Modeling the cost-effectiveness of school-based supervised toothbrushing program in reducing the dental caries burden in India.

BACKGROUND: Supervised toothbrushing (STB) significantly reduces the incidence and progression of dental caries. School years present a favorable age for introducing such healthy habits for a lifetime. AIM: To estimate the cost-effectiveness of implementing a STB program in India in preventing dental caries incidence. DESIGN: An operational framework of a national STB program was devised. A mathematical model was then developed to evaluate this program's clinical effectiveness and economic impact in the Indian scenario. This study considered a hypothetical cohort of the Indian population aged from 6 to 75 years. Two groups were compared: no intervention and STB in government schools. The health outcomes assessed were a number of tooth caries incidences averted and quality-adjusted life years gained. RESULTS: The STB program in the government schools of India would prevent at least one tooth from developing caries in an individual's lifetime. Considering the current treatment-seeking behavior, the STB program saves INR 153 (US$ 1.95) per carious tooth incidence averted and INR 22 202 (US$ 283) per QALY gained. CONCLUSION: In India, the school-based STB program is expected to be a cost-effective strategy for reducing the dental caries burden and its associated treatment costs.

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.

Health-related quality of life among breast cancer patients in India.

PURPOSE: This study evaluated the health-related quality of life (HRQoL) among breast cancer patients during various phases of treatment and with different treatment modalities, which helps in monitoring treatment outcomes, assessing the well-being of patients, and conducting health technology assessments. METHODS: A total of 534 interviews were conducted among the patients of breast cancer recruited at different stages of disease and with different treatment modalities. HRQoL was determined using EuroQoL five dimensions questionnaire with five levels (EQ-5D-5L), EuroQoL Visual Analogue Scale (EQ VAS), and the EORTC QLQ-BR23 instrument. The utility values were determined based on the Indian EQ-5D-5L value set. The socio-demographic and clinico-therapeutic determinants of HRQoL were evaluated using multiple linear regression. RESULTS: The mean utility value of breast cancer patients was 0.602 (SD = 0.311) and mean EQ VAS score was 75 (SD = 12.3). The mean utility value at diagnosis was 0.628, whereas utility value was 0.55, 0.595, and 0.64 for post-surgery, post-chemotherapy, and post-radiotherapy treatment groups, respectively. The most frequently reported problem was pain/discomfort (in 84.3% patients), followed by anxiety/depression (83.5%). On EORTC QLQ-BR23, the maximum symptom scale scores for systemic therapy side effects were reported in the post chemotherapy group. The body image score and future perspective score were better in patients undergoing breast conservative surgery (BCS) compared to patients undergoing modified radical mastectomy. Age, education, and employment status of the patient, type of treatment modality, and use of taxanes are the determinants of HRQoL in breast cancer patients. CONCLUSION: Clinical interventions should focus upon management of pain and anxiety. BCS should be offered to all eligible patients as it is associated with better HRQoL. Addressing the factors that independently affect the HRQoL will help in improving the treatment compliance and outcomes.

Cost-effectiveness analysis of 'test and treat' policy for antiretroviral therapy among heterosexual HIV population in India.

Background & objectives: The World Health Organisation recommended immediate initiation of antiretroviral therapy (ART) in all adult human immunodeficiency virus (HIV) patients regardless of their CD4 cell count. This study was undertaken to ascertain the cost-effectiveness of implementation of these guidelines in India. Methods: A Markov model was developed to assess the lifetime costs and health outcomes of three scenarios for initiation of ART treatment at varying CD4 cell count <350/mm[3], <500/mm[3] and test and treat using health system perspective using life-time horizon. A few input parameters for this model namely, transition probabilities from one stage to another stage of HIV and incidence rates of TB were calculated from the data of Centre of Excellence for HIV treatment and care, Chandigarh; whereas, other parameters were obtained from the published literature. Total HIV-related deaths averted, HIV infections averted and incremental cost-effectiveness ratio per quality adjusted life years (QALYs) gained were calculated. Result: Test and treat intervention slowed down the progression of disease and averted 18,386 HIV-related deaths, over lifetime horizon. It also averted 16,105 new HIV infections and saved 343,172 QALYs as compared to the strategy of starting ART at CD4 cell count of 500/mm[3]. Incremental cost per QALY gained for the immediate initiation of ART as compared to ART at CD4 cell count of 500/mm[3] and 350/mm[3] was ₹ 46,599 and 80,050, respectively at reported rates of adherence to the therapy. Interpretation & conclusions: Immediate ART (test and treat) is highly cost-effective strategy over the past criteria of delayed therapy in India. Cost-effectiveness of this policy is largely because of reduction in the transmission of HIV.

