Identifying heavy health care users among primary care patients with chronic non-cancer pain. Issue 1 (1st January 2017)
- Record Type:
- Journal Article
- Title:
- Identifying heavy health care users among primary care patients with chronic non-cancer pain. Issue 1 (1st January 2017)
- Main Title:
- Identifying heavy health care users among primary care patients with chronic non-cancer pain
- Authors:
- Antaky, Elie
Lalonde, Lyne
Schnitzer, Mireille E.
Martin, Élisabeth
Berbiche, Djamal
Perreault, Sylvie
Lussier, David
Choinière, Manon - Abstract:
- ABSTRACT: Objective : The objective of this study was to identify biopsychosocial factors predicting primary care chronic non-cancer pain (CNCP) patients' risk of being heavy health care users. Methods : Patients reporting moderate to severe CNCP for at least 6 months with an active analgesic prescription from a primary care physician were recruited in community pharmacies. Recruited patients completed questionnaires documenting biopsychosocial characteristics. Using administrative databases, direct costs were estimated for health care services used by each patient in the year preceding and following the recruitment. Heavy health care users were defined as patients in the highest annual direct health care costs quartile. Logistic multivariate regression models using the Akaike information criterion were developed to identify predictors of heavy health care use. Results : The median annual direct health care cost incurred by heavy health care users ( n = 63) was CAD (Canadian dollars) 7627, versus CAD 1554 for standard health care users ( n = 188). The final predictive model of the risks of being a heavy health care user included pain located in the lower body (odds ratio [OR] = 3.03; 95% confidence interval [CI], 1.20–7.65), pain-related disability (OR = 1.24; 95% CI, 1.03–1.48), and health care costs incurred in the year prior to recruitment (OR = 17.67; 95% CI, 7.90–39.48). Variables in the model also included sex, comorbidity, patients' depression level, and attitudesABSTRACT: Objective : The objective of this study was to identify biopsychosocial factors predicting primary care chronic non-cancer pain (CNCP) patients' risk of being heavy health care users. Methods : Patients reporting moderate to severe CNCP for at least 6 months with an active analgesic prescription from a primary care physician were recruited in community pharmacies. Recruited patients completed questionnaires documenting biopsychosocial characteristics. Using administrative databases, direct costs were estimated for health care services used by each patient in the year preceding and following the recruitment. Heavy health care users were defined as patients in the highest annual direct health care costs quartile. Logistic multivariate regression models using the Akaike information criterion were developed to identify predictors of heavy health care use. Results : The median annual direct health care cost incurred by heavy health care users ( n = 63) was CAD (Canadian dollars) 7627, versus CAD 1554 for standard health care users ( n = 188). The final predictive model of the risks of being a heavy health care user included pain located in the lower body (odds ratio [OR] = 3.03; 95% confidence interval [CI], 1.20–7.65), pain-related disability (OR = 1.24; 95% CI, 1.03–1.48), and health care costs incurred in the year prior to recruitment (OR = 17.67; 95% CI, 7.90–39.48). Variables in the model also included sex, comorbidity, patients' depression level, and attitudes toward medical pain cure. Conclusion : Patients suffering from CNCP in the lower body and showing greater disability were more likely to be heavy health care users, even after adjusting for previous-year direct health care costs. Improving pain management for these patients could have positive impacts on health care use and costs. … (more)
- Is Part Of:
- Canadian journal of pain =. Volume 1:Issue 1(2017)
- Journal:
- Canadian journal of pain =
- Issue:
- Volume 1:Issue 1(2017)
- Issue Display:
- Volume 1, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 1
- Issue:
- 1
- Issue Sort Value:
- 2017-0001-0001-0000
- Page Start:
- 22
- Page End:
- 36
- Publication Date:
- 2017-01-01
- Subjects:
- chronic non-cancer pain -- primary care -- predictors of heavy health care use -- Akaike information criterion
Pain -- Periodicals
Pain -- Treatment -- Periodicals
Pain
Pain Management
Periodicals
616.0472 - Journal URLs:
- http://www.tandfonline.com/loi/ucjp20 ↗
https://www.tandfonline.com/toc/ucjp20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/24740527.2017.1326088 ↗
- Languages:
- English
- ISSNs:
- 2474-0527
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7063.xml