ArticleJAMA network open2022
Components of Out-of-Pocket Expenditure and Their Relative Contribution to Economic Burden of Diseases in India.
Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Out-of-pocket expenditure on medicine for chronic patients and its economic impact on Indian households: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Understanding out-of-pocket expenditure in India: a systematic review.Frontiers in public health · 2025Pooled it
- PROTOCOL: Evidence and Gap Map of Studies of the Effects of Health Interventions to Reduce Out-of-Pocket Expenses.Campbell systematic reviews · 2026Article
- Observational
- One size does not fit all: income-sensitive thresholds for catastrophic health expenditure.Health policy and planning · 2026Article
- Use of public primary care facilities, economic development, and the health service transition.Journal of global health · 2026Article
- Article
- Financial Burden of General Surgeries by Insurance Status: A Single-Center Case Study from a Quaternary Care Teaching Hospital in Karnataka, India.Healthcare (Basel, Switzerland) · 2026Article
- Out-of-pocket expenditure experienced by couples seeking In Vitro Fertilization (IVF) services at tertiary care facilities in India.PloS one · 2026Observational
- Prevalence and Intensity of Catastrophic Health Expenditure Among Residents in a Multiethnic Province in China: Cross-Sectional Study.JMIR public health and surveillance · 2025Article
- Economic burden and economic impact of oral diseases in India: a protocol for a systematic review.BMJ open · 2025Article
- Unmet Need for Completing the Antenatal Care Continuum Among Pregnant Women in Rural India: A Mixed-Methods Study.Cureus · 2025Article
- Socioeconomic health and impact of sickle cell disease and vaso-occlusive crises in India: results from B-VOCAL study.BMJ global health · 2025Observational
- Assessment of out-of-pocket (OOP) expenditures on essential medicines for acute and chronic illness: a comparative study across regional and socioeconomic groups in India.BMC public health · 2025Article
- Private provider practices and incentives for hypertension management in rural and peri-urban Telangana, India- a qualitative study.BMC health services research · 2024Article
- "International journal of environmental research and public health · 2024Article
- Access and barriers to genomic classifiers for breast cancer and prostate cancer in India.International journal of cancer · 2024Review
- What is the coverage of your health insurance plan? An audit of hospital billing.AIMS public health · 2024Article
- Factors Required to Develop Strategic Purchasing for Diagnostic Imaging Services: An Expert Opinion.Medical journal of the Islamic Republic of Iran · 2024Article
- Determinants of out-of-pocket expenditure on medicines among adults in Saudi Arabia: a cross-sectional study.Frontiers in medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: High out-of-pocket expenditure (OOPE) on health in India may limit achieving universal health coverage. A clear insight on the components of health expenditure may be necessary to make allocative decisions to reduce OOPE, and such details by sociodemographic group and state have not been studied in India. Objective: To analyze the relative contribution of drugs, diagnostic tests, doctor and surgeon fees, and expenditure on other medical services and nonmedical health-related services, such as transport, lodging, and food, by sociodemographic characteristics of patients, geography, and type of illness. Design, Setting, and Participants: A population-based cross-sectional health consumption survey conducted by the National Sample Survey Organisation in 2018 was analyzed in this cross-sectional study. Respondents who provided complete information on costs of medicine, doctors, diagnostics tests, other medical costs, and nonmedical costs were selected. Data were analyzed from August through September 2021. Main Outcomes and Measures: Mean and median share of components (ie, medicine, diagnostic tests, doctor fees, other medical costs, and nonmedical costs) in total health care expenditure and income were calculated. Bivariate survey-weighted mean (with 95% CI) and median (IQR) expenditures were calculated for each component across sociodemographic characteristics. The proportion of total expenditure and income contributed by each cost was calculated for each individual. Mean and median were then used to summarize such proportions at the population level. The association between state net domestic product per capita and component share of each health care service was graphically explored. Results: Health expenditure details were analyzed for 43 781 individuals for inpatient costs (27 272 [64.3%] women; 26 830 individuals aged 25-64 years [59.9%]) and 8914 individuals for outpatient costs (4176 [48.2%] women; 4901 individuals aged 25-64 years [54.2%]); most individuals were rural residents (24 106 inpatients [67.0]; 4591 outpatients [63.9%]). Medicines accounted for a mean of 29.1% (95% CI, 28.9%-29.2%) of OOPE among inpatients and 60.3% (95% CI, 59.7%-60.9%) of OOPE among outpatients. Doctor consultation charges were a mean of 15.3% (95% CI, 15.1%-15.4%) of OOPE among inpatients and 12.4% (95% CI, 12.1%-12.6%) of OOPE among outpatients. Diagnostic tests accounted for a mean of 12.3% (95% CI, 12.2%-12.4%) of OOPE for inpatient and 9.2% (95% CI, 8.9%-9.5%) of OOPE for outpatient services. Nonmedical costs accounted for a mean of 23.6% (95% CI, 23.3%-23.8%) of OOPE among inpatients and 14.6% (95% CI, 14.1%-15.1%) of OOPE among outpatients. Mean share of OOPE from doctor consultations and diagnostic test charges increased with socioeconomic status. For example, for the lowest vs highest monthly per capita income quintile among inpatients, doctor consultations accounted for 11.5% (95% CI, 11.1%-11.8%) vs 21.2% (95% CI, 20.8%-21.6%), and diagnostic test charges accounted for 10.9% (95% CI, 10.6%-11.1%) vs 14.3% (95% CI, 14.0%-14.5%). The proportion of mean annual health expenditure from mean annual income was $299 of $1918 (15.6%) for inpatient and $391 of $1788 (21.9%) for outpatient services. Conclusions and Relevance: This study found that nonmedical costs were significant, share of total health care OOPE from doctor consultation and diagnostic test charges increased with socioeconomic status, and annual cost as a proportion of annual income was lower for inpatient than outpatient services.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.