Health-related quality of life among cervical cancer patients in India.

INTRODUCTION: Estimation of health-related quality of life of cervical cancer patients in India is important in assessing the well-being of patients, monitor treatment outcomes, and conduct health technology assessments. However, health-related quality of life estimates for different stages of cervical cancer are not available for the Indian population. This study aims to generate stage-specific quality of life scores for cervical cancer patients in India. METHODS: A cross-sectional study using the EQ-5D (EuroQol 5-dimensions) instrument, that consists of the EQ-5D-5L descriptive system and the EuroQol Visual Analog Scale (EQ-VAS) was conducted. A total of 159 cervical cancer patients were interviewed. Mean EQ-5D-5L quality of life scores (utility scores) were calculated using the EQ-5D-5L index value calculator across different stages of cervical cancer. The proportion of patients reporting problems in different attributes of EQ-5D-5L was assessed. The impact of socio-economic determinants on health-related quality of life was evaluated using multiple linear regression. RESULTS: The mean EQ-5D-5L and EQ-VAS utility scores among patients of cervical cancer were 0.64 [95% CI=0.61-0.67] and 67.6 [95% CI=65.17-70.03], respectively. The most frequently reported problem among cervical cancer patients was pain/discomfort (61.88%), followed by difficulty in performing usual activities (53.81%), and anxiety/depression (41.26%). CONCLUSION: Cervical cancer significantly impacts the health-related quality of life of the patients in India. Clinical interventions should focus on the control of pain and relief of anxiety. The measurement of health-related quality of life should be an integral component of the effectiveness of interventions as well as health technology assessment.

Cost Effectiveness of Hematopoietic Stem Cell Transplantation Compared with Transfusion Chelation for Treatment of Thalassemia Major.

Hematopoietic stem cell transplantation (HSCT) is the only cure for thalassemia major (TM), which inflicts a significant 1-time cost. Hence, it is important to explore the cost effectiveness of HSCT versus lifelong regular transfusion-chelation (TC) therapy. This study was undertaken to estimate incremental cost per quality-adjusted life-year (QALY) gained with the intervention group HSCT, and the comparator group TC, in TM patients. A combination of decision tree and Markov model was used for analysis. A hospital database, supplemented with a review of published literature, was used to derive input parameters for the model. A lifetime study horizon was used and future costs and consequences were discounted at 3%. Results are presented using societal perspective. Incremental cost per QALY gained with use of HSCT as compared with TC was 64,096 (US$986) in case of matched related donor (MRD) and 1,67,657 (US$2579) in case of a matched unrelated donor transplantation. The probability of MRD transplant to be cost effective at the willingness to pay threshold of Indian per capita gross domestic product is 94%. HSCT is a long-term value for money intervention that is highly cost effective and its long-term clinical and economic benefits outweigh those of TC.

Cost-effectiveness of human papillomavirus vaccination for adolescent girls in Punjab state: Implications for India's universal immunization program.

