Evidence map›Paper›PMID 31573946›Full record

ArticleJMIR medical informatics2019

Design Process and Utilization of a Novel Clinical Decision Support System for Neuropathic Pain in Primary Care: Mixed Methods Observational Study.

Dale Guenter, Mohamed Abouzahra, Inge Schabort, Arun Radhakrishnan, Kalpana Nair, Sherrie Orr, Jessica Langevin, Paul Taenzer, Dwight E Moulin

Abstract read
In one paragraph

Article in JMIR medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Optimizing the design and implementation of question prompt lists to support person-centred care: A scoping review.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
  7. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Dale GuenterDepartment of Family Medicine, McMaster University, Hamilton, ON, Canada.ORCID https://orcid.org/0000-0002-9915-1911
Mohamed AbouzahraCollege of Business, California State University, Seaside, CA, United States.ORCID https://orcid.org/0000-0002-9784-5952
Inge SchabortDepartment of Family Medicine, McMaster University, Hamilton, ON, Canada.ORCID https://orcid.org/0000-0002-7937-865X
Arun RadhakrishnanDepartment of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-1181-7019
Kalpana NairSchool of Nursing, McMaster University, Hamilton, ON, Canada.ORCID https://orcid.org/0000-0002-2763-3196
Sherrie OrrDepartment of Family Medicine, McMaster University, Hamilton, ON, Canada.ORCID https://orcid.org/0000-0003-1280-7357
Jessica LangevinDepartment of Family Medicine, McMaster University, Hamilton, ON, Canada.ORCID https://orcid.org/0000-0002-6193-3459
Paul TaenzerDepartment of Physical Medicine and Rehabilitation, Queen's University, Kingston, ON, Canada.ORCID https://orcid.org/0000-0001-9127-6237
Dwight E MoulinDepartment of Clinical Neurological Sciences, Western University, London, ON, Canada.ORCID https://orcid.org/0000-0001-9902-2418

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputerized clinical decision support systems (CDSSs) have emerged as an approach to improve compliance of clinicians with clinical practice guidelines (CPGs). Research utilizing CDSS has primarily been conducted in clinical contexts with clear diagnostic criteria such as diabetes and cardiovascular diseases. In contrast, research on CDSS for pain management and more specifically neuropathic pain has been limited. A CDSS for neuropathic pain has the potential to enhance patient care as the challenge of diagnosing and treating neuropathic pain often leads to tension in clinician-patient relationships.

objectiveThe aim of this study was to design and evaluate a CDSS aimed at improving the adherence of interprofessional primary care clinicians to CPG for managing neuropathic pain.

methodsRecommendations from the Canadian CPGs informed the decision pathways. The development of the CDSS format and function involved participation of multiple stakeholders and end users in needs assessment and usability testing. Clinicians, including family medicine physicians, residents, and nurse practitioners, in three academic teaching clinics were trained in the use of the CDSS. Evaluation over one year included the measurement of utilization of the CDSS; change in reported awareness, agreement, and adoption of CPG recommendations; and change in the observed adherence to CPG recommendations.

resultsThe usability testing of the CDSS was highly successful in the prototype environment. Deployment in the clinical setting was partially complete by the time of the study, with some limitations in the planned functionality. The study population had a high level of awareness, agreement, and adoption of guideline recommendations before implementation of CDSS. Nevertheless, there was a small and statistically significant improvement in the mean awareness and adoption scores over the year of observation (P=.01 for mean awareness scores at 6 and 12 months compared with baseline, for mean adoption scores at 6 months compared with baseline, and for mean adoption scores at 12 months). Documenting significant findings related to diagnosis of neuropathic pain increased significantly. Clinicians accessed CPG information more frequently than they utilized data entry functions. Nurse practitioners and first year family medicine trainees had higher utilization than physicians.

conclusionsWe observed a small increase in the adherence to CPG recommendations for managing neuropathic pain. Clinicians utilized the CDSS more as a source of knowledge and as a training tool than as an ongoing dynamic decision support.

Indexed as

computerizedmedical informaticsmedical records systemspain managementquality of health care

Identifiers

PMID31573946
PMCPMC6792030

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.