Rationale and protocol for estimating the economic value of a multicomponent quality improvement strategy for diabetes care in South Asia.

Diabetes care Economic evaluation Multicomponent strategy Quality improvement South Asia

Journal

Global health research and policy
ISSN: 2397-0642
Titre abrégé: Glob Health Res Policy
Pays: England
ID NLM: 101705789

Informations de publication

Date de publication:
2019
Historique:
received: 15 01 2019
accepted: 05 03 2019
entrez: 30 3 2019
pubmed: 30 3 2019
medline: 30 3 2019
Statut: epublish

Résumé

Economic dimensions of implementing quality improvement for diabetes care are understudied worldwide. We describe the economic evaluation protocol within a randomised controlled trial that tested a multi-component quality improvement (QI) strategy for individuals with poorly-controlled type 2 diabetes in South Asia. This economic evaluation of the Centre for Cardiometabolic Risk Reduction in South Asia (CARRS) randomised trial involved 1146 people with poorly-controlled type 2 diabetes receiving care at 10 diverse diabetes clinics across India and Pakistan. The economic evaluation comprises both a within-trial cost-effectiveness analysis (mean 2.5 years follow up) and a microsimulation model-based cost-utility analysis (life-time horizon). Effectiveness measures include multiple risk factor control (achieving HbA1c < 7% and blood pressure < 130/80 mmHg and/or LDL-cholesterol< 100 mg/dl), and patient reported outcomes including quality adjusted life years (QALYs) measured by EQ-5D-3 L, hospitalizations, and diabetes related complications at the trial end. Cost measures include direct medical and non-medical costs relevant to outpatient care (consultation fee, medicines, laboratory tests, supplies, food, and escort/accompanying person costs, transport) and inpatient care (hospitalization, transport, and accompanying person costs) of the intervention compared to usual diabetes care. Patient, healthcare system, and societal perspectives will be applied for costing. Both cost and health effects will be discounted at 3% per year for within trial cost-effectiveness analysis over 2.5 years and decision modelling analysis over a lifetime horizon. Outcomes will be reported as the incremental cost-effectiveness ratios (ICER) to achieve multiple risk factor control, avoid diabetes-related complications, or QALYs gained against varying levels of willingness to pay threshold values. Sensitivity analyses will be performed to assess uncertainties around ICER estimates by varying costs (95% CIs) across public vs. private settings and using conservative estimates of effect size (95% CIs) for multiple risk factor control. Costs will be reported in US$ 2018. We hypothesize that the additional upfront costs of delivering the intervention will be counterbalanced by improvements in clinical outcomes and patient-reported outcomes, thereby rendering this multi-component QI intervention cost-effective in resource constrained South Asian settings. ClinicalTrials.gov: NCT01212328.

Sections du résumé

BACKGROUND BACKGROUND
Economic dimensions of implementing quality improvement for diabetes care are understudied worldwide. We describe the economic evaluation protocol within a randomised controlled trial that tested a multi-component quality improvement (QI) strategy for individuals with poorly-controlled type 2 diabetes in South Asia.
METHODS/DESIGN METHODS
This economic evaluation of the Centre for Cardiometabolic Risk Reduction in South Asia (CARRS) randomised trial involved 1146 people with poorly-controlled type 2 diabetes receiving care at 10 diverse diabetes clinics across India and Pakistan. The economic evaluation comprises both a within-trial cost-effectiveness analysis (mean 2.5 years follow up) and a microsimulation model-based cost-utility analysis (life-time horizon). Effectiveness measures include multiple risk factor control (achieving HbA1c < 7% and blood pressure < 130/80 mmHg and/or LDL-cholesterol< 100 mg/dl), and patient reported outcomes including quality adjusted life years (QALYs) measured by EQ-5D-3 L, hospitalizations, and diabetes related complications at the trial end. Cost measures include direct medical and non-medical costs relevant to outpatient care (consultation fee, medicines, laboratory tests, supplies, food, and escort/accompanying person costs, transport) and inpatient care (hospitalization, transport, and accompanying person costs) of the intervention compared to usual diabetes care. Patient, healthcare system, and societal perspectives will be applied for costing. Both cost and health effects will be discounted at 3% per year for within trial cost-effectiveness analysis over 2.5 years and decision modelling analysis over a lifetime horizon. Outcomes will be reported as the incremental cost-effectiveness ratios (ICER) to achieve multiple risk factor control, avoid diabetes-related complications, or QALYs gained against varying levels of willingness to pay threshold values. Sensitivity analyses will be performed to assess uncertainties around ICER estimates by varying costs (95% CIs) across public vs. private settings and using conservative estimates of effect size (95% CIs) for multiple risk factor control. Costs will be reported in US$ 2018.
DISCUSSION CONCLUSIONS
We hypothesize that the additional upfront costs of delivering the intervention will be counterbalanced by improvements in clinical outcomes and patient-reported outcomes, thereby rendering this multi-component QI intervention cost-effective in resource constrained South Asian settings.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov: NCT01212328.

