Hazel Tapp

The science of primary health-care improvement: potential and use of community-based participatory research by practice-based research networks for translation of research into practice

There is a need for new approaches to supplement the existing methods of taking research from bench to bedside and from bedside to practice. Community-based participatory research (CBPR) is an emerging model of research that enhances ongoing clinical research by involving key stakeholders, including community members and patients. A practice-based research network (PBRN) is a group of primary care practices devoted principally not only to the primary care of patients, but also with a mission to investigate questions related to community-based practice and to improve the quality of primary care. Traditionally, PBRN research has not included patients or community members, while CBPR has excluded health providers as key stakeholders. Typical overlap topics of PBRN and CBPR research are health-care disparities, prevention, chronic disease management and mental health. The inclusion of CBPR within a PBRN has been identified as an important next step with the potential to significantly enhance the research process. This review focuses on bringing together the ideals of CBPR and PBRNs in order to tackle intractable problems such as disparities in health-care access and outcomes and translate these results into practice. Specifically, the CBPR PBRN approach can: (1) guide the research process so that studies more closely match the needs of all stakeholders (including providers, patients and community members); (2) assist in the development of the research protocol and identification of research methodologies so that the study is more amenable to participants; (3) facilitate recruitment of research participants; (4) enrich the data collection and analysis; and (5) allow rapid translation of results from the study back into clinical practice and the community. Once these mechanisms have been clearly elucidated, their widespread adoption will positively impact overall health at both a local and national level.

Assessing the relationship between the level of pain control and patient satisfaction

Purpose The primary assessment tool used by hospitals to measure the outcomes of pain management programs is the 0–10 numerical pain rating scale. However, it is unclear if this assessment should be used as the sole indicator of positive outcomes by pain management programs. Although it is assumed that pain intensity scores would be correlated with patient satisfaction, few studies have evaluated the association between pain intensity scores and patient satisfaction. Methods In this pilot study, we investigated the relationship between pain intensity and patient satisfaction by evaluating 88 patients who received opioid analgesics at a 1018-bed acute care institution. A 14-question survey was adapted from a questionnaire developed by the American Pain Society to assess patient pain control and overall satisfaction with our institution’s pain management strategies. Results This study found no association between pain intensity score and patient satisfaction with overall pain management (Spearman’s rank correlation coefficient = −0.31; 95% confidence interval = −0.79 to 0.39). The majority of the surveyed patients were satisfied or very satisfied with their overall pain management, regardless of their pain intensity score. Conclusion These findings contribute to the general understanding that institutions should use pain intensity scores together with a measure of patient pain satisfaction when assessing regulatory and quality control programs.

Comparative effectiveness of asthma interventions within a practice based research network

BackgroundAsthma is a chronic lung disease that affects more than 23 million people in the United States, including 7 million children. Asthma is a difficult to manage chronic condition associated with disparities in health outcomes, poor medical compliance, and high healthcare costs. The research network coordinating this project includes hospitals, urgent care centers, and outpatient clinics within Carolinas Healthcare System that share a common electronic medical record and billing system allowing for rapid collection of clinical and demographic data. This study investigates the impact of three interventions on clinical outcomes for patients with asthma. Interventions are: an integrated approach to care that incorporates asthma management based on the chronic care model; a shared decision making intervention for asthma patients in underserved or disadvantaged populations; and a school based care approach that examines the efficacy of school-based programs to impact asthma outcomes including effectiveness of linkages between schools and the healthcare providers.Methods/DesignThis study will include 95 Practices, 171 schools, and over 30,000 asthmatic patients. Five groups (A-E) will be evaluated to determine the effectiveness of three interventions. Group A is the usual care control group without electronic medical record (EMR). Group B practices are a second control group that has an EMR with decision support, asthma action plans, and population reports at baseline. A time delay design during year one converts practices in Group B to group C after receiving the integrated approach to care intervention. Four practices within Group C will receive the shared decision making intervention (and become group D). Group E will receive a school based care intervention through case management within the schools. A centralized database will be created with the goal of facilitating comparative effectiveness research on asthma outcomes specifically for this study. Patient and community level analysis will include results from patient surveys, focus groups, and asthma patient density mapping. Community variables such as income and housing density will be mapped for comparison. Outcomes to be measured are reduced hospitalizations and emergency department visits; improved adherence to medication; improved quality of life; reduced school absenteeism; improved self-efficacy and improved school performance.DiscussionIdentifying new mechanisms that improve the delivery of asthma care is an important step towards advancing patient outcomes, avoiding preventable Emergency Department visits and hospitalizations, while simultaneously reducing overall healthcare costs.

