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Evaluating the Effects of Opioid Prescribing Policies on Patient Outcomes in a Safety-net Primary Care Clinic.
Rowe, Christopher L; Eagen, Kellene; Ahern, Jennifer; Faul, Mark; Hubbard, Alan; Coffin, Phillip.
Afiliación
  • Rowe CL; Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA. chrisrowe@berkeley.edu.
  • Eagen K; Center on Substance Use and Health, San Francisco Department of Public Health, San Francisco, USA. chrisrowe@berkeley.edu.
  • Ahern J; Department of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA.
  • Faul M; Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
  • Hubbard A; Health Systems and Trauma Systems Branch, Centers for Disease Control and Prevention, Atlanta, USA.
  • Coffin P; Division of Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, USA.
J Gen Intern Med ; 37(1): 117-124, 2022 01.
Article en En | MEDLINE | ID: mdl-34173204
ABSTRACT

BACKGROUND:

After decades of liberal opioid prescribing, multiple efforts have been made to reduce reliance upon opioids in clinical care. Little is known about the effects of opioid prescribing policies on outcomes beyond opioid prescribing.

OBJECTIVE:

To evaluate the combined effects of multiple opioid prescribing policies implemented in a safety-net primary care clinic in San Francisco, CA, in 2013-2014.

DESIGN:

Retrospective cohort study and conditional difference-in-differences analysis of nonrandomized clinic-level policies. PATIENTS 273 patients prescribed opioids for chronic non-cancer pain in 2013 at either the treated (n=151) or control clinic (n=122) recruited and interviewed in 2017-2018.

INTERVENTIONS:

Policies establishing standard protocols for dispensing opioid refills and conducting urine toxicology testing, and a new committee facilitating opioid treatment decisions for complex patient cases. MAIN

MEASURES:

Opioid prescription (active prescription, mean dose in morphine milligram equivalents [MME]) from electronic medical charts, and heroin and opioid analgesics not prescribed to the patient (any use, use frequency) from a retrospective interview. KEY

RESULTS:

The interventions were associated with a reduction in mean prescribed opioid dose in the first three post-policy years (year 1 conditional difference-in-differences estimate -52.0 MME [95% confidence interval -109.9, -10.6]; year 2 -106.2 MME [-195.0, -34.6]; year 3 -98.6 MME [-198.7, -23.9]; year 4 -72.6 MME [-160.4, 3.6]). Estimates suggest a possible positive association between the interventions and non-prescribed opioid analgesic use (year 3 5.2 absolute percentage points [-0.1, 11.2]) and use frequency (year 3 0.21 ordinal frequency scale points [0.00, 0.47]) in the third post-policy year.

CONCLUSIONS:

Clinic-level opioid prescribing policies were associated with reduced dose, although the control clinic achieved similar reductions by the fourth post-policy year, and the policies may have been associated with increased non-prescribed opioid analgesic use. Clinicians should balance the urgency to reduce opioid prescribing with potential harms from rapid change.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Dolor Crónico / Analgésicos Opioides Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Gen Intern Med Asunto de la revista: MEDICINA INTERNA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Dolor Crónico / Analgésicos Opioides Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Gen Intern Med Asunto de la revista: MEDICINA INTERNA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos