An intervention model that promotes accountability: peer messengers and patient/family complaints.

BACKGROUND Patients and their families are well positioned to partner with health care organizations to help identify unsafe and dissatisfying behaviors and performance. A peer messenger process was designed by the Center for Professional and Patient Advocacy at Vanderbilt University Medical Center (Nashville, Tennessee) to address "high-risk" physicians identified through analysis of unsolicited patient complaints, a proxy for risk of lawsuits. METHODS This retrospective, descriptive study used peer messenger debriefing results from data-driven interventions at 16 geographically disparate community (n = 7) and academic (n = 9) medical centers in the United States. Some 178 physicians served as peer messengers, conducting interventions from 2005, through 2009 on 373 physicians identified as high risk. RESULTS Most (97%) of the high-risk physicians received the feedback professionally, and 64% were "Responders." Responders' risk scores improved at least 15%, where Nonresponders' scores worsened (17%) or remained unchanged (19%) (p < or = .001). Responders were more often physicians practicing in medicine and surgery than emergency medicine physicians, had longer organizational tenures, and engaged in lengthier first-time intervention meetings with messengers. Years to achieve responder status correlated positively with initial communication-related complaints (r = .32, p < .001), but all complaint categories were equally likely to change over time. CONCLUSIONS Peer messengers, recognized by leaders and appropriately supported with ongoing training, high-quality data, and evidence of positive outcomes, are willing to intervene with colleagues over an extended period of time. The physician peer messenger process reduces patient complaints and is adaptable to addressing unnecessary variation in other quality/safety metrics.

[1]  K. Hunt,et al.  Accounts of disagreements with doctors. , 1998, Social science & medicine.

[2]  E. Clayton,et al.  Development of an Early Identification and Response Model of Malpractice Prevention , 1997 .

[3]  John P. Mullooly,et al.  Physician-Patient Communication: The Relationship With Malpractice Claims Among Primary Care Physicians and Surgeons , 1997 .

[4]  J. Pichert,et al.  Using Patient Complaints to Promote Patient Safety , 2008 .

[5]  W. Schaffner,et al.  Improving antibiotic prescribing in office practice. A controlled trial of three educational methods. , 1983, JAMA.

[6]  G. Hickson,et al.  Physicians influence and the malpractice problem. , 2010, Obstetrics and gynecology.

[7]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[8]  M. Young,et al.  Why do people sue doctors? A study of patients and relatives taking legal action , 1994, The Lancet.

[9]  J. Kruger,et al.  Unskilled and unaware of it: how difficulties in recognizing one's own incompetence lead to inflated self-assessments. , 1999, Journal of personality and social psychology.

[10]  E. Clayton,et al.  Obstetricians' prior malpractice experience and patients' satisfaction with care. , 1994, JAMA.

[11]  J. Pichert,et al.  A Complementary Approach to Promoting Professionalism: Identifying, Measuring, and Addressing Unprofessional Behaviors , 2007, Academic medicine : journal of the Association of American Medical Colleges.

[12]  S. Soumerai,et al.  Principles and Uses of Academic Detailing to Improve the Management of Psychiatric Disorders , 1998, International journal of psychiatry in medicine.

[13]  P. Pronovost,et al.  Assessing safety culture: guidelines and recommendations , 2005, Quality and Safety in Health Care.

[14]  C. Ferguson An effect size primer: A guide for clinicians and researchers. , 2009 .

[15]  W. Schaffner,et al.  Improving antibiotic prescribing in outpatient practice. Nonassociation of outcome with prescriber characteristics and measures of receptivity. , 1985, Medical care.

[16]  Andrew V. Dane,et al.  Program integrity in primary and early secondary prevention: are implementation effects out of control? , 1998, Clinical psychology review.

[17]  Kerri L. Johnson,et al.  Why the Unskilled are Unaware: Further Explorations of (Absent) Self-Insight Among the Incompetent , 2006, Organizational behavior and human decision processes.

[18]  F A Sloan,et al.  Factors that prompted families to file medical malpractice claims following perinatal injuries. , 1992, JAMA.

[19]  G. van der Wal,et al.  To what extent are adverse events found in patient records reported by patients and healthcare professionals via complaints, claims and incident reports? , 2011, BMC health services research.

[20]  Charles R Denham,et al.  Fair and just culture, team behavior, and leadership engagement: The tools to achieve high reliability. , 2006, Health services research.

[21]  Albert J. J. A. Scherpbier,et al.  A Comprehensive Overview of Medical Error in Hospitals Using Incident-Reporting Systems, Patient Complaints and Chart Review of Inpatient Deaths , 2012, PloS one.

[22]  C R Davis,et al.  Infection-free surgery: how to improve hand-hygiene compliance and eradicate methicillin-resistant Staphylococcus aureus from surgical wards. , 2010, Annals of the Royal College of Surgeons of England.