Using Geographic Information Systems (GIS) to Understand a Community's Primary Care Needs

Introduction: A key element for reducing health care costs and improving community health is increased access to primary care and preventative health services. Geographic information systems (GIS) have the potential to assess patterns of health care utilization and community-level attributes to identify geographic regions most in need of primary care access. Methods: GIS, analytical hierarchy process, and multiattribute assessment and evaluation techniques were used to examine attributes describing primary care need and identify areas that would benefit from increased access to primary care services. Attributes were identified by a collaborative partnership working within a practice-based research network using tenets of community-based participatory research. Maps were created based on socioeconomic status, population density, insurance status, and emergency department and primary care safety-net utilization. Results: Individual and composite maps identified areas in our community with the greatest need for increased access to primary care services. Conclusions: Applying GIS to commonly available community- and patient-level data can rapidly identify areas most in need of increased access to primary care services. We have termed this a Multiple Attribute Primary Care Targeting Strategy. This model can be used to plan health services delivery as well as to target and evaluate interventions designed to improve health care access.

Use of community-based participatory research in primary care to improve healthcare outcomes and disparities in care

Community-based participatory research (CBPR) has emerged to bridge the gap between research and primary-care practice through community engagement and social action to increase health equity. It is widely acknowledged that access to high-quality primary care services is important to the overall health of a community. Here, CBPR studies in a primary care setting are reviewed to assess the use of CBPR associated with common health problems seen in primary care such as access to care and disparities in chronic disease management across vulnerable populations. CBPR involves building relationships with local communities, determining areas of need and establishing priorities for health concerns. Studies showing improved access to care for a Hispanic population, reduced asthma symptoms and weight loss are highlighted.

Adapting community based participatory research (CBPR) methods to the implementation of an asthma shared decision making intervention in ambulatory practices

Abstract Objective: Translating research findings into clinical practice is a major challenge to improve the quality of healthcare delivery. Shared decision making (SDM) has been shown to be effective and has not yet been widely adopted by health providers. This paper describes the participatory approach used to adapt and implement an evidence-based asthma SDM intervention into primary care practices. Methods: A participatory research approach was initiated through partnership development between practice staff and researchers. The collaborative team worked together to adapt and implement a SDM toolkit. Using the RE-AIM framework and qualitative analysis, we evaluated both the implementation of the intervention into clinical practice, and the level of partnership that was established. Analysis included the number of adopting clinics and providers, the patients’ perception of the SDM approach, and the number of clinics willing to sustain the intervention delivery after 1 year. Results: All six clinics and physician champions implemented the intervention using half-day dedicated asthma clinics while 16% of all providers within the practices have participated in the intervention. Themes from the focus groups included the importance of being part the development process, belief that the intervention would benefit patients, and concerns around sustainability and productivity. One year after initiation, 100% of clinics have sustained the intervention, and 90% of participating patients reported a shared decision experience. Conclusions: Use of a participatory research process was central to the successful implementation of a SDM intervention in multiple practices with diverse patient populations.

Obesity and asthma: Pathophysiology and implications for diagnosis and management in primary care

The effects of obesity on asthma diagnosis, control, and exacerbation severity are increasingly recognized; however, the underlying pathophysiology of this association is poorly understood. Mainstream clinical practice has yet to adopt aggressive management of obesity as a modifiable risk factor in asthma care, as is the case with a risk factor like tobacco or allergen exposure. This review summarizes existing data that support the pathophysiologic mechanisms underlying the association between obesity and asthma, as well as the current and future state of treatment for the obese patient with asthma. Our review suggests that evidence of chronic inflammatory response linking obesity and asthma indicates a need to address obesity during asthma management, possibly using patient-centered approaches such as shared decision making. There is a need for research to better understand the mechanisms of asthma in the obese patient and to develop new therapies specifically targeted to this unique patient population.

