Admitting Deserving Medical Students from Rural and Disadvantaged: Patan Academy of Health Sciences’ Approach Article Swipe
Shambhu Kumar Upadhyay
,
Shital Bhandary
,
Dil Bahadur Bhandari
,
Ram Krishna Dulal
,
Kedar Prasad Baral
,
Rajesh Gongal
,
Paras Kumar Acharya
,
Shrijana Shrestha
,
Jay Shah
,
Arjun Karki
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.3126/jnhrc.v15i1.18025
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.3126/jnhrc.v15i1.18025
Background: Patan Academy of Health Sciences (PAHS) aims to produce physicians who would be able and willing to serve in the rural areas. Recognizing the critical importance of student selection strategy, among others, in achieving the program goals, it has adopted an innovative scheme for selecting medical students. This paper describes PAHS medical student selection scheme that favors enrollment of deserving applicants from rural and disadvantaged groups so as to help improve distribution of physicians in rural Nepal.Methods: A student admission committee comprising a group of medical educators finalized a three-step student selection scheme linked with scholarships after reviewing relevant literatures and consultative meetings with experts within and outside Nepal. The committee did local validation of Personal Quality Assessment (PQA) that tested cognitive ability and personality traits, Admission OSPE (Objective Structured Performance Examination) that assessed non-cognitive attributes of applicants. It also provided preferential credits to applicants’ socio-economic characteristics to favor the enrollment of deserving applicants from rural and disadvantaged groups through Social Inclusion Matrix (SIM). Three different categories of scholarship schemes namely Partial, Collaborative and Full were devised with Partial providing 50% and other two categories each providing 100% coverage of tuition fee.Results: PAHS student selection scheme succeeded in enrolling more than half of its students from rural areas of Nepal, including about 10% of the students from that of the most backward region of the country. About one third of students were female and about the same were from public and community school. Sixty percent of students receive different categories of scholarships.Conclusions: Limited findings indicate the success of the selection scheme in enrolling high proportion of applicants from rural and disadvantageous groups and enable them to pursue study by providing scholarships.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3126/jnhrc.v15i1.18025
- https://www.nepjol.info/index.php/JNHRC/article/download/18025/14631
- OA Status
- diamond
- Cited By
- 5
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2742899326
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2742899326Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3126/jnhrc.v15i1.18025Digital Object Identifier
- Title
-
Admitting Deserving Medical Students from Rural and Disadvantaged: Patan Academy of Health Sciences’ ApproachWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-08-13Full publication date if available
- Authors
-
Shambhu Kumar Upadhyay, Shital Bhandary, Dil Bahadur Bhandari, Ram Krishna Dulal, Kedar Prasad Baral, Rajesh Gongal, Paras Kumar Acharya, Shrijana Shrestha, Jay Shah, Arjun KarkiList of authors in order
- Landing page
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https://doi.org/10.3126/jnhrc.v15i1.18025Publisher landing page
- PDF URL
-
https://www.nepjol.info/index.php/JNHRC/article/download/18025/14631Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.nepjol.info/index.php/JNHRC/article/download/18025/14631Direct OA link when available
- Concepts
-
Disadvantaged, Medical education, Scholarship, Selection (genetic algorithm), Rural area, Medicine, Cognition, Psychology, Economic growth, Artificial intelligence, Computer science, Pathology, Economics, PsychiatryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2022: 1, 2021: 1, 2017: 1Per-year citation counts (last 5 years)
- References (count)
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29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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