Gina A. Keppel

A Qualitative Study of Depression in Primary Care: Missed Opportunities for Diagnosis and Education

Purpose: Depression is one of the most commonly encountered chronic conditions in primary care, yet it remains substantially underdiagnosed and undertreated. We sought to gain a better understanding of barriers to diagnosis of and entering treatment for depression in primary care. Methods: We conducted and analyzed interviews with 15 subjects currently being treated for depression recruited from primary care clinics in an academic medical center and an academic public hospital. We asked about experiences with being diagnosed with depression and starting treatment, focusing on barriers to diagnosis, subject understanding of depression, and information issues related to treatment decisions. Results: Subjects reported many visits to primary care practitioners without the question of depression being raised. The majority had recurrent depression. Many reported that they did not receive enough information about depression and its treatment options. In the majority of cases, practitioners decided the course of treatment with little input from the patients. Conclusions: In this sample of depressed patients, we found evidence of frequent missed diagnoses, substantial information gaps, and limited patient understanding and choice of treatment options. Quality improvement efforts should address not only screening and follow-up but patient education about depression and treatment options along with elicitation of treatment preferences.

Use of mobile health (mHealth) tools by primary care patients in the WWAMI region Practice and Research Network (WPRN).

Purpose: The purpose of this study was to determine the prevalence of mobile health (mHealth) use among primary care patients and examine demographic and clinical correlates. Methods: Adult patients who presented to 1 of 6 primary care clinics in a practice-based research network in the northwest United States during a 2-week period received a survey that assessed smartphone ownership; mHealth use; sociodemographic characteristics (age, sex, race/ethnicity, health literacy); chronic conditions; and depressive symptoms (2-item Patient Health Questionnaire). Data analysis used descriptive statistics and mixed logistic regression. Results: Of 918 respondents (estimated response rate, 67.4%), 55% owned a smartphone, among whom 70% were mHealth users. In multivariate analyses, smartphone ownership and mHealth use were not associated with health literacy, chronic conditions, or depression but were less common among adults >45 years old (adjusted odds ratio, 0.07–0.39; P < .001). Only 10% of patients learned about mHealth tools from their physician, and few (31%) prioritized their providers involvement. Conclusions: Use of mHealth technologies is lower among older adults but otherwise is common among primary care patients, including those with limited health literacy and those with chronic conditions. Findings support the potential role of mHealth in improving disease management among certain groups in need; however, greater involvement of health care providers may be important for realizing this potential.

Exploring the barriers and facilitators to use of point of care tests in family medicine clinics in the United States.

BackgroundPoint-of-care tests (POCTs) are increasingly used in family medicine clinics in the United States. While the diagnostics industry predicts significant growth in the number and scope of POCTs deployed, little is known about clinic-level attitudes towards implementation of these tests. We aimed to explore attitudes of primary care providers, laboratory and clinic administrative/support staff to identify barriers and facilitators to use of POCTs in family medicine.MethodsSeven focus groups and four semi-structured interviews were conducted with a total of 52 clinic staff from three family medicine clinics in two US states. Qualitative data from this exploratory study was analyzed using the constant comparison method.ResultsFive themes were identified which included the impact of POCTs on clinical decision-making; perceived inaccuracy of POCTs; impact of POCTs on staff and workflow; perceived patient experience and patient-provider relationship, and issues related to cost, regulation and quality control. Overall, there were mixed attitudes towards use of POCTs. Participants believed the added data provided by POCT may facilitate prompt clinical management, diagnostic certainty and patient-provider communication.Perceived barriers included inaccuracy of POCT, shortage of clinic staff to support more testing, and uncertainty about their cost-effectiveness.ConclusionsThe potential benefits of using POCTs in family medicine clinics are countered by several barriers. Clinical utility of many POCTs will depend on the extent to which these barriers are addressed. Engagement between clinical researchers, industry, health insurers and the primary care community is important to ensure that POCTs align with clinic and patient needs.

