD in the present cohort.Conclusion: Post PCI SDD is safe and feasible in selected ACS/chronic stable angina patients using the "patient-centred" approach. Besides, decreasing OOPE for the patients, SDD also helps in the efficient use of scarce health system resources. [ABSTRACT FROM AUTHOR]

• Type of cooking fuel choice varies significantly with the monthly income of the family. • Against the market price of $ 9.9/cylinder of LPG, the maximum willingness to pay is $ 4.1. • Weekly cooking fuel cost was found to be highest ($ 3.1) for SBF followed by mixed fuel ($ 2.6) and LPG ($ 1.3). • Distance from the LPG agency, the taste of meal and season are important determinant for the choice of household cooking fuel. • There is a need to create awareness about the health effects of household air pollution. The study aims to identify barriers for cleaner fuel alternatives and willingness to pay in Punjab, India. American Thoracic Society questionnaire was adopted as a study tool having additional questions on fuel subsidy and options, barriers for cleaner fuels choice, including the willingness to pay. Type of cooking fuel choice varies significantly with the monthly income of the family and 67% household uses solid biomass fuel (SBF) as a primary fuel, whereas 21% liquefied petroleum gas (LPG). Distance for the collection of clean fuel, the taste of meal and season were identified as important determinants for the choice of household cooking fuel. Weekly cooking fuel cost was found to be highest ($3.1) in SBF users followed by mixed ($2.6) and LPG ($1.3) fuel users. Against the market price of $9.9 per cylinder of LPG, the average willingness to pay was $4.1. The decision for cooking fuel is mostly taken by women (48%), although they prefer SBF for cooking and collect it (75%). As the SBF users were found ignorant about the associated non-communicable diseases, study urges to create awareness about the adverse health effects of household air pollution to increase the energy transition towards cleaner fuels. [ABSTRACT FROM AUTHOR]

Background & objectives: Cause of death assignment from verbal autopsy (VA) questionnaires is conventionally accomplished through physician review. However, since recently, computer softwares have been developed to assign the cause of death. The present study evaluated the performance of computer software in assigning the cause of death from the VA, as compared to physician review. Methods: VA of 600 adult deaths was conducted using open- and close-ended questionnaires in Nandpur Kalour Block of Punjab, India. Entire VA forms were used by two physicians independently to assign the cause of death using the International Statistical Classification of Diseases and Related Health Problems (ICD)-10 codes. In case of disagreement between them, reconciliation was done, and in cases of persistent disagreements finally, adjudication was done by a third physician. InterVA-4-generated causes from close-ended questionnaires were compared using Kappa statistics with causes assigned by physicians using a questionnaire having both open- and close-ended questions. At the population level, Cause-Specific Mortality Fraction (CSMF) accuracy and P-value from McNemar's paired Chi-square were calculated. CSMF accuracy indicates the absolute deviation of a set of proportions of causes of death out of the total number of deaths between the two methods. Results: The overall agreement between InterVA-4 and physician coding was 'fair' (?=0.42; 95% confidence interval 0.38, 0.46). CSMF accuracy was found to be 0.71. The differences in proportions from the two methods were statistically different as per McNemar's paired Chi-square test for ischaemic heart diseases, liver cirrhosis and maternal deaths. Interpretation & conclusions: In comparison to physicians, assignment of causes of death by InterVA-4 was only 'fair'. Hence, it may be appropriate to continue with physician review as the optimal option available in the current scenario. [ABSTRACT FROM AUTHOR]

Objective To assess the availability of information on indicators of the World Health Organization and United Nations Children's Fund primary health-care measurement framework in Bangladesh, India, Nepal, Pakistan and Sri Lanka and to outline the opportunities for and challenges to using the framework in these countries. Methods We reviewed global and national data repositories for quantitative indicators of the framework and conducted a desk review of country documents for qualitative indicators in February--April 2023. We assessed data sources and cross-sectional survey tools to suggest possible sources of information on framework indicators that were not currently reported in the countries. We also identified specific indicators outside the framework on which information is collected in the countries and which could be used to measure primary healthcare performance. Findings Data on 54% (32/59) of the quantitative indicators were partially or completely available for the countries, ranging from 41% (24/59) in Pakistan to 64% (38/59) in Nepal. Information on 41% (66/163) of the qualitative subindicators could be acquired through desk reviews of country-specific documents. Information on input indicators was more readily available than on process and output indicators. The feasibility of acquiring information on the unreported indicators was moderate to high through adaptation of data collection instruments. Conclusion The primary health-care measurement framework provides a platform to readily assess and track the performance of primary health care. Countries should improve the completeness, quality and use of existing data for strengthening of primary health care. [ABSTRACT FROM AUTHOR]

