Literature DB >> 28850380

COMBAT study - Computer based assessment and treatment - A clinical trial evaluating impact of a computerized clinical decision support tool on pain in cancer patients.

Sunil X Raj1, Cinzia Brunelli2, Pål Klepstad3, Stein Kaasa4.   

Abstract

BACKGROUND AND AIMS: The prevalence of pain in cancer patients are relatively high and indicate inadequate pain management strategies. Therefore, it is necessary to develop new methods and to improve implementation of guidelines to assess and treat pain. The vast improvement in information technology facilitated development of a computerized symptom assessment and decision support system (CCDS) - the Combat system - which was implemented in an outpatient cancer clinic to evaluate improvement in pain management.
METHODS: We conducted a controlled before-and-after study between patient cohorts in two consecutive study periods: before (n=80) and after (n=134) implementation of the Combat system. Patients in the first cohort completed questionnaires with the paper-and-pencil method and this data was not shown to physicians. Patients in the latter cohort completed an electronic questionnaire by using an iPad and the data were automatically transferred and presented to physicians at point of care. Additionally, the system provided computerized decision support at point of care for the physician based on the electronic questionnaires completed by the patients, an electronic CRF completed by physicians and clinical guidelines.
RESULTS: The Combat system did not improve pain intensity and there were no significant alterations in the prescribed dose of opiates compared to the cohort of patients managed without the Combat system.
CONCLUSION: The Combat system did not improve pain management. This may be explained by several factors, however, we consider lack of proper implementation of the CCDS in the clinic to be the most important factor. As a result, we did not manage to change the behaviour of the physicians in the clinic. IMPLICATIONS: There is a need to conduct larger prospective studies to evaluate the efficacy of modern information technology to improve pain management in cancer patients. Before introducing new information technology in the clinics, it is important to have a well thought out implementation strategy. The trial is registered at Clinialtrials.gov, number NCT01795157.
Copyright © 2017 Scandinavian Association for the Study of Pain. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CCDS; Cancer outpatients; Computer; Decision support; Pain

Mesh:

Year:  2017        PMID: 28850380     DOI: 10.1016/j.sjpain.2017.07.016

Source DB:  PubMed          Journal:  Scand J Pain        ISSN: 1877-8860


  5 in total

1.  An in-hospital clinical care pathway with integrated decision support for cancer pain management reduced pain intensity and needs for hospital stay.

Authors:  Erik Torbjørn Løhre; Morten Thronæs; Cinzia Brunelli; Stein Kaasa; Pål Klepstad
Journal:  Support Care Cancer       Date:  2019-05-23       Impact factor: 3.603

2.  Clinical decision support for therapeutic decision-making in cancer: A systematic review.

Authors:  Melissa Beauchemin; Meghan T Murray; Lillian Sung; Dawn L Hershman; Chunhua Weng; Rebecca Schnall
Journal:  Int J Med Inform       Date:  2019-08-12       Impact factor: 4.046

3.  Effectiveness of guideline dissemination and implementation strategies on health care professionals' behaviour and patient outcomes in the cancer care context: a systematic review.

Authors:  Jennifer R Tomasone; Kaitlyn D Kauffeldt; Rushil Chaudhary; Melissa C Brouwers
Journal:  Implement Sci       Date:  2020-06-03       Impact factor: 7.327

Review 4.  Benefits of Mobile Apps in Pain Management: Systematic Review.

Authors:  Simon E Thurnheer; Isaac Gravestock; Giuseppe Pichierri; Johann Steurer; Jakob M Burgstaller
Journal:  JMIR Mhealth Uhealth       Date:  2018-10-22       Impact factor: 4.773

5.  Interventions and symptom relief in hospital palliative cancer care: results from a prospective longitudinal study.

Authors:  Morten Thronæs; Erik Torbjørn Løhre; Anne Kvikstad; Elisabeth Brenne; Robin Norvaag; Kathrine Otelie Aalberg; Martine Kjølberg Moen; Gunnhild Jakobsen; Pål Klepstad; Arne Solberg; Tora Skeidsvoll Solheim
Journal:  Support Care Cancer       Date:  2021-05-03       Impact factor: 3.603

  5 in total

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