Dataset Information

Pathways for primary care practice adoption of patient engagement strategies.

ABSTRACT:

Objective

To identify potential orderings of primary care practice adoption of patient engagement strategies overall and separately for interpersonally and technologically oriented strategies.

Data sources

We analyzed physician practice survey data (n = 71) on the adoption of 12 patient engagement strategies.

Study design

Mokken scale analysis was used to assess latent traits among the patient engagement strategies.

Data collection

Three groupings of patient engagement strategies were analyzed: (1) all 12 patient engagement strategies, (2) six interpersonally oriented strategies, and (3) six technologically oriented strategies.

Principal findings

We did not find scalability among all 12 patient engagement strategies, however, separately analyzing the subgroups of six interpersonally and six technologically oriented strategies demonstrated scalability (Loevinger's H coefficient of scalability [range]: interpersonal strategies, H = 0.54 [0.49-0.60], technological strategies, H = 0.42 [0.31, 0.54]). Ordered patterns emerged in the adoption of strategies for both interpersonal and technological types.

Conclusions

Common pathways of practice adoption of patient engagement strategies were identified. Implementing interpersonally intensive patient engagement strategies may require different physician practice capabilities than technological strategies. Rather than simultaneously adopting multiple patient engagement strategies, gradual and purposeful practice adoption may improve the impact of these strategies and support sustainability.

SUBMITTER: Miller-Rosales C

PROVIDER: S-EPMC9441284 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Publications

Pathways for primary care practice adoption of patient engagement strategies.

Miller-Rosales Chris C Miake-Lye Isomi M IM Brewster Amanda L AL Shortell Stephen M SM Rodriguez Hector P HP

Health services research 20220304 5

<h4>Objective</h4>To identify potential orderings of primary care practice adoption of patient engagement strategies overall and separately for interpersonally and technologically oriented strategies.<h4>Data sources</h4>We analyzed physician practice survey data (n = 71) on the adoption of 12 patient engagement strategies.<h4>Study design</h4>Mokken scale analysis was used to assess latent traits among the patient engagement strategies.<h4>Data collection</h4>Three groupings of patient engageme ...[more]

PMID: 35188976

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Project description:BackgroundPatient engagement strategies can equip patients with tools to navigate treatment decisions and improve patient-centered outcomes. Despite increased recognition about the importance of patient engagement, little is known about the extent of physician practice adoption of patient engagement strategies nationally.MethodsWe analyzed data collected from the National Survey of Healthcare Organizations and Systems (NSHOS) on physician practice adoption of patient engagement strategies. Stratified-cluster sampling was used to select physician practices operating under different organizational structures. Multivariable linear regression models estimated the association of practice ownership, health information technology functionality, use of screening activities, patient responsiveness, chronic care management processes, and the adoption of patient engagement strategies, including shared decision-making, motivational interviewing, and shared medical appointments. All regression models controlled for participation in payment reforms, practice size, Medicaid revenue percentage, and geographic region.ResultsWe found modest and varied adoption of patient engagement strategies by practices of different ownership types, with health system-owned practices having the lowest adoption of ownership types. Practice capabilities, including chronic care management processes, routine screening of medical and social risks, and patient care dissemination strategies were associated with greater practice-level adoption of patient engagement strategies.ConclusionsThis national study is the first to characterize the adoption of patient engagement strategies by US physician practices. We found modest adoption of shared decision-making and motivational interviewing, and low adoption of shared medical appointments. Risk-based payment reform has the potential to motivate greater practice-level patient engagement, but the extent to which it occurs may depend on internal practice capabilities.

