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1.
J Pain ; 15(11): 1148-1155, 2014 Nov.
Article in English | MEDLINE | ID: mdl-25179150

ABSTRACT

UNLABELLED: Prior studies have demonstrated poor physician adherence to opioid management guidelines in primary care. The objectives of this qualitative study were to understand physicians' and patients' perspectives on recommended opioid management practices and to identify potential barriers to and facilitators of guideline-concordant opioid management in primary care. Individual semistructured interviews were conducted with 14 primary care physicians and 26 of their patients receiving long-term opioid therapy. Data were analyzed using a qualitative immersion/crystallization approach. We identified 3 major barriers to and 1 facilitator of use of recommended opioid management practices. Major barriers were inadequate time and resources available; relying on general impressions of risk for opioid misuse; and viewing opioid monitoring as a "law enforcement" activity. The third barrier was most apparent for physicians in the context of drug testing and for patients in the context of opioid agreements. Beliefs about the need to protect patients from opioid-related harm emerged as a major facilitator, especially among patients. We hypothesize that future interventions to improve opioid management in primary care will be more effective if they address identified barriers and use a patient-centered framework, in which prevention of opioid-related harm to patients is emphasized as the primary goal. PERSPECTIVE: This article describes primary care perspectives on guideline-recommended opioid management practices. Barriers identified in this study may contribute to underuse of recommended opioid management practices. Consideration of barriers and facilitators to guideline-concordant care could improve effectiveness of future interventions aimed at improving opioid management in primary care.


Subject(s)
Analgesics, Opioid/therapeutic use , Chronic Pain/drug therapy , Health Knowledge, Attitudes, Practice , Practice Patterns, Physicians'/statistics & numerical data , Primary Health Care/statistics & numerical data , Humans , Practice Guidelines as Topic , Qualitative Research
2.
Metab Syndr Relat Disord ; 10(3): 225-31, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22324791

ABSTRACT

BACKGROUND: Waist circumference (WC) is a component used to define metabolic syndrome. However, its role as an independent predictor of silent coronary artery disease (CAD), above its contribution to metabolic syndrome, remains unknown. METHODS: Male veterans without known CAD, undergoing cardiac stress testing for indications other than typical angina or its equivalent, were evaluated for the presence of silent CAD. High WC and metabolic syndrome were defined per the revised National Cholesterol Education Program (NCEP-R) and the International Diabetes Federation (IDF) criteria. RESULTS: Data on 1,071 patients (age 61±11 years) were analyzed retrospectively. On multivariable logistic regression analysis [odds ratio (OR), 95% confidence interval (CI), P value), a WC ≥94 cm (1.42, 1.04-1.93; P=0.026), metabolic syndrome by NCEP-R (1.73, 1.29-2.33; P<0.0001), and metabolic syndrome by IDF (1.57, 1.17-2.11; P=0.003) were independent predictors of silent CAD. When comparing patients meeting criteria for metabolic syndrome defined by either NCEP-R or IDF, the prevalence of silent CAD was not statistically different (P=0.86). The prevalence of silent CAD associated with a high WC was not inferior to that seen between silent CAD and metabolic syndrome as defined by either criterion. Last, among patients with metabolic syndrome defined by NCEP-R, those with a high WC as a defining component of metabolic syndrome had a higher prevalence of silent CAD (30% vs. 20%; P=0.026). CONCLUSION: A WC ≥94 cm in males is independently associated with an increased prevalence of silent CAD. In patients with metabolic syndrome, this prevalence is increased by the presence of high WC.


Subject(s)
Coronary Artery Disease/epidemiology , Metabolic Syndrome/epidemiology , Obesity, Abdominal/epidemiology , Waist Circumference , Aged , Asymptomatic Diseases , Chi-Square Distribution , Coronary Artery Disease/diagnosis , Echocardiography, Stress , Exercise Test , Humans , Logistic Models , Male , Metabolic Syndrome/diagnosis , Middle Aged , Multivariate Analysis , Myocardial Perfusion Imaging/methods , Obesity, Abdominal/diagnosis , Odds Ratio , Predictive Value of Tests , Prevalence , Retrospective Studies , Risk Assessment , Risk Factors , Sex Factors , Tomography, Emission-Computed, Single-Photon
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