Advances in Clinical and Experimental Medicine

Title abbreviation: Adv Clin Exp Med
JCR Impact Factor (IF) – 1.736
5-Year Impact Factor – 2.135
Index Copernicus  – 168.52
MEiN – 70 pts

ISSN 1899–5276 (print)
ISSN 2451-2680 (online)
Periodicity – monthly

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Advances in Clinical and Experimental Medicine

Ahead of print

doi: 10.17219/acem/161462

Publication type: research-in-progress

Language: English

License: Creative Commons Attribution 3.0 Unported (CC BY 3.0)

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Szlenk-Czyczerska E, Kurpas D. Indicators of integrated care for patients with chronic cardiovascular disease in ambulatory care [published online as ahead of print on March 15, 2023]. Adv Clin Exp Med. 2023. doi:10.17219/acem/161462

Indicators of integrated care for patients with chronic cardiovascular disease in ambulatory care

Elżbieta Szlenk-Czyczerska1,A,B,C,D,E,F, Donata Kurpas2,A,B,C,D,E,F

1 Institute of Health Sciences, University of Opole, Poland

2 Department of Family Medicine, Wroclaw Medical University, Poland

Abstract

Background. Patients with cardiovascular disease (CVD) have an increased need for medical care and a high risk of hospitalization. It is necessary to improve the integration between healthcare, long-term care and social care for these individuals, as poor integration limits the full potential of care.
Objectives. This study aims to identify effective indicators of CVD management, including variables that promote the horizontal and vertical integration of planned interventions.
Material and Methods. Patients with chronic CVD managed by a general practitioner (GP) or a primary care cardiologist will be enrolled in the study. The study will use the World Health Organization Quality of Life Questionnaire (WHOQOL)-BREF, the Health Behavior Inventory (HBI) questionnaire, the Camberwell Assessment of Need (CAN) Short Appraisal Schedule, the Hospital Anxiety and Depression Scale-Modified Version (HADS-M), a Self-Description Questionnaire, and the authors’ self-prepared questionnaire to collect data.
Results. The main results will allow for the identification of the variables that influence the effectiveness of healthcare (understood as the synergy of high quality of life, intensification of health behaviors and high satisfaction of needs) for patients with CVD. In addition, an examination of the relationships between quality of life and health behaviors, assessment of needs (health and social), level of religiosity and spirituality, expectations, and variables affecting anxiety and depressive symptoms will allow for the identification of indicators that favor the integration of care both horizontally and vertically.
Conclusion. The results of this study will support the development of systems aimed at identifying CVD patients at risk for lower effectiveness of care in integrated care. In addition, the results may help to develop clinical information and decision support systems aimed at designing personalized care models for patients with CVD. They may also help to develop coordinated care plans and patient education programs, and obtain data useful for implementing system changes.

Key words

patients, cardiovascular disease, primary healthcare, integrated care

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Graphical abstracts

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