BACKGROUND: Introduction of human papillomavirus (HPV) vaccination for adolescent girls is being considered in the Punjab state of India. However, evidence regarding cost-effectiveness is sought by policy makers when making this decision. The current study was undertaken to evaluate the incremental cost per quality-adjusted life-years (QALYs) gained with introduction of the HPV vaccine compared with a no-vaccination scenario. METHODS: A static progression model, using a combination of decision tree and Markov models, was populated using epidemiological, cost, coverage, and effectiveness data to determine the cost-effectiveness of HPV vaccination. Using a societal perspective, lifetime costs and consequences (in terms of QALYs) among a cohort of 11-year-old adolescent girls in Punjab state were modeled in 2 alternate scenarios with and without vaccination. All costs and consequences were discounted at a rate of 3%. RESULTS: Although immunizing 1 year's cohort of 11-year-old girls in Punjab state costs Indian National Rupees (INR) 135 million (US dollars [USD] 2.08 million and International dollars [Int$] 6.25 million) on an absolute basis, its net cost after accounting for treatment savings is INR 38 million (USD 0.58 million and Int$ 1.76 million). Incremental cost per QALY gained for HPV vaccination was found to be INR 73 (USD 1.12 and Int$ 3.38). Given all the data uncertainties, there is a 90% probability for the vaccination strategy to be cost-effective in Punjab state at a willingness-to-pay threshold of INR 10,000, which is less than one-tenth of the per capita gross domestic product. CONCLUSIONS: HPV vaccination appears to be a very cost-effective strategy for Punjab state, and is likely to be cost-effective for other Indian states. Cancer 2017;123:3253-60. © 2017 American Cancer Society.

Cost-Effectiveness of Ibrutinib for Chronic Lymphocytic Leukemia Treatment in India: Is Evidence Really at Crossroads?

In recent years, newer drugs, such as ibrutinib, have shown promising improvements in the survival of patients with chronic lymphocytic leukemia (CLL). Despite their effectiveness, concerns about their cost have arisen, prompting the need for an evaluation of their cost-effectiveness. However, recent assessments of ibrutinib's cost-effectiveness for treating CLL in India reveal divergent conclusions. The discord centers on divergent cost-effectiveness thresholds, comparator regimens, cost calculations, and outcome valuation approaches. Such discrepancies affect public health decisions and patient care. The recommendation calls for adherence to methodological guidelines by future studies, fostering consistent findings to empower policy makers and clinicians in leveraging economic evidence for informed decision making in CLL treatment strategies.

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.

Evaluating efficiency and equity of prevention and control strategies for rheumatic fever and rheumatic heart disease in India: an extended cost-effectiveness analysis.

BACKGROUND: There is a dearth of evidence on the cost-effectiveness of a combination of population-based primary, secondary, and tertiary prevention and control strategies for rheumatic fever and rheumatic heart disease. The present analysis evaluated the cost-effectiveness and distributional effect of primary, secondary, and tertiary interventions and their combinations for the prevention and control of rheumatic fever and rheumatic heart disease in India. METHODS: A Markov model was constructed to estimate the lifetime costs and consequences among a hypothetical cohort of 5-year-old healthy children. Both health system costs and out-of-pocket expenditure (OOPE) were included. OOPE and health-related quality-of-life were assessed by interviewing 702 patients enrolled in a population-based rheumatic fever and rheumatic heart disease registry in India. Health consequences were measured in terms of life-years and quality-adjusted life-years (QALY) gained. Furthermore, an extended cost-effectiveness analysis was undertaken to assess the costs and outcomes across different wealth quartiles. All future costs and consequences were discounted at an annual rate of 3%. FINDINGS: A combination of secondary and tertiary prevention strategies, which had an incremental cost of ₹23 051 (US$30) per QALY gained, was the most cost-effective strategy for the prevention and control of rheumatic fever and rheumatic heart disease in India. The number of rheumatic heart disease cases prevented among the population belonging to the poorest quartile (four cases per 1000) was four times higher than the richest quartile (one per 1000). Similarly, the reduction in OOPE after the intervention was higher among the poorest income group (29·8%) than among the richest income group (27·0%). INTERPRETATION: The combined secondary and tertiary prevention and control strategy is the most cost-effective option for the management of rheumatic fever and rheumatic heart disease in India, and the benefits of public spending are likely to be accrued much more by those in the lowest income groups. The quantification of non-health gains provides strong evidence for informing policy decisions by efficient resource allocation on rheumatic fever and rheumatic heart disease prevention and control in India. FUNDING: Department of Health Research, Ministry of Health and Family Welfare, New Delhi.

