Evidence map›Paper›PMID 40739562›Full record

ArticleBMC health services research2025

Adolescent-friendly health services in Nepal: usage and key determinants.

Sandip Pahari, Shiva Raj Acharya, Amritraj Pokhrel, Jagat Prasad Upadhyay, Sagar Parajuli, Muskan Pudasainee, Monika Koirala

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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sandip PahariSchool of Health and Allied Sciences, Pokhara University, Kaski, Nepal.
Shiva Raj AcharyaKorea University College of Medicine, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea. sameeracharya39@gmail.com.
Amritraj PokhrelOxford University Clinical Research Unit Nepal, Lalitpur, Nepal.
Jagat Prasad UpadhyaySchool of Health and Allied Sciences, Pokhara University, Kaski, Nepal.
Sagar ParajuliSchool of Health and Allied Sciences, Pokhara University, Kaski, Nepal.
Muskan PudasaineeSchool of Health and Allied Sciences, Pokhara University, Kaski, Nepal.
Monika KoiralaKapilvastu Integrated Development Services, Surkhet, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdolescent-Friendly Health Services (AFHS) are crucial for addressing the sexual and reproductive health needs of adolescents. Despite AFHS integration into public health facilities in Nepal since 2009, the utilization of these services remains suboptimal and concerning. The purpose of this study was to investigate the utilization and key determinants of AFHS in Pokhara, Nepal.

methodsAn analytical quantitative study involving 569 adolescents aged 12–19 years was conducted from July 12 to October 25, 2023. Study participants were selected using simple random sampling and proportionate stratified sampling methods. The study utilized a self-administered questionnaire, and key determinants of AFHS usage were identified using logistic regression analyses.

resultsThe mean age of the participants was 14.66 ± 1.09 years. Only 37.1% of the adolescents had utilized AFHS at the time of the study. More than half of the participants (51.7%) mentioned the need for AFHS. The key determinants of AFHS utilization were: perceived healthcare need as seeking health facilities directly (AOR: 1.62, 95% CI: 1.07–2.46, vs. seeking care after home remedies); hospital as the first treatment point (AOR: 2.50, 95% CI: 1.68–3.72, vs. grassroots health facilities); perceived need for AFHS (AOR: 1.57, 95% CI: 1.06–2.33); not paying for AFHS (AOR: 2.06, 95% CI: 1.39–3.04), feasible service time (AOR: 1.51, 95% CI: 1.02–2.46); proper counselling services (AOR: 1.97, 95% CI: 1.19–3.26); and adequacy of AFHS facilities (adequate water supply and sanitation facilities, AOR: 1.70, 95% CI: 1.12–2.58).

conclusionsThe utilization of AFHS remains low within the study population. Key factors influencing AFHS utilization include perceived healthcare need, the first point of treatment, payment for services, perceived necessity of AFHS, service time feasibility, availability of counselling services, and access to reliable water supply and sanitation facilities. Therefore, it is crucial to establish proper infrastructure, implement effective planning, allocate adequate budgets, train personnel, and provide comprehensive counselling services tailored to adolescents’ needs to ultimately enhance AFHS utilization. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Adolescent Health ServicesPatient Acceptance of Health CareAdolescentChildFemaleHealth Services AccessibilityHumansMaleNepalSurveys and QuestionnairesYoung AdultAdolescent health servicesDeterminantsHealthcare needsUtilization

Identifiers

PMID40739562
PMCPMC12308996

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.