Developing a Practice-Based Research Network by Integrating Quality Improvement: Challenges and Ingredients for Success

Improving patient outcomes in community‐based settings is the goal of both the Clinical Translational Science Award program and practice‐based quality improvement (QI) programs. Given this common goal, integrating QI and outcomes research is a promising strategy for developing, implementing, and evaluating clinical interventions. This article describes the challenges and strengths illuminated by the conduct of a combined research/QI study in a nascent practice‐based research network. Challenges include researchs exclusion of clinic patients who might benefit from the intervention; QI programs’ less uniform approach to intervention implementation; and the need for both academic and clinically relevant products and publications. A major strength is the increased likelihood of both engaging clinical practices in research and developing successful clinical interventions. Required elements for success include identification of enthusiastic clinical research “champions,” involvement of researchers with clinical experience, and adequate funding to support both research and clinical resources and dissemination. Combined Ql/research projects in the practice‐based research environment have the potential to improve and shorten the cycle from good idea to improved clinical outcomes in real‐world settings. Clin Trans Sci 2012; Volume 5: 351–355

Qualitative study of primary care clinicians’ views on point-of-care testing for C-reactive protein for acute respiratory tract infections in family medicine

Objective To explore clinicians views of the barriers and facilitators to use of C-reactive protein (CRP) point-of-care tests (POCT) in US family medicine clinics for the management of acute respiratory tract infections (ARTIs) in adults. Setting Five family medicine clinics across two US states. Participants 30 clinicians including 18 physicians, 9 physician residents, 2 physician assistants and 1 nurse practitioner, took part in the study. Design A qualitative study using a grounded theory approach to thematically analyse focus group interviews. Results These clinicians had limited access to diagnostic tests for patients with ARTI, and very little knowledge of CRP POCT. Three major themes were identified and included the potential clinical role of CRP POCT, concerns related to implementing CRP POCT and evidence needed prior to wider adoption in family medicine. Clinicians believed CRP POCT could support decision-making for some presentations of ARTIs and patient populations when used in conjunction with clinical criteria. Clinicians had concerns about possible overuse and inaccuracy of CRP POCT which they believed might increase antibiotic prescribing rates. Other concerns identified included integration of the test with clinic workflows and cost-effectiveness. Conclusions Clinicians stand at the forefront of antibiotic stewardship efforts, but have few diagnostic tests to help them confidently manage ARTIs. CRP POCT may facilitate some aspects of clinical practice. Incorporating CRP POCT with clinical guidelines may strengthen utility of this test, when there is diagnostic uncertainty.

Extracting Electronic Health Record Data in a Practice-Based Research Network: Lessons Learned from Collaborations with Translational Researchers

