Dataset Information

Long-term impact of evidence-based quality improvement for facilitating medical home implementation on primary care health professional morale.

ABSTRACT:

Background

Poor morale among primary care providers (PCPs) and staff can undermine the success of patient-centered care models such as the patient-centered medical home that rely on highly coordinated inter-professional care teams. Medical home literature hypothesizes that participation in quality improvement can ease medical home transformation. No studies, however, have assessed the impact of quality improvement participation on morale (e.g., burnout or dissatisfaction) during transformation. The objective of this study is to examine whether primary care practices participating in evidence-based quality improvement (EBQI) during medical home transformation reduced burnout and increased satisfaction over time compared to non-participating practices.

Methods

We used a longitudinal quasi-experimental design to examine the impact of EBQI (vs. no EBQI), a multi-level, interdisciplinary approach for engaging frontline primary care practices in developing evidence-based improvement innovations and tools for spread on PCP and staff morale following the 2010 national implementation of the medical home model in the Veterans Health Administration. The sample included 356 primary care employees (107 primary care providers and 249 staff) from 23 primary care practices (6 intervention and 17 comparison) within one Veterans Health Administration region. Three intervention practices began EBQI in 2011 (early) and three more began EBQI in 2012 (late). Three waves of surveys were administered across 42 months beginning in November 2011 and ending in January 2016 approximately 2 years 18 months apart. We used repeated measures analysis of the survey data on medical home teams. Main outcome measures were the emotional exhaustion subscale from the Maslach Burnout Inventory, and job satisfaction.

Results

Six of 26 approved EBQI innovations directly addressed provider and staff morale; all 26 addressed medical home implementation challenges. Survey rates were 63% for baseline and 48% for both follow-up waves. Age was associated with lower burnout among PCPs (p?=?.039) and male PCPs had higher satisfaction (p?=?.037). Controlling for practice and PCP/staff characteristics, burnout increased by 5 points for PCPs in comparison practices (p?=?.024) and decreased by 1.4 points for early and 6.8 points (p?=?.039) for the late EBQI practices.

Conclusions

Engaging PCPs and staff in EBQI reduced burnout over time during medical home transformation.

SUBMITTER: Meredith LS

PROVIDER: S-EPMC6119243 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Long-term impact of evidence-based quality improvement for facilitating medical home implementation on primary care health professional morale.

Meredith Lisa S LS Batorsky Benjamin B Cefalu Matthew M Darling Jill E JE Stockdale Susan E SE Yano Elizabeth M EM Rubenstein Lisa V LV

BMC family practice 20180831 1

<h4>Background</h4>Poor morale among primary care providers (PCPs) and staff can undermine the success of patient-centered care models such as the patient-centered medical home that rely on highly coordinated inter-professional care teams. Medical home literature hypothesizes that participation in quality improvement can ease medical home transformation. No studies, however, have assessed the impact of quality improvement participation on morale (e.g., burnout or dissatisfaction) during transfor ...[more]

PMID: 30170541

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Project description:BackgroundEffective implementation strategies might facilitate patient-centered medical home (PCMH) uptake and spread by targeting barriers to change. Evidence-based quality improvement (EBQI) is a multi-faceted implementation strategy that is based on a clinical-researcher partnership. It promotes organizational change by fostering innovation and the spread of those innovations that are successful. Previous studies demonstrated that EBQI accelerated PCMH adoption within Veterans Health Administration primary care practices, compared with standard PCMH implementation. Research to date has not documented fidelity to the EBQI implementation strategy, limiting usefulness of prior research findings. This paper develops and assesses clinical participants' fidelity to three core EBQI elements for PCMH (EBQI-PCMH), explores the relationship between fidelity and successful QI project completion and spread (the outcome of EBQI-PCMH), and assesses the role of the clinical-researcher partnership in achieving EBQI-PCMH fidelity.MethodsNine primary care practice sites and seven across-sites, topic-focused workgroups participated (2010-2014). Core EBQI elements included leadership-frontlines priority-setting for QI, ongoing access to technical expertise, coaching, and mentoring in QI methods (through a QI collaborative), and data/evidence use to inform QI. We used explicit criteria to measure and assess EBQI-PCMH fidelity across clinical participants. We mapped fidelity to evaluation data on implementation and spread of successful QI projects/products. To assess the clinical-researcher partnership role in EBQI-PCMH, we analyzed 73 key stakeholder interviews using thematic analysis.ResultsSeven of 9 sites and 3 of 7 workgroups achieved high or medium fidelity to leadership-frontlines priority-setting. Fidelity was mixed for ongoing technical expertise and data/evidence use. Longer duration in EBQI-PCMH and higher fidelity to priority-setting and ongoing technical expertise appear correlated with successful QI project completion and spread. According to key stakeholders, partnership with researchers, as well as bi-directional communication between leaders and QI teams and project management/data support were critical to achieving EBQI-PCMH fidelity.ConclusionsThis study advances implementation theory and research by developing measures for and assessing fidelity to core EBQI elements in relationship to completion and spread of QI innovation projects or tools for addressing PCMH challenges. These results help close the gap between EBQI elements, their intended outcome, and the finding that EBQI-PCMH resulted in accelerated adoption of PCMH.

