Recommendations for a Mixed Methods Approach to Evaluating the Patient-Centered Medical Home ============================================================================================ * Roberta E. Goldman * Donna R. Parker * Joanna Brown * Judith Walker * Charles B. Eaton * Jeffrey M. Borkan ## Abstract **PURPOSE** There is a strong push in the United States to evaluate whether the patient-centered medical home (PCMH) model produces desired results. The explanatory and contextually based questions of how and why PCMH succeeds in different practice settings are often neglected. We report the development of a comprehensive, mixed qualitative-quantitative evaluation set for researchers, policy makers, and clinician groups. **METHODS** To develop an evaluation set, the Brown Primary Care Transformation Initiative convened a multidisciplinary group of PCMH experts, reviewed the PCMH literature and evaluation strategies, developed key domains for evaluation, and selected or created methods and measures for inclusion. **RESULTS** The measures and methods in the evaluation set (survey instruments, PCMH meta-measures, patient outcomes, quality measures, qualitative interviews, participant observation, and process evaluation) are meant to be used together. PCMH evaluation must be sufficiently comprehensive to assess and explain both the context of transformation in different primary care practices and the experiences of diverse stakeholders. In addition to commonly assessed patient outcomes, quality, and cost, it is critical to include PCMH components integral to practice culture transformation: patient and family centeredness, authentic patient activation, mutual trust among practice employees and patients, and transparency, joy, and collaboration in delivering and receiving care in a changing environment. **CONCLUSIONS** This evaluation set offers a comprehensive methodology to enable understanding of how PCMH transformation occurs in different practice settings. This approach can foster insights about how transformation affects critical outcomes to achieve meaningful, patient-centered, high-quality, and cost-effective sustainable change among diverse primary care practices. * patient-centered medical home * evaluation * practice transformation * context * mixed methods * qualitative methods * quantitative methods ## INTRODUCTION The patient-centered medical home (PCMH) movement on the American health care scene is relatively new, though it has roots in both pediatrics and general practice.1–3 The conceptualization of PCMH began with a broad notion of transforming primary care practices by combining the best primary care attributes with new means of structuring patient care, enhancing patient engagement and care coordination, achieving improved health outcomes, providing a better patient experience of care, improving efficiency and use of health information technology, and, ultimately, reducing costs.4–9 Stakeholders disagree about exactly what a medical home is, to what transformation should aspire, and how “medical home-ness” should be assessed.10–13 Evaluations of such new organizational structures were intended to consider quality, cost, and experience of patients, clinicians, and medical staff,5,14,15 though the elements most pertinent to fostering payers’ support of these initiatives were increased efficiency and lowered costs.16 The informative richness of evaluation efforts can be compromised if their strategies have too narrow a focus. Practices’ participation in payer- or government-driven PCMH involves high stakes, with payment dependent upon required performance reporting. In this environment, evaluators tend to focus data collection on a constrained set of concrete quality measures to limit the reporting burden on primary care sites and to allow for an objective, comparative assessment of progress.17–19 Moreover, there has been a reluctance to collect data that are not directly tied to incentives, such as the patient, family,12,17 and clinician’s20 experience of care or the transformation process itself.21 Often neglected in evaluations is a qualitative exploration of the mediating mechanisms and modifying conditions22 of transformation. Qualitative inquiry into these conditions helps explain and provide context for how PCMH implementation can be variable and affected by the political, organizational, philosophical, cultural, community, financial, practice, clinician, staff, and patient factors within the highly stressed atmosphere of primary care delivery.19,21,23 Efforts to evaluate the PCMH model in the United States have occurred within the rapidly evolving environment of PCMH transformation. Diverse stakeholders are enthusiastic about the potential of the PCMH to improve health care delivery and reduce disparities.11,24–28 Recent reports point to the success of PCMH initiatives in achieving various subsets of desired aims.18,21,23,29–32 Yet, as Hoff et al note,23 there is “conceptual sponginess” to the PCMH for which concepts and labels are variously defined and differentially applied. As a result, the field—possibly prematurely—is seeking a specified set of clinical benchmarks19,21,33,34 on which to focus to determine whether PCMH works. Such a focus leaves behind the important questions of how and why PCMH may work in particular contexts, and in what ways a practice has or has not undergone fundamental and enduring transformation in the way it functions.21,23,35 Given the variable manifestations inherent in the politics, economics, and organizational contexts of real-world primary care practice,21,35,36 it is important to consider whether ideal transformation processes can be universally implemented and whether at this stage they can be evaluated with universally standardized measures.23,33,36–42 Furthermore, it is important to consider what constitutes a comprehensive set of ingredients for successful transformation and how to evaluate the processes contributing to its success.4,43 To address these gaps, we set out to elucidate the domains and evaluation strategies that constitute a comprehensive methodology to determine how transformation occurs within the context of practice and to explain why such transformation happens. We wanted to establish