Impact of an electronic medication management system on hospital doctors’ and nurses’ work: a controlled pre–post, time and motion study

Objective To quantify and compare the time doctors and nurses spent on direct patient care, medication-related tasks, and interactions before and after electronic medication management system (eMMS) introduction. Methods Controlled pre–post, time and motion study of 129 doctors and nurses for 633.2 h on four wards in a 400-bed hospital in Sydney, Australia. We measured changes in proportions of time on tasks and interactions by period, intervention/control group, and profession. Results eMMS was associated with no significant change in proportions of time spent on direct care or medication-related tasks relative to control wards. In the post-period control ward, doctors spent 19.7% (2 h/10 h shift) of their time on direct care and 7.4% (44.4 min/10 h shift) on medication tasks, compared to intervention ward doctors (25.7% (2.6 h/shift; p=0.08) and 8.5% (51 min/shift; p=0.40), respectively). Control ward nurses in the post-period spent 22.1% (1.9 h/8.5 h shift) of their time on direct care and 23.7% on medication tasks compared to intervention ward nurses (26.1% (2.2 h/shift; p=0.23) and 22.6% (1.9 h/shift; p=0.28), respectively). We found intervention ward doctors spent less time alone (p=0.0003) and more time with other doctors (p=0.003) and patients (p=0.009). Nurses on the intervention wards spent less time with doctors following eMMS introduction (p=0.0001). Conclusions eMMS introduction did not result in redistribution of time away from direct care or towards medication tasks. Work patterns observed on these intervention wards were associated with previously reported significant reductions in prescribing error rates relative to the control wards.

[1]  Joan S. Ash,et al.  Research Paper: Emotional Aspects of Computer-based Provider Order Entry: A Qualitative Study , 2005, J. Am. Medical Informatics Assoc..

[2]  R. Bal,et al.  Evaluation of the Impact of a CPOE System on Nurse-physician Communication , 2009, Methods of Information in Medicine.

[3]  Andrew Georgiou,et al.  Model Formulation: Multimethod Evaluation of Information and Communication Technologies in Health in the Context of Wicked Problems and Sociotechnical Theory , 2007, J. Am. Medical Informatics Assoc..

[4]  Eric G. Poon,et al.  Research Paper: The Extent and Importance of Unintended Consequences Related to Computerized Provider Order Entry , 2007, J. Am. Medical Informatics Assoc..

[5]  B. Franklin,et al.  The impact of a closed-loop electronic prescribing and administration system on prescribing errors, administration errors and staff time: a before-and-after study , 2007, Quality and Safety in Health Care.

[6]  E. Thomas,et al.  Workflow in intensive care unit remote monitoring: A time-and-motion study* , 2007, Critical care medicine.

[7]  Kai Zheng,et al.  Using the time and motion method to study clinical work processes and workflow: methodological inconsistencies and a call for standardized research , 2011, J. Am. Medical Informatics Assoc..

[8]  Thomas H. Payne,et al.  Prescriber and staff perceptions of an electronic prescribing system in primary care: a qualitative assessment , 2010, BMC Medical Informatics Decis. Mak..

[9]  Johanna I. Westbrook,et al.  Model Formulation: Contextual Implementation Model: A Framework for Assisting Clinical Information System Implementations , 2008, J. Am. Medical Informatics Assoc..

[10]  Richard J. Holden,et al.  Physicians' beliefs about using EMR and CPOE: In pursuit of a contextualized understanding of health IT use behavior , 2010, Int. J. Medical Informatics.

[11]  David W. Bates,et al.  Research Paper: Electronic Health Records in Specialty Care: A Time-Motion Study , 2007, J. Am. Medical Informatics Assoc..

[12]  David W Bates,et al.  Quantifying Nursing Workflow in Medication Administration , 2008, The Journal of nursing administration.

[13]  Andrew Georgiou,et al.  When requests become orders - A formative investigation into the impact of a computerized physician order entry system on a pathology laboratory service , 2007, Int. J. Medical Informatics.

[14]  M. Baysari,et al.  Implementing electronic medication management at an Australian teaching hospital , 2011, The Medical journal of Australia.

[15]  B Dean,et al.  Validity and reliability of observational methods for studying medication administration errors. , 2001, American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists.

[16]  Kai Zheng,et al.  Quantifying the impact of health IT implementations on clinical workflow: a new methodological perspective , 2010, J. Am. Medical Informatics Assoc..

[17]  Johanna I. Westbrook,et al.  Research Paper: The Effect of Physicians' Long-term Use of CPOE on Their Test Management Work Practices , 2006, J. Am. Medical Informatics Assoc..

[18]  Margaret Williamson,et al.  Methods for Measuring the Impact of Health Information Technologies on Clinicians' Patterns of Work and Communication , 2007, MedInfo.

[19]  J I Westbrook,et al.  Understanding the impact on intensive care staff workflow due to the introduction of a critical care information system: a mixed methods research methodology. , 2009, Studies in health technology and informatics.

