ArticleHealth services research2016
Office-Based Tools and Primary Care Visit Communication, Length, and Preventive Service Delivery.
Article in Health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 25 citations in OpenAlex.
- Developing a tool to facilitate person-centered care in a university hospital in collaboration with patients and healthcare professionals.BMC health services research · 2026Article
- Digital Age Transformation in Patient-Physician Communication: 25-Year Narrative Review (1999-2023).Journal of medical Internet research · 2025Review
- Differences in Use of Clinical Decision Support Tools and Implementation of Aspirin, Blood Pressure Control, Cholesterol Management, and Smoking Cessation Quality Metrics in Small Practices by Race and Sex.JAMA network open · 2023Article
- "Mm-hm," "Uh-uh": are non-lexical conversational sounds deal breakers for the ambient clinical documentation technology?Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Workload and workflow implications associated with the use of electronic clinical decision support tools used by health professionals in general practice: a scoping review.BMC primary care · 2023Article
- Automatic speech recognition performance for digital scribes: a performance comparison between general-purpose and specialized models tuned for patient-clinician conversations.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Facilitators and Barriers to Implementing a Digital Informed Decision Making Tool in Primary Care: A Qualitative Study.Applied clinical informatics · 2022Article
- Patient perspectives on health care provider practices leading to an axial spondyloarthritis diagnosis: an exploratory qualitative research study.BMC family practice · 2021Article
- Cardiovascular Risk Factors and Provision of Lifestyle Counseling for Diabetes or Prediabetes With Comorbid Obesity: Analysis of Office-Based Physician Visits Made by Patients 20 Years of Age or Older.Diabetes spectrum : a publication of the American Diabetes Association · 2019Article
- Parent-Provider Communication of HPV Vaccine Hesitancy.Pediatrics · 2018Article
- Patient-centered communication in digital medical encounters.Patient education and counseling · 2017Article
- A Survey of the Literature on Unintended Consequences Associated with Health Information Technology: 2014-2015.Yearbook of medical informatics · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe use of physician office-based tools such as electronic health records (EHRs), health risk appraisal (HRA) instruments, and written patient reminder lists is encouraged to support efficient, high-quality, patient-centered care. We evaluate the association of exam room use of EHRs, HRA instruments, and self-generated written patient reminder lists with patient-physician communication behaviors, recommended preventive health service delivery, and visit length. RESEARCH
methodsObservational study of 485 office visits with 64 primary care physicians practicing in a health system serving the Detroit metropolitan area. Study data were obtained from patient surveys, direct observation, office visit audio-recordings, and automated health system records. Outcome measures included visit length in minutes, patient use of active communication behaviors, physician use of supportive talk and partnership-building communication behaviors, and percentage of delivered guideline-recommended preventive health services for which patients are eligible and due. Simultaneous linear regression models were used to evaluate associations between tool use and outcomes. Adjusted models controlled for patient characteristics, physician characteristics, characteristics of the relationship between the patient and physician, and characteristics of the environment in which the visit took place.
resultsPrior to adjusting for other factors, visits in which the EHR was used on average were significantly (p < .05) longer (27.6 vs. 23.8 minutes) and contained fewer preventive services for which patients were eligible and due (56.5 percent vs. 62.7 percent) compared to those without EHR use. Patient written reminder lists were also significantly associated with longer visits (30.0 vs. 26.5 minutes), and less use of physician communication behaviors facilitating patient involvement (2.1 vs. 2.6 occurrences), but more use of active patient communication behaviors (4.4 vs. 2.6). Likewise, HRA use was significantly associated with increased preventive services delivery (62.1 percent vs. 57.0 percent). All relationships remained significant (p > .05) in adjusted models with the exception of that between HRA use and preventive service delivery. DISSEMINATION AND IMPLEMENTATION IMPLICATIONS: Office-based tools intended to facilitate the implementation of desired primary care practice redesign are associated with both positive and negative cost and quality outcomes. Findings highlight the need for monitoring both intended and unintended consequences of office-based tools commonly used in primary care practice redesign.
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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.