Health-related quality of life among Indian population: The EQ-5D population norms for India.

Background: The EuroQol 5 dimensions (EQ-5D) is the most used generic health-related quality of life (HRQoL) instrument for measuring population health and health outcomes. Since there are no EuroQol 5 dimensions 5 levels (EQ-5D-5L) population norms available for India, this study developed the Indian population norms for the EQ-5D-5L. The potential influencing factors of HRQoL of the Indian population have been identified. Methods: The data was collected alongside the Indian EQ-5D-5L valuation study (Development of an EQ-5D Value Set for India Using an Extended Design: DEVINE Study). A cross-sectional survey of 3548 adult respondents was conducted across five states of India, in which respondents were asked to report their own health states using the EQ-5D-5L descriptive system and the EuroQol Visual Analog Scale (EQ VAS). The utility score was calculated using the EQ-5D-5L value set based on the preferences of the Indian population. Norm scores were generated for age, sex, and other important socio-demographic variables. The proportion of patients reporting problems in different dimensions of EQ-5D-5L was assessed. The impact of socio-economic determinants on health-related quality of life was evaluated using multiple linear regression. Results: The mean EQ VAS score of the Indian population is 75.18 (95% confidence interval (CI) = 74.50-75.90), whereas mean utility score is 0.848 (95% CI = 0.840-0.857). The EQ VAS scores, and utility scores decreased with age. Males reported higher EQ VAS values than females. The highest mean utility score was observed for males of <20 years (0.936), whereas the lowest mean score was observed for females of >70 years (0.488). The mean VAS score ranged between 85.24 for females of <20 years and 50.67 for females of >70 years. Highest problems were reported in the dimension of "pain / discomfort", closely followed by "anxiety / depression". Age, educational qualification, marital status, substance abuse, presence of ailments, state / region of residence, number of dependent members in the household, and time spent on mobile are the significant determinants of HRQoL of Indian population. Conclusions: These population norms will be used as reference values for comparative purposes in future Indian studies. Economic evaluations can use these average age-specific HRQoL population norms to value the health-state of not having the specific disease under investigation.

Depression, Anxiety, and Quality of Life in Patients Treated with Single Infusion Tocilizumab for COVID-19: A Follow-up, Controlled Study.

Background: The inflammatory state that characterizes COVID-19 may contribute to depression, anxiety, other morbidities, and mortality. Interleukin-6 blocker tocilizumab has been used as a treatment modality in COVID-19 as an anti-inflammatory agent. Tocilizumab has also been studied for its potential use in preventing depression in other patient groups, with mixed results. This study was designed to study subsequent depression, anxiety, and quality of life (QOL) in patients treated with tocilizumab plus standard care versus standard care alone, for moderate to severe COVID-19 pneumonia. Methods: Patients admitted with moderate to severe COVID pneumonia, treated with tocilizumab plus standard treatment, and discharged from the hospital were identified. Age- and gender-matched controls who had received standard treatment alone for COVID-19 pneumonia during the same time frame were identified. After obtaining consent, these patients were followed up and assessed at 3 and 6 months on measures of depression (PHQ-9), anxiety (GAD-7), and QOL (EQ-5D-5L). Results: 39 patients in the tocilizumab group and 41 in the control group were followed up at 3 and 6 months. Patients in both groups were comparable in sociodemographic and clinical parameters. The prevalence of clinically significant depression in the tocilizumab group at 3 and 6 months was 33.33% and 5.12%, respectively, whereas in control group it was 31.7% and 4.87%, respectively. Analysis of EQ-5D health profiles revealed that the maximum problems were reported in the dimension of mobility: 43.7% at 3 months and 35% at 6 months. Conclusions: Depressive and anxiety symptoms and impairment in QOL were reported more frequently and with greater severity in patients in the tocilizumab group at three months but not at six months. Psychological morbidity and impairment in QOL were modest and improved from 3 to 6 months.

