Dataset Information

Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals.

ABSTRACT: Patient-generated data can allow patients and providers to collaboratively develop accurate diagnoses and actionable treatment plans. Unfortunately, patients and providers often lack effective support to make use of such data. We examine patient-provider collaboration to interpret patient-generated data. We focus on irritable bowel syndrome (IBS), a chronic illness in which particular foods can exacerbate symptoms. IBS management often requires patient-provider collaboration using a patient's food and symptom journal to identify the patient's triggers. We contribute interactive visualizations to support exploration of such journals, as well as an examination of patient-provider collaboration in interpreting the journals. Drawing upon individual and collaborative interviews with patients and providers, we find that collaborative review helps improve data comprehension and build mutual trust. We also find a desire to use tools like our interactive visualizations within and beyond clinic appointments. We discuss these findings and present guidance for the design of future tools.

SUBMITTER: Schroeder J

PROVIDER: S-EPMC5432206 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals.

Schroeder Jessica J Hoffswell Jane J Chung Chia-Fang CF Fogarty James J Munson Sean S Zia Jasmine J

CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work 20170201

Patient-generated data can allow patients and providers to collaboratively develop accurate diagnoses and actionable treatment plans. Unfortunately, patients and providers often lack effective support to make use of such data. We examine patient-provider collaboration to interpret patient-generated data. We focus on irritable bowel syndrome (IBS), a chronic illness in which particular foods can exacerbate symptoms. IBS management often requires patient-provider collaboration using a patient's fo ...[more]

PMID: 28516172

Similar Datasets

Project description:BackgroundThere is a natural assumption that quality and efficiency are optimized when providers consistently work together and share patients. Diversity in composition and recurrence of groups that provide face-to-face care to the same patients has not previously been studied.ObjectiveClaims data enable identification of the constellation of providers caring for a single patient. To indirectly measure teamwork and provider collaboration, we measure recurrence of provider constellations and cohesion among providers.DesignRetrospective analysis of commercial healthcare claims from a single insurer.ParticipantsPatients with claims for office visits and their outpatient providers. To maximize capture of provider panels, the cohort was drawn from the four regions with the highest plan coverage. Regional outpatient provider networks were constructed with providers as nodes and number of shared patients as links.Main measuresMeasures of cohesion and stability of provider constellations derived from the networks of providers to quantify patient sharing.ResultsFor 10,325 providers and their 521,145 patients, there were 2,641,933 collaborative provider pairs sharing at least one patient. Fifty-four percent only shared a single patient, and 19 % shared two. Of 15,449,835 unique collaborative triads, 92 % shared one patient, 5 % shared two, and 0.2 % shared ten or more. Patient constellations had a median of four providers. Any precise constellation recurred rarely-89 % with exactly two providers shared just one patient and only 4 % shared over two; 97 % of constellations with exactly three providers shared just one patient. Four percent of constellations with 2+ providers were not at all cohesive, sharing only the hub patient. In the remaining constellations, a median of 93 % of provider pairs shared at least one additional patient beyond the hub patient.ConclusionStunning variability in the constellations of providers caring for patients may challenge underlying assumptions about the current state of teamwork in healthcare.

Project description:BackgroundThe purpose of clinical trials of acupuncture is to help clinicians and patients make decisions about treatment. Yet this is not straightforward: some trials report acupuncture to be superior to sham (placebo) acupuncture while others show evidence that acupuncture is superior to usual care but not sham, and still others conclude that acupuncture is no better than usual care. Meta-analyses of these trials tend to come to somewhat indeterminate conclusions. This appears to be because, until recently, acupuncture research was dominated by small trials of questionable quality. The Acupuncture Trialists' Collaboration, a group of trialists, statisticians and other researchers, was established to synthesize patient-level data from several recently published large, high-quality trials.MethodsThere are three distinct phases to the Acupuncture Trialists Collaboration: a systematic review to identify eligible studies; collation and harmonization of raw data; statistical analysis. To be eligible, trials must have unambiguous allocation concealment. Eligible pain conditions are osteoarthritis; chronic headache (tension or migraine headache); shoulder pain; and non-specific back or neck pain. Once received, patient-level data will undergo quality checks and the results of prior publications will be replicated. The primary analysis will be to determine the effect size of acupuncture. Each trial will be evaluated by analysis of covariance with the principal endpoint as the dependent variable and, as covariates, the baseline score for the principal endpoint and the variables used to stratify randomization. The effect size for acupuncture from each trial--that is, the coefficient and standard error from the analysis of covariance--will then be entered into a meta-analysis. We will compute effect sizes separately for comparisons of acupuncture with sham acupuncture, and acupuncture with no acupuncture control for each pain condition. Other analyses will investigate the impact of different sham techniques, styles of acupuncture or frequency and duration of treatment sessions.DiscussionIndividual patient data meta-analysis of high-quality trials will provide the most reliable basis for treatment decisions about acupuncture. Above all, however, we hope that our approach can serve as a model for future studies in acupuncture and other complementary therapies.

Project description:BackgroundEfforts to reduce opioid overdose fatalities have resulted in tapering (i.e., reducing or discontinuing) opioid prescriptions despite a limited understanding of patients' experiences.ObjectiveTo explore patients' perspectives on opioid taper experiences to ultimately improve taper processes and outcomes.DesignQualitative study.ParticipantsPatients on long-term opioid therapy for chronic pain who had undergone a reduction of opioid daily prescribed dosage of ≥50% in the past 2 years in two distinct medical systems and regions.ApproachFrom 2019 to 2020, we conducted semi-structured interviews that were audio-recorded, transcribed, systematically coded, and analyzed to summarize the content and identify key themes regarding taper experiences overall and with particular attention to patient-provider relationships and provider communication during tapers.Key resultsParticipants (n=41) had lived with chronic pain for an average of 17.4 years (range, 3-36 years) and described generally adverse experiences with opioid tapers, the initiation of which was not always adequately justified or explained to them. Consequences of tapers ranged from minor to substantial and included withdrawal, mobility issues, emotional distress, exacerbated mental health symptoms, and feelings of social stigmatization for which adequate supports were typically unavailable. Narratives highlighted the consequential role of patient-provider relationships throughout taper experiences, with most participants describing significant interpersonal challenges including poor provider communication and limited patient engagement in decision making. A few participants identified qualities of providers, relationships, and communication that fostered more positive taper experiences and outcomes.ConclusionsFrom patients' perspectives, opioid tapers can produce significant physical, emotional, and social consequences, sometimes reducing trust and engagement in healthcare. Patient-provider relationships and communication influence patients' perceptions of the quality and outcomes of opioid tapers. To improve patients' experiences of opioid tapers, tapering plans should be based on individualized risk-benefit assessments and involve patient-centered approaches and improved provider communication.

Dataset Information

Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals.

Publications

Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets