Accuracy of the Pain Numeric Rating Scale as a Screening Test in Primary Care

BACKGROUNDUniversal pain screening with a 0–10 pain intensity numeric rating scale (NRS) has been widely implemented in primary care.OBJECTIVETo evaluate the accuracy of the NRS as a screening test to identify primary care patients with clinically important pain.DESIGNProspective diagnostic accuracy studyPARTICIPANTS275 adult clinic patients were enrolled from September 2005 to March 2006.MEASUREMENTSWe operationalized clinically important pain using two alternate definitions: (1) pain that interferes with functioning (Brief Pain Inventory interference scale ≥ 5) and (2) pain that motivates a physician visit (patient-reported reason for the visit).RESULTS22% of patients reported a pain symptom as the main reason for the visit. The most common pain locations were lower extremity (21%) and back/neck (18%). The area under the receiver operator characteristic curve for the NRS as a test for pain that interferes with functioning was 0.76, indicating fair accuracy. A pain screening NRS score of 1 was 69% sensitive (95% CI 60–78) for pain that interferes with functioning. Multilevel likelihood ratios for scores of 0, 1–3, 4–6, and 7–10 were 0.39 (0.29–0.53), 0.99 (0.38–2.60), 2.67 (1.56–4.57), and 5.60 (3.06–10.26), respectively. Results were similar when NRS scores were evaluated against the alternate definition of clinically important pain (pain that motivates a physician visit).CONCLUSIONSThe most commonly used measure for pain screening may have only modest accuracy for identifying patients with clinically important pain in primary care. Further research is needed to evaluate whether pain screening improves patient outcomes in primary care.

[1]  K. Kroenke The many C’s of primary care , 2004, Journal of General Internal Medicine.

[2]  D. Ehde,et al.  Pain site and the effects of amputation pain: further clarification of the meaning of mild, moderate, and severe pain , 2001, Pain.

[3]  C. Cleeland,et al.  Validity of the Brief Pain Inventory for Use in Documenting the Outcomes of Patients With Noncancer Pain , 2004, The Clinical journal of pain.

[4]  J. Farrar,et al.  Core outcome domains for chronic pain clinical trials: IMMPACT recommendations , 2003, Pain.

[5]  M. Jensen,et al.  The reliability and validity of pain interference measures in persons with cerebral palsy. , 2002, Archives of physical medicine and rehabilitation.

[6]  Paul Karoly,et al.  Self-report scales and procedures for assessing pain in adults , 1992 .

[7]  J. Farrar,et al.  Core outcome measures for chronic pain clinical trials: IMMPACT recommendations , 2003, Pain.

[8]  C. Patterson,et al.  Joint Commission on Accreditation of Healthcare Organizations. , 1995 .

[9]  Kathleen B. Egan,et al.  The association between pain and disability , 2004, Pain.

[10]  S Kamen,et al.  The task force. , 1976, Journal of hospital dental practice.

[11]  Steven M. Asch,et al.  Measuring pain as the 5th vital sign does not improve quality of pain management , 2006, Journal of General Internal Medicine.

[12]  S. Paul,et al.  Categorizing the severity of cancer pain: further exploration of the establishment of cutpoints , 2005, Pain.

[13]  R. G. Cornell,et al.  Integrating Stratum-specific Likelihood Ratios with the Analysis of ROC Curves , 1993, Medical decision making : an international journal of the Society for Medical Decision Making.

[14]  U. P. S. T. Force Guide to Clinical Preventive Services: Report of the U S Preventive Services Task Force , 1996 .

[15]  J. Hartvigsen,et al.  Categorising the severity of neck pain: Establishment of cut-points for use in clinical and epidemiological research , 2005, Pain.

[16]  R. Fletcher,et al.  Clinical Epidemiology: The Essentials , 1982 .

[17]  Michael Pignone,et al.  Influence of patient literacy on the effectiveness of a primary care-based diabetes disease management program. , 2004, JAMA.

[18]  Katherine R. Edwards,et al.  When is cancer pain mild, moderate or severe? Grading pain severity by its interference with function , 1995, Pain.

[19]  M. Jensen,et al.  Comparative reliability and validity of chronic pain intensity measures , 1999, PAIN.

[20]  S. Satya‐Murti Evidence-based Medicine: How to Practice and Teach EBM , 1997 .

[21]  John W. Williams,et al.  Common comorbidity scales were similar in their ability to predict health care costs and mortality. , 2004, Journal of clinical epidemiology.

[22]  A. Bostrom,et al.  Identification of cut-points for mild, moderate and severe pain due to diabetic peripheral neuropathy , 2005, Pain.

[23]  O. Gureje,et al.  A cross-national study of the course of persistent pain in primary care , 2001, Pain.

[24]  Allen Tw Guide to clinical preventive services. Report of the US Preventive Services Task Force. , 1991 .

[25]  Katrina M. Krause,et al.  Primary care: is there enough time for prevention? , 2003, American journal of public health.

[26]  K. Kroenke,et al.  Outcome in general medical patients presenting with common symptoms: a prospective study with a 2-week and a 3-month follow-up. , 1998, Family practice.

[27]  M. Jensen,et al.  Validation of the Brief Pain Inventory for chronic nonmalignant pain. , 2004, The journal of pain : official journal of the American Pain Society.

[28]  J. Kruse,et al.  Application of stratum-specific likelihood ratios in mental health screening , 2000, Social Psychiatry and Psychiatric Epidemiology.

[29]  Ronald Melzack,et al.  Handbook of pain assessment , 1992 .

[30]  D. Osoba Effect of Cancer On Quality of Life , 1991 .

[31]  Allen F. Shaughnessy,et al.  Clinical Epidemiology: A Basic Science for Clinical Medicine , 2007, BMJ : British Medical Journal.