Context: The widespread adoption of electronic health records (EHRs) offers significant opportunities to conduct research with clinical data from patients outside traditional academic research settings. Because EHRs are designed primarily for clinical care and billing, significant challenges are inherent in the use of EHR data for clinical and translational research. Efficient processes are needed for translational researchers to overcome these challenges. The Data QUEST Coordinating Center (DQCC), which oversees Data QUEST – a primary care EHR data sharing infrastructure – created processes that that guide EHR data extraction for clinical and translational research across these diverse practices. We describe these processes and their application in a case example. Case Description: The DQCC process for developing EHR data extractions not only supports researchers access to EHR data, but supports this access for the purpose of answering scientific questions. This process requires complex coordination across multiple domains, including: 1) understanding the context of EHR data; 2) creating and maintaining a governance structure to support exchange of EHR data; and 3) defining data parameters that are used in order to extract data from the EHR.1,2,3,4 We use the Northwest-Alaska Pharmacogenomics Research Network (NWA-PGRN) as a case example that focuses on pharmacogenomic discovery and clinical applications to describe the DQCC process. The NWA-PGRN collaborates with Data QUEST to explore ways to leverage primary care EHR data to support pharmacogenomics research. Findings: Preliminary analysis on the case example shows that initial decisions about how researchers define the study population can influence study outcomes. Major Themes and Conclusions: The experience of the DQCC demonstrates that Coordinating Centers provide expertise in helping researchers understand the context of EHR data, create and maintain governance structures, and guide the definition of parameters for data extractions. This expertise is critical to support research with EHR data. Replication of these strategies through Coordinating Centers may lead to more efficient translational research. Investigators must also consider the impact of initial decisions in defining study groups that may potentially affect outcomes. Acknowledgements We acknowledge the Northwest Alaska Pharmacogenomics Research Network group for supporting the infrastructure and data collection, and Imara West for her assistance in data cleaning and analysis. This project was funded by the National Institute of General Medical Science (U01 GM092676) and the National Center for Advancing Translational Sciences of the National Institutes of Health (UL1TR000423). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of HealthContext: The widespread adoption of electronic health records (EHRs) offers significant opportunities to conduct research with clinical data from patients outside traditional academic research settings. Because EHRs are designed primarily for clinical care and billing, significant challenges are inherent in the use of EHR data for clinical and translational research. Efficient processes are needed for translational researchers to overcome these challenges. The Data QUEST Coordinating Center (DQCC), which oversees Data Query Extraction Standardization Translation (Data QUEST) – a primary-care, EHR data-sharing infrastructure – created processes that guide EHR data extraction for clinical and translational research across these diverse practices. We describe these processes and their application in a case example. Case Description: The DQCC process for developing EHR data extractions not only supports researchers’ access to EHR data, but supports this access for the purpose of answering scientific questions. This process requires complex coordination across multiple domains, including the following: (1) understanding the context of EHR data; (2) creating and maintaining a governance structure to support exchange of EHR data; and (3) defining data parameters that are used in order to extract data from the EHR. We use the Northwest-Alaska Pharmacogenomics Research Network (NWA-PGRN) as a case example that focuses on pharmacogenomic discovery and clinical applications to describe the DQCC process. The NWA-PGRN collaborates with Data QUEST to explore ways to leverage primary-care EHR data to support pharmacogenomics research. Findings: Preliminary analysis on the case example shows that initial decisions about how researchers define the study population can influence study outcomes. Major Themes and Conclusions: The experience of the DQCC demonstrates that coordinating centers provide expertise in helping researchers understand the context of EHR data, create and maintain governance structures, and guide the definition of parameters for data extractions. This expertise is critical to supporting research with EHR data. Replication of these strategies through coordinating centers may lead to more efficient translational research. Investigators must also consider the impact of initial decisions in defining study groups that may potentially affect outcomes.

Primary Care Patients' Willingness to Participate in Comprehensive Weight Loss Programs: From the WWAMI Region Practice and Research Network

Purpose: In the United States, 69% of adults are overweight or obese, as defined by a body mass index (BMI) ≥25 kg/m2. The US Preventive Services Task Force recommends screening all adult patients for obesity and referring obese patients to intensive, multicomponent behavioral weight loss programs comprising 12 to 26 yearly sessions. The objective of this study is to determine the degree to which overweight and obese primary care patients report willingness to participate in these intensive weight loss programs and to identify the patient factors associated with reported willingness to participate. Methods: This 2013 cross-sectional survey was offered to all adult patients seen for an office visit at 1 of 12 primary care clinics in the Washington, Wyoming, Alaska, Montana and Idaho (WWAMI) Region Practice and Research Network (WPRN). Patients self-reported both their health information and their willingness to participate in a comprehensive weight loss program. Respondents were characterized by descriptive statistics. We compared reported rates of willingness to participate by patient factors and assessed which patient factors were independently associated with reported willingness using bivariate analysis and logistic regression, respectively. Results: Of overweight and obese respondents, 63% reported willingness to participate in comprehensive weight loss programs. Age, sex, race/ethnicity, insurance status, BMI, and reason for wanting to lose weight were all significantly and independently associated with reported willingness to participate. Conclusions: Reported willingness to participate in comprehensive weight loss programs suggests that additional resources are needed to understand strategies for disseminating and implementing effective comprehensive weight loss programs.