Project description:BackgroundAn unprecedented shift to remote heart failure outpatient care occurred during the coronavirus disease 2019 (COVID-19) pandemic. Given challenges inherent to remote care, we studied whether remote visits (video or telephone) were associated with different patient usage, clinician practice patterns, and outcomes.MethodsWe included all ambulatory cardiology visits for heart failure at a multisite health system from April 1, 2019, to December 31, 2019 (pre-COVID) or April 1, 2020, to December 31, 2020 (COVID era), resulting in 10 591 pre-COVID in-person, 7775 COVID-era in-person, 1009 COVID-era video, and 2322 COVID-era telephone visits. We used multivariable logistic and Cox proportional hazards regressions with propensity weighting and patient clustering to study ordering practices and outcomes.ResultsCompared with in-person visits, video visits were used more often by younger (mean 64.7 years [SD 14.5] versus 74.2 [14.1]), male (68.3% versus 61.4%), and privately insured (45.9% versus 28.9%) individuals (P<0.05 for all). Remote visits were more frequently used by non-White patients (35.8% video, 37.0% telephone versus 33.2% in-person). During remote visits, clinicians were less likely to order diagnostic testing (odds ratio, 0.20 [0.18-0.22] video versus in-person, 0.18 [0.17-0.19] telephone versus in-person) or prescribe β-blockers (0.82 [0.68-0.99], 0.35 [0.26-0.47]), mineralocorticoid receptor antagonists (0.69 [0.50-0.96], 0.48 [0.35-0.66]), or loop diuretics (0.67 [0.53-0.85], 0.45 [0.37-0.55]). During telephone visits, clinicians were less likely to prescribe ACE (angiotensin-converting enzyme) inhibitor/ARB (angiotensin receptor blockers)/ARNIs (angiotensin receptor-neprilysin inhibitors; 0.54 [0.40-0.72]). Telephone visits but not video visits were associated with higher rates of 90-day mortality (1.82 [1.14-2.90]) and nonsignificant trends towards higher rates of 90-day heart failure emergency department visits (1.34 [0.97-1.86]) and hospitalizations (1.36 [0.98-1.89]).ConclusionsRemote visits for heart failure care were associated with reduced diagnostic testing and guideline-directed medical therapy prescription. Telephone but not video visits were associated with increased 90-day mortality.

Project description:BackgroundThe growing movement toward more accountable care delivery and the increasing number of people with chronic illnesses underscores the need for primary care practices to engage patients in their own care.ObjectiveFor adult primary care practices seeing patients with diabetes and/or cardiovascular disease, we examined the relationship between selected practice characteristics, patient engagement, and patient-reported outcomes of care.DesignCross-sectional multilevel observational study of 16 randomly selected practices in two large accountable care organizations (ACOs).ParticipantsPatients with diabetes and/or cardiovascular disease (CVD) who met study eligibility criteria (n = 4368) and received care in 2014 were randomly selected to complete a patient activation and PRO survey (51% response rate; n = 2176). Primary care team members of the 16 practices completed surveys that assessed practice culture, relational coordination, and teamwork (86% response rate; n = 411).Main measuresPatient-reported outcomes included depression (PHQ-4), physical functioning (PROMIS SF12a), and social functioning (PROMIS SF8a), the Patient Assessment of Chronic Illness Care instrument (PACIC-11), and the Patient Activation Measure instrument (PAM-13). Patient-level covariates included patient age, gender, education, insurance coverage, limited English language proficiency, blood pressure, HbA1c, LDL-cholesterol, and disease comorbidity burden. For each of the 16 practices, patient-centered culture and the degree of relational coordination among team members were measured using a clinician and staff survey. The implementation of shared decision-making activities in each practice was assessed using an operational leader survey.Key resultsHaving a patient-centered culture was positively associated with fewer depression symptoms (odds ratio [OR] = 1.51; confidence interval [CI] 1.04, 2.19) and better physical function scores (OR = 1.85; CI 1.25, 2.73). Patient activation was positively associated with fewer depression symptoms (OR = 2.26; CI 1.79, 2.86), better physical health (OR = 2.56; CI 2.00, 3.27), and better social health functioning (OR = 4.12; CI 3.21, 5.29). Patient activation (PAM-13) mediated the positive association between patients' experience of chronic illness care and each of the three patient-reported outcome measures-fewer depression symptoms, better physical health, and better social health. Relational coordination and shared decision-making activities reported by practices were not significantly associated with higher patient-reported outcome scores.ConclusionsDiabetic and CVD patients who received care from ACO-affiliated practices with more developed patient-centered cultures reported lower PHQ-4 depression symptom scores and better physical functioning. Diabetic and CVD patients who were more highly activated to participate in their care reported lower PHQ-4 scores and better physical and social outcomes of care.