Protocol for estimating the willingness-to-pay-based value for a quality-adjusted life year to aid health technology assessment in India: a cross-sectional study.

INTRODUCTION: To ensure that the evidence generated by health technology assessment (HTA) is translated to policy, it is important to generate a threshold value against which the outcomes of HTA studies can be compared. In this context, the present study delineates the methods that will be deployed to estimate such a value for India. METHODS AND ANALYSIS: The proposed study will deploy a multistage sampling approach considering economic and health status for selection of states, followed by selection of districts based on Multidimensional Poverty Index (MPI) and identification of primary sampling units (PSUs) using the 30-cluster approach. Further, households within PSU will be identified using systematic random sampling and block randomisation based on gender will be done to select respondent from the household. A total of 5410 respondents will be interviewed for the study. The interview schedule will comprise of three sections including background questionnaire to elicit socioeconomic and demographic characteristics, followed by assessment of health gains, and willingness to pay (WTP). To assess the health gains and corresponding WTP, the respondent will be presented with hypothetical health states. Using time trade off method, the respondent will indicate the amount of time he/she is willing to give up at the end of life to avoid morbidities in the hypothetical health condition. Further, respondents will be interviewed about their WTP for treatment of respective hypothetical conditions using contingent valuation technique. These estimates of health gains and corresponding WTP will then be combined to ascertain the value of WTP per quality-adjusted life year. ETHICS AND DISSEMINATION: The ethical approval has been obtained from the Institutional Ethics Committee (IEC) of Postgraduate Institute of Medical Education and Research, Chandigarh, India. The study outcomes will be made available for general use and interpretation of HTA studies commissioned by India's central HTA Agency.

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.

Modelling the impact of increase in sugar prices on dental caries in India.

OBJECTIVES: This study aims to assess the impact of raising the price of sugar and/or sugar-sweetened beverages (SSBs) on caries incidence in the Indian population. METHODS: A tooth-level decision-analytic model was developed to evaluate a change in caries increment after increasing the price of Sugar and SSBs. The transition of a tooth from a caries-free state to the state of tooth loss in both scenarios was modelled with the help of a Markov model for a time horizon of 63 years, ranging from 2021 to 2083 for the 12-year-old population cohort of India. A conceptual framework was designed to implicate the possible effects of an increase in sugar prices on the reduction of caries incidence. Health effects were estimated in terms of the number of carious lesions and tooth-loss in both the scenarios and modelled as a product of the dose-response relationship between sugar intake and caries incidence. The model was thus used to establish the number of caries lesions prevented, and tooth-loss avoided. Uncertainties in the parameters were assessed using probabilistic sensitivity analysis. The Monte Carlo method was used for simulating the results 999 times. RESULTS: A 20% rise in the price of sugar is expected to result in the prevention of an average of 1.32 teeth in a lifetime of an individual and prevent 27.96 million tooth-loss incidents among the population cohort of India that will eventually lead to a saving of INR (₹) 3116.32 billion (US$ 42.69 billion) on account of dental caries treatment. Similarly, increasing-price of SSBs by 20% will lead to a 0.86% reduction in carious teeth incidence in an individual's lifetime. CONCLUSION: Increasing the cost of sugar and/or SSBs will reduce the daily intake of sugar, which will reduce caries incidence and subsequent progression, thereby preventing caries-attributed tooth-loss and saving treatment costs.