Identifiants

pubmed: 30923749
doi: 10.1186/s41256-019-0099-x
pii: 99
pmc: PMC6421672
doi:

Banques de données

ClinicalTrials.gov
['NCT01212328']

Types de publication

Journal Article

Langues

eng

Pagination

7

Déclaration de conflit d'intérêts

Institutional ethics committees at each participating site and the research coordinating centres (Public Health Foundation of India and Emory University, USA) approved the study and all physicians and patients gave written informed consent prior to participating in this study.Not applicable.The authors declare that they have no competing interests.

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Auteurs

Kavita Singh (K)

Public Health Foundation of India, Center of Excellence - Center for CArdio-metabolic Risk Reduction in South Asia, 4th Floor, Plot No. 47, Sector 44, Institutional Area, Gurgaon, Haryana 122 002 India.
16Centre for Chronic Disease Control, C 1/52, Second Floor, Safdarjung Development Area, New Delhi, 110016 India.

Mohammed K Ali (MK)

2Rollins School of Public Health, Emory University, 1518 Clifton Road, Rm CNR 7041, Atlanta, GA 30322 USA.

Raji Devarajan (R)

Public Health Foundation of India, Center of Excellence - Center for CArdio-metabolic Risk Reduction in South Asia, 4th Floor, Plot No. 47, Sector 44, Institutional Area, Gurgaon, Haryana 122 002 India.
16Centre for Chronic Disease Control, C 1/52, Second Floor, Safdarjung Development Area, New Delhi, 110016 India.

Roopa Shivashankar (R)

16Centre for Chronic Disease Control, C 1/52, Second Floor, Safdarjung Development Area, New Delhi, 110016 India.

Dimple Kondal (D)

Public Health Foundation of India, Center of Excellence - Center for CArdio-metabolic Risk Reduction in South Asia, 4th Floor, Plot No. 47, Sector 44, Institutional Area, Gurgaon, Haryana 122 002 India.
16Centre for Chronic Disease Control, C 1/52, Second Floor, Safdarjung Development Area, New Delhi, 110016 India.

Vamadevan S Ajay (VS)

Public Health Foundation of India, Center of Excellence - Center for CArdio-metabolic Risk Reduction in South Asia, 4th Floor, Plot No. 47, Sector 44, Institutional Area, Gurgaon, Haryana 122 002 India.
16Centre for Chronic Disease Control, C 1/52, Second Floor, Safdarjung Development Area, New Delhi, 110016 India.

V Usha Menon (VU)

3Department of Endocrinology & Diabetes, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Ponekkara P.O., Kochi, Kerala 682 041 India.

Premlata K Varthakavi (PK)

Department of Endocrinology, TNM College & BYL Nair Charity Hospital, Dr. A. L. Nair Road, Mumbai Central, Mumbai, Maharashtra 400 008 India.

Vijay Viswanathan (V)

5MV Hospital for Diabetes & Diabetes Research Centre, No 4, West Madha Church Street, Royapuram, Chennai, Tamil Nadu 600 013 India.

Mala Dharmalingam (M)

Bangalore Endocrinology & Diabetes Research Centre, #35, 5th Cross, Malleswaram Circle, Bangalore, Karnataka 560 003 India.

Ganapati Bantwal (G)

7Department of Endocrinology, St. John's Medical College & Hospital, Sarjapur Road, Koramangala, Bangalore, Karnataka 560 034 India.

Rakesh Kumar Sahay (RK)

8Department of Endocrinology, Osmania General Hospital, 2nd Floor, Golden Jubilee Block, Afzalgunj, Hyderabad, Telangana 500 012 India.

Muhammad Qamar Masood (MQ)

9Department of Medicine, Section of Endocrinology and Diabetes, Aga Khan University, Stadium Road, Karachi, 74800 Pakistan.

Rajesh Khadgawat (R)

10Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, Biotechnology Block, 3rd Floor, Ansari Nagar, New Delhi, 110 029 India.

Ankush Desai (A)

11Endocrine Unit, Department of Medicine, Goa Medical College, Bambolim, Goa 403202 India.

Dorairaj Prabhakaran (D)

12Public Health Foundation of India, 4th Floor, Plot No. 47, Sector 44, Institutional Area, Gurgaon, Haryana 122 002 India.
16Centre for Chronic Disease Control, C 1/52, Second Floor, Safdarjung Development Area, New Delhi, 110016 India.
17London School of Hygiene and Tropical Medicine, Keppel St, Bloomsbury, London, WC1E 7HT UK.

K M Venkat Narayan (KMV)

13Rollins School of Public Health, Emory University, 1518 Clifton Road, Rm CNR 7049, Atlanta, GA 30322 USA.

Victoria L Phillips (VL)

14Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA 30322 USA.

Nikhil Tandon (N)

15Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, Biotechnology Block, 3rd Floor, Rm #312, Ansari Nagar, New Delhi, 110 029 India.

Classifications MeSH