OBJECTIVES: To develop a set of prescribing indicators measurable with available data from electronic nursing home (NH) databases by adapting the European-based 2014 Screening Tool of Older Person's Prescriptions (STOPP) and Screening Tools to Alert Doctors to Right Treatment (START) criteria of potentially inappropriate and underused medications for the U.S. DESIGN: A two-stage expert panel process. In the first stage, the investigator team reviewed 114 criteria for compatibility and measurability. In the second stage, an online modified e-Delphi (OMD) panel was convened to rate the validity of criteria, and two webinars were held to identify criteria with highest relevance to U.S. NHs. PARTICIPANTS: Seventeen experts with recognized reputations in NH care participated in the e-Delphi panel and 12 in the webinar. MEASUREMENTS: Compatibility and measurability were assessed by comparing criteria with U.S. terminology and setting standards and data elements in NH databases. Validity was rated using a 9-point Likert-type scale (1 = not valid at all, 9 = highly valid). Mean, median, interpercentile ranges, and agreement were determined for each criterion score. Relevance was determined by ranking the mean panel ratings on criteria that reached agreement; the webinar participants reviewed and approved half of the criteria with the highest mean values. RESULTS: Fifty-three STOPP/START criteria were deemed to be compatible with the U.S. NH setting and measurable using data from electronic NH databases. E-Delphi panelists rated 48 criteria as valid for U.S. NHs. Twenty-four criteria were deemed to be most relevant, consisting of 22 measures of potentially inappropriate medications and two measures of underused medications. CONCLUSION: This study created the first explicit criteria for assessing the quality of prescribing in U.S. NHs.
OBJECTIVES: To develop a set of prescribing indicators measurable with available data from electronic nursing home (NH) databases by adapting the European-based 2014 Screening Tool of Older Person's Prescriptions (STOPP) and Screening Tools to Alert Doctors to Right Treatment (START) criteria of potentially inappropriate and underused medications for the U.S. DESIGN: A two-stage expert panel process. In the first stage, the investigator team reviewed 114 criteria for compatibility and measurability. In the second stage, an online modified e-Delphi (OMD) panel was convened to rate the validity of criteria, and two webinars were held to identify criteria with highest relevance to U.S. NHs. PARTICIPANTS: Seventeen experts with recognized reputations in NH care participated in the e-Delphi panel and 12 in the webinar. MEASUREMENTS: Compatibility and measurability were assessed by comparing criteria with U.S. terminology and setting standards and data elements in NH databases. Validity was rated using a 9-point Likert-type scale (1 = not valid at all, 9 = highly valid). Mean, median, interpercentile ranges, and agreement were determined for each criterion score. Relevance was determined by ranking the mean panel ratings on criteria that reached agreement; the webinar participants reviewed and approved half of the criteria with the highest mean values. RESULTS: Fifty-three STOPP/START criteria were deemed to be compatible with the U.S. NH setting and measurable using data from electronic NH databases. E-Delphi panelists rated 48 criteria as valid for U.S. NHs. Twenty-four criteria were deemed to be most relevant, consisting of 22 measures of potentially inappropriate medications and two measures of underused medications. CONCLUSION: This study created the first explicit criteria for assessing the quality of prescribing in U.S. NHs.
Authors: Cynthia A Claassen; Jane L Pearson; Dmitry Khodyakov; Phillip M Satow; Robert Gebbia; Alan L Berman; Daniel J Reidenberg; Saul Feldman; Sherry Molock; Michelle C Carras; René M Lento; Joel Sherrill; Beverly Pringle; Siddhartha Dalal; Thomas R Insel Journal: Am J Prev Med Date: 2014-04-18 Impact factor: 5.043
Authors: Becky A Briesacher; Stephen B Soumerai; Terry S Field; Hassan Fouayzi; Jerry H Gurwitz Journal: J Am Geriatr Soc Date: 2009-08-21 Impact factor: 5.562
Authors: Lisa Rubenstein; Dmitry Khodyakov; Susanne Hempel; Margie Danz; Susanne Salem-Schatz; Robbie Foy; Sean O'Neill; Siddhartha Dalal; Paul Shekelle Journal: Int J Qual Health Care Date: 2013-12-04 Impact factor: 2.038
Authors: Jordan B Sparks; Mandi L Klamerus; Tanner J Caverly; Sarah E Skurla; Timothy P Hofer; Eve A Kerr; Steven J Bernstein; Laura J Damschroder Journal: J Med Internet Res Date: 2022-08-26 Impact factor: 7.076