Background & objectives Burden estimates of enteric fever are required to make policy decisions on introducing typhoid vaccine in India. Incidence, antimicrobial susceptibility, and out-of-pocket expenditure (OOPE) of enteric fever are estimated in Chandigarh, India. Methods A hybrid (facility and community-based) surveillance system was set up at a secondary care hospital to enrol patients above six months of age, hospitalized with fever, from a defined catchment population from May 2018 to March 2020. Blood samples were collected and cultured using an automated system (BD BACTECTM blood culture system). The Salmonella Typhi and S. Paratyphi isolates were characterized for antimicrobial susceptibility. OOPE was recorded after 14 and 28 days of discharge. Results Blood samples were collected from 97 per cent of the 1650 study participants enrolled. The incidence of enteric fever was 226.8 per 1,00,000 person-years (PY), severe typhoid fever 156.9 per 1,00,000 PY, and severe paratyphoid fever 69.9 per 1,00,000 PY. Salmonella was highly susceptible to ampicillin, azithromycin, and ceftriaxone (99.25%) and least susceptible to ciprofloxacin (11.3%). The OOPE due to hospitalization of individuals infected with S. Paratyphi [INR 8696.6 (USD 116)] was significantly higher than the individuals infected with S. Typhi [INR 7309 (USD 97.5), P =0.01], and among cases who were hospitalized for more than seven days [INR 12,251 (USD 163.3)] as compared with those with a stay of 3-7 days [INR 8038.2 (USD 107.2)] or less than three days [INR 5327.8 (USD 71), P <0.001]. Interpretation & conclusions There was a high incidence of enteric fever, high OOPE, and resistance to ciprofloxacin. [ABSTRACT FROM AUTHOR]

Background: Nonpharmacological interventions, such as personal protective equipment for example, surgical masks and respirators, and maintenance of hand hygiene along with COVID-19 vaccines have been recommended to reduce viral transmission in the community and health care settings. There is evidence from the literature that surgical and N95 masks may reduce the initial degree of exposure to the virus. A limited research that has studied the cost-effective analysis of surgical masks and N95 masks among health care workers in the prevention of COVID-19 in India. The objective of this study was to estimate the cost-effectiveness of N95 and surgical mask compared to wearing no mask in public hospital settings for preventing COVID-19 infection among Health care workers (HCWs) from the health care provider's perspective. Methods: A deterministic baseline model, without any mask use, based on Eikenberry et al was used to form the foundation for parameter estimation and to estimate transmission rates among HCWs. Information on mask efficacy, including the overall filtering efficiency of a mask and clinical efficiency, in terms of either inward efficiency(ei) or outward efficiency(e0), was obtained from published literature. Hospitalized HCWs were assumed to be in one of the disease states i.e., mild, moderate, severe, or critical. A total of 10,000 HCWs was considered as representative of the size of a tertiary care institution HCW population. The utility values for the mild, moderate and severe model health states were sourced from the primary data collection on quality-of-life of HCWs COVID-19 survivors. The utility scores for mild, moderate, and severe COVID-19 conditions were 0.88, 0.738 and 0.58, respectively. The cost of treatment for mild sickness (6,500 INR per day), moderate sickness (10,000 INR per day), severe (require ICU facility without ventilation, 15,000 INR per day), and critical (require ICU facility with ventilation per day, 18,000 INR) per day as per government and private COVID-19 treatment costs and capping were considered. One way sensitivity analyses were performed to identify the model inputs which had the largest impact on model results. Results: The use of N95 masks compared to using no mask is cost-saving of $1,454,632 (INR 0.106 billion) per 10,000 HCWs in a year. The use of N95 masks compared to using surgical masks is cost-saving of $63,919 (INR 0.005 billion) per 10,000 HCWs in a year. the use of surgical masks compared to using no mask is cost-saving of $1,390,713 (INR 0.102 billion) per 10,000 HCWs in a year. The uncertainty analysis showed that considering fixed transmission rate (1.7), adoption of mask efficiency as 20%, 50% and 80% reduces the cumulative relative mortality to 41%, 79% and 94% respectively. On considering ei = e0 (99%) for N95 and surgical mask with ei = e0 (90%) the cumulative relative mortality was reduced by 97% and the use of N95 masks compared to using surgical masks is cost-saving of $24,361 (INR 0.002 billion) per 10,000 HCWs in a year. Discussion: Both considered interventions were dominant compared to no mask based on the model estimates. N95 masks were also dominant compared to surgical masks. [ABSTRACT FROM AUTHOR]

