Evidence map›Paper›PMID 31222574›Full record

ArticleClinical rheumatology2019

Factors influencing implementation of a computerized, individualized, culturally tailored lupus decision aid in lupus clinics: a qualitative semi-structured interview study.

Haiyan Qu, Xuejun Hu, Jasvinder A Singh

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Article in Clinical rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Observational
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  5. Article
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

3 authors.

Haiyan QuDepartment of Health Services Administration, School of Health Professions, University of Alabama at Birmingham, SHPB 580D, 1716 9th Avenue, South Birmingham, AL, 35294-1212, USA.
Xuejun HuDepartment of Health Services Administration, School of Health Professions, University of Alabama at Birmingham, SHPB 580D, 1716 9th Avenue, South Birmingham, AL, 35294-1212, USA.
Jasvinder A SinghDivision of Clinical Immunology and Rheumatology, School of Medicine, University of Alabama at Birmingham, 510 20th Street, South Faculty Office Tower 805B, Birmingham, AL, 35294, USA. jasvinder.md@gmail.com.ORCID http://orcid.org/0000-0003-3485-0006

Funding

resources and the use of facilities at the VA Medical Center at Birmingham, Alabama, USA No number
6 · The paper itself

Abstract

objectiveTo identify factors that might facilitate or impede the implementation of a shared decision-making in lupus electronic tool (SMILE) in clinics by assessing perspectives of clinicians, clinic champions, and patient advocacy organization leaders.

methodsWe conducted a series of semi-structured telephone interviews (25-45 minutes) about facilitators and barriers of implementing the SMILE decision-aid tool with 23 lupus care providers (18 physicians, 5 champions), and leaders of two patient advocacy organizations. Interviews were audio recorded, transcribed, coded, and analyzed.

resultsPhysicians and clinic champions were from 18 geographically diverse US clinics. The patient advocacy leaders were from the Lupus Foundation of America and the Arthritis Foundation. Most of the clinics were rheumatology specialty (94%), at university-based academic centers (72%), located in urban areas (72%), had a specialized lupus clinic (72%), were very interested (72%) in the SMILE tool and were ready to implement it (89%). Several specific factors, composed as four themes, were identified that could either facilitate or impede the implementation of the SMILE tool: (1) patient-related theme: patient recruitment and education, and the clinic visit time; (2) clinic-related theme: staff work-load and time, and physical space to view and use the SMILE tool; (3) technology-related theme: Wi-Fi connection and iPad navigation; and (4) management-related theme: influence on the clinics' daily workflow, the need of a study champion and coordination, and leadership support.

conclusionPhysicians, staff, and patient advocacy leaders perceived the SMILE as a promising tool to facilitate patient-provider communication and quality improvement in lupus. Identification of the patient-, clinic-, technology-, and management-related barriers to the SMILE implementation will allow its integration into busy clinical practice workflow. Key Points • Physicians, staff and patient advocacy leaders perceived computerized lupus decision aid to be a promising tool to facilitate shared decision-making for lupus treatment. • Stakeholder identified patient-related, clinic-resource-related, technology-related and clinic-management related themes as barriers or facilitators to viewing computerized lupus decision aid during regular clinic visits.

Indexed as

Culturally Competent CareDecision Support Systems, ClinicalDecision Support TechniquesAttitude of Health PersonnelCommunicationDecision MakingFemaleHumansLeadershipLupus Erythematosus, SystemicMaleNursesPatient AdvocacyPatient Education as TopicPatient ParticipationPhysiciansBarriersDecision aidDecision aidsDecision toolFacilitatorsKidney diseaseLupusLupus nephritisQualitative researchShared decision-makingShared decision-making in lupus electronic toolSLE

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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.