AIM: To apply in practice a series of validated indicators for preventable drug related morbidity (PDRM). DESIGN: A pilot study to identify retrospectively potential PDRM events over a 2 year 3 month time frame using the MIQUEST computer software program. SUBJECTS AND SETTING: The electronic patient record of all patients aged 18 years and over in nine English general practices. OUTCOME MEASURES: The number of potential PDRM events identified, as defined by the indicators. RESULTS: Five hundred and seven potential PDRM events were identified from 49 658 electronic patient records, giving an overall incidence of 1.0%. A small number of the indicators (n = 4) accounted for approximately 60% of the events, while for many indicators few events were identified. The most common events related to the use of non-steroidal anti-inflammatory drugs in patients with congestive heart failure or hypertension, lack of monitoring in patients prescribed angiotensin converting enzyme inhibitors, and the use of hypnotic-anxiolytic agents. CONCLUSIONS: A small number of indicators contributed to the majority of the PDRM events. Interrogation of electronic patient records in primary care using computerised queries shows potential for detecting PDRM.
AIM: To apply in practice a series of validated indicators for preventable drug related morbidity (PDRM). DESIGN: A pilot study to identify retrospectively potential PDRM events over a 2 year 3 month time frame using the MIQUEST computer software program. SUBJECTS AND SETTING: The electronic patient record of all patients aged 18 years and over in nine English general practices. OUTCOME MEASURES: The number of potential PDRM events identified, as defined by the indicators. RESULTS: Five hundred and seven potential PDRM events were identified from 49 658 electronic patient records, giving an overall incidence of 1.0%. A small number of the indicators (n = 4) accounted for approximately 60% of the events, while for many indicators few events were identified. The most common events related to the use of non-steroidal anti-inflammatory drugs in patients with congestive heart failure or hypertension, lack of monitoring in patients prescribed angiotensin converting enzyme inhibitors, and the use of hypnotic-anxiolytic agents. CONCLUSIONS: A small number of indicators contributed to the majority of the PDRM events. Interrogation of electronic patient records in primary care using computerised queries shows potential for detecting PDRM.
Authors: Nancy E Winslade; Robyn M Tamblyn; Laurel K Taylor; Lambert W T Schuwirth; Cees P M Van der Vleuten Journal: Am J Pharm Educ Date: 2007-02-15 Impact factor: 2.047
Authors: Anthony J Avery; Grant M Dex; Caroline Mulvaney; Brian Serumaga; Rachel Spencer; Helen E Lester; Stephen M Campbell Journal: Br J Gen Pract Date: 2011-08 Impact factor: 5.386
Authors: Anthony J Avery; Sarah Rodgers; Judith A Cantrill; Sarah Armstrong; Rachel Elliott; Rachel Howard; Denise Kendrick; Caroline J Morris; Scott A Murray; Robin J Prescott; Kathrin Cresswell; Aziz Sheikh Journal: Trials Date: 2009-05-01 Impact factor: 2.279