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Dive into the research topics where Kasey R. Boehmer is active.

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Featured researches published by Kasey R. Boehmer.


BMC Health Services Research | 2014

Patient engagement in research: a systematic review

Juan Pablo Domecq; Gabriela Prutsky; Tarig Elraiyah; Zhen Wang; Mohammed Nabhan; Nathan D. Shippee; Juan P. Brito; Kasey R. Boehmer; Rim Hasan; Belal Firwana; Patricia J. Erwin; David T. Eton; Jeff A. Sloan; Victor M. Montori; Noor Asi; Abd Moain Abu Dabrh; Mohammad Hassan Murad

BackgroundA compelling ethical rationale supports patient engagement in healthcare research. It is also assumed that patient engagement will lead to research findings that are more pertinent to patients’ concerns and dilemmas. However; it is unclear how to best conduct this process. In this systematic review we aimed to answer 4 key questions: what are the best ways to identify patient representatives? How to engage them in designing and conducting research? What are the observed benefits of patient engagement? What are the harms and barriers of patient engagement?MethodsWe searched MEDLINE, EMBASE, PsycInfo, Cochrane, EBSCO, CINAHL, SCOPUS, Web of Science, Business Search Premier, Academic Search Premier and Google Scholar. Included studies were published in English, of any size or design that described engaging patients or their surrogates in research design. We conducted an environmental scan of the grey literature and consulted with experts and patients. Data were analyzed using a non-quantitative, meta-narrative approach.ResultsWe included 142 studies that described a spectrum of engagement. In general, engagement was feasible in most settings and most commonly done in the beginning of research (agenda setting and protocol development) and less commonly during the execution and translation of research. We found no comparative analytic studies to recommend a particular method. Patient engagement increased study enrollment rates and aided researchers in securing funding, designing study protocols and choosing relevant outcomes. The most commonly cited challenges were related to logistics (extra time and funding needed for engagement) and to an overarching worry of a tokenistic engagement.ConclusionsPatient engagement in healthcare research is likely feasible in many settings. However, this engagement comes at a cost and can become tokenistic. Research dedicated to identifying the best methods to achieve engagement is lacking and clearly needed.


Health Expectations | 2015

Patient and service user engagement in research: a systematic review and synthesized framework

Nathan D. Shippee; Juan Pablo Domecq Garces; Gabriela Prutsky Lopez; Zhen Wang; Tarig Elraiyah; Mohammed Nabhan; Juan P. Brito; Kasey R. Boehmer; Rim Hasan; Belal Firwana; Patricia J. Erwin; Victor M. Montori; M. Hassan Murad

There is growing attention towards increasing patient and service user engagement (PSUE) in biomedical and health services research. Existing variations in language and design inhibit reporting and indexing, which are crucial to comparative effectiveness in determining best practices.


BMC Health Services Research | 2014

Rethinking the patient: Using Burden of Treatment Theory to understand the changing dynamics of illness

Carl May; David T. Eton; Kasey R. Boehmer; Katie Gallacher; Katherine Hunt; Sara Macdonald; Frances Mair; Christine M. May; Victor M. Montori; Alison Richardson; Anne Rogers; Nathan D. Shippee

BackgroundIn this article we outline Burden of Treatment Theory, a new model of the relationship between sick people, their social networks, and healthcare services. Health services face the challenge of growing populations with long-term and life-limiting conditions, they have responded to this by delegating to sick people and their networks routine work aimed at managing symptoms, and at retarding – and sometimes preventing – disease progression. This is the new proactive work of patient-hood for which patients are increasingly accountable: founded on ideas about self-care, self-empowerment, and self-actualization, and on new technologies and treatment modalities which can be shifted from the clinic into the community. These place new demands on sick people, which they may experience as burdens of treatment.DiscussionAs the burdens accumulate some patients are overwhelmed, and the consequences are likely to be poor healthcare outcomes for individual patients, increasing strain on caregivers, and rising demand and costs of healthcare services. In the face of these challenges we need to better understand the resources that patients draw upon as they respond to the demands of both burdens of illness and burdens of treatment, and the ways that resources interact with healthcare utilization.SummaryBurden of Treatment Theory is oriented to understanding how capacity for action interacts with the work that stems from healthcare. Burden of Treatment Theory is a structural model that focuses on the work that patients and their networks do. It thus helps us understand variations in healthcare utilization and adherence in different healthcare settings and clinical contexts.


