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Objectives: The main objective of this review is to summarize the evidence on the core modelling specifications and methodology on the cost-effectiveness of TKR compared to non-surgical management. Another objective of this study is to synthesize evidence of TKR cost and compare it across countries using purchasing power parity (PPP). Methodology: The electronic databases used for this review were MEDLINE (PubMed), Cochrane Central Register of Controlled Trials (CENTRAL), HTAIn repository, Cost effectiveness Analysis (CEA) registry, and Google Scholar. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) was used to assess the validity of the methods and transparency in reporting the results. The Quality of Health Economic Studies (QHES) was used to check the quality of economic evaluation models of the studies included. The cost of TKR surgery from high income and low- or middle-income countries were extracted and converted to single USD ($) using purchasing power parities (PPP) method. Result: Thirty-two studies were included in this review, out of which eight studies used Markov model, five used regression model, one each reported Marginal structure model, discrete simulation model, decision tree and Osteoarthritis Policy Model (OAPol) respectively to assess the cost-effectiveness of TKR. For PPP, twenty-six studies were included in the analysis of TKR cost. The average cost of TKR surgery was the lowest in developing country—India ($3457) and highest in USA ($19568). Conclusion: The findings of this review showed that the Markov model was most widely used in the analysis of the cost effectiveness of TKR. Our review also concluded that the cost of TKR was higher in the developed countries as compared to the developing countries. [ABSTRACT FROM AUTHOR]

Objective: Despite several government initiatives aimed at improving public healthcare services, private-sector has been a dominant player in most of the Indian states. Limited evidence is available on the factors that influence the choice of using public or private health services, which assume significance in the present context, when the government is willing to purchase care from the private providers. This subject is further explored in the paper by using the 71st round of National Sample Survey, 'Key Indicators of Social consumption in India Health', 2014. Data sources/study setting: The analysis included 15 major states of India, dividing them into three groups: low-, middle- and high-income, using average GSDP per capita. We further used multi-variate regression to examine the factors explaining the utilization of either public or private facility. Findings and conclusion: The utilization of public facilities for outpatient and inpatient services was found to be very low, except Assam and Odisha, which attributed to the poor quality of care and long waiting hours. Caste, education and wealth quintiles were the main factors explaining the choice of either public or private facility and strength of association between socio-economic variables and their utilization that varied across 3-categories of states. [ABSTRACT FROM AUTHOR]

Over the years, national and sub-national governments have introduced several initiatives to improve access to maternal and child health services in India. However, financial barriers have posed major constraints. Based upon the data of National Family Health Survey (NFHS) round 4 for Odisha state, our paper examines the out-of-pocket expenditure (OOPE) borne by households for accessing maternal and child healthcare services in a low resource setting of India. We have interpreted results of NFHS-4 by drawing inferences from literature for understanding the rising OOPE in the public health system. Findings suggests that OOPE is considerably high for maternal and child health conditions in Odisha and ranks fifth, despite the coverage of 72% women under Janani Suraksha Yojana (JSY), a condition cash transfer scheme with majority utilizing the public health system. The high OOPE on child delivery raises numerous pertinent questions about the effectiveness of the public health delivery system, and thus requires financial protection in the interest of the population that accesses public health systems in the state. [ABSTRACT FROM AUTHOR]

Introduction: The burden of diabetes mellitus (DM) is increasing in India and across states. Given the chronic and progressive nature of the disease, it implicates huge financial burden on patients. Given this, the objectives of this study are to estimate the out‑of‑pocket (OOP) expenditure on diabetes care and assess the magnitude of medication adherence among patients in a public hospital. Materials and Methods: A cross‑sectional survey was conducted among 206 patients with age ≥25 years visiting the outpatient department of a tertiary care hospital in Odisha. Cost data were collected from April to June 2016 using a structured questionnaire, and drug adherence was assessed using the Morisky Medication Adherence Scale. Results: The average total expenditure per patient per month was INR 1265 (95% confidence interval 1178–1351), of which medical expenditure was INR 993 (95 confidence interval 912–1075) and that of nonmedical expenditure was INR 271 (95 confidence interval 251–292). Expenditure on medicine constituted around 65% of total medical expenditure. The other drivers of medical expenditure were diagnostics services constituting 13.2% and transportation (11.8%). Overall, only 15% of the patients reported high adherence to medication. Discussion: This study generated evidence on OOP expenditure on diabetics in Odisha which are comparable to many Indian studies. One of the critical findings of this study was that a majority of patients visiting public hospitals had to spend OOP on medicine and diagnostic services. These findings could be used to design appropriate financing strategies to protect the interest of the poor who largely use public health facility in Odisha. [ABSTRACT FROM AUTHOR]

Background: Out of pocket expenditure (OOPE) for any illness is still a major problem in India. Several evidence is available regarding growing OOPE and its impact on household poverty. However, limited evidence is there regarding OOPE on multiple disease conditions in public hospitals. Aim: To estimate the OOPE for various hospitalized conditions at the secondary level of care in Odisha and find out various financial coping mechanisms adopted by the patients. Methods: The primary survey was done in the secondary care hospitals in the two districts of Odisha using a semi-structured interview schedule. Data were collected from 284 subjects (212 males, 72 females) in 2014 on the socioeconomic status and OOPE on multiple disease conditions. Descriptive statistics using Stata Version 11 were used to estimate the results. Results: The mean total OOPE was Indian Rupees (INR) 2107 (95% confidence interval [CI]: 1788-2426) for single episode of hospitalization out of which medical expenditure was INR 1530 (95% CI: 1238-1821) and nonmedical expenditure was INR 577 (95% CI: 501-653). The OOPE on surgical conditions was 1.7 times more than the nonsurgical conditions. Drugs and diagnostics were the major components of hospital expenditure, whereas the share of transportation expenditure was more in the nonmedical expenditure. Further, most of the patients had to face hardship financing due to limited financial protection measures. Conclusions: With the growing debate on the rolling out of universal health insurance scheme in India, this study assumes significance by providing critical information for designing public financing strategies to protect the interest of the poor in public health care institutions. [ABSTRACT FROM AUTHOR]