Knowledge-Management-Based-Nursing Care Model Improves Patient Adherence to Tuberculosis Treatment

Ninuk Dian, K and Abu, Bakar and Eka Mishbahatul Mar’ah, Has and Elida, Ulfiana and Laily, Hidayati and Hanik Endang, N and Kristiawati, Kristiawati and Erna Dwi, Wahyuni (2016) Knowledge-Management-Based-Nursing Care Model Improves Patient Adherence to Tuberculosis Treatment. Jurnal Ners, 11 (1). pp. 99-105. ISSN 2502-5791

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Introduction. Pulmonary tuberculosis remains prominent as one of public health problems in the world. Patients’ non-compliance to treatment is a significant contributor to drug resistance. This study aimed to develop and to test the efficacy of a nursing care model to prevent non-compliance. Method This study consisted of two phases: phase one, model development, used a descriptive analytic, and phase two, model testing, employed a quasi-experimental design. Participants, comprised both patients and nurses at two health care centres in Surabaya, were recruited by consecutive sampling. Data were collected by interview, self-administered-questionnaires, check-list and focused group discussion. Data analyses were performed using both partial least squares and Wilcoxon signed rank test. Results. The model was statistically effective to improve nearly all aspects of patients’ compliance to TB treatment (knowledge, discipline in taking medications regularity of controls, and abilities to monitor the results of treatment with p < 0.05), except for abilities to cope with drug adverse effects (p = 1.000). This is possible because seldom do patients aware of the medication side effects, so their experiences were probably limited. Conclusion. This study concludes that the KM nursing care model was proven effective to improve patients’ adherence to treatment. Future study is suggested to evaluate the impact of the KM nursing care model in bigger population. Keywords: Pulmonary Tuberculosis, patient compliance, nursing care model, knowledge management.

Item Type: Article
Subjects: R Medicine > RT Nursing
Divisions: Faculty of Medicine, Health and Life Sciences > School of Medicine
Depositing User: Della Febiyen Prahasiwi
Date Deposited: 20 Dec 2018 07:34
Last Modified: 20 Dec 2018 07:34

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