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Pardo Y, Garin O, Oriol C, Zamora V, Ribera A, Ferrer M. Patient-centered care in Coronary Heart Disease: what do you want to measure? A systematic review of reviews on patient-reported outcome measures. Qual Life Res 2022; 32:1405-1425. [PMID: 36350473 PMCID: PMC10123044 DOI: 10.1007/s11136-022-03260-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/15/2022] [Indexed: 11/11/2022]
Abstract
Abstract
Background
The number of published articles on Patient-Reported Outcomes Measures (PROMs) in Coronary Heart Disease (CHD), a leading cause of disability-adjusted life years lost worldwide, has been growing in the last decades. The aim of this study was to identify all the disease-specific PROMs developed for or used in CHD and summarize their characteristics (regardless of the construct), to facilitate the selection of the most adequate one for each purpose.
Methods
A systematic review of reviews was conducted in MEDLINE, Scopus, and the Cochrane Database of Systematic Reviews. PROQOLID and BiblioPRO libraries were also checked. PROMs were classified by construct and information was extracted from different sources regarding their main characteristics such as aim, number of items, specific dimensions, original language, and metric properties that have been assessed.
Results
After title and abstract screening of 1224 articles, 114 publications were included for full text review. Finally, we identified 56 PROMs: 12 symptoms scales, 3 measuring functional status, 21 measuring Health-Related Quality of Life (HRQL), and 20 focused on other constructs. Three of the symptoms scales were specifically designed for a study (no metric properties evaluated), and only five have been included in a published study in the last decade. Regarding functional status, reliability and validity have been assessed for Duke Activity Index and Seattle Angina Questionnaire, which present multiple language versions. For HRQL, most of the PROMs included physical, emotional, and social domains. Responsiveness has only been evaluated for 10 out the 21 HRQL PROMs identified. Other constructs included psychological aspects, self-efficacy, attitudes, perceptions, threats and expectations about the treatment, knowledge, adjustment, or limitation for work, social support, or self-care.
Conclusions
There is a wide variety of instruments to assess the patients’ perspective in CHD, covering several constructs. This is the first systematic review of specific PROMs for CHD including all constructs. It has practical significance, as it summarizes relevant information that may help clinicians, researchers, and other healthcare stakeholders to choose the most adequate instrument for promoting shared decision making in a trend towards value-based healthcare.
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Affiliation(s)
- Yolanda Pardo
- CIBER Epidemiología y Salud Pública (CIBERESP), Dr. Aiguader 88, 08003, Barcelona, Spain
- Health Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Olatz Garin
- CIBER Epidemiología y Salud Pública (CIBERESP), Dr. Aiguader 88, 08003, Barcelona, Spain.
- Health Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
| | - Cristina Oriol
- Unitat de Suport a la Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Mataró, Spain
| | - Víctor Zamora
- CIBER Epidemiología y Salud Pública (CIBERESP), Dr. Aiguader 88, 08003, Barcelona, Spain
- Health Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Aida Ribera
- CIBER Epidemiología y Salud Pública (CIBERESP), Dr. Aiguader 88, 08003, Barcelona, Spain
- Cardiovascular Epidemiology and Research Unit, University Hospital and Research Institute Vall d'Hebron (VHIR), Barcelona, Spain
| | - Montserrat Ferrer
- CIBER Epidemiología y Salud Pública (CIBERESP), Dr. Aiguader 88, 08003, Barcelona, Spain
- Health Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
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Ayton D, Soh SE, Morello R, Ahern S, Earnest A, Brennan A, Lefkovits J, Evans S, Reid C, Ruseckaite R, McNeil J. Development of a percutaneous coronary intervention patient level composite measure for a clinical quality registry. BMC Health Serv Res 2020; 20:44. [PMID: 31952535 PMCID: PMC6969470 DOI: 10.1186/s12913-019-4814-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Accepted: 06/12/2019] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Composite measures combine data to provide a comprehensive view of patient outcomes. Despite composite measures being a valuable tool to assess post-intervention outcomes, the patient perspective is often missing. The purpose of this study was to develop a composite measure for an established cardiac outcome registry, by combining clinical outcomes following percutaneous coronary interventions (PCI) with a patient-reported outcome measure (PROM) developed specifically for this population (MC-PROM). METHODS Two studies were undertaken. Study 1: Patients who had undergone a PCI at one of the three participating registry hospital sites completed the 5-item MC-PROM. Clinical outcome data for the patients (e.g. death, myocardial infarction, repeat vascularisation, new bleeding event) were collected 30 days post-intervention as part of routine data collection for the cardiac registry. Exploratory factor analysis of clinical outcomes and MC-PROM data was conducted to determine the minimum number of constructs to be included in a composite measure. Study 2: Clinical experts participated in a Delphi technique, consisting of three rounds of online surveys, to determine the clinical outcomes to be included and the weighting of the clinical outcomes and MC-PROM score for the composite measure. RESULTS Study 1: Routine clinical outcomes and the MC-PROM data were collected from 266 patients 30 days post PCI. The MC-PROM score was not significantly correlated with any clinical outcomes. Study 2: There was a relatively consistent approach to the weighting of the clinical outcomes and MC-PROM items by the expert panel (n = 18) across the three surveys with the exception of the clinical outcome of 'deceased at 30 days'. The final composite measure included five clinical outcomes within 30 days weighted at 90% (new heart failure, new myocardial infarction, new stent thrombosis, major bleeding event, new stroke, unplanned cardiac rehospitalisation) and the MC-PROM score (comprising 10% of the total weighting). CONCLUSIONS A single patient level composite score, which incorporates weighted clinical outcomes and a PROM was developed. This composite score provides a more comprehensive reported measure of individual patient wellbeing at 30 days post their PCI-procedure, and may assist clinicians to further assess and address patient level factors that potentially impact on clinical recovery.
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Affiliation(s)
- Darshini Ayton
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Sze-Ee Soh
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
- Department of Physiotherapy, Monash University, Melbourne, Australia
| | - Renata Morello
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Susannah Ahern
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Arul Earnest
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Angela Brennan
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jeffrey Lefkovits
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Susan Evans
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Christopher Reid
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
- NHMRC Centre for Research Excellence in Cardiovascular Outcomes Improvement, Curtin University, Bentley, Western Australia Australia
| | - Rasa Ruseckaite
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - John McNeil
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
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