ArticleJAMIA open2021
Workflow analysis for design of an electronic health record-based tobacco cessation intervention in community health centers.
Article in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07073898 (Population Health Management Approaches to Increase Lung Cancer Screening in Community Health Centers - UG3 Pilot Clinical Trial), which is not on this map. Cited by 10 papers.
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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.
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.
Population Health Management Approaches to Increase Lung Cancer Screening in Community Health Centers - UG3 Pilot Clinical Trial
Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Implementing an Evidence-Based Smoking Cessation Referral Tool Kit in a High-Risk Lung Cancer Screening Clinic.Clinical journal of oncology nursing · 2026Article
- Sociotechnical Adaptation of Telerehabilitation in Rehabilitation Practice: Survey Among Rehabilitation Professionals.JMIR rehabilitation and assistive technologies · 2025Article
- Expanding a Behavioral View on Digital Health Access: Drivers and Strategies to Promote Equity.Journal of medical Internet research · 2024Article
- Use of implementation mapping in the planning of a hybrid type 1 pragmatic clinical trial: the BeatPain Utah study.Implementation science communications · 2024Article
- Texas tobacco quitline knowledge, attitudes, and practices within healthcare agencies serving individuals with behavioral health needs: A multimethod study.Preventive medicine reports · 2023Article
- The implementation of ask-advise-connect in a federally qualified health center: a mixed methods evaluation using the re-aim framework.Translational behavioral medicine · 2023Article
- Analysis of user interactions with a digital health wallet for enabling care continuity in the context of an ongoing pandemic.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Electronic health record closed-loop referral ("eReferral") to a state tobacco quitline: a retrospective case study of primary care implementation challenges and adaptations.Implementation science communications · 2022Article
- Application of community - engaged dissemination and implementation science to improve health equity.Preventive medicine reports · 2021Article
- Impact of COVID-19 Pandemic on Assessing Tobacco Status in Community Health Centers.Annals of family medicineArticle
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 1 country.
Funding
Abstract
objectiveTobacco use is the leading cause of preventable morbidity and mortality in the United States. Quitlines are effective telephone-based tobacco cessation services but are underutilized. The goal of this project was to describe current clinical workflows for Quitline referral and design an optimal electronic health record (EHR)-based workflow for Ask-Advice-Connect (AAC), an evidence-based intervention to increase Quitline referrals. MATERIALS AND
methodsTen Community Health Center systems (CHC), which use three different EHRs, participated in this study. Methods included: 9 group discussions with CHC leaders; 33 observations/interviews of clinical teams' workflow; surveys with 57 clinical staff; and assessment of the EHR ecosystem in each CHC. Data across these methods were integrated and coded according to the Fit between Individual, Task, Technology and Environment (FITTE) framework. The current and optimal workflow were notated using Business Process Modelling Notation. We compared the requirements of the optimal workflow with EHR capabilities.
resultsCurrent workflows are inefficient in data collection, variable in who, how, and when tobacco cessation advice and referral are enacted, and lack communication between referring clinics and the Quitline. In the optimal workflow, medical assistants deliver a standardized AAC intervention during the visit intake. Referrals are submitted electronically, and there is bidirectional communication between the clinic and Quitline. We implemented AAC within all three EHRs; however, deviations from the optimal workflow were necessary.
conclusionCurrent workflows for Quitline referral are inefficient and ineffective. We propose an optimal workflow and discuss improvements in EHR capabilities that would improve the implementation of AAC.
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Registered trials
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.