Cost-effective interventions to prevent non-communicable diseases: increasing the evidence base in India and other low- and middle-income settings
[...]in recent years, the government has taken several steps towards establishing the infrastructure for evidence-based priority setting and resource allocation [3], including the establishment of a body for Health Technology Assessment in India (HTAIn) within the Department of Health Research to co...
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| Vydáno v: | BMC medicine Ročník 18; číslo 1; s. 379 - 3 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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London
BioMed Central
09.12.2020
BioMed Central Ltd Springer Nature B.V BMC |
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| ISSN: | 1741-7015, 1741-7015 |
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| Abstract | [...]in recent years, the government has taken several steps towards establishing the infrastructure for evidence-based priority setting and resource allocation [3], including the establishment of a body for Health Technology Assessment in India (HTAIn) within the Department of Health Research to collate and generate evidence on the clinical efficacy and cost-effectiveness of new and existing health technologies and programs [4]. Levels of several critical risk behaviors, such as alcohol and tobacco use, low physical activity, and unhealthy diet are increasing in socioeconomic status and will require explicit intervention beyond economic development or access to curative care alone. Because the risk factors for chronic diseases are overlapping, the benefits of preventive interventions targeting them are likely to extend beyond preventing diabetes or any other single NCD. [...]the uncertainty analyses suggest that 80% or more of bootstrap estimates were cost-effective and that the ICERs remained below the cost-effectiveness threshold in sensitivity analyses moving the costs and effectiveness up or down by 10–30%. [...]many health conditions could be prevented if all middle-aged individuals adhered to lifestyles with high physical activity, healthy eating habits, no tobacco, limited alcohol, and adequate sleep—the risk factors targeted in K-DPP. [...]health-promoting interventions complement existing policy efforts to support healthy aging [10]. |
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| AbstractList | Keywords: Cost-effectiveness, Diabetes, Non-communicable diseases, India [...]in recent years, the government has taken several steps towards establishing the infrastructure for evidence-based priority setting and resource allocation [3], including the establishment of a body for Health Technology Assessment in India (HTAIn) within the Department of Health Research to collate and generate evidence on the clinical efficacy and cost-effectiveness of new and existing health technologies and programs [4]. Levels of several critical risk behaviors, such as alcohol and tobacco use, low physical activity, and unhealthy diet are increasing in socioeconomic status and will require explicit intervention beyond economic development or access to curative care alone. Because the risk factors for chronic diseases are overlapping, the benefits of preventive interventions targeting them are likely to extend beyond preventing diabetes or any other single NCD. [...]the uncertainty analyses suggest that 80% or more of bootstrap estimates were cost-effective and that the ICERs remained below the cost-effectiveness threshold in sensitivity analyses moving the costs and effectiveness up or down by 10–30%. [...]many health conditions could be prevented if all middle-aged individuals adhered to lifestyles with high physical activity, healthy eating habits, no tobacco, limited alcohol, and adequate sleep—the risk factors targeted in K-DPP. [...]health-promoting interventions complement existing policy efforts to support healthy aging [10]. |
| ArticleNumber | 379 |
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| Author | Eggleston, Karen Jain, Radhika |
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| Cites_doi | 10.1186/s12916-020-01704-9 10.1007/s40258-015-0201-6 10.1136/bmjopen-2017-017809 10.1016/S0140-6736(10)61188-9 10.1016/S0140-6736(07)61697-3 10.1016/S0140-6736(10)61514-0 10.1016/S0140-6736(10)61960-5 10.1136/bmjgh-2016-000259 |
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| References | 1850_CR4 M Cecchini (1850_CR6) 2010; 376 TA Gaziano (1850_CR7) 2007; 370 K Singh (1850_CR8) 2018; 8 1850_CR10 1850_CR9 V Patel (1850_CR5) 2011; 377 LE Downey (1850_CR3) 2017; 2 KS Reddy (1850_CR1) 2011; 377 S Prinja (1850_CR2) 2015; 13 32883279 - BMC Med. 2020 Sep 4;18(1):251 |
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| SubjectTerms | Alcohol Biomedicine Care and treatment Chronic diseases Chronic illnesses Correspondence Cost analysis Cost-Benefit Analysis Cost-effectiveness Diabetes Diabetes mellitus Diabetes Mellitus, Type 2 Disease prevention Economic aspects Economic development Estimates Health care expenditures Health care policy Health promotion Health risks Humans India India - epidemiology Intervention Life Style Lifestyles Low income groups Medical research Medicine Medicine & Public Health Medicine, Preventive Non-communicable diseases Noncommunicable Diseases - epidemiology Noncommunicable Diseases - prevention & control Physical activity Population Prevention Preventive health services Public health Resource allocation Risk analysis Risk factors Risk taking Sensitivity analysis Sleep Socioeconomics Systematic review Technology assessment Tobacco Uncertainty analysis |
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| Title | Cost-effective interventions to prevent non-communicable diseases: increasing the evidence base in India and other low- and middle-income settings |
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