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HIV Patients Drop Out in Indonesia: Associated Factors and Potential Productivity Loss

ACTA MEDICA INDONESIANA · Vol. 48 No. 3 (2017) · pp. 207–216

ISSN
2338-2732, 0125-9326
Published
2017-05-10
Publisher
The Indonesian Society of Internal Medicine
Language
eng

Abstract

Aim: this study reported various factors associated with a higher probability of HIV patients drop out, and potential productivity loss due to HIV patients drop out. Methods: we analyzed data of 658 HIV patients from a database in a main referral hospital in Bandung city, West Java, Indonesia from 2007 to 2013. First, we utilized probit regression analysis and included, among others, the following variables: patients’ status (active or drop out), CD4 cell count, TB and opportunistic infection (OI), work status, sex, history of injecting drugs, and support from family and peers. Second, we used the drop out data from our database and CD 4 cell count decline rate from another study to estimate the productivity loss due to HIV patients drop out. Results: lower CD4 cell count was associated with a higher probability of drop out. Support from family/peers, living with family, and diagnosed with TB were associated with lower probability of drop out. The productivity loss at national level due to treatment drop out (consequently, due to CD4 cell count decline) can reach US$365 million (using average wage). Conclusion: first, as lower CD 4 cell count was associated with higher probability of drop out, we recommend (to optimize) early ARV initiation at a higher CD 4 cell count, involving scaling up HIV service at the community level. Second, family/peer support should be further emphasized to further ensure treatment success. Third, dropping out from ART will result in a relatively large productivity loss.

Keywords

Collaboration network of the authors

23 authors · 80 co-authorship links

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  • Udayana University
  • Affiliation unknown
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Co-authorOrganisationJoint articles
Rianita JuniatiAffiliation unknown1
Ida ParwatiAffiliation unknown1
Prayudi SantosoAffiliation unknown1
Arto Y SoerotoAffiliation unknown1
Yovita HartantriAffiliation unknown1
Bachti AlisjabanaAffiliation unknown1
Heda M NataprawiraAffiliation unknown1
Irna SufiawatiAffiliation unknown1
Revi NelondaAffiliation unknown1
S. SunitiAffiliation unknown1
Agnes Rengga RendatiAffiliation unknown1
Riezki AmaliaAffiliation unknown1
Isabellina Dwades TampubolonAffiliation unknown1
Donny HardiawanAffiliation unknown1
Pande Putu JanuragaUdayana University1
Adiatma SiregarAffiliation unknown1
Mery Nurma JuwitaAffiliation unknown1
Rozar PrawinegaraAffiliation unknown1
Miasari HandayaniAffiliation unknown1
Nurjannah SulaimanAffiliation unknown1

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://www.actamedindones.org/index.php/ijim/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">HIV Patients Drop Out in Indonesia: Associated Factors and Potential Productivity Loss</dc:title>
	<dc:creator>Siregar, Adiatma YM.</dc:creator>
	<dc:creator>Pitriyan, Pipit</dc:creator>
	<dc:creator>Wisaksana, Rudi</dc:creator>
	<dc:subject xml:lang="en-US">HIV</dc:subject>
	<dc:subject xml:lang="en-US">socio-economic</dc:subject>
	<dc:subject xml:lang="en-US">antiretroviral therapy</dc:subject>
	<dc:subject xml:lang="en-US">Indonesia</dc:subject>
	<dc:subject xml:lang="en-US">drop out</dc:subject>
	<dc:description xml:lang="en-US">Aim: this study reported various factors associated with a higher probability of HIV patients drop out, and potential productivity loss due to HIV patients drop out. Methods: we analyzed data of 658 HIV patients from a database in a main referral hospital in Bandung city, West Java, Indonesia from 2007 to 2013. First, we utilized probit regression analysis and included, among others, the following variables: patients’ status (active or drop out), CD4 cell count, TB and opportunistic infection (OI), work status, sex, history of injecting drugs, and support from family and peers. Second, we used the drop out data from our database and CD 4 cell count decline rate from another study to estimate the productivity loss due to HIV patients drop out. Results: lower CD4 cell count was associated with a higher probability of drop out. Support from family/peers, living with family, and diagnosed with TB were associated with lower probability of drop out. The productivity loss at national level due to treatment drop out (consequently, due to CD4 cell count decline) can reach US$365 million (using average wage). Conclusion: first, as lower CD 4 cell count was associated with higher probability of drop out, we recommend (to optimize) early ARV initiation at a higher CD 4 cell count, involving scaling up HIV service at the community level. Second, family/peer support should be further emphasized to further ensure treatment success. Third, dropping out from ART will result in a relatively large productivity loss.</dc:description>
	<dc:publisher xml:lang="en-US">The Indonesian Society of Internal Medicine</dc:publisher>
	<dc:date>2017-05-10</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:identifier>http://www.actamedindones.org/index.php/ijim/article/view/199</dc:identifier>
	<dc:source xml:lang="en-US">Acta Medica Indonesiana; Vol. 48 No. 3 (2016): Acta Medica Indonesiana; 207-216</dc:source>
	<dc:source>2338-2732</dc:source>
	<dc:source>0125-9326</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>http://www.actamedindones.org/index.php/ijim/article/view/199/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2016 Acta Medica Indonesiana</dc:rights>
</oai_dc:dc>