Project description:BACKGROUND:The patient-centered medical home (PCMH) is a widely adopted primary care model. However, it is unclear whether changes in provider and staff perceptions of clinic PCMH capability are associated with changes in provider and staff morale, job satisfaction, and burnout in safety net clinics. OBJECTIVE:To determine how provider and staff PCMH ratings changed under a multi-year PCMH transformation initiative and assess whether changes in provider and staff PCMH ratings were associated with changes in morale, job satisfaction, and burnout. DESIGN:Comparison of baseline (2010) and post-intervention (2013-2014) surveys. SETTING:Sixty clinics in five states. PARTICIPANTS:Five hundred thirty-six (78.2%) providers and staff at baseline and 589 (78.3%) post-intervention. INTERVENTION:Collaborative learning sessions and on-site coaching to implement PCMH over 4 years. MEASUREMENTS:Provider and staff PCMH ratings on 0 (worst) to 100 (best) scales; percent of providers and staff reporting good or better morale, job satisfaction, and freedom from burnout. RESULTS:Almost half of safety net clinics improved PCMH capabilities from the perspective of providers (28 out of 59, 47%) and staff (25 out of 59, 42%). Over the same period, clinics saw a decrease in the percentage of providers reporting high job satisfaction (- 12.3% points, p = .009) and freedom from burnout (- 10.4% points, p = .006). Worsened satisfaction was concentrated among clinics that had decreased PCMH rating, with those clinics seeing far fewer providers report high job satisfaction (- 38.1% points, p < 0.001). LIMITATIONS:Control clinics were not used. Individual-level longitudinal survey administration was not feasible. CONCLUSION:If clinics pursue PCMH transformation and providers do not perceive improvement, they may risk significantly worsened job satisfaction. Clinics should be aware of this potential risk of PCMH transformation and ensure that providers are aware of PCMH improvements.

Project description:Collaborative-care management is an evidence-based practice for improving depression outcomes in primary care. The Department of Veterans Affairs (VA) has mandated the implementation of collaborative-care management in its satellite clinics, known as Community Based Outpatient Clinics (CBOCs). However, the organizational characteristics of CBOCs present added challenges to implementation. The objective of this study was to evaluate the effectiveness of evidence-based quality improvement (EBQI) as a strategy to facilitate the adoption of collaborative-care management in CBOCs.This nonrandomized, small-scale, multisite evaluation of EBQI was conducted at three VA Medical Centers and 11 of their affiliated CBOCs. The Plan phase of the EBQI process involved the localized tailoring of the collaborative-care management program to each CBOC. Researchers ensured that the adaptations were evidence based. Clinical and administrative staff were responsible for adapting the collaborative-care management program for local needs, priorities, preferences and resources. Plan-Do-Study-Act cycles were used to refine the program over time. The evaluation was based on the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) Framework and used data from multiple sources: administrative records, web-based decision-support systems, surveys, and key-informant interviews.Adoption: 69.0% (58/84) of primary care providers referred patients to the program. Reach: 9.0% (298/3,296) of primary care patients diagnosed with depression who were not already receiving specialty care were enrolled in the program. Fidelity: During baseline care manager encounters, education/activation was provided to 100% (298/298) of patients, barriers were assessed and addressed for 100% (298/298) of patients, and depression severity was monitored for 100% (298/298) of patients. Less than half (42.5%, 681/1603) of follow-up encounters during the acute stage were completed within the timeframe specified. During the acute phase of treatment for all trials, the Patient Health Questionnaire (PHQ9) symptom-monitoring tool was used at 100% (681/681) of completed follow-up encounters, and self-management goals were discussed during 15.3% (104/681) of completed follow-up encounters. During the acute phase of treatment for pharmacotherapy and combination trials, medication adherence was assessed at 99.1% (575/580) of completed follow-up encounters, and side effects were assessed at 92.4% (536/580) of completed follow-up encounters. During the acute phase of treatment for psychotherapy and combination trials, counseling session adherence was assessed at 83.3% (239/287) of completed follow-up encounters. Effectiveness: 18.8% (56/298) of enrolled patients remitted (symptom free) and another 22.1% (66/298) responded to treatment (50% reduction in symptom severity). Maintenance: 91.9% (10/11) of the CBOCs chose to sustain the program after research funds were withdrawn.Provider adoption was good, although reach into the target population was relatively low. Fidelity and maintenance were excellent, and clinical outcomes were comparable to those in randomized controlled trials. Despite the organizational barriers, these findings suggest that EBQI is an effective facilitation strategy for CBOCs.Clinical trial # NCT00317018.