PLOS ONE | 2014

The efficacy of resiliency training programs: a systematic review and meta-analysis of randomized trials.

Aaron L. Leppin; Pavithra R. Bora; Jon C. Tilburt; Michael R. Gionfriddo; Claudia Zeballos-Palacios; Megan M. Dulohery; Amit Sood; Patricia J. Erwin; Juan P. Brito; Kasey R. Boehmer; Victor M. Montori

Importance Poor mental health places a burden on individuals and populations. Resilient persons are able to adapt to life’s challenges and maintain high quality of life and function. Finding effective strategies to bolster resilience in individuals and populations is of interest to many stakeholders. Objectives To synthesize the evidence for resiliency training programs in improving mental health and capacity in 1) diverse adult populations and 2) persons with chronic diseases. Data Sources Electronic databases, clinical trial registries, and bibliographies. We also contacted study authors and field experts. Study Selection Randomized trials assessing the efficacy of any program intended to enhance resilience in adults and published after 1990. No restrictions were made based on outcome measured or comparator used. Data Extraction and Synthesis Reviewers worked independently and in duplicate to extract study characteristics and data. These were confirmed with authors. We conducted a random effects meta-analysis on available data and tested for interaction in planned subgroups. Main Outcomes The standardized mean difference (SMD) effect of resiliency training programs on 1) resilience/hardiness, 2) quality of life/well-being, 3) self-efficacy/activation, 4) depression, 5) stress, and 6) anxiety. Results We found 25 small trials at moderate to high risk of bias. Interventions varied in format and theoretical approach. Random effects meta-analysis showed a moderate effect of generalized stress-directed programs on enhancing resilience [pooled SMD 0.37 (95% CI 0.18, 0.57) p = .0002; I2 = 41%] within 3 months of follow up. Improvement in other outcomes was favorable to the interventions and reached statistical significance after removing two studies at high risk of bias. Trauma-induced stress-directed programs significantly improved stress [−0.53 (−1.04, −0.03) p = .03; I2 = 73%] and depression [−0.51 (−0.92, −0.10) p = .04; I2 = 61%]. Conclusions We found evidence warranting low confidence that resiliency training programs have a small to moderate effect at improving resilience and other mental health outcomes. Further study is needed to better define the resilience construct and to design interventions specific to it. Registration Number PROSPERO #CRD42014007185


Systematic Reviews | 2014

The efficacy of resilience training programs: a systematic review protocol

Aaron L. Leppin; Michael R. Gionfriddo; Amit Sood; Victor M. Montori; Patricia J. Erwin; Claudia Zeballos-Palacios; Pavithra R Bora; Megan M. Dulohery; Juan P. Brito; Kasey R. Boehmer; Jon C. Tilburt

BackgroundResilience has been defined as the ability of individuals to manage and adapt to stress and life challenges. Training programs that develop and/or enhance resilience may have efficacy in improving health, well-being, and quality of life. Because patients with chronic conditions must reliably self-manage their health, strategies to bolster resilience in this population may be of particular value. The objectives of this systematic review are to synthesize the evidence of resilience training program efficacy in improving outcomes related to quality of life, self-efficacy and activation, and resilience and coping ability in: 1) diverse adult populations; and 2) patients with chronic conditions.Methods/DesignWe will conduct a systematic review of randomized controlled trials assessing the efficacy of any program designed to enhance resilience in adults that measure any outcome against any comparator. We will search multiple electronic databases, trial registries, bibliographies, and will contact authors and experts to identify studies. We will use systematic review software to independently and in duplicate screen reports and extract data. We will extract characteristics of the study populations, interventions, comparators, outcomes, and quality/risk of bias. Primary, patient reported outcomes will be categorized into domains of quality of life, self-efficacy, and resilience. Secondary outcomes will be considered based on findings of the review. We will attempt meta-analysis by pooling standardized mean differences and minimally important differences (MIDs), when possible. Planned trial subgroup analyses are: 1) studies of patients with chronic conditions; 2) studies with placebo controls; 3) studies with similar intervention characteristics; and 4) studies with common lengths of follow-up.DiscussionThis study is intended to accumulate the evidence for resilience training programs in improving quality of life, resilience, and self-efficacy for care management, particularly among adult patients with chronic conditions. Its findings will be valuable to policy-makers, funding agencies, clinicians, and patients seeking innovative and effective ways to achieve patient-centered care.Trial registrationPROSPERO registration number: CRD42014007185.


