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

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

DOI
10.20473/jn.v11i1.1350
ISSN
2502-5791, 1858-3598
Published
2016-04-01
Publisher
Universitas Airlangga
Language
eng

Abstract

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.

Keywords

Collaboration network of the authors

40 authors · 156 co-authorship links · 1 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Universitas Airlangga
  • University of Singaperbangsa Karawang
  • Universitas Islam Negeri Antasari Banjarmasin
  • Universitas Pendidikan Ganesha
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nursalam NursalamAffiliation unknown19
Kusnanto KusnantoAffiliation unknown7
Esti YunitasariAffiliation unknown5
Ni Ketut Alit ArminiAffiliation unknown5
Afrida AfridaAffiliation unknown4
Aulia SanovaAffiliation unknown4
Siti Nur QomariahAffiliation unknown4
Mira TrihariniUniversitas Airlangga4
Tintin SukartiniAffiliation unknown4
Yuni Sufyanti AriefAffiliation unknown4
Haryanto HaryantoAffiliation unknown3
Praba Diyan RachmawatiAffiliation unknown3
Muhaimin MuhaiminUniversitas Islam Negeri Antasari Banjarmasin2
Ah YusufUniversitas Airlangga2
Bhakti PermanaAffiliation unknown2
Joni HaryantoUniversitas Airlangga2
Kartika Indaswari DewiAffiliation unknown2
Krisna YettiAffiliation unknown2
Nuzul Qur'aniatiAffiliation unknown2
I Ketut SudianaUniversitas Pendidikan Ganesha2
Iqlima Dwi KurniaAffiliation unknown2
Putri NabilaAffiliation unknown1
I Putu Eka WijayaAffiliation unknown1
Putri NabilaUniversity of Singaperbangsa Karawang1
Abu BakarUniversity of Singaperbangsa Karawang1
I Putu Eka WijayaUniversity of Singaperbangsa Karawang1
Tri Joko RaharjoState University of Semarang1
Harianingsih HarianingsihState University of Semarang1
Mu'arifuddin Mu'arifuddinState University of Semarang1
Endah WulansariState University of Semarang1
Yuli SudarginiState University of Semarang1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://e-journal.unair.ac.id/index.php/JNERS/oai, first harvested 9 Nov 2026, last seen 9 Nov 2026.
Original metadata (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>