a set of metrics and methods that, when used together, address the many contextual issues involved in PCMH transformation. The set would be designed for use by researchers, policy makers, and primary care clinician groups when conducting and evaluating PCMH initiatives. Their findings could then be used to monitor change within practices, compare practices’ abilities to promote and sustain change, and to understand what conditions lead to stronger practice transformation. ## METHODS In 2011, the Brown Primary Care Transformation Initiative at Brown University’s Department of Family Medicine convened a PCMH evaluation think tank to begin development of a comprehensive PCMH evaluation data collection set that could be implemented feasibly. The think tank included 28 national and regional authorities in PCMH evaluation from family medicine, internal medicine, pediatrics, nursing, epidemiology, anthropology, sociology, psychology, health insurance, e-health, health systems transformation, the Rhode Island Department of Health, and other public health entities. After the think tank convened, our Brown Primary Care Transformation Initiative team engaged in an immersion-crystallization process of qualitative data analysis,44 meeting repeatedly to review the think tank notes, recordings, and transcripts. Before and after the think tank convened, 1 coauthor (D.R.P.) used the MEDLINE database to identify and review for quality and relevancy the English language articles addressing PCMH evaluation. Based on the literature findings and the published and online evaluation tools and methods, we selected tools and adapted and created others to compile a contextually comprehensive, qualitative and quantitative mixed methods PCMH evaluation set for use at baseline and follow-up. Our objective was to assemble an evaluation set that could be implemented according to PCMH project needs to uncover and explain how and why transformation occurs (or is impeded) within the cultural and philosophical construct of primary care practice and care seeking. ## RESULTS ### Compiling a Feasible, Contextually Comprehensive Evaluation Set The organizing framework outlined by think tank participants called for a comprehensive evaluation set that is explanatory, attends to the context of transformation, and elicits the experiences of the diverse stakeholders’ (patients, parents or caregivers, clinicians, staff) broad range of issues involved in PCMH transformation. Mixed methods were promoted to capture the requisite baseline and follow-up data: qualitative interviews, participant-observation, focus groups, surveys, other quantitative measures, and patient outcomes. The strategies included in the set assess practice workflow and interpersonal communication, practice baseline culture, and culture transformation; patient and family centeredness and authentic patient activation; enhanced communication and trust among practice employees and among employees and patients; transparency; meaning, joy, and collaboration in delivering and receiving health care; and community integration. The evaluation set is displayed in Tables 1 through 8. All patient instruments are available in English and Spanish because 12.9% of the US population spoke Spanish at home in 2011, and of those speakers, 5.9% reported they speak English less than very well.48 View this table: [Table 1](http://www.annfammed.org/content/13/2/168/T1) Table 1 Quantitative PCMH Evaluation Measures: Practice, Clinician, and Staff Survey Instruments ### Quantitative Measures We selected or adapted publicly available written survey instruments that include the critical PCMH components we identified (see Supplemental Appendixes 1 and 2, [http://www.annfammed.org/content/13/2/168/suppl/DC1](http://www.annfammed.org/content/13/2/168/suppl/DC1) for adapted instruments). Our goal was to include instruments that we believe, when used together, are comprehensive yet manageable. Instruments in the evaluation set address practice, clinician, and staff demographics; job satisfaction; burnout; and clinician support for patient activation. Our inclusion of 3 patient instruments results from a careful selection of those we consider to be the most suitable for PCMH evaluation; they are relatively quick to complete (15 to 30 minutes to complete all 3), and they address different measures that together provide a contextually based view of the patient’s perspective. Practices seeking PCMH accreditation are required to use the National Committee for Quality Assurance (NCQA) accreditation measure.49 We suggest practices also use the practice self-evaluation Patient-Centered Medical Home Assessment (PCMH-A), an excellent tool for assessing baseline needs and monitoring transformation.50 Hospital utilization can be measured by emergency department and hospital admissions and include ambulatory care–sensitive conditions (medical problems that might be prevented or can be treated outside a hospital).51 Quality is measured with specific clinical benchmarks within broad areas of care (eg, diabetes would have performance goals for hemoglobin A1c levels, documented eye examinations, etc). These benchmarks are variously defined among PCMH projects according to local requirements and data availability, so only suggested areas are listed in Table 5 (Supplemental Appendixes 1–5, [http://www.annfammed.org/content/13/2/168/suppl/DC1](http://www.annfammed.org/content/13/2/168/suppl/DC1)).52 View this table: [Table 2](http://www.annfammed.org/content/13/2/168/T2) Table 2 Quantitative PCMH Evaluation Measures: Patient Survey Instruments View this table: [Table 3](http://www.annfammed.org/content/13/2/168/T3) Table 3 Quantitative PCMH Evaluation Measures: Examples of Meta-Measures View this table: [Table 4](http://www.annfammed.org/content/13/2/168/T4) Table 4 Hospital Utilization Measures View this table: [Table 5](http://www.annfammed.org/content/13/2/168/T5) Table 5 Examples of Clinical Benchmark Categories ### Qualitative Data Collection Qualitative data complement quantitative data to obtain a contextualized understanding of what occurs in practices that may influence transformation and to help explain quantitative findings. Several types of participant observation allow evaluators