ArticleQuality & safety in health care2010
What happens between visits? Adverse and potential adverse events among a low-income, urban, ambulatory population with diabetes.
Article in Quality & safety in health care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
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Who cites it
12 citing papers in PubMed.
- A Spanish pillbox app for elderly patients taking multiple medications: randomized controlled trial.Journal of medical Internet research · 2014Trial
- Safety events during an automated telephone self-management support intervention.Journal of diabetes science and technology · 2013Trial
- Quasi-experimental trial of diabetes Self-Management Automated and Real-Time Telephonic Support (SMARTSteps) in a Medicaid managed care plan: study protocol.BMC health services research · 2012Trial
- Diabetes health information technology innovation to improve quality of life for health plan members in urban safety net.The Journal of ambulatory care managementTrial
- Patient safety in marginalised groups: a narrative scoping review.International journal for equity in health · 2020Article
- Timely Interventions for Children with ADHD through Web-Based Monitoring Algorithms.Diseases (Basel, Switzerland) · 2019Article
- Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims.BMC health services research · 2018Article
- Developing a Shared Patient-Centered, Web-Based Medication Platform for Type 2 Diabetes Patients and Their Health Care Providers: Qualitative Study on User Requirements.Journal of medical Internet research · 2018Article
- Article
- Nutrient- and non-nutrient-based natural health product (NHP) use in adults with mood disorders: prevalence, characteristics and potential for exposure to adverse events.BMC complementary and alternative medicine · 2013Article
- Signal and noise: applying a laboratory trigger tool to identify adverse drug events among primary care patients.BMJ quality & safety · 2012Article
- Adverse drug events in U.S. adult ambulatory medical care.Health services research · 2011Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundLittle is known about adverse events (AEs) that occur between physician visits for ambulatory chronic disease patients. An automated telephone self-management support programme for a diverse population of diabetes patients was implemented to capture AEs, describe the self-management domains from which they emanate and explore contributing causes.
methodsAEs and potential AEs (PotAEs) were identified among 111 ethnically diverse diabetes patients. An AE is an injury that results from either medical management or patient self-management; a PotAE is an unsafe state likely to lead to an event if it persists without intervention. Medical record reviews were conducted to ascertain which self-management domain was involved with the event and to explore contributing causes.
resultsAmong the 111 patients, 86% had at least one event detected over the 9-month observation period. 111 AEs and 153 PotAEs were identified. For all events, medication management was the most common domain (166 events, 63%). Only 20% of events reflected a single contributing cause; in the remaining 80%, a combination of system, clinician and patient factors contributed to their occurrence. Patient actions were implicated in 205 (77%) events, systems issues in 183 (69%) events and inadequate physician-patient communication in 155 (59%) events. Aside from communication, primary care clinician actions contributed to the occurrence of the event in only 16 cases (6%).
conclusionsOur findings reveal a complex safety ecology, with multiple contributing causes for AEs and PotAEs among ambulatory diabetes patients. Moreover, patients themselves seem to be key drivers of safety and of AEs, suggesting that patient-level self-management support and patient-centred communication are critical to AE prevention.
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