Communication Among Team Members Within the Patient-centered Medical Home and Patient Satisfaction With Providers

Stockdale, Susan; Rose, Danielle E.; Darling, Jill; Meredith, Lisa S.; Helfrich, Christian D.; Dresselhaus, Timothy R.; Roos, Philip; Rubenstein, Lisa V.

doi:10.1097/mlr.0000000000000914

Cited by 24 publications

(17 citation statements)

References 29 publications

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“…Nine studies used other instruments that reflect different conceptual approaches from the EBPAS and from one another. For example, Stockdale et al [ 50 ] examined attitudes using the Emotional Exhaustion subscale of the Maslach Burnout Inventory, which asks participants to “indicate how frequently you experience each feeling or attitude” referenced by nine statements, including “I feel I’m at the end of my rope” and “I feel I’m working too hard on my job.” Edmunds et al [ 51 ] report using another study’s unpublished “Clinician Demographics and Attitudes Questionnaire” in addition to the EBPAS, and it is not clear how these two approaches to measuring attitudes were reconciled. Beets et al [ 52 ] adapted items based on Dane and Schneider’s [ 53 ] “assessment of quality of delivery.”…”

Section: Resultsmentioning

confidence: 99%

Attitude theory and measurement in implementation science: a secondary review of empirical studies and opportunities for advancement

2021

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Background Implementation science studies often express interest in “attitudes,” a term borrowed from psychology. In psychology, attitude research has an established methodological and theoretical base, which we briefly summarize here. We then review implementation studies designed to measure attitudes and compare their definitions and methods with those from psychology. Methods A recent review identified 46 studies empirically examining factors associated with implementation. For each of these studies, we evaluated whether authors included attitudes as a construct of interest, and if so, whether and how the construct was defined, measured, and analyzed. Results Most of the articles (29/46 [63%]) mention attitudes as an implementation factor. Six articles include a definition of the construct. Nineteen studies were designed to measure attitudes but lacked clarity in describing how attitudes were measured. Those that explained their measurement approach used methods that differed from one another and from validated methods in social psychology. Few articles described associated analyses or provided results specific to attitudes. Despite the lack of specificity regarding relevant measurement, analysis, and results, the articles often included causal conclusions about the role of attitudes. Conclusions Attitudes may be an important construct to implementation scientists, but studies to date are ambiguous in their definitions of attitudes and inconsistent in the methods used to measure and analyze attitudes. We discuss how implementation studies can apply psychology’s standardized definitions, validated measurement approaches, and causal models that include attitudes. This application of attitude theory and methods could offer implementation research valuable scientific opportunities.

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Section: Resultsmentioning

confidence: 99%

Attitude theory and measurement in implementation science: a secondary review of empirical studies and opportunities for advancement

2021

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“…Data review is one of the critical factors that leads to practice success in health system redesign and contributes to cost savings. 4,[10][11][12] Larger practices are more likely to have personnel dedicated to data generation and interpretation, whereas smaller practices are most likely to lack resources to review, interpret, and act on data that are mailed or placed on web servers for use. 13 For effective engagement and action by practices, use of practice transformation tools to engage practices in quick reviews of actionable data is critical.…”

Section: Discussionmentioning

confidence: 99%

Practice Transformation Analytics Dashboard for Clinician Engagement

et al. 2019

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PURPOSE Practice transformation in primary care is a movement toward datadriven redesign of care, patient-centered care delivery, and practitioner activation. A critical requirement for achieving practice transformation is availability of tools to engage practices. METHODS A total of 48 practices with 109 practice sites participate in the Garden Practice Transformation Network in Maryland (GPTN-Maryland) to work together toward practice transformation and readiness for the Quality Payment Program implemented by the Centers for Medicare & Medicaid Services. Practice-specific data are collected in GPTN-Maryland by practices themselves and by practice transformation coaches, and are provided by the Centers for Medicare & Medicaid Services. These data are overwhelming to practices when presented piecemeal or together, a barrier to practices taking action to ensure progress on the transformation spectrum. The GPTN-Maryland team therefore created a practice transformation analytics dashboard as a tool to present data that are actionable in care redesign. RESULTS When practices reviewed their data provided by the Centers for Medicare & Medicaid Services using the dashboard, they were often seeing, for the first time, cost data on their patients, trends in their key performance indicator data, and their practice transformation phase. Overall, 72% of practices found the dashboard engaging, and 48% found the data as presented to be actionable. CONCLUSIONS The practice transformation analytics dashboard encourages practices to advance in practice transformation and improvement of patient care delivery. This tool engaged practices in discussions about data, care redesign, and costs of care, and about how to develop sustainable change within their practices. Research is needed to study the impact of the dashboard on costs and quality of care delivery.

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“…Indeed, evidence indicates that there are strong positive relationships between a healthcare team communication with the patient and patient satisfaction, adherence to treatment plan, and improved health outcomes. [22][23][24] Our findings have a significant implication on how providers should manage diabetic patients, particularly those with complications, disabilities, and coexisting chronic conditions. The current structure of care focuses narrowly on measures with a minimal impact on the overall wellbeing of patients with a diverse combination of chronic diseases.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Association Between the Rate of Diabetes and Quality of Patient Care in Home Health Agencies

Zikos

Ogunneye

DeLellis

et al. 2018

Home Health Care Management & Practice

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The multitude of comorbidities and disabilities that are prevalent among diabetic patients make their care very challenging for providers. This, in turn, may have a negative effect on measures of patient satisfaction, quality, and outcomes. This study examines the correlation between diabetes ratio as a primary diagnosis in home health agencies (HHAs) with the Home Health Care Consumer Assessment of Healthcare Providers and Systems (HHCAHPS) survey and the Outcome and Assessment Information Set (OASIS) star ratings. Our result indicates that HHAs with a higher proportion of patients with diabetes have lower ratings in health outcomes (bathing, breathing, moving from the bed, moving around, and controlling pain). The association was stronger in the case of diabetic cases with complications.

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Communication Among Team Members Within the Patient-centered Medical Home and Patient Satisfaction With Providers

Cited by 24 publications

References 29 publications

Attitude theory and measurement in implementation science: a secondary review of empirical studies and opportunities for advancement

Attitude theory and measurement in implementation science: a secondary review of empirical studies and opportunities for advancement

Practice Transformation Analytics Dashboard for Clinician Engagement

Association Between the Rate of Diabetes and Quality of Patient Care in Home Health Agencies

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