Clinical Interviewing: An Essential but Neglected Method of Medicine.

Clinical interviewing is the basic method to understand how a person feels and what are the presenting complaints, obtain medical history, evaluate personal attitudes and behavior related to health and disease, give the patient information about diagnosis, prognosis, and treatment, and establish a bond between patient and physician that is crucial for shared decision making and self-management. However, the value of this basic skill is threatened by time pressures and emphasis on technology. Current health care trends privilege expensive tests and procedures and tag the time devoted to interaction with the patient as lacking cost-effectiveness. Instead, the time spent to inquire about problems and life setting may actually help to avoid further testing, procedures, and referrals. Moreover, the dialogue between patient and physician is an essential instrument to increase patient's motivation to engage in healthy behavior. The aim of this paper was to provide an overview of clinical interviewing and its optimal use in relation to style, flow and hypothesis testing, clinical domains, modifications according to settings and goals, and teaching. This review points to the primacy of interviewing in the clinical process. The quality of interviewing determines the quality of data that are collected and, eventually, of assessment and treatment. Thus, interviewing deserves more attention in educational training and more space in clinical encounters than it is currently receiving.

Drivers of telemedicine in primary care clinics at a large academic medical centre.

BACKGROUND: COVID-19 disrupted healthcare routines and prompted rapid telemedicine implementation. We investigated the drivers of visit modality selection (telemedicine versus in-person) in primary care clinics at an academic medical centre. METHODS: We used electronic medical record data from March 2020 to May 2022 from 13 primary care clinics (N = 21,031 new, N = 207,292 return visits), with 55% overall telemedicine use. Hierarchical logistic regression and cross-validation methods were used to estimate the variation in visit modality explained by the patient, clinician and visit factors as measured by the mean-test area under the curve (AUC). RESULTS: There was significant variation in telemedicine use across clinicians (ranging from 0-100%) for the same visit diagnosis. The strongest predictors of telemedicine were the clinician seen for new visits (mean AUC of 0.79) and the primary visit diagnosis for return visits (0.77). Models based on all patient characteristics combined accounted for relatively little variation in modality selection, 0.54 for new and 0.58 for return visits, respectively. Amongst patient characteristics, males, patients over 65 years, Asians and patient's with non-English language preferences used less telemedicine; however, those using interpreter services used significantly more telemedicine. CONCLUSION: Clinician seen and primary visit diagnoses were the best predictors of visit modality. The distinction between new and return visits and the minimal impact of patient characteristics on visit modality highlights the complexity of clinical care and warrants research approaches that go beyond linear models to uncover the emergent causal effects of specific technology features mediated by tasks, people and organisations.

Workforce Development to Improve Access to Pain Care for Veterans: A Qualitative Analysis of VA-ECHO Participant Experiences.

Background/Objective: The prevalence of chronic pain and its links to the opioid epidemic have given way to widespread aims to improve pain management care and reduce opioid use, especially in rural areas. Pain Management Specialty Care Access Network-Extension for Community Health Outcomes (VA-ECHO) promotes increased pain care access to rural Veterans through knowledge sharing from specialists to primary care providers (PCPs). We explored PCP participants' experiences in VA-ECHO and pain management care. Methods: This qualitative study is based on a descriptive secondary analysis of semi-structured interviews (n = 10) and 3 focus groups with PCPs participating in VA-ECHO from 2017-2019. A rapid matrix analysis approach was used to analyze participants' responses. Results: VA-ECHO was an effective workforce development strategy for meeting PCPs' training needs by providing pain management knowledge and skills training (eg alternative care approaches and communicating treatment options). Having protected time to participate in VA-ECHO was a challenge for many PCPs, mitigated by leadership and administrative support. Participants who volunteer to participate had more positive experiences than those required to attend. Conclusions: VA-ECHO could be used for meeting the workforce development needs of PCPs. Respondents were satisfied with the program citing improvement in their practice and increased confidence in providing pain management care to Veterans despite some challenges to participation. These findings offer insight into using VA-ECHO to meet the VHA's workforce development to improve Veterans' access to pain management care. The ECHO model presents opportunities for workforce development in large complex healthcare systems and garnering ongoing support for this training model is necessary for promoting workforce development for PCPs.

Back to basics for curricular development: A proposed framework for thinking about how interprofessional learning occurs.

The persistent difficulty of defining the mechanisms of interprofessional learning that can lead to collaborative behavior poses a challenge to evidence-based curricular design. To begin the process of building a framework for curricular development we used an inductive approach to better understand the lived experience of students engaged in an interprofessional activity. Utilizing methods from grounded theory, we analyzed reflective essays from an interprofessional classroom-based workshop for early learners at Case Western Reserve University. Students from four professional schools (medicine, nursing, social work, and dentistry) participated in facilitator guided small groups for an interactive, case-based, tabletop simulation workshop. Written reflections (N = 245) were collected, and a coding scheme was iteratively developed through constant comparison analysis in the review of a random subsample of essays (n = 19), and saturation was achieved in the second subset (n = 15). Second-order themes and four aggregate dimensions arose from the data. Aggregate dimensions were integrated into a proposed framework for the interprofessional learning process, including factors identified as necessary for the learning to occur. In this report, we describe the development of this preliminary framework, examine its components, and demonstrate potential utility in relation to established theory and research.

