Rationale, Design and Baseline Characteristics of a Randomized Controlled Trial of a Cardiovascular Quality Improvement Strategy in India: The C-QIP Trial.


Journal

American heart journal
ISSN: 1097-6744
Titre abrégé: Am Heart J
Pays: United States
ID NLM: 0370465

Informations de publication

Date de publication:
19 Jul 2024
Historique:
received: 26 01 2024
revised: 15 07 2024
accepted: 15 07 2024
medline: 22 7 2024
pubmed: 22 7 2024
entrez: 21 7 2024
Statut: aheadofprint

Résumé

Quality of chronic care for cardiovascular disease (CVD) remains suboptimal worldwide. The Collaborative Quality ImProvement (C-QIP) trial aims to develop and test the feasibility and clinical effect of a multicomponent strategy among patients with prevalent CVD in India. The C-QIP is a clinic-based, open randomized trial of a multicomponent intervention versus usual care that was locally developed and adapted for use in Indian settings through rigorous formative research guided by Consolidated Framework for Implementation Research (CFIR). The C-QIP intervention consisted of 5 components: 1) electronic health records and decision support system for clinicians, 2) trained non-physician health workers (NPHW), 3) text-message based lifestyle reminders, 4) patient education materials, 5) quarterly audit and feedback reports. Patients with CVD (ischemic heart disease, ischemic stroke, or heart failure) attending outpatient CVD clinics were recruited from September 2022 to September 2023 and were randomized to the intervention or usual care arm for at least 12 months follow-up. The co-primary outcomes are implementation feasibility, fidelity (i.e., dose delivered and dose received), acceptability, adoption and appropriateness, measured at multiple levels: patient, provider and clinic site-level, The secondary outcomes include prescription of guideline directed medical therapy (GDMT) (provider-level), and adherence to prescribed therapy, change in mean blood pressure (BP) and LDL-cholesterol between the intervention and control groups (patient-level). In addition, a trial-based process and economic evaluations will be performed using standard guidelines. We recruited 410 socio-demographically diverse patients with CVD from four hospitals in India. Mean (SD) age was 57.5 (11.7) years, and 73.0% were males. Self-reported history of hypertension (48.5%) and diabetes (41.5%) was common. At baseline, mean (SD) BP was 127.9 (18.2) /76.2 (11.6) mm Hg, mean (SD) LDLc: 80.3 (37.3) mg/dl and mean (SD) HbA1c: 6.8% (1.6%). At baseline, the GDMT varied from 62.4% for patients with ischemic heart disease, 48.6% for ischemic stroke and 36.1% for heart failure. This study will establish the feasibility of delivering contextually relevant, and evidence-based C-QIP strategy and assess whether it is acceptable to the target populations. The study results will inform a larger scale confirmatory trial of a comprehensive CVD care model in low-resource settings. Clinical Trials Registry India: CTRI/2022/04/041847; Clinicaltrials.gov number: NCT05196659.