to compare interview and survey findings with direct observation of how the practice functions. Observation templates guide trained participant-observers in writing field notes regarding the office environment. Patient pathways are conducted where an evaluator accompanies patients from registration through checkout, and for staff pathways the evaluator shadows individual staff during typical workdays (Table 6). View this table: [Table 6](http://www.annfammed.org/content/13/2/168/T6) Table 6 PCMH Qualitative Observational Evaluation Methods In-person individual interviews with clinicians, staff, and patients should be conducted by trained interviewers using semistructured question guides. Core questions are supplemented with spontaneous probes and follow-up questions to elicit information in participants’ own words about how they think about primary care and PCMH transformation (Table 7) (Supplemental Appendixes 6–12, [http://www.annfammed.org/content/13/2/168/suppl/DC1](http://www.annfammed.org/content/13/2/168/suppl/DC1)). View this table: [Table 7](http://www.annfammed.org/content/13/2/168/T7) Table 7 PCMH Qualitative Interview Evaluation Methods ### Implementation Process Evaluation Methods The qualitative methods described above elicit information on transformation from clinicians, staff, and patients, who are internal to the practice. To understand practice evolution as part of an externally facilitated initiative, it is helpful to document the perceptions of the external team. Such process evaluation documents additional contextual and explanatory factors that may influence the quality and outcomes of a PCMH initiative. Our evaluation set includes guides for periodic reflection and progress notes for evaluators and facilitators and twice-yearly focus groups with these project staff. Written reflections allow staff to delve deeply into specific issues that feel important to their work and the transformation process.36 Focus groups, led by a trained focus group moderator, promote group interaction around matters concerning the overall transformation initiative beyond those that commonly dominate staff meetings (Table 8, and Supplemental Appendixes 13 and 14, [http://www.annfammed.org/content/13/2/168/suppl/DC1](http://www.annfammed.org/content/13/2/168/suppl/DC1)). View this table: [Table 8](http://www.annfammed.org/content/13/2/168/T8) Table 8 PCMH Implementation Process Evaluation Methods ### Application of Evaluation Data to Promote Practice Transformation Individualized practice reports can be created by analyzing baseline and follow-up data from all methods. Reports summarize strengths and challenges of the PCMH transformation domains. We recommend that facilitation staff meet in person with practice representatives to discuss findings and devise transformation goals and strategies. Care must be taken in the reports to maintain respondent confidentiality by not linking comments with specific employees or job roles. Process evaluation data can be used to modify facilitation strategies during the transformation and, at the completion of the initiative, to better understand the impact of practice transformation on staff interactions. ## DISCUSSION PCMH researchers have noted that a comprehensive evaluation must be developed to understand and explain not only how and why practices transform but also how stakeholders experience the transformation.19,23 Enhanced insights are needed so the field can develop recommendations for practice facilitation that best achieves the goals of the PCMH model. Mixed methods approaches that involve diverse stakeholders may be best suited to revealing these complex insights. Taken together, findings from each of these “different ways of knowing”53 help explain the findings from the others and lead to conclusions that would not be reached by any single approach.54–57 Often missing in PCMH evaluation is the analysis of the context and process of practice transformation efforts—data that help explain why anticipated changes were or were not achieved.35,36 Comprehensive use of mixed methods evaluations can harness the power of different types of inquiry and resulting data. Surveys capture only part of the story, and individuals in practices may be too embedded within their cultural milieu to describe accurately the transformation processes, facilitators, and barriers. Similarly, evaluating performance through the electronic health record data alone may misrepresent the actual quality of care provided by the practice.58 Despite our attempt to design an evaluation set that can be feasibly implemented, however, limitations may include lack of staff trained to implement the multiple methods, the burden of data collection, and the unpredictable consequences of change. The contextually comprehensive approach we describe may provide insights into some of the more fundamental changes that are needed to drive transformation toward the joy and enhanced quality outcomes and satisfaction that many are hoping to foster in the health care experienced by patients, clinicians, and staff.59 ## Acknowledgements The PCMH Evaluation Think Tank members provided insightful commentaries during the think tank discussions. We are grateful to the numerous conference attendees who provided thoughtful comments on our presentation of parts of this work at several conferences. ## Footnotes * Conflicts of interest: authors report none. * **Funding support:** This work was funded by a grant from the US Department of Health and Human Services, Health Resources and Services Administration, HRSA grant #1D54HP20675-01-00. * **Prior presentations:** Portions of the material included in this article were presented in: Borkan JM, Eaton C, Goldman RE. Anthropological and mixed-methods approaches to PCMH evaluation. Presented as part of a preconference workshop at: North American Primary Care Research Group Annual Meeting; December, 2012; New Orleans, LA. Goldman RE, Borkan JM. Anthropological approaches: using qualitative methods to uncover unexpected insights about the implementation and outcomes of patient-centered medical home models. Presented at: AcademyHealth Annual Research Meeting; June, 2013; Baltimore, MD. 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