Using the diffusion of innovations theory to assess socio-technical factors in planning the implementation of an electronic health record alert across multiple primary care clinics

Background Adverse drug events (ADEs) are a leading cause of death in the United States. Patients with stage 3 and 4 chronic kidney disease (CKD) are at particular risk because many medications are cleared by the kidneys. Alerts in the electronic health record (EHR) about drug appropriateness and dosing at the time of prescription have been shown to reduce ADEs for patients with stage 3 and 4 CKD in inpatient settings, but more research is needed about the implementation and effectiveness of such alerts in outpatient settings. Objective To explore factors that might inform the implementation of an electronic drug–disease alert for patients with CKD in primary care clinics, using Rogers’ diffusion of innovations theory as an analytic framework. Methods Interviews were conducted with key informants in four diverse clinics using various EHR systems. Interviews were audio recorded and transcribed. Results Although all clinics had a current method for calculating glomerular filtration rate (GFR), clinics were heterogeneous with regard to current electronic decision support practices, quality improvement resources, and organizational culture and structure. Conclusion Understanding variation in organizational culture and infrastructure across primary care clinics is important in planning implementation of an intervention to reduce ADEs among patients with CKD.

Implementation of a health data-sharing infrastructure across diverse primary care organizations

Practice-based research networks bring together academic researchers and primary care clinicians to conduct research that improves health outcomes in real-world settings. The Washington, Wyoming, Alaska, Montana, and Idaho region Practice and Research Network implemented a health data-sharing infrastructure across 9 clinics in 3 primary care organizations. Following implementation, we identified challenges and solutions. Challenges included working with diverse primary care organizations, adoption of health information data-sharing technology in a rapidly changing local and national landscape, and limited resources for implementation. Overarching solutions included working with a multidisciplinary academic implementation team, maintaining flexibility, and starting with an established network for primary care organizations. Approaches outlined may generalize to similar initiatives and facilitate adoption of health data sharing in other practice-based research networks.

Contraceptive Methods and Informed Consent among Women Receiving Medications with Potential for Adverse Fetal Effects: A Washington, Wyoming, Alaska, Montana, Idaho (WWAMI) Region Study

Background: Increasing diabetes, hypertension, and hypercholesterolemia rates expose some young women to medications with potential adverse fetal effects, such as angiotensin-converting enzyme inhibitors (ACE-Is), angiotensin receptor blockers (ARBs), and statins. This study examined whether quality improvement (QI) interventions promote informed consent and contraception to minimize risks with use of ACE-I/ARB/statins. Methods: This longitudinal cohort study at 7 clinics abstracted medical records of 328 women aged 18 to 44 with ≥1 prescription for ACE-I/ARB/statins and ≥1 visit for hypertension, diabetes, or hypercholesterolemia during the previous year. We measured informed consent documentation and contraceptive methods before and after QI interventions in which providers contacted their patients to discuss medication risks and benefits. Results: Of 179 women who were not surgically sterilized, only 11.7% had documented informed consent related to the risks of ACE-I/ARB/statin use. One hundred fifty-eight women were eligible for the QI intervention (not surgically sterilized, no documented informed consent); only 76 (48.1%) received the intervention. Before the intervention, 23.7% of these 76 were “at risk” of an adverse fetal effect. After the intervention, only 7.9% (P ≤ .001) were “at risk” because some women started contraception, discontinued ACE-I/ARB/statins, or changed drug class. Conclusions: Women prescribed ACE-I/ARB/statins were not consistently using contraception or were not consistently informed of the risks. Provider-implemented QI interventions improved care but were difficult to accomplish, suggesting that new interventions are needed.