[20]  K. Rask,et al.  Nurses' Perceptions and Experiences With the Implementation of a Medication Administration System , 2011, Computers, informatics, nursing : CIN.

[21]  C. Anandan,et al.  The Impact of eHealth on the Quality and Safety of Health Care: A Systematic Overview , 2011, PLoS medicine.

[22]  G. Pierpont,et al.  Effect of computerized charting on nursing activity in intensive care. , 1995, Critical care medicine.

[23]  William Hollingworth,et al.  Electronic prescribing at the point of care: a time-motion study in the primary care setting. , 2010, Health services research.

[24]  Patrice Degoulet,et al.  Impact of CPOE on doctor-nurse cooperation for the medication ordering and administration process , 2005, Int. J. Medical Informatics.

[25]  J. Braithwaite,et al.  Effects of Two Commercial Electronic Prescribing Systems on Prescribing Error Rates in Hospital In-Patients: A Before and After Study , 2012, PLoS medicine.

[26]  J M Teich,et al.  Impact of computerized physician order entry on physician time. , 1994, Proceedings. Symposium on Computer Applications in Medical Care.

[27]  Johanna Westbrook,et al.  A comparison of self-reported and observational work sampling techniques for measuring time in nursing tasks , 2007, Journal of health services research & policy.

[28]  B. Middel The impact of electronic health records on time efficiency of physicians and nurses: a systematic review1) , 2008 .

[29]  Ling Li,et al.  Changes in nurses' work associated with computerised information systems: Opportunities for international comparative studies using the revised Work Observation Method By Activity Timing (WOMBAT) , 2012, Nursing Informatics.

[30]  David W. Bates,et al.  Primary care physician time utilization before and after implementation of an electronic health record: A time-motion study , 2005, J. Biomed. Informatics.

[31]  Johanna I. Westbrook,et al.  Validation of the Work Observation Method By Activity Timing (WOMBAT) method of conducting time-motion observations in critical care settings: an observational study , 2011, BMC Medical Informatics Decis. Mak..

[32]  Robyn Tamblyn,et al.  Enabling Medication Management Through Health Information Technology , 2011 .

[33]  Melissa M. Honour,et al.  Overcoming barriers to adopting and implementing computerized physician order entry systems in U.S. hospitals. , 2004, Health affairs.

[34]  Thomas McGinn,et al.  Tips for learners of evidence-based medicine: 3. Measures of observer variability (kappa statistic) , 2004, Canadian Medical Association Journal.

[35]  J. Westbrook,et al.  Mobile and Fixed Computer Use by Doctors and Nurses on Hospital Wards: Multi-method Study on the Relationships Between Clinician Role, Clinical Task, and Device Choice , 2009, Journal of medical Internet research.

[36]  Andrew Georgiou,et al.  Computerized Provider Order Entry - What are health professionals concerned about? A qualitative study in an Australian hospital , 2009, Int. J. Medical Informatics.

[37]  Joan S. Ash,et al.  An Unintended Consequence of CPOE Implementation: Shifts in Power, Control, and Autonomy , 2006, AMIA.

[38]  Ann Scheck McAlearney,et al.  The story behind the story: Physician skepticism about relying on clinical information technologies to reduce medical errors , 2007, Int. J. Medical Informatics.

[39]  S. Simmons,et al.  Direct observations of nursing home care quality: Does care change when observed? , 2006, Journal of the American Medical Directors Association.

[40]  J. Marc Overhage,et al.  Research Paper: Controlled Trial of Direct Physician Order Entry: Effects on Physicians' Time Utilization in Ambulatory Primary Care Internal Medicine Practices , 2001, J. Am. Medical Informatics Assoc..

[41]  A. Localio,et al.  Role of computerized physician order entry systems in facilitating medication errors. , 2005, JAMA.

[42]  Emily Beth Devine,et al.  Technology Evaluation: The Impact of e-Prescribing on Prescriber and Staff Time in Ambulatory Care Clinics: A Time-Motion Study , 2007, J. Am. Medical Informatics Assoc..

[43]  C. McDonald,et al.  Physician inpatient order writing on microcomputer workstations. Effects on resource utilization. , 1993, JAMA.

[44]  James D. Carpenter,et al.  Adding Insight: A Qualitative Cross-Site Study of Physician Order Entry , 2004, MedInfo.

[45]  W. Dunsmuir,et al.  The impact of interruptions on clinical task completion , 2010, Quality and Safety in Health Care.

[46]  Johanna I. Westbrook,et al.  Design, application and testing of the Work Observation Method by Activity Timing (WOMBAT) to measure clinicians' patterns of work and communication , 2009, Int. J. Medical Informatics.

[47]  Robyn Tamblyn,et al.  Review Paper: The Impact of Electronic Health Records on Time Efficiency of Physicians and Nurses: A Systematic Review , 2005, J. Am. Medical Informatics Assoc..