ArticlePrimary care diabetes2017
Primary care visit preparation and communication for patients with poorly controlled diabetes: A qualitative study of patients and physicians.
Article in Primary care diabetes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02375932 (Pre-Visit Prioritization for Complex Primary Care Patients With Diabetes), which is not on this map. Cited by 18 papers, 2 of them syntheses that pooled 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.
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.
Pre-Visit Prioritization for Complex Primary Care Patients With Diabetes
Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Patient engagement in perioperative settings: A mixed method systematic review.Journal of clinical nursing · 2023Pooled it
- Applied techniques for putting pre-visit planning in clinical practice to empower patient-centered care in the pandemic era: a systematic review and framework suggestion.BMC health services research · 2021Pooled it
- Asynchronous Versus Synchronous Screening for Depression and Suicidality in a Primary Health Care System: Quality Improvement Study.JMIR mental health · 2024Article
- "You Can See the Connections": Facilitating Visualization of Care Priorities in People Living with Multiple Chronic Health Conditions.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2023Article
- Patient involvement in the encounter between general practice and patients with a chronic disease. Results of a scoping review focusing on type 2 diabetes and obstructive pulmonary disease.The European journal of general practice · 2022Article
- Promoting High-Quality Health Communication Between Young Adults With Diabetes and Health Care Providers.Diabetes spectrum : a publication of the American Diabetes Association · 2021Article
- Before-Visit Questionnaire: A Tool to Augment Communication and Decrease Provider Documentation Burden in Pediatric Diabetes.Applied clinical informatics · 2021Article
- Supporting collaborative reflection on personal values and health.Proceedings of the ACM on human-computer interaction · 2021Article
- Psychometric evaluation of a patient-reported item bank for healthcare engagement.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021Article
- Visit Content Analysis: Doctor-Patient Communication in Patients with Type 2 Diabetes.The Permanente journal · 2021Article
- I am ready to see you now, Doctor! A mixed-method study of the Let's Discuss Health website implementation in Primary Care.Health expectations : an international journal of public participation in health care and health policy · 2021Article
- Article
- Diabetes management mediating effects between diabetes symptoms and health-related quality of life in adolescents and young adults with type 1 diabetes.Pediatric diabetes · 2018Article
- Frequently asked questions of individuals with spinal cord injuries: results of a web-based consultation service in Iran.Spinal cord series and cases · 2018Article
- Creating Conditions for Patients' Values to Emerge in Clinical Conversations: Perspectives of Health Care Team Members.DIS. Designing Interactive Systems (Conference) · 2017Article
- Eliciting Values of Patients with Multiple Chronic Conditions: Evaluation of a Patient-centered Framework.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Technology-Enabled and Artificial Intelligence Support for Pre-Visit Planning in Ambulatory Care: Findings From an Environmental Scan.Annals of family medicineArticle
- 'The Hand on the Doorknob': Visit Agenda Setting by Complex Patients and Their Primary Care Physicians.Journal of the American Board of Family Medicine : JABFMArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveThe purpose of this study was to examine how patients with diabetes and their primary care physicians identify and discuss visit priorities prior to and during visits.
methodsWe conducted a qualitative study involving patients with diabetes (4 focus groups, n=29) and primary care physicians (6 provider practice meeting discussions, n=67).
resultsFour key themes related to prioritization were identified: 1) the value of identifying visit priorities before the visit; 2) challenges to negotiating priorities during the time-limited visit; 3) the importance of "non-medical" priorities; and 4) the need for strategies to help patients prepare for visits. Both patients and physicians felt that identifying a concise list of key priorities in advance of the visit could help establish collaborative visit agendas and treatment plans.
conclusionsIdentifying and communicating mutually agreed upon priorities for discussion is a key challenge for time-limited primary care visits. PRACTICE IMPLICATIONS: Communication between primary care physicians and their patients with diabetes could be improved by strategies that help patients identify their top visit priorities before the visit.
Indexed as
Identifiers
What OpenQuestion holds
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.