Geographic Information Systems (GIS) Demonstrating Primary Care Needs for a Transitioning Hispanic Community

Background: Hispanics are the largest and fastest growing minority group in the United States. Charlotte, NC, had the 4th fastest growing Hispanic community in the nation between 1990 to 2000. Gaining understanding of the patterns of health care use for this changing population is a key step toward designing improved primary care access and community health. Methods: The Multiple Attribute Primary Care Targeting Strategy process was applied to key patient- and community-level attributes describing the Charlotte Hispanic community. Maps were created based on socioeconomic status, population density, insurance status, and use of the emergency department as a primary care safety net. Each of these variables was weighed and added to create a single composite map. Results: Individual attribute maps and the composite map identified geographic locations where Hispanic community members would most benefit from increased access to primary care services. Conclusions: Using the Multiple Attribute Primary Care Targeting Strategy process we were able to identify geographic areas within our community where many Hispanic immigrants face barriers to accessing appropriate primary care services. These areas can subsequently be targeted for interventions that improve access to primary care and reduce emergency department use. The geospatial model created through this process can be monitored over time to determine the effectiveness of these interventions.

Multidisciplinary Team Approach to Improved Chronic Care Management for Diabetic Patients in an Urban Safety Net Ambulatory Care Clinic

Since the care of patients with multiple chronic diseases such as diabetes and depression accounts for the majority of health care costs, effective team approaches to managing such complex care in primary care are needed, particularly since psychosocial and physical disorders coexist. Uncontrolled diabetes is a leading health risk for morbidity, disability and premature mortality with between 18–31% of patients also having undiagnosed or undertreated depression. Here we describe a team driven approach that initially focused on patients with poorly controlled diabetes (A1c > 9) that took place at a family medicare office. The team included: resident and faculty physicians, a pharmacist, social worker, nurses, behavioral medicine interns, office scheduler, and an information technologist. The team developed immediate integrative care for diabetic patients during routine office visits.

A trans-disciplinary approach to the evaluation of social determinants of health in a hispanic population

BackgroundIndividual and community health are adversely impacted by disparities in health outcomes among disadvantaged and vulnerable populations. Understanding the underlying causes for variations in health outcomes is an essential step towards developing effective interventions to ameliorate inequalities and subsequently improve overall community health. Working at the neighborhood scale, this study examines multiple social determinates that can cause health disparities including low neighborhood wealth, weak social networks, inadequate public infrastructure, the presence of hazardous materials in or near a neighborhood, and the lack of access to primary care services. The goal of this research is to develop innovative and replicable strategies to improve community health in disadvantaged communities such as newly arrived Hispanic immigrants.Methods/designThis project is taking place within a primary care practice-based research network (PBRN) using key principles of community-based participatory research (CBPR). Associations between social determinants and rates of hospitalizations, emergency department (ED) use, and ED use for primary care treatable or preventable conditions are being examined. Geospatial models are in development using both hospital and community level data to identify local areas where interventions to improve disparities would have the greatest impact. The developed associations between social determinants and health outcomes as well as the geospatial models will be validated using community surveys and qualitative methods. A rapidly growing and underserved Hispanic immigrant population will be the target of an intervention informed by the research process to impact utilization of primary care services and designed, deployed, and evaluated using the geospatial tools and qualitative research findings. The purpose of this intervention will be to reduce health disparities by improving access to, and utilization of, primary care and preventative services.DiscussionThe results of this study will demonstrate the importance of several novel approaches to ameliorating health disparities, including the use of CBPR, the effectiveness of community-based interventions to influence health outcomes by leveraging social networks, and the importance of primary care access in ameliorating health disparities.