Peritoneal dialysis-first initiative in India: a cost-effectiveness analysis.

BACKGROUND: The increasing burden of kidney failure (KF) in India necessitates provision of cost-effective kidney replacement therapy (KRT). We assessed the comparative cost-effectiveness of initiating KRT with peritoneal dialysis (PD) or haemodialysis (HD) in the Indian context. METHODS: The cost and clinical effectiveness of starting KRT with either PD or HD were measured in terms of life years (LYs) and quality-adjusted life years (QALYs) using a mathematical Markov model. Complications such as peritonitis, vascular access-related complications and blood-borne infections were considered. Health system costs, out-of-pocket expenditures borne by patients and indirect costs were included. Two scenarios were considered: Scenario 1 (real-world scenario)-as per the current cost and utilization patterns; Scenario 2 (public programme scenario)-use in the public sector as per Pradhan Mantri National Dialysis Programme (PMNDP) guidelines. The lifetime costs and health outcomes among KF patients were assessed. RESULTS: The mean QALYs lived per KF person with PD and HD were estimated to be 3.3 and 1.6, respectively. From a societal perspective, a PD-first policy is cost-saving as compared with an HD-first policy in both Scenarios 1 and 2. If only the costs directly attributable to patient care (direct costs) are considered, the PD-first treatment policy is estimated to be cost-effective only if the price of PD consumables can be brought down to INR70/U. CONCLUSIONS: PD as initial treatment is a cost-saving option for management of KF in India as compared with HD first. The government should negotiate the price of PD consumables under the PMNDP.

Cost-effectiveness of population-based screening for diabetes and hypertension in India: an economic modelling study.

BACKGROUND: India faces a high burden of diabetes and hypertension. Currently, there is a dearth of economic evidence about screening programmes, affected age groups, and frequency of screening for these diseases in Indian settings. We assessed the cost effectiveness of population-based screening for diabetes and hypertension compared with current practice in India for different scenarios, according to type of screening test, population age group, and pattern of health-care use. METHODS: We used a hybrid decision model (decision tree and Markov model) to estimate the lifetime costs and consequences from a societal perspective. A meta-analysis was done to assess the effectiveness of population-based screening. Primary data were collected from two Indian states (Haryana and Tamil Nadu) to assess the cost of screening. The data from the National Health System Cost Database and the Costing of Health Services in India study were used to determine the health system cost of diagnostic tests and cost of treating diabetes or hypertension and their complications. A total of 962 patients were recruited to assess out-of-pocket expenditure and quality of life. Parameter uncertainty was evaluated using univariate and multivariable probabilistic sensitivity analyses. Finally, we estimated the incremental cost per quality-adjusted life-year (QALY) gained with alternative scenarios of scaling up primary health care through a health and wellness centre programme for the treatment of diabetes and hypertension. FINDINGS: The incremental cost per QALY gained across various strategies for population-based screening for diabetes and hypertension ranged from US$0·02 million to $0·03 million. At the current pattern of health services use, none of the screening strategies of annual screening, screening every 3 years, and screening every 5 years was cost-effective at a threshold of 1-time per capita gross domestic product in India. In the scenario in which health and wellness centres provided primary care to 20% of patients who were newly diagnosed with uncomplicated diabetes or hypertension, screening the group aged between 30 and 65 years every 5 years or 3 years for either diabetes, hypertension, or a comorbid state (both diabetes and hypertension) became cost-effective. If the share of treatment for patients with newly diagnosed uncomplicated diabetes or hypertension at health and wellness centres increases to 70%, from the existing 4% at subcentres and primary health centres, annual population-based screening becomes a cost saving strategy. INTERPRETATION: Population-based screening for diabetes and hypertension in India could potentially reduce time to diagnosis and treatment and be cost-effective if it is linked to comprehensive primary health care through health and wellness centres for provision of treatment to patients who screen positive. FUNDING: Department of Health Research, Government of India.