@article{1890, author = {Gordon Schiff and Harry Reyes Nieva and Paula Griswold and Nicholas Leydon and Judy Ling and Frank Federico and Carol Keohane and Bonnie R. Ellis and Cathy Foskett and John Orav and Catherine S. Yoon and Don Goldmann and Joel S. Weissman and David W. Bates and Madeleine Biondolillo and Sara J. Singer}, title = {Randomized Trial of Reducing Ambulatory Malpractice and Safety Risk: Results of the Massachusetts PROMISES Project.}, abstract = {

OBJECTIVE: Evaluate application of quality improvement approaches to key ambulatory malpractice risk and safety areas.

STUDY SETTING: In total, 25 small-to-medium-sized primary care practices (16 intervention; 9 control) in Massachusetts.

STUDY DESIGN: Controlled trial of a 15-month intervention including exposure to a learning network, webinars, face-to-face meetings, and coaching by improvement advisors targeting "3+1" high-risk domains: test result, referral, and medication management plus culture/communication issues evaluated by survey and chart review tools.

DATA COLLECTION METHODS: Chart reviews conducted at baseline and postintervention for intervention sites. Staff and patient survey data collected at baseline and postintervention for intervention and control sites.

PRINCIPAL FINDINGS: Chart reviews demonstrated significant improvements in documentation of abnormal results, patient notification, documentation of an action or treatment plan, and evidence of a completed plan (all P<0.001). Mean days between laboratory test date and evidence of completed action/treatment plan decreased by 19.4 days (P<0.001). Staff surveys showed modest but nonsignificant improvement for intervention practices relative to controls overall and for the 3 high-risk domains that were the focus of PROMISES.

CONCLUSIONS: A consortium of stakeholders, quality improvement tools, coaches, and learning network decreased selected ambulatory safety risks often seen in malpractice claims.

}, year = {2017}, journal = {Med Care}, volume = {55}, pages = {797-805}, month = {12/2017}, issn = {1537-1948}, doi = {10.1097/MLR.0000000000000759}, language = {eng}, }