Documentation of Pain Care Processes Does Not Accurately Reflect Pain Management Delivered in Primary Care

BACKGROUNDResearchers and quality improvement advocates sometimes use review of chart-documented pain care processes to assess the quality of pain management. Studies have found that primary care providers frequently fail to document pain assessment and management.OBJECTIVESTo assess documentation of pain care processes in an academic primary care clinic and evaluate the validity of this documentation as a measure of pain care delivered.DESIGNProspective observational study.PARTICIPANTS237 adult patients at a university-affiliated internal medicine clinic who reported any pain in the last week.MEASURESImmediately after a visit, we asked patients to report the pain treatment they received. Patients completed the Brief Pain Inventory (BPI) to assess pain severity at baseline and 1 month later. We extracted documentation of pain care processes from the medical record and used kappa statistics to assess agreement between documentation and patient report of pain treatment. Using multivariable linear regression, we modeled whether documented or patient-reported pain care predicted change in pain at 1 month.RESULTSParticipants’ mean age was 53.7 years, 66% were female, and 74% had chronic pain. Physicians documented pain assessment for 83% of visits. Patients reported receiving pain treatment more often (67%) than was documented by physicians (54%). Agreement between documentation and patient report was moderate for receiving a new pain medication (k = 0.50) and slight for receiving pain management advice (k = 0.13). In multivariable models, documentation of new pain treatment was not associated with change in pain (p = 0.134). In contrast, patient-reported receipt of new pain treatment predicted pain improvement (p = 0.005).CONCLUSIONSChart documentation underestimated pain care delivered, compared with patient report. Documented pain care processes had no relationship with pain outcomes at 1 month, but patient report of receiving care predicted clinically significant improvement. Chart review measures may not accurately reflect the pain management patients receive in primary care.

[1]  J F Hurdle,et al.  Direct text entry in electronic progress notes. An evaluation of input errors. , 2003, Methods of information in medicine.

[2]  J. Jackson Communication about symptoms in primary care: impact on patient outcomes. , 2005, Journal of alternative and complementary medicine.

[3]  R. Spitzer,et al.  Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire. , 1999, JAMA.

[4]  M. Gerrity,et al.  Screening for depression and suicidality in a VA primary care setting: 2 items are better than 1 item. , 2004, The American journal of managed care.

[5]  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.

[6]  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.

[7]  J. Kleijnen,et al.  Influence of context effects on health outcomes: a systematic review , 2001, The Lancet.

[8]  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.

[9]  Marc M. Triola,et al.  Brief report: Failure of an electronic medical record tool to improve pain assessment documentation , 2006, Journal of General Internal Medicine.

[10]  M. Stewart,et al.  The impact of patient-centered care on outcomes. , 2000, The Journal of family practice.

[11]  Lisa M. Schwartz,et al.  Office visits and analgesic prescriptions for musculoskeletal pain in US: 1980 vs. 2000 , 2004, Pain.

[12]  Timothy S. Carey,et al.  Accuracy of the Pain Numeric Rating Scale as a Screening Test in Primary Care , 2007, Journal of General Internal Medicine.

[13]  Charlene R. Weir,et al.  Direct Text Entry in Electronic Progress Notes , 2003, Methods of Information in Medicine.

[14]  O. Gureje,et al.  Persistent Pain and Well Being: a World Health Organization Study in Primary Care , 1999 .

[15]  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.

[16]  C. Hewitt,et al.  Screening for Depression in Medical Settings with the Patient Health Questionnaire (PHQ): A Diagnostic Meta-Analysis , 2007, Journal of General Internal Medicine.

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

[18]  R. Spitzer,et al.  The PHQ-9: validity of a brief depression severity measure. , 2001, Journal of general internal medicine.

[19]  P. Shekelle,et al.  Quality Indicators for Pain Management in Vulnerable Elders , 2001, Annals of Internal Medicine.

[20]  R. Spitzer,et al.  The PHQ-9: A new depression diagnostic and severity measure , 2002 .

[21]  David Cella,et al.  Interpreting the clinical importance of treatment outcomes in chronic pain clinical trials: IMMPACT recommendations. , 2008, The journal of pain : official journal of the American Pain Society.

[22]  M. Triola,et al.  Brief report: Failure of an electronic medical record tool to improve pain assessment documentation , 2006 .