TY - JOUR
T1 - Organizational influences on time pressure stressors and potential patient consequences in primary care
AU - McDonald, Kathryn M.
AU - Rodriguez, Hector P.
AU - Shortell, Stephen M.
N1 - Funding Information:
Supported by the Patient-Centered Outcomes Research Institute (PCORI) (IHS-1310-06821) and by AHRQ’s Comparative Health System Perfor-mance Initiative (Grant No. 1U19HS024075) which studies how health care delivery systems promote evidence-based practices and patient-centered outcomes research in delivering care. This work is also sup-ported in part by a grant on diagnostic excellence measurement from the Gordon and Betty Moore Foundation (#5783) to Stanford University.
Publisher Copyright:
© 2017 Wolters Kluwer Health, Inc.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Background: Primary care teams face daily time pressures both during patient encounters and outside of appointments. Objectives: We theorize 2 types of time pressure, and test hypotheses about organizational determinants and patient consequences of time pressure. Research Design: Cross-sectional, observational analysis of data from concurrent surveys of care team members and their patients. Subjects: Patients (n =1291 respondents, 73.5% response rate) with diabetes and/or coronary artery disease established with practice teams (n= 353 respondents, 84% response rate) at 16 primary care sites, randomly selected from 2 Accountable Care Organizations. Measures and Analysis: We measured team member perceptions of 2 potentially distinct time pressure constructs: (1) encounter-level, from 7 questions about likelihood that time pressure results in missing patient management opportunities; and (2) practice-level, using practice atmosphere rating from calm to chaotic. The Patient Assessment of Chronic Illness Care (PACIC-11) instrument measured patient-reported experience. Multivariate logistic regression models examined organizational predictors of each time pressure type, and hierarchical models examined time pressure predictors of patient-reported experiences. Results: Encounter-level and practice-level time pressure measures were not correlated, nor predicted by the same organizational variables, supporting the hypothesis of two distinct time pressure constructs. More encounter-level time pressure was most strongly associated with less health information technology capability (odds ratio, 0.33; P<0.01). Greater practice-level time pressure (chaos) was associated with lower PACIC-11 scores (odds ratio, 0.74; P<0.01). Conclusions: Different organizational factors are associated with each forms of time pressure. Potential consequences for patients are missed opportunities in patient care and inadequate chronic care support.
AB - Background: Primary care teams face daily time pressures both during patient encounters and outside of appointments. Objectives: We theorize 2 types of time pressure, and test hypotheses about organizational determinants and patient consequences of time pressure. Research Design: Cross-sectional, observational analysis of data from concurrent surveys of care team members and their patients. Subjects: Patients (n =1291 respondents, 73.5% response rate) with diabetes and/or coronary artery disease established with practice teams (n= 353 respondents, 84% response rate) at 16 primary care sites, randomly selected from 2 Accountable Care Organizations. Measures and Analysis: We measured team member perceptions of 2 potentially distinct time pressure constructs: (1) encounter-level, from 7 questions about likelihood that time pressure results in missing patient management opportunities; and (2) practice-level, using practice atmosphere rating from calm to chaotic. The Patient Assessment of Chronic Illness Care (PACIC-11) instrument measured patient-reported experience. Multivariate logistic regression models examined organizational predictors of each time pressure type, and hierarchical models examined time pressure predictors of patient-reported experiences. Results: Encounter-level and practice-level time pressure measures were not correlated, nor predicted by the same organizational variables, supporting the hypothesis of two distinct time pressure constructs. More encounter-level time pressure was most strongly associated with less health information technology capability (odds ratio, 0.33; P<0.01). Greater practice-level time pressure (chaos) was associated with lower PACIC-11 scores (odds ratio, 0.74; P<0.01). Conclusions: Different organizational factors are associated with each forms of time pressure. Potential consequences for patients are missed opportunities in patient care and inadequate chronic care support.
KW - measurement
KW - organizational performance
KW - patient safety
KW - patient-centered
KW - teams
KW - time pressure
KW - time stress
KW - work conditions
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U2 - 10.1097/MLR.0000000000000974
DO - 10.1097/MLR.0000000000000974
M3 - Article
C2 - 30130270
AN - SCOPUS:85054149350
SN - 0025-7079
VL - 56
SP - 822
EP - 830
JO - Medical care
JF - Medical care
IS - 10
ER -