TY - JOUR
T1 - Analysis of a national response to a White House directive for ending veteran suicide
AU - Kalvesmaki, Andrea F.
AU - Chapman, Alec B.
AU - Peterson, Kelly S.
AU - Pugh, Mary Jo
AU - Jones, Makoto
AU - Gleason, Theresa C.
N1 - Funding Information:
This material is based upon work supported by an award, 829‐AA‐38970, from the Department of Veteran Affairs, Veteran Health Administration, Clinical Science Research and Development Service, and is the result of work supported with resources and the use of facilities at the Veteran Affairs Informatics, Decision‐Enhancement and Analytic Sciences (IDEAS) Center of Innovation, Salt Lake City, Utah. The contents do not represent the views of the U.S. Department of Veteran Affairs or the United States Government.
Publisher Copyright:
© 2022 Health Research and Educational Trust.
PY - 2022/6
Y1 - 2022/6
N2 - Objective: Analyze responses to a national request for information (RFI) to uncover gaps in policy, practice, and understanding of veteran suicide to inform federal research strategy. Data source: An RFI with 21 open-ended questions generated from Presidential Executive Order #1386, administered nationally from July 3 to August 5, 2019. Study design: Semi-structured, open-ended responses analyzed using a collaborative qualitative and text-mining data process. Data extraction methods: We aligned traditional qualitative methods with natural language processing (NLP) text-mining techniques to analyze 9040 open-ended question responses from 722 respondents to provide results within 3 months. Narrative inquiry and the medical explanatory model guided the data extraction and analytic process. Results: Five major themes were identified: risk factors, risk assessment, prevention and intervention, barriers to care, and data/research. Individuals and organizations mentioned different concepts within the same themes. In responses about risk factors, individuals frequently mentioned generic terms like “illness” while organizations mentioned specific terms like “traumatic brain injury.” Organizations and individuals described unique barriers to care and emphasized ways to integrate data and research to improve points of care. Organizations often identified lack of funding as barriers while individuals often identified key moments for prevention such as military transitions and ensuring care providers have military cultural understanding. Conclusions: This study provides an example of a rapid, adaptive analysis of a large body of qualitative, public response data about veteran suicide to support a federal strategy for an important public health topic. Combining qualitative and text-mining methods allowed a representation of voices and perspectives including the lived experiences of individuals who described stories of military transition, treatments that worked or did not, and the perspective of organizations treating veterans for suicide. The results supported the development of a national strategy to reduce suicide risks for veterans as well as civilians.
AB - Objective: Analyze responses to a national request for information (RFI) to uncover gaps in policy, practice, and understanding of veteran suicide to inform federal research strategy. Data source: An RFI with 21 open-ended questions generated from Presidential Executive Order #1386, administered nationally from July 3 to August 5, 2019. Study design: Semi-structured, open-ended responses analyzed using a collaborative qualitative and text-mining data process. Data extraction methods: We aligned traditional qualitative methods with natural language processing (NLP) text-mining techniques to analyze 9040 open-ended question responses from 722 respondents to provide results within 3 months. Narrative inquiry and the medical explanatory model guided the data extraction and analytic process. Results: Five major themes were identified: risk factors, risk assessment, prevention and intervention, barriers to care, and data/research. Individuals and organizations mentioned different concepts within the same themes. In responses about risk factors, individuals frequently mentioned generic terms like “illness” while organizations mentioned specific terms like “traumatic brain injury.” Organizations and individuals described unique barriers to care and emphasized ways to integrate data and research to improve points of care. Organizations often identified lack of funding as barriers while individuals often identified key moments for prevention such as military transitions and ensuring care providers have military cultural understanding. Conclusions: This study provides an example of a rapid, adaptive analysis of a large body of qualitative, public response data about veteran suicide to support a federal strategy for an important public health topic. Combining qualitative and text-mining methods allowed a representation of voices and perspectives including the lived experiences of individuals who described stories of military transition, treatments that worked or did not, and the perspective of organizations treating veterans for suicide. The results supported the development of a national strategy to reduce suicide risks for veterans as well as civilians.
KW - health policy/politics/law/regulation
KW - mental health
KW - natural language processing
KW - qualitative research
KW - veterans
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U2 - 10.1111/1475-6773.13931
DO - 10.1111/1475-6773.13931
M3 - Article
C2 - 35238027
AN - SCOPUS:85125543676
SN - 0017-9124
VL - 57
SP - 32
EP - 41
JO - Health Services Research
JF - Health Services Research
IS - S1
ER -