OBJECTIVE: To develop an instrument to measure organizational attributes relevant for family practices using the perspectives of clinicians, nurses, and staff. DATA SOURCES/STUDY SETTING: Clinicians, nurses, and office staff (n=640) from 51 community family medicine practices. DESIGN: A survey, designed to measure a practices' internal resources for change, for use in family medicine practices was created by a multidisciplinary panel of experts in primary care research and health care organizational performance. This survey was administered in a cross-sectional study to a sample of diverse practices participating in an intervention trial. A factor analysis identified groups of questions relating to latent constructs of practices' internal resources for capacity to change. ANOVA methods were used to confirm that the factors differentiated practices. DATA COLLECTION: The survey was administered to all staff from 51 practices. PRINCIPAL FINDINGS: The factor analysis resulted in four stable and internally consistent factors. Three of these factors, "communication,""decision-making," and "stress/chaos," describe resources for change in primary care practices. One factor, labeled "history of change," may be useful in assessing the success of interventions. CONCLUSIONS: A 21-item questionnaire can reliably measure four important organizational attributes relevant to family practices. These attributes can be used both as outcome measures as well as important features for targeting system interventions.
OBJECTIVE: To develop an instrument to measure organizational attributes relevant for family practices using the perspectives of clinicians, nurses, and staff. DATA SOURCES/STUDY SETTING: Clinicians, nurses, and office staff (n=640) from 51 community family medicine practices. DESIGN: A survey, designed to measure a practices' internal resources for change, for use in family medicine practices was created by a multidisciplinary panel of experts in primary care research and health care organizational performance. This survey was administered in a cross-sectional study to a sample of diverse practices participating in an intervention trial. A factor analysis identified groups of questions relating to latent constructs of practices' internal resources for capacity to change. ANOVA methods were used to confirm that the factors differentiated practices. DATA COLLECTION: The survey was administered to all staff from 51 practices. PRINCIPAL FINDINGS: The factor analysis resulted in four stable and internally consistent factors. Three of these factors, "communication,""decision-making," and "stress/chaos," describe resources for change in primary care practices. One factor, labeled "history of change," may be useful in assessing the success of interventions. CONCLUSIONS: A 21-item questionnaire can reliably measure four important organizational attributes relevant to family practices. These attributes can be used both as outcome measures as well as important features for targeting system interventions.
Authors: Alfred F Tallia; Kurt C Stange; Reuben R McDaniel; Virginia A Aita; William L Miller; Benjamin F Crabtree Journal: J Healthc Manag Date: 2003 Jan-Feb
Authors: J ØVretveit; P Bate; P Cleary; S Cretin; D Gustafson; K McInnes; H McLeod; T Molfenter; P Plsek; G Robert; S Shortell; T Wilson Journal: Qual Saf Health Care Date: 2002-12
Authors: Robert Graham; Richard G Roberts; Daniel J Ostergaard; Norman B Kahn; Perry A Pugno; Larry A Green Journal: JAMA Date: 2002-09-04 Impact factor: 56.272
Authors: Carlos Roberto Jaén; Benjamin F Crabtree; Raymond F Palmer; Robert L Ferrer; Paul A Nutting; William L Miller; Elizabeth E Stewart; Robert Wood; Marivel Davila; Kurt C Stange Journal: Ann Fam Med Date: 2010 Impact factor: 5.166
Authors: W Perry Dickinson; L Miriam Dickinson; Paul A Nutting; Caroline B Emsermann; Brandon Tutt; Benjamin F Crabtree; Lawrence Fisher; Marjie Harbrecht; Allyson Gottsman; David R West Journal: Ann Fam Med Date: 2014 Jan-Feb Impact factor: 5.166
Authors: Derek D Satre; Alexandra N Anderson; Amy S Leibowitz; Tory Levine-Hall; Sally Slome; Jason Flamm; C Bradley Hare; Jennifer McNeely; Constance M Weisner; Michael A Horberg; Paul Volberding; Michael J Silverberg Journal: Contemp Clin Trials Date: 2019-08-22 Impact factor: 2.226
Authors: Ilana Graetz; Mary Reed; Stephen M Shortell; Thomas G Rundall; Jim Bellows; John Hsu Journal: Health Serv Res Date: 2013-12-21 Impact factor: 3.402
Authors: Linda Y Kim; Danielle E Rose; Lynn M Soban; Susan E Stockdale; Lisa S Meredith; Samuel T Edwards; Christian D Helfrich; Lisa V Rubenstein Journal: J Gen Intern Med Date: 2017-09-25 Impact factor: 5.128
Authors: Erin P Finley; Jacqueline A Pugh; Holly Jordan Lanham; Luci K Leykum; John Cornell; Poornachand Veerapaneni; Michael L Parchman Journal: Ann Fam Med Date: 2013 Nov-Dec Impact factor: 5.166
Authors: Kurt C Stange; Paul A Nutting; William L Miller; Carlos R Jaén; Benjamin F Crabtree; Susan A Flocke; James M Gill Journal: J Gen Intern Med Date: 2010-06 Impact factor: 5.128
Authors: Alvaro Sanchez; Gonzalo Grandes; Josep M Cortada; Haizea Pombo; Laura Balague; Carlos Calderon Journal: BMC Health Serv Res Date: 2009-06-18 Impact factor: 2.655