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Updated: Oct 27, 2025

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Oral Health Assessment by Lay Personnel for Older Adults
Published on: February 2, 2020
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Completing Self-Administered Questionnaires: Hmong Older Adults and Their Family Helpers
Maichou Lor1, Nora Cate Schaeffer2,3, Roger Brown2
1Columbia University, School of Nursing.
Summary
This study introduces an audio computer-assisted self-interview method for non-literate populations. Helpers assisted Hmong elders, with common strategies including paraphrasing and examples to overcome data collection challenges.
Area of Science:
- Health research methodology
- Cross-cultural data collection
- Gerontology
Background:
- Collecting health data from non-literate, non-English speaking populations presents unique challenges.
- Existing methods may not adequately capture the needs of diverse and vulnerable groups.
- The use of technology with human assistance requires careful design and evaluation.
Purpose of the Study:
- To describe a novel Audio Computer-Assisted Self-Interview (ACASI) instrument designed for non-literate populations.
- To evaluate the effectiveness of helper assistance in data collection with older Hmong adults.
- To identify common challenges and successful strategies in this specific data collection context.
Main Methods:
- Developed an ACASI instrument with color-labeled response categories, requiring helper assistance.
- Recruited 30 dyads of non-literate older Hmong respondents and family helpers.
- Analyzed video recordings of interviews to document respondent problems and helper strategies.
Main Results:
- Seven dyads (23%) consistently followed the question-answer sequence; 23 dyads (77%) deviated.
- Respondents' difficulties were indicated by reports and pauses.
- Helpers commonly employed paraphrasing and providing examples to facilitate responses.
Conclusions:
- The ACASI instrument with helper assistance shows potential for data collection in non-literate populations.
- Helper strategies like paraphrasing are crucial for overcoming communication barriers.
- Further research is needed to assess the impact of these strategies on data quality.
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