BMC Health Services Research | 2012

The impact of decision aids to enhance shared decision making for diabetes (the DAD study): protocol of a cluster randomized trial

Annie LeBlanc; Kari L. Ruud; Megan E. Branda; Kristina Tiedje; Kasey R. Boehmer; Laurie J. Pencille; Holly K. Van Houten; Marc R. Matthews; Nilay D. Shah; Carl May; Barbara P. Yawn; Victor M. Montori

BackgroundShared decision making contributes to high quality healthcare by promoting a patient-centered approach. Patient involvement in selecting the components of a diabetes medication program that best match the patient’s values and preferences may also enhance medication adherence and improve outcomes. Decision aids are tools designed to involve patients in shared decision making, but their adoption in practice has been limited. In this study, we propose to obtain a preliminary estimate of the impact of patient decision aids vs. usual care on measures of patient involvement in decision making, diabetes care processes, medication adherence, glycemic and cardiovascular risk factor control, and resource utilization. In addition, we propose to identify, describe, and explain factors that promote or inhibit the routine embedding of decision aids in practice.Methods/DesignWe will be conducting a mixed-methods study comprised of a cluster-randomized, practical, multicentered trial enrolling clinicians and their patients (n = 240) with type 2 diabetes from rural and suburban primary care practices (n = 8), with an embedded qualitative study to examine factors that influence the incorporation of decision aids into routine practice. The intervention will consist of the use of a decision aid (Statin Choice and Aspirin Choice, or Diabetes Medication Choice) during the clinical encounter. The qualitative study will include analysis of video recordings of clinical encounters and in-depth, semi-structured interviews with participating patients, clinicians, and clinic support staff, in both trial arms.DiscussionUpon completion of this trial, we will have new knowledge about the effectiveness of diabetes decision aids in these practices. We will also better understand the factors that promote or inhibit the successful implementation and normalization of medication choice decision aids in the care of chronic patients in primary care practices.Trial registrationNCT00388050


BMC Family Practice | 2016

Patient capacity and constraints in the experience of chronic disease: A qualitative systematic review and thematic synthesis

Kasey R. Boehmer; Michael R. Gionfriddo; Rene Rodriguez-Gutierrez; Abd Moain Abu Dabrh; Aaron L. Leppin; Ian Hargraves; Carl May; Nathan D. Shippee; Ana Castaneda-Guarderas; Claudia Zeballos Palacios; Pavithra R. Bora; Patricia J. Erwin; Victor M. Montori

BackgroundLife and healthcare demand work from patients, more so from patients living with multimorbidity. Patients must respond by mobilizing available abilities and resources, their so-called capacity. We sought to summarize accounts of challenges that reduce patient capacity to access or use healthcare or to enact self-care while carrying out their lives.MethodsWe conducted a systematic review and synthesis of the qualitative literature published since 2000 identifying from MEDLINE, EMBASE, Psychinfo, and CINAHL and retrieving selected abstracts for full text assessment for inclusion. After assessing their methodological rigor, we coded their results using a thematic synthesis approach.ResultsThe 110 reports selected, when synthesized, showed that patient capacity is an accomplishment of interaction with (1) the process of rewriting their biographies and making meaningful lives in the face of chronic condition(s); (2) the mobilization of resources; (3) healthcare and self-care tasks, particularly, the cognitive, emotional, and experiential results of accomplishing these tasks despite competing priorities; (4) their social networks; and (5) their environment, particularly when they encountered kindness or empathy about their condition and a feasible treatment plan.ConclusionPatient capacity is a complex and dynamic construct that exceeds “resources” alone. Additional work needs to translate this emerging theory into useful practice for which we propose a clinical mnemonic (BREWS) and the ICAN Discussion Aid.


