Development of short form questionnaires for the assessment of work capacity in cardiovascular rehabilitation patients

Haschke, Anne; Abberger, Birgit; Wirtz, Markus; Bengel, Jürgen; Baumeister, Harald

doi:10.2478/s13382-013-0158-3

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…As a result, oxygen delivery to tissues increases by 18 times, which provides the potential to elevate the metabolism 15-20 times compared with the main metabolism level in well-trained persons. Of course, in people with cardiovascular diseases, physical activity should be clearly corrected according to the physiological capabilities of the body (Haschke 2013).…”

Section: Introductionmentioning

confidence: 99%

Rehabilitation of athletes following cardiovascular events

Паначев

Ponomarev

Ковальчук

et al. 2020

J Public Health (Berl.)

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Aim The relevance of this study lies in the fact that cardiovascular mortality decreases in countries promoting active healthy lifestyles. The authors conducted experimental studies of the cardiovascular parameter prediction accuracy at the initial and final stages of the rehabilitation process. Subjects and methods The experiments showed sufficient accuracy of the constructed models. In particular, the maximum relative error was 11% for the simulation of the tolerable physical activity duration and 5.5% for the simulation of the exercise tolerance. The novelty of the study is that experimental studies were performed to predict the accuracy of the patient's condition at the final stage of the rehabilitation process by the assessment of exercise tolerance using bicycle ergometry test data only at the initial stage.Results The experiments showed sufficient accuracy of the constructed method. In particular, the maximum relative error of blood pressure simulation at the final stage of the rehabilitation period was 5%. The authors propose an approach to the implementation of exercise monitoring, according to which the observed pulse values are supplemented by simulated pressure values. Conclusions Experimental studies of the accuracy of the proposed approach have shown its sufficient accuracy. In particular, the maximum relative error in blood pressure simulation was 8.6%.

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Section: Introductionmentioning

confidence: 99%

Rehabilitation of athletes following cardiovascular events

Паначев

Ponomarev

Ковальчук

et al. 2020

J Public Health (Berl.)

View full text Add to dashboard Cite

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Patient-centered care in Coronary Heart Disease: what do you want to measure? A systematic review of reviews on patient-reported outcome measures

et al. 2022

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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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