Sections du résumé

BACKGROUND BACKGROUND
Quality of chronic care for cardiovascular disease (CVD) remains suboptimal worldwide. The Collaborative Quality ImProvement (C-QIP) trial aims to develop and test the feasibility and clinical effect of a multicomponent strategy among patients with prevalent CVD in India.
METHODS METHODS
The C-QIP is a clinic-based, open randomized trial of a multicomponent intervention versus usual care that was locally developed and adapted for use in Indian settings through rigorous formative research guided by Consolidated Framework for Implementation Research (CFIR). The C-QIP intervention consisted of 5 components: 1) electronic health records and decision support system for clinicians, 2) trained non-physician health workers (NPHW), 3) text-message based lifestyle reminders, 4) patient education materials, 5) quarterly audit and feedback reports. Patients with CVD (ischemic heart disease, ischemic stroke, or heart failure) attending outpatient CVD clinics were recruited from September 2022 to September 2023 and were randomized to the intervention or usual care arm for at least 12 months follow-up. The co-primary outcomes are implementation feasibility, fidelity (i.e., dose delivered and dose received), acceptability, adoption and appropriateness, measured at multiple levels: patient, provider and clinic site-level, The secondary outcomes include prescription of guideline directed medical therapy (GDMT) (provider-level), and adherence to prescribed therapy, change in mean blood pressure (BP) and LDL-cholesterol between the intervention and control groups (patient-level). In addition, a trial-based process and economic evaluations will be performed using standard guidelines.
RESULTS RESULTS
We recruited 410 socio-demographically diverse patients with CVD from four hospitals in India. Mean (SD) age was 57.5 (11.7) years, and 73.0% were males. Self-reported history of hypertension (48.5%) and diabetes (41.5%) was common. At baseline, mean (SD) BP was 127.9 (18.2) /76.2 (11.6) mm Hg, mean (SD) LDLc: 80.3 (37.3) mg/dl and mean (SD) HbA1c: 6.8% (1.6%). At baseline, the GDMT varied from 62.4% for patients with ischemic heart disease, 48.6% for ischemic stroke and 36.1% for heart failure.
CONCLUSION CONCLUSIONS
This study will establish the feasibility of delivering contextually relevant, and evidence-based C-QIP strategy and assess whether it is acceptable to the target populations. The study results will inform a larger scale confirmatory trial of a comprehensive CVD care model in low-resource settings.
TRIAL REGISTRATION BACKGROUND
Clinical Trials Registry India: CTRI/2022/04/041847; Clinicaltrials.gov number: NCT05196659.

Identifiants

pubmed: 39033994
pii: S0002-8703(24)00174-1
doi: 10.1016/j.ahj.2024.07.008
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT05196659']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest MDH has received travel support from the American Heart Association and World Heart Federation and consulting fees from PwC Switzerland. MDH has an appointment at The George Institute for Global Health, which has a patent, license, and has received investment funding with intent to commercialize fixed-dose combination therapy through its social enterprise business, George Medicines. MDH has pending patents for heart failure polypills.

Auteurs

Kavita Singh (K)

Public Health Foundation of India, New Delhi, India; Heidelberg Institute of Global Health, Heidelberg University, Germany; Centre for Chronic Disease Control, New Delhi, India. Electronic address: kavita@ccdcindia.org.

Kalyani Nikhare (K)

Public Health Foundation of India, New Delhi, India.

Mareesha Gandral (M)

Public Health Foundation of India, New Delhi, India.

Kiran Aithal (K)

SDM College of Medical Sciences and Hospital, Karnataka, India.

Satish G Patil (SG)

SDM College of Medical Sciences and Hospital, Karnataka, India.

Girish Mp (G)

GB Pant Hospital, New Delhi, India.

Mohit Gupta (M)

GB Pant Hospital, New Delhi, India.

Kushal Madan (K)

Sir Ganga Ram Hospital, New Delhi, India.

Jps Sawhney (J)

Sir Ganga Ram Hospital, New Delhi, India.

Kamar Ali (K)

All India Institute of Medical Sciences (AIIMS), New Delhi, India.

Dimple Kondal (D)

Centre for Chronic Disease Control, New Delhi, India.

Devraj Jindal (D)

Centre for Chronic Disease Control, New Delhi, India.

Emily Mendenhall (E)

Georgetown University, Washington, D.C., USA.

Shivani A Patel (SA)

Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, USA.

Km Venkat Narayan (KV)

Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, USA.

Nikhil Tandon (N)

All India Institute of Medical Sciences (AIIMS), New Delhi, India.

Ambuj Roy (A)

All India Institute of Medical Sciences (AIIMS), New Delhi, India.

Mark D Huffman (MD)

Washington University School of Medicine, St. Louis, USA; The George Institute for Global Health, University of New South Wales, Sydney, Australia; Northwestern University, Chicago, USA.

Dorairaj Prabhakaran (D)

Public Health Foundation of India, New Delhi, India; Centre for Chronic Disease Control, New Delhi, India.

Classifications MeSH