Background: Globally, Pediatric Intensive Care Unit (PICU) admissions are amongst the most expensive. In low middle-income countries, out of pocket expenditure (OOP) constitutes a major portion of the total expenditure. This makes it important to gain insights into the cost of pediatric intensive care. We undertook this study to calculate the health system cost and out of pocket expenditure incurred per patient during PICU stay.Methods: Prospective study conducted in a state of the art tertiary level PICU of a teaching and referral hospital. Bottom-up micro costing methods were used to assess the health system cost. Annual data regarding hospital resources used for PICU care was collected from January to December 2018. Data regarding OOP was collected from 299 patients admitted from July 2017 to December 2018. The latter period was divided into four intervals, each of four and a half months duration and data was collected for 1 month in each interval. Per patient and per bed day costs for treatment were estimated both from health system and patient's perspective.Results: The median (inter-quartile range, IQR) length of PICU stay was 5(3-8) days. Mean ± SD Pediatric Risk of Mortality Score (PRISM III) score of the study cohort was 22.23 ± 7.3. Of the total patients, 55.9% (167) were ventilated. Mean cost per patient treated was US$ 2078(₹ 144,566). Of this, health system cost and OOP expenditure per patient were US$ 1731 (₹ 120,425) and 352 (₹ 24,535) respectively. OOP expenditure of a ventilated child was twice that of a non- ventilated child.Conclusions: The fixed cost of PICU care was 3.8 times more than variable costs. Major portion of cost was borne by the hospital. Severe illness, longer ICU stay and ventilation were associated with increased costs. This study can be used to set the reimbursement package rates under Ayushman Bharat - Pradhan Mantri Jan Arogya Yojana (AB-PMJAY). Tertiary level intensive care in a public sector teaching hospital in India is far less expensive than developed countries. [ABSTRACT FROM AUTHOR]

Background: Cancer survivors experience a decrement in health-related quality of life (HRQoL) resulting from the disease as well as adverse effects of therapy. We evaluated the HRQoL of cancer patients, stratified by primary cancer site, stage, treatment response and associated adverse events, along with its determinants. Methods: Data were collected from 12,148 patients, sampled from seven purposively chosen leading cancer hospitals in India, to elicit HRQoL using the EuroQol questionnaire comprising of 5-dimensions and 5-levels (EQ-5D-5L). Multiple linear regression was used to determine the association between HRQoL and various socio-demographic as well as clinical characteristics. Results: Majority outpatients (78.4%) and inpatients (81.2%) had solid cancers. The disease was found to be more prevalent among outpatients (37.5%) and inpatients (40.5%) aged 45–60 years and females (49.3–58.3%). Most patients were found to be in stage III (40–40.6%) or stage IV (29.4–37.3%) at the time of recruitment. The mean EQ-5D-5 L utility score was significantly higher among outpatients [0.630 (95% CI: 0.623, 0.637)] as compared to inpatients [0.553 (95% CI: 0.539, 0.567)]. The HRQoL decreased with advancing cancer stage among both inpatients and outpatients, respectively [stage IV: (0.516 & 0.557); stage III (0.609 & 0.689); stage II (0.677 & 0.713); stage I (0.638 & 0.748), p value < 0.001]. The outpatients on hormone therapy (B = 0.076) showed significantly better HRQoL in comparison to patients on chemotherapy. However, palliative care (B=-0.137) and surgery (B=-0.110) were found to be associated with significantly with poorer HRQoL paralleled to chemotherapy. The utility scores among outpatients ranged from 0.305 (bone cancer) to 0.782 (Leukemia). Among hospitalized cases, the utility score was lowest for multiple myeloma (0.255) and highest for testicular cancer (0.771). Conclusion: Older age, lower educational status, chemotherapy, palliative care and surgery, advanced cancer stage and progressive disease were associated with poor HRQoL. Our study findings will be useful in optimising patient care, formulating individualized treatment plan, improving compliance and follow-up. [ABSTRACT FROM AUTHOR]

Majority of patients of hepatocellular carcinoma (HCC) in India present in advanced stages, when curative treatment options are limited. We undertook this study to assess the cost-effectiveness of treating advanced HCC patients with sorafenib compared with best supportive care (BSC). A Markov model was parameterized to model the lifetime costs and consequences of treating advanced HCC patients with sorafenib versus BSC using a societal perspective. Cost of routine care, diagnostics, management of complications in both the arms and management of adverse effects of sorafenib treatment were considered. A probabilistic sensitivity analysis was undertaken to assess the effect of parameter uncertainty. The incremental cost and benefit gained by treating HCC using sorafenib was Indian rupees 94,182 ($1459) and 0.19 quality adjusted life years (QALYs) per patient, implying an incremental cost of Indian rupees 507,520 ($7861) per QALY gained. Sorafenib is not cost-effective for use in advanced hepatocellular carcinoma treatment in India. [ABSTRACT FROM AUTHOR]