[23]  J. Tamayo-Sarver,et al.  Association of patient satisfaction with complaints and risk management among emergency physicians. , 2011, The Journal of emergency medicine.

[24]  J. Pichert,et al.  Identifying medical center units with disproportionate shares of patient complaints. , 1999, The Joint Commission journal on quality improvement.

[25]  J. Pichert,et al.  Medical malpractice claims risk in urology: an empirical analysis of patient complaint data. , 2010, The Journal of urology.

[26]  M. J. Segal Doctors' Decisions and the Cost of Medical Practice: The Reasons for Doctors' Practice Patterns and Ways to Change Them , 1988 .

[27]  S B Soumerai,et al.  Principles of educational outreach ('academic detailing') to improve clinical decision making. , 1990, JAMA.

[28]  W. Schaffner,et al.  Reducing antipsychotic drug prescribing for nursing home patients: a controlled trial of the effect of an educational visit. , 1987, American journal of public health.

[29]  R. Brant,et al.  Identification by families of pediatric adverse events and near misses overlooked by health care providers , 2012, Canadian Medical Association Journal.

[30]  Paula S Kent,et al.  Assessing and improving safety culture throughout an academic medical centre: a prospective cohort study , 2010, Quality and Safety in Health Care.

[31]  J. Pichert,et al.  Relationship between patient complaints and surgical complications , 2006, Quality and Safety in Health Care.

[32]  T. Johnson,et al.  The Use of Patient Satisfaction Surveys and Alternative Coding Procedures to Predict Malpractice Risk , 2009, Medical care.

[33]  J. Avorn,et al.  Predictors of Physician Prescribing Change in an Educational Experiment to Improve Medication Use , 1987, Medical care.

[34]  J. Pichert,et al.  Professionalism in support of pediatric cardio-thoracic surgery: A case of a bright young surgeon , 2011 .

[35]  Titus L. Daniels,et al.  Sustained Improvement in Hand Hygiene Adherence: Utilizing Shared Accountability and Financial Incentives , 2013, Infection Control &#x0026; Hospital Epidemiology.

[36]  Patrick H. Conway,et al.  Value-based purchasing--national programs to move from volume to value. , 2012, The New England journal of medicine.

[37]  J. Pichert,et al.  Patient Complaints and Malpractice Risk in a Regional Healthcare Center , 2007, Southern medical journal.

[38]  G. Hickson,et al.  Characteristics of families that complain following pediatric emergency visits. , 2005, Ambulatory pediatrics : the official journal of the Ambulatory Pediatric Association.

[39]  W. Weeks,et al.  Measuring patient safety climate: a review of surveys , 2005, Quality and Safety in Health Care.

[40]  J. Pichert,et al.  Patient complaints and malpractice risk. , 2002, JAMA.

[41]  P. Lachenbruch Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[42]  Peter J Pronovost,et al.  A check-up for safety culture in "my patient care area". , 2007, Joint Commission journal on quality and patient safety.

[43]  G. Ritter,et al.  Measuring outcomes and efficiency in medicare value-based purchasing. , 2009, Health affairs.

[44]  T. Powers,et al.  The role of complaint management in the service recovery process. , 2001, The Joint Commission journal on quality improvement.

[45]  Engaging Pediatricians in Developmental Screening: The Effectiveness of Academic Detailing , 2012, Journal of autism and developmental disorders.

[46]  J. Eisenberg,et al.  Changing physicians' practices. , 1993, Tobacco control.

[47]  J. Pichert,et al.  Addressing behavior and performance issues that threaten quality and patient safety: What your attorneys want you to know , 2012 .

[48]  Jesse M. Ehrenfeld,et al.  An Analysis of Risk Factors for Patient Complaints About Ambulatory Anesthesiology Care , 2013, Anesthesia and analgesia.

[49]  J. Pichert,et al.  All trauma surgeons are not created equal: asymmetric distribution of malpractice claims risk. , 2010, The Journal of trauma.

[50]  Carol A. Keohane,et al.  Integrating incident data from five reporting systems to assess patient safety: making sense of the elephant. , 2010, Joint Commission journal on quality and patient safety.

[51]  Robert E. Slavin,et al.  IBM's Writing to Read: Is It Right for Reading?. , 1990 .

[52]  Best practices for basic and advanced skills in health care service recovery: a case study of a re-admitted patient. , 2010, Joint Commission journal on quality and patient safety.

[53]  E John Orav,et al.  The relation of patient satisfaction with complaints against physicians and malpractice lawsuits. , 2005, The American journal of medicine.

[54]  T. J. Breen,et al.  Biostatistical Analysis (2nd ed.). , 1986 .

[55]  Behaviors that undermine a culture of safety. , 2008, Sentinel event alert.