Journal of Clinical Epidemiology | 2016

Pursuing minimally disruptive medicine: disruption from illness and health care-related demands is correlated with patient capacity

Kasey R. Boehmer; Nathan D. Shippee; Timothy J. Beebe; Victor M. Montori

BACKGROUND Chronic conditions burden patients with illness and treatments. We know little about the disruption of life by the work of dialysis in relation to the resources patients can mobilize, that is, their capacity, to deal with such demands. We sought to determine the disruption of life by dialysis and its relation to patient capacity to cope. METHODS We administered a survey to 137 patients on dialysis at an academic medical center. We captured disruption from illness and treatment, and physical, mental, personal, social, financial, and environmental aspects of patient capacity using validated scales. Covariates included number of prescriptions, hours spent on health care, existence of dependents, age, sex, and income level. RESULTS On average, patients reported levels of capacity and disruption comparable to published levels. In multivariate regression models, limited physical, financial, and mental capacity were significantly associated with greater disruption. Patients in the top quartile of disruption had lower-than-expected physical, financial, and mental capacity. CONCLUSIONS Our sample generally had capacity comparable to other populations and may be able to meet the demands imposed by treatment. Those with reduced physical, financial, and mental capacity reported higher disruption and represent a vulnerable group that may benefit from innovations in minimally disruptive medicine.


Systematic Reviews | 2016

Health coaching interventions for persons with chronic conditions: a systematic review and meta-analysis protocol

Kasey R. Boehmer; Suzette Barakat; Sangwoo Ahn; Larry J. Prokop; Patricia J. Erwin; M. Hassan Murad

BackgroundChronic conditions are increasingly more common and negatively impact quality of life, disability, morbidity, and mortality. Health coaching has emerged as a possible intervention to help individuals with chronic conditions adopt health supportive behaviors that improve both quality of life and health outcomes.Methods/designWe planned a systematic review and meta-analysis of the contemporary health coaching literature published in the last decade to evaluate the effect of health coaching on clinically important, disease-specific, functional, and behavioral outcomes. We will include randomized controlled trials or quasi-experimental studies that compared health coaching to alternative interventions or usual care. To enable adoption of effective interventions, we aim to explore how the effect of intervention is modified by the intervention components, delivering personnel (i.e., health professionals vs trained lay or peer persons), dose, frequency, and setting. Analysis of intervention outcomes will be reported and classified using an existing theoretical framework, the Theory of Patient Capacity, to identify the areas of patients’ capacity to access and use healthcare and enact self-care where coaching may be an effective intervention.DiscussionThis systematic review and meta-analysis will identify and synthesize evidence to inform the practice of health coaching by providing evidence on components and characteristics of the intervention essential for success in individuals with chronic health conditions.Systematic review registrationPROSPERO CRD42016039730


Systematic Reviews | 2014

A systematic review of shared decision making interventions in chronic conditions: a review protocol

Michael R. Gionfriddo; Aaron L. Leppin; Juan P. Brito; Annie LeBlanc; Kasey R. Boehmer; Megan A. Morris; Patricia J. Erwin; Larry J. Prokop; Claudia Zeballos-Palacios; Germán Málaga; J. Jaime Miranda; Heidi M McLeod; René Rodríguez-Gutiérrez; Rongchong Huang; Oscar L. Morey-Vargas; Mohammad Hassan Murad; Victor M. Montori

BackgroundChronic conditions are a major source of morbidity, mortality and cost worldwide. Shared decision making is one way to improve care for patients with chronic conditions. Although it has been widely studied, the effect of shared decision making in the context of chronic conditions is unknown.Methods/DesignWe will perform a systematic review with the objective of determining the effectiveness of shared decision making interventions for persons diagnosed with chronic conditions. We will search the following databases for relevant articles: PubMed, Scopus, Ovid MEDLINE, Ovid EMBASE, Ovid EBM Reviews CENTRAL, CINAHL, and Ovid PsycInfo. We will also search clinical trial registries and contact experts in the field to identify additional studies. We will include randomized controlled trials studying shared decision making interventions in patients with chronic conditions who are facing an actual decision. Shared decision making interventions will be defined as any intervention aiming to facilitate or improve patient and/or clinician engagement in a decision making process. We will describe all studies and assess their quality. After adjusting for missing data, we will analyze the effect of shared decision making interventions on outcomes in chronic conditions overall and stratified by condition. We will evaluate outcomes according to an importance ranking informed by a variety of stakeholders. We will perform several exploratory analyses including the effect of author contact on the estimates of effect.DiscussionWe anticipate that this systematic review may have some limitations such as heterogeneity and imprecision; however, the results will contribute to improving the quality of care for individuals with chronic conditions and facilitate a process that allows decision making that is most consistent with their own values and preferences.Trial registrationPROSPERO Registration Number: CRD42013005784

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Carl May

University of Southampton

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