Factors Predicting the Care Readiness for Persons with Mental Disorders among Community Networks in Chonburi Province

Authors

  • Wannarat Lawang Faculty of Nursing, Burapha University, Chonburi, Thailand
  • Pichamon Poonnotok Faculty of Nursing, Burapha University, Chonburi, Thailand
  • Anocha Tassanatanachai Faculty of Nursing, Burapha University, Chonburi, Thailand
  • Surapa Suksawat Queen Savang Vadhana Memorial Hospital, Chonburi, Thailand
  • Rachanee Sunsern Faculty of Health Sciences, Mae Fah Luang University, Chiang Rai, Thailand

Keywords:

care readiness, persons with mental disorders, community networks, attitude, role acceptance, training

Abstract

Introduction: Community Network is an importance resource in the long-term care system. The care readiness for people with mental disorders is an essential. Research objectives: To determine factors predicting the care readiness for persons with mental disorders among community networks. Research methodology: This study is predictive correlational research. Multi-stage random sampling was used to recruit 197 members of community networks in Chonburi province (including 100 proactive health personnel and 97 community partners). Data collection was carried out from October 2018 to March 2019 using self-administered questionnaires consisted of personal data, care data, mental disorder and care attitude, and care readiness. Descriptive statistics, t-test, and stepwise multiple regression statistics were used to analyze the data. Results: The results revealed that the overall of the care readiness for persons with mental disorders among the members of community networks (inckudinng the proactive healthcare team and the community partner team) was at a moderate level (Madj=3.24, SD.adj=0.73). All aspects were at moderate levels, with the readiness to meet the needs of the persons with mental health disorders (Madj=3.30, SD.adj=0.76), followed by the readiness to meet the needs of the families (Madj=3.26, SD.adj=0.68), and the readiness to support care resources (Madj=3.15, SD.adj=0.78), respectively. The care attitude, caring role acceptance, and care training, could predict 33.6% of the variance accounted for the overall of the care readiness (R2=.336, R2adj=.326, F=46.549, p<.001). Z care readiness = .367(Zattitude) + .260(Zrole acceptance) + .127(Ztraining) Conclusions: Factors predicting the care readiness for persons with mental disorders among community networks are care attitude, caring role acceptance, and care training. Implications: Administrators, nurses, and other health personel who work in communities or the contracting unit for primary care should address for enhancing the care readiness among the community networks, both the proactive healthcare team and the community partner team through program/model/strategy developing by focusing on promoting care attitude, increasing caring role acceptance, and providing short course tranning about care for the persons with mental health disorders. Community Network’s care efficiency can be improved resulting to positive outcomes on the persons with mental disorders, their families, and long-term care system.

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Published

2021-04-09

How to Cite

1.
Lawang ว, Poonnotok พ, Tassanatanachai อ, Suksawat ส, Sunsern ร. Factors Predicting the Care Readiness for Persons with Mental Disorders among Community Networks in Chonburi Province. JHNR [Internet]. 2021 Apr. 9 [cited 2022 Jun. 26];37(1):311-25. Available from: https://he01.tci-thaijo.org/index.php/bcnbangkok/article/view/249304

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Section

Research articles