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

Jurnal Ners · Vol. 11 No. 1 (2016) · hlm. 99–105

DOI
10.20473/jn.v11i1.1350
ISSN
2502-5791, 1858-3598
Terbit
2016-04-01
Penerbit
Universitas Airlangga
Bahasa
eng

Abstrak

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.Methods: 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.

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  • Universitas Airlangga
  • Universitas Jambi
  • Universitas Syiah Kuala
  • Universitas Gresik
  • University of Indonesia
  • Yogyakarta State University
  • Universitas Islam Negeri Jurai Siwo Lampung
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Rekan penulisOrganisasiArtikel bersama
Nursalam NursalamUniversitas Airlangga15
Kusnanto KusnantoUniversitas Airlangga7
Ni Ketut Alit ArminiUniversitas Airlangga5
Siti Nur QomariahUniversitas Gresik4
Esti YunitasariUniversitas Airlangga4
Mira TrihariniUniversitas Airlangga4
Tintin SukartiniUniversitas Airlangga4
Yuni Sufyanti AriefUniversitas Airlangga4
Aulia SanovaUniversitas Jambi3
Ah YusufUniversitas Airlangga3
Praba Diyan RachmawatiUniversitas Airlangga3
Afrida AfridaUniversitas Jambi2
Muhaimin MuhaiminUniversitas Jambi2
Bhakti PermanaUniversitas Airlangga2
Joni HaryantoUniversitas Airlangga2
Kartika Indaswari DewiUniversitas Airlangga2
Krisna YettiUniversity of Indonesia2
Nuzul Qur’aniatiUniversitas Airlangga2
Iqlima Dwi KurniaUniversitas Airlangga2
Harizon HarizonUniversitas Jambi1
Nova SusantiUniversitas Jambi1
Haryanto HaryantoYogyakarta State University1
Indryani IndryaniUniversitas Jambi1
Haryanto HaryantoUniversitas Jambi1
Muhammad Alfi Nur IlahiUniversitas Jambi1
Efry MindayulaUniversitas Jambi1
Ardian Anugrah RamadhanUniversitas Jambi1
Fuldiaratman FuldiaratmanUniversitas Jambi1
Siti NurjanahUniversitas Islam Negeri Jurai Siwo Lampung1
Nurbaity BustamamUniversitas Syiah Kuala1
Riska Dwi AmeliaUniversitas Syiah Kuala1

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Sumber metadata: OAI-PMH (metadata jurnal) http://e-journal.unair.ac.id/index.php/JNERS/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Knowledge-Management-Based-Nursing Care Model Improves Patient Adherence to Tuberculosis Treatment</dc:title>
	<dc:creator>Kurniawati, Ninuk Dian</dc:creator>
	<dc:creator>Bakar, Abu</dc:creator>
	<dc:creator>MHas, Eka</dc:creator>
	<dc:creator>Ulfiana, Elida</dc:creator>
	<dc:creator>Hidayati, Laily</dc:creator>
	<dc:creator>Endang, Hanik</dc:creator>
	<dc:creator>Pradanie, Retnayu</dc:creator>
	<dc:creator>Kristiawati, Kristiawati</dc:creator>
	<dc:creator>W, Erna Dwi</dc:creator>
	<dc:subject xml:lang="en-US">pulmonary tuberculosis</dc:subject>
	<dc:subject xml:lang="en-US">patient compliance</dc:subject>
	<dc:subject xml:lang="en-US">nursing care model</dc:subject>
	<dc:subject xml:lang="en-US">knowledge management</dc:subject>
	<dc:description xml:lang="en-US">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.Methods:  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 &amp;lt; 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. </dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2016-04-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JNERS/article/view/1350</dc:identifier>
	<dc:identifier>10.20473/jn.v11i1.1350</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ners; Vol. 11 No. 1 (2016): April 2016; 99-105</dc:source>
	<dc:source>2502-5791</dc:source>
	<dc:source>1858-3598</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JNERS/article/view/1350/pdf_14</dc:relation>
	<dc:relation>https://e-journal.unair.ac.id/JNERS/article/view/1350/pdf_1</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2016 Jurnal NERS</dc:rights>
</oai_dc:dc>