Project description:PurposeTo improve cardiovascular care through supporting primary care practices' adoption of evidence-based guidelines.Study designA cluster randomized trial compared two approaches: (1) standard practice support (practice facilitation, practice assessment with feedback, health information technology assistance, and collaborative learning sessions) and (2) standard support plus patient engagement support.MethodsPrimary outcomes were cardiovascular clinical quality measures (CQMs) collected at baseline, 9 months, and 15 months. Implementation of the first 6 "Building Blocks of High-Performing Primary Care" was assessed by practice facilitators at baseline and 3, 6, and 9 months. CQMs from practices not involved in the study served as an external comparison.ResultsA total of 211 practices completed baseline surveys. There were no differences by study arm (odds ratio [95% confidence interval]) for aspirin use (1.03 [0.99, 1.06]), blood pressure (0.98 [0.95, 1.01]), cholesterol (0.96 [0.92, 1.00]), and smoking (1.01 [0.96, 1.07]); however, there were significant improvements over time in aspirin use (1.04 [1.01, 1.07]), cholesterol (1.05 [1.03, 1.08]), and smoking (1.03 [1.01, 1.06]), but not blood pressure (1.01 [0.998, 1.03]). Improvement in enrolled practices was greater than external comparison practices across all 4 measures (all P < .05). Implementation improved in both arms for Team-Based Care, Patient-Team Partnership, and Population Management, and improvement was greater in enhanced intervention practices (all P < .05). Leadership and Data-Driven Improvement (P < .05) improved significantly, with no difference by arm. A greater improvement in Building Block implementation was associated with a greater improvement in blood pressure measures (P < .05).ConclusionsPractice transformation support can assist practices with improving quality of care. Patient engagement in practice transformation can further enhance practices' implementation of aspects of new models of care.

Project description:BACKGROUND:In Canada, one in three adults or almost 9 million people report having a chronic condition. Over two thirds of total deaths result from cardiovascular disease, diabetes, cancer and respiratory illness and 77% of persons ?65 years have at least one chronic condition. Persons with chronic disease are at risk for functional decline; as a result, there is an increased awareness of the significance of functional status as an important health outcome. The purpose of this study was to determine whether patients who receive a multi-component rehabilitation intervention, including online monitoring of function with feedback and self-management workshops, showed less functional decline than case matched controls who did not receive this intervention. In addition, we wanted to determine whether capacity building initiatives within the Family Health Team promote a collaborative approach to Chronic Disease Management. METHODS:A population-based multi-component rehabilitation intervention delivered to persons with chronic illnesses (? 44 yrs) (n = 60) was compared to a group of age and sex matched controls (n = 60) with chronic illnesses receiving usual care within a primary healthcare setting. The population-based intervention consisted of four main components: (1) function-based individual assessment and action planning, (2) rehabilitation self-management workshops, (3) on-line self-assessment of function and (4) organizational capacity building. T-tests and chi-square tests were used for continuous and categorical variables respectively in baseline comparison between groups. RESULTS:Two MANOVA showed significant between group differences in patient reported physical functioning (? = 0.88, F = (2.86) = 5.97. p = 0.004) and for the physical performance measures collectively as the dependent variable (? = 0.80, F = (6.93) = 3.68. p = 0.0025). There were no within group differences for the capacity measures. CONCLUSION:It is feasible to monitor physical functioning as a health outcome for persons with chronic illness in primary care. The timeline for this study was not sufficient to show an increase in the capacity within the team; however there were some differences in patient outcomes. The short timeline was likely not sufficient to build the capacity required to support this approach. TRIAL REGISTRATION:NCT00859638.

Project description:PurposePractice facilitation is an evidence-informed implementation strategy to support quality improvement (QI) and aid practices in aligning with best evidence. Few studies, particularly of this size and scope, identify strategies that contribute to facilitator effectiveness.MethodsWe conducted a sequential mixed methods study, analyzing data from EvidenceNOW, a large-scale QI initiative. Seven regional cooperatives employed 162 facilitators to work with 1,630 small or medium-sized primary care practices. Main analyses were based on facilitators who worked with at least 4 practices. Facilitators were defined as more effective if at least 75% of their practices improved on at least 1 outcome measure-aspirin use, blood pressure control, smoking cessation counseling (ABS), or practice change capacity, measured using Change Process Capability Questionnaire-from baseline to follow-up. Facilitators were defined as less effective if less than 50% of their practices improved on these outcomes. Using an immersion crystallization and comparative approach, we analyzed observational and interview data to identify strategies associated with more effective facilitators.ResultsPractices working with more effective facilitators had a 3.6% greater change in the mean percentage of patients meeting the composite ABS measure compared with practices working with less effective facilitators (P <.001). More effective facilitators cultivated motivation by tailoring QI work and addressing resistance, guided practices to think critically, and provided accountability to support change, using these strategies in combination. They were able to describe their work in detail. In contrast, less effective facilitators seldom used these strategies and described their work in general terms. Facilitator background, experience, and work on documentation did not differentiate between more and less effective facilitators.ConclusionsFacilitation strategies that differentiate more and less effective facilitators have implications for enhancing facilitator development and training, and can assist all facilitators to more effectively support practice changes.

Dataset Information

Pathways for primary care practice adoption of patient engagement strategies.

Objective

Data sources

Study design

Data collection

Principal findings

Conclusions

Publications

Pathways for primary care practice adoption of patient engagement strategies.

Similar Datasets

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