Project description:BackgroundThe patient-centered medical home (PCMH) has clinical benefits for chronic disease care, but the association with patient-reported outcomes such as health-related quality of life (HRQoL) is unexplored in patients with multimorbidity (two or more chronic diseases).ObjectiveTo examine if greater clinic-level PCMH implementation was associated with higher HRQoL in multimorbid adults.DesignA retrospective cohort study.ParticipantsTwenty-two thousand ninety-five multimorbid patients who received primary care at 944 Veterans Health Administration (VHA) clinics.Main measuresOur exposure was the Patient Aligned Care Team Implementation Progress Index (PI2) for the clinic in 2012, a previously validated composite measure of PCMH implementation. Higher PI2 scores indicate better performance within eight PCMH domains. Outcomes were patient-reported HRQoL measured by the physical and mental component scores (PCS and MCS) from the Short Form-12 patient experiences survey in 2013-2014. Interaction of the outcomes with total hospitalizations and primary care visit count was also examined. Generalized estimating equations were used for main models after adjusting for patient and clinic characteristics.ResultsThe cohort average age was 68 years, mostly male (96%), and had an average of 4.4 chronic diagnoses. Compared with patients seen at the lowest scoring clinics for PCMH implementation, care in the highest scoring clinics was associated with a higher adjusted marginal mean PCS (42.3 (95% CI 41.3-43.4) versus 40.3 (95% CI 39.1-41.5), P = 0.01), but a lower MCS (35.2 (95% CI 34.4-36.1) versus 36.0 (95% CI 35.3-36.8), P = 0.17). Patients with prior hospitalizations seen in clinics with higher compared with lower PI2 scores had a 2.7 point greater MCS (95% CI 0.6-4.8; P = 0.01).ConclusionsMultimorbid patients seen in clinics with greater PCMH implementation reported higher physical HRQoL, but lower mental HRQoL. The association between PCMH implementation and mental HRQoL may depend on complex interactions with disease severity and prior hospitalizations.

Project description:BACKGROUND:Quality Improvement (QI) initiatives in primary care are effective at improving uptake of evidence based guidelines, but are difficult to implement and sustain. In Australia meso-level health organisations such as Primary health care Organisations (PHCO) offer new opportunities to implement area-wide QI programs. This study sought to identify enablers and barriers to implementation of an existing Australian QI program and to identify strategic directions that PHCOs can use in the ongoing development of QI in this environment. METHODS:Semi-structured telephone interviews were conducted with 15 purposively selected program staff and participants from the Australian Primary Care Collaborative (APCC) QI program. Interviewees included seven people involved in design, administration and implementation of the APCC program and eight primary care providers (seven General Practitioners (GPs) and one practice nurse) who had participated in the program from 2004 to 2014. Interviewees were asked to describe their experience of the program and reflect on what enabled or impeded its implementation. Interviews were recorded, transcribed and iteratively analysed, with early analysis informing subsequent interviews. Identified themes and their implications were reviewed by a GP expert reference group. RESULTS:Implementation enablers and barriers were grouped into five thematic areas: (1) leadership, particularly the identification and utilisation of change champions; (2) organisational culture that supports quality improvement; (3) funding incentives that support a culture of quality and innovation; (4) access to and use of accurate data; and 5) design and utilisation of clinical systems that enable and support these issues. In all of these areas, the active involvement of an overarching external support organisation was considered a key ingredient to successful implementation. CONCLUSION:There are substantial opportunities for PHCOs to play a pivotal role in QI implementation in Australia and internationally. In developing QI programs and policies, such organisations ought to invest their efforts in: (1) identifying and mentoring local leaders; (2) fostering QI culture via development of local peer networks; (3) developing and advocating for alternative funding models to support and incentivise these activities; (4) investing in data and audit tool infrastructure; and (5) facilitation of systems implementation within primary care practices.

Dataset Information

Long-term impact of evidence-based quality improvement for facilitating medical home implementation on primary care health professional morale.

Background

Methods

Results

Conclusions

Publications

Long-term impact of evidence-based quality improvement for facilitating medical home implementation on primary care health professional morale.

Similar Datasets

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