The Use of Patient Satisfaction Surveys and Alternative Coding Procedures to Predict Malpractice Risk
Bibliographic Data
| ID | 9100515 |
|---|---|
| Authors | Francis Fullam (corresponding author), Andrew N Garman (0000-0001-6733-4951, Rush University, corresponding author), Tricia J Johnson (0000-0003-4768-0042, Rush University, corresponding author), E C Hedberg (0000-0003-0679-0720, University of Chicago) |
| Year | 2009 |
| Volume | 47 |
| Issue | 5 |
| Pages | 553-559 |
| Publication date | 2009-05-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0b013e3181923fd7 |
| PMID | 19365294 |
| OpenAlex | W1985036670 |
| Language | EN |
| Citations received | 1 |
| References cited | 27 |
PURPOSE: Because costs associated with malpractice litigation draw substantial resources away from patient care, many health care organizations are seeking efficient methods to manage these risks. The purpose of this study was to identify methods by which commonly available patient satisfaction indicators could be used to identify potential malpractice litigation risks. SUBJECT AND METHODS: Using data from the risk management department of a large academic medical center, we combined yearly administrative records from 1998 to 2006 of malpractice-related litigation activity, with patient satisfaction scores related to attending physicians. We then applied 3 approaches to code patient satisfaction for each year: (1) calculating the overall mean, (2) assigning tertiles, and (3) identifying the minimum satisfaction response to any question. We then estimated 3 versions of random-effect logit models to examine which estimators predicted whether an attending physician was named in a lawsuit in a given year. RESULTS: Minimum satisfaction score was significantly associated with malpractice activity; the other analytic approaches did not yield significant associations. Although patient satisfaction explained little variation in an individual physician's contribution to malpractice risk, accounting for the minimum score explained more than a quarter of a department's contribution. CONCLUSIONS: Findings suggest that minimum satisfaction score may provide a useful metric for identifying and prioritizing malpractice risks
Actuarial science · Business · Coding (social sciences) · Family medicine · Health care · Lawsuit · Logistic regression · Malpractice · Medical emergency · Medical malpractice · Metric (unit) · Patient satisfaction · Statistics · Healthcare Policy and Management · Marketing · Medical Malpractice and Liability Issues · Medicine · Nursing · Patient Safety and Medication Errors · Psychology
Physician-Patient Communication The Relationship With Malpractice Claims Among Primary Care Physicians and Surgeons
Hierarchical linear models
Medical Malpractice Problem
The Reform of Medical Liability
Patient Satisfaction with the General Practitioner
Beyond negligence
Injury, Liability, and the Decision to File a Medical Malpractice Claim
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,2 |
| Citation span | 2021 - 2021 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |