{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:08:17Z","timestamp":1787015297609,"version":"build-2736575974"},"reference-count":35,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T00:00:00Z","timestamp":1702425600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Advanced Nursing"],"published-print":{"date-parts":[[2024,6]]},"abstract":"Abstract<\/jats:title>\n \n Aim<\/jats:title>\n To determine the effects of collaborative health management of congestive heart failure through the rigorous evaluation and extraction of evidence.<\/jats:p>\n <\/jats:sec>\n \n Background<\/jats:title>\n Over the past two decades, cardiovascular disease has been the leading cause of death worldwide. Multidisciplinary team intervention for congestive heart failure has increased with population ageing and congestive heart failure incidence rate as well as cost of care. However, the effectiveness and feasibility of collaborative health management need to be explored.<\/jats:p>\n <\/jats:sec>\n \n Design<\/jats:title>\n Systematic review and meta\u2010analysis.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n We conducted systematic literature searches in the Cochrane Library, PubMed, CINAHL and Medline for articles published between 2002 and 2022. After screening based on the inclusion and exclusion criteria, 13 articles were included in a rigorous review and evidence extraction process, evaluated methodological quality using the Jadad Quality Scale. Statistical heterogeneity was evaluated using Review Manager (RevMan Version 5.4) for the meta\u2010analysis.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n In this study, a systematic review and meta\u2010analysis were performed on 13 studies regarding the collaborative health management of people with congestive heart failure. The common result is that the collaborative health management model enables the enhancement of self\u2010care and monitoring abilities, the strengthening of cardiac function, the alleviation of physiological and psychological symptoms and the improvement of readmission rates, mortality rate and quality of life.<\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n The congestive heart failure collaborative health management model could decrease the hospitalization rate related to congestive heart failure, all\u2010cause mortality rate, and all\u2010cause hospitalization rate, and improve the quality of life.<\/jats:p>\n <\/jats:sec>\n \n Implications for Practice<\/jats:title>\n The collaborative health management model could effectively coordinate interdisciplinary team cooperation and provide information, which decreases hospitalization and mortality risks and improves their quality of life.<\/jats:p>\n <\/jats:sec>\n \n No patient or Public Contribution<\/jats:title>\n Our paper is a systematic review and meta\u2010analysis, and such details do not apply to our work.<\/jats:p>\n <\/jats:sec>\n \n What does this paper contribute to the wider global clinical community?<\/jats:title>\n \n \n \n The Collaborative Health Management Model provides in\u2010depth insights, aiding in the design tailored to the specific circumstances of each country. Highlighting its critical role in the context of a global shortage of nursing staff, the model emphasizes the integration of multidisciplinary professional roles and the strengthening of collaboration as essential elements in addressing challenges posed by workforce shortages.<\/jats:p>\n <\/jats:list-item>\n \n Implementation of the Collaborative Health Management Model not only enhances patient care outcomes but also relieves pressure on healthcare systems, lowers medical costs, and addresses challenges arising from the shortage of nursing staff. Consequently, this model not only contributes to individual patient care improvement but also holds broader implications for enhancing the efficiency and sustainability of global healthcare systems.<\/jats:p>\n <\/jats:list-item>\n <\/jats:list>\n <\/jats:p>\n <\/jats:sec>\n \n Trial and Protocol Registration<\/jats:title>\n The detailed study protocol can be found on the PROSPERO website.<\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/jan.16011","type":"journal-article","created":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T04:23:17Z","timestamp":1702527797000},"page":"2290-2307","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Effects of a collaborative health management model on people\u00a0with congestive heart failure: A systematic review and\n meta\u2010analysis<\/scp>"],"prefix":"10.1111","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-8277-3829","authenticated-orcid":false,"given":"Chih Wen","family":"Chen","sequence":"first","affiliation":[{"name":"School of Nursing National Taipei University of Nursing and Health Sciences Taipei Taiwan"},{"name":"Antai Medical Care Cooperation Antai Tian\u2010Sheng Memorial Hospital\/Department of Nursing\/Nurse Practitioner Leader Tungkang Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8710-8676","authenticated-orcid":false,"given":"Mei\u2010Chen","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Nursing National Taipei University of Nursing and Health Sciences Taipei Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1563-5618","authenticated-orcid":false,"given":"Shu\u2010Fang Vivienne","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Nursing National Taipei University of Nursing and Health Sciences Taipei Taiwan"},{"name":"Queensland University of Technology Brisbane City Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,12,13]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/jocn.14605"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2017.8667"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2015.0315"},{"key":"e_1_2_13_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcard.2012.01.099"},{"key":"e_1_2_13_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11897\u2010018\u20100412\u2010x"},{"key":"e_1_2_13_7_1","doi-asserted-by":"publisher","DOI":"10.12968\/bjon.2018.27.12.681"},{"key":"e_1_2_13_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/NCM.0000000000000413"},{"key":"e_1_2_13_9_1","unstructured":"Cochrane Training(2022).Chapter\u00a010: Analysing data and undertaking meta\u2010analyses.https:\/\/training.cochrane.org\/handbook\/current\/chapter\u201010#section\u201010\u201011"},{"key":"e_1_2_13_10_1","volume-title":"Statistical power analysis for the behavioral sciences","author":"Cohen J.","year":"1988"},{"key":"e_1_2_13_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinthera.2015.08.021"},{"key":"e_1_2_13_12_1","doi-asserted-by":"publisher","DOI":"10.1053\/euhj.2001.2712"},{"key":"e_1_2_13_13_1","doi-asserted-by":"publisher","DOI":"10.1503\/cmaj.1041137"},{"key":"e_1_2_13_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/sim.1186"},{"key":"e_1_2_13_15_1","doi-asserted-by":"publisher","DOI":"10.1136\/hrt.2004.048389"},{"key":"e_1_2_13_16_1","doi-asserted-by":"publisher","DOI":"10.1590\/1414\u2010431X20176355"},{"key":"e_1_2_13_17_1","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/4051955"},{"key":"e_1_2_13_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/0197\u20102456(95)00134\u20104"},{"key":"e_1_2_13_19_1","unstructured":"Joanna Briggs Institute. 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