Literature DB >> 7775988

Measuring activities in clinical trials using random work sampling: implications for cost-effectiveness analysis and measurement of the intervention.

E Oddone1, M Weinberger, A Hurder, W Henderson, D Simel.   

Abstract

Determining research-related costs from intervention-related costs is important for both clinical and health services research. Often this task involves estimating what proportion of the workday personnel spend on a variety of activities. We used a portable random reminder beeper to measure the daily work activities and contacts of study nurses within the context of a multi-site randomized trial designed to assess the effectiveness of primary care. Nurses recorded 4920 work activities over 140 consecutive workdays. Research-related activities consumed the largest proportion of the workday, 42.5% (95% CI, 38.1-46.7) followed by patient care, 28.8% (24.1-33.2), personal time 16.4% (12.0-20.7), and time spent in transit 12.5% (9.1-15.9). Because this research-related time is spent performing tasks specific to the enrollment of patients and measurement of outcome variables, we will use an adjusted annual salary for these nurses (from $56,392-$32,425) when attributing costs of the intervention in cost-effectiveness analyses and for future management projections. Work sampling is a flexible, inexpensive method that was well accepted by the nurses in this study. Our results provide important insights into the costs analysis of complex interventions involving health professionals and may allow us to explore why the intervention worked or did not work at individual sites.

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Year:  1995        PMID: 7775988     DOI: 10.1016/0895-4356(94)00229-j

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  5 in total

1.  Economic Analysis of Primary Care-Based Physical Activity Counseling in Older Men: The VA-LIFE Trial.

Authors:  Patricia A Cowper; Matthew J Peterson; Carl F Pieper; Richard J Sloane; Katherine S Hall; Eleanor S McConnell; Hayden B Bosworth; Carola C Ekelund; Megan P Pearson; Miriam C Morey
Journal:  J Am Geriatr Soc       Date:  2017-02-02       Impact factor: 5.562

2.  Classifying general medicine readmissions. Are they preventable? Veterans Affairs Cooperative Studies in Health Services Group on Primary Care and Hospital Readmissions.

Authors:  E Z Oddone; M Weinberger; M Horner; C Mengel; F Goldstein; P Ginier; D Smith; J Huey; N J Farber; D A Asch; L Loo; E Mack; A G Hurder; W Henderson; J R Feussner
Journal:  J Gen Intern Med       Date:  1996-10       Impact factor: 5.128

3.  Assessing the precision of a time-sampling-based study among GPs: balancing sample size and measurement frequency.

Authors:  Daniël van Hassel; Lud van der Velden; Dinny de Bakker; Lucas van der Hoek; Ronald Batenburg
Journal:  Hum Resour Health       Date:  2017-12-04

4.  SMS text messaging to measure working time: the design of a time use study among general practitioners.

Authors:  Daniël van Hassel; Lud van der Velden; Dinny de Bakker; Ronald Batenburg
Journal:  BMC Health Serv Res       Date:  2018-02-20       Impact factor: 2.655

5.  Working with Patients and Members of the Public: Informing Health Economics in Child Health Research.

Authors:  Rebecca Kandiyali; Annie Hawton; Christie Cabral; Julie Mytton; Valerie Shilling; Christopher Morris; Jenny Ingram
Journal:  Pharmacoecon Open       Date:  2019-06
  5 in total

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