Prescription opioid use duration and beliefs about pain and pain medication in primary care patients.


Journal

Journal of opioid management
ISSN: 1551-7489
Titre abrégé: J Opioid Manag
Pays: United States
ID NLM: 101234523

Informations de publication

Date de publication:
Historique:
entrez: 11 1 2021
pubmed: 12 1 2021
medline: 14 1 2021
Statut: ppublish

Résumé

Patient beliefs about pain and opioids have been reported from qualitative data. To overcome limitations of unstructured assessments and small sample sizes, we determined if pain and pain medication beliefs varied by chronic pain status and opioid analgesic use (OAU) duration in primary care patients. Cross-sectional survey data obtained in 2017 and 2018 from 735 patients ≥ 18 years of age. The eight-item Barriers Questionnaire (BQ) measured beliefs about pain and pain medication. Patients reported OAU and use of other pain treatments. Multiple linear regression models estimated the association between never OAU, 1-90 day OAU and >90 day OAU and each BQ item. Overall, respondents were 49.1 (±15.4) years old, 38.7 percent white, 28.4 percent African-American, 23.5 percent Hispanic, and 68.6 percent female. About one-third never used opioids, 41.8 percent had 1-90 day OAU, and 21.6 percent had > 90 day OAU. Multiple linear regression analyses showed that compared to never OAU, > 90 day OAU had lower average agreement that analgesics are addictive (β = -0.50; 95 percent CI: -0.96, -0.03), and 1-90 day OAU (β = -0.53; 95 percent CI: -0.96, -0.10) and > 90 OAU (β = -0.55; 95 percent CI: -1.04, -0.06) had lower average agreement that analgesics make people do or say embarrassing things. Patients with chronic OAU reported less concern about addiction and opioid-related behavior change. Never users were most likely to agree that opioids are addictive. There continues to be a need to educate patients about opioid risks. Assessing patients' beliefs may identify patients at risk for chronic OAU.

Sections du résumé

BACKGROUND BACKGROUND
Patient beliefs about pain and opioids have been reported from qualitative data. To overcome limitations of unstructured assessments and small sample sizes, we determined if pain and pain medication beliefs varied by chronic pain status and opioid analgesic use (OAU) duration in primary care patients.
METHODS METHODS
Cross-sectional survey data obtained in 2017 and 2018 from 735 patients ≥ 18 years of age. The eight-item Barriers Questionnaire (BQ) measured beliefs about pain and pain medication. Patients reported OAU and use of other pain treatments. Multiple linear regression models estimated the association between never OAU, 1-90 day OAU and >90 day OAU and each BQ item.
RESULTS RESULTS
Overall, respondents were 49.1 (±15.4) years old, 38.7 percent white, 28.4 percent African-American, 23.5 percent Hispanic, and 68.6 percent female. About one-third never used opioids, 41.8 percent had 1-90 day OAU, and 21.6 percent had > 90 day OAU. Multiple linear regression analyses showed that compared to never OAU, > 90 day OAU had lower average agreement that analgesics are addictive (β = -0.50; 95 percent CI: -0.96, -0.03), and 1-90 day OAU (β = -0.53; 95 percent CI: -0.96, -0.10) and > 90 OAU (β = -0.55; 95 percent CI: -1.04, -0.06) had lower average agreement that analgesics make people do or say embarrassing things.
CONCLUSIONS CONCLUSIONS
Patients with chronic OAU reported less concern about addiction and opioid-related behavior change. Never users were most likely to agree that opioids are addictive. There continues to be a need to educate patients about opioid risks. Assessing patients' beliefs may identify patients at risk for chronic OAU.

Identifiants

pubmed: 33428189
pii: jom.2020.0600
doi: 10.5055/jom.2020.0600
pii:
doi:

Substances chimiques

Analgesics, Opioid 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

425-434

Auteurs

Philip Day (P)

Assistant Professor, Department of Family and Community Medicine, University of Texas Southwestern, Dallas, Texas.

Scott Secrest (S)

Research Coordinator, Department of Family and Community Medicine, Saint Louis University School of Medi-cine, St. Louis, Missouri.

Dawn Davis (D)

Assistant Professor, Department of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, Missouri.

Joanne Salas (J)

Senior Biostatistician, Department of Family and Community Medicine, Saint Louis University School of Medi-cine, St. Louis, Missouri.

Carissa van den Berk-Clark (C)

Assistant Professor, Department of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, Missouri.

Neelima Kale (N)

Associate Professor, Department of Family and Community Medicine, University of Texas Southwest-ern, Dallas, Texas.

Catherine Hearing (C)

Research Assistant, Department of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, Missouri.

F David Schneider (FD)

Chair and Professor, Department of Family and Community Medicine, University of Texas South-western, Dallas, Texas.

Jeffrey F Scherrer (JF)

Research Director and Professor, Department of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, Missouri.

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