Association of Serious Hypoglycemic Events in Older Adults With Changes in Glycemic Performance Measures.

BACKGROUND: Reducing serious hypoglycemic events is a Federal-wide objective. Despite studies of trends for rates of serious hypoglycemia in existing literature, rigorous evaluation of links between the observed trends and changes in professional guidelines or performance measures for glycemic control is lacking. OBJECTIVE: To evaluate whether changes in professional society guidelines and performance measures for glycemic control correspond to changes in rates of serous hypoglycemia. RESEARCH DESIGN: This was a retrospective observational study. We merged Veterans Health Administration (VHA) and Medicare patient-level databases of VHA patients and identified those aged 65 years and above and receiving hypoglycemic agents. We derived age-adjusted and sex-adjusted annual rates and constructed piecewise Poisson regression models adjusting for age and sex to assess time trends of the rates. SUBJECTS: VHA patients, 2002-2015. MEASURES: The main outcome was the annual rates (2004-2015) of serious hypoglycemia, defined as hypoglycemia-related emergency department visits or hospitalizations. Secondary outcomes were annual rates of hemoglobin (Hb) A1c level <7% and >9%. Age and sex were additional variables. RESULTS: The annual rate for hypoglycemia decreased by 4.8% (rate ratio: 0.952; 95% confidence interval, 0.949-0.956) for 2008-2015 but did not change (1.001; 0.994-1.001) in 2004-2008. In 2008-2015, the annual rate for HbA1c <7% decreased by 5.0% (0.950; 0.949-0.951) but for HbA1c >9%, increased by 7.9% (1.079; 1.076-1.082). CONCLUSION: The cooccurrence of decreasing rates for HbA1c<7% and serious hypoglycemia since 2008 supports the possibility that withdrawal of a <7% HbA1c measure in 2008 impacted clinical practice and patient outcomes.

Management of diabetes in elderly patients during the COVID-19 pandemic: current and future perspectives.

Introduction: The COVID-19 pandemic has affected the entire population with the most deleterious effects in elders. Elders, especially those with diabetes, are at the highest risk of COVID-19 related adverse outcomes and mortality. This is usually linked to the comorbidities that accumulate with age, diabetes-related chronic inflammation, and the pandemic's psychosocial effects.Areas covered: We present some approaches to manage these complicated elderly patients with diabetes during the COVID-19 pandemic. In the inpatient setting, we suggest similar (pre-pandemic) glycemic targets and emphasize the importance of using IV insulin and possible use of continuous glucose monitoring to reduce exposure and PPE utilization. Outside the hospital, we recommend optimal glycemic control within the limits imposed by considerations of safety. We also describe the advantages and challenges of using various technological platforms in clinical care.Expert opinion: The COVID-19 pandemic has lifted the veil off serious deficiencies in the infrastructures for care at both the individual level and the population level and also highlighted some of the strengths, all of which affect individuals with diabetes and COVID-19. We anticipate that things will not return to 'normal' after the COVID-19 pandemic has run its course, but rather they will be superseded by 'New Normal.'

Inequities in access to VA'S aid and attendance enhanced pension benefit to help Veterans pay for long-term care.

OBJECTIVE: To examine characteristics that are associated with receipt of Aid and Attendance (A&A), an enhanced pension benefit for Veterans who qualify on the basis of needing daily assistance, among Veterans who receive pensions. DATA SOURCES: Secondary data analysis of 2016-2017 national VA administrative data linked with Medicare claims. STUDY DESIGN: Observational study examining sociodemographic, medical, and healthcare utilization characteristics associated with receipt of A&A among Veterans receiving pension. PRINCIPAL FINDINGS: In 2017, 9.7% of Veterans with pension newly received the A&A benefit. The probability of receiving A&A among black and Hispanic pensioners was 4.6 percentage points lower than for white pensioners (95%CI = -0.051, -0.042). Married Veterans receiving pension had a 4.4-percentage point higher probability of receiving A&A (95%CI = 0.039, 0.048). Most indicators of need for assistance (eg, home health utilization, dementia, stroke) were associated with significantly higher probabilities of receiving A&A, with notable exceptions: pensioners with a diagnosis of Post-Traumatic Stress Disorder (marginal effect = -0.029 95%CI = -0.037, -0.021) or enrolled in Medicaid (marginal effect = -0.053, 95%CI = -0.057, -0.050) had lower probabilities of receiving A&A. Unadjusted and adjusted rates of receiving A&A among Veterans receiving pension varied by VA medical center. CONCLUSIONS: This study identified potential inequities in receipt of the A&A enhanced pension among a sample of Veterans receiving pension. Increased Veteran outreach, provider education, and VA office coordination can potentially reduce inequities in access to this benefit.

The interprofessional VA quality scholars program: Promoting predoctoral nursing scientists and their career trajectories.

BACKGROUND: The VA Quality Scholars (VAQS) program is an interprofessional fellowship that provides a unique opportunity for predoctoral nurse scientists to embed their work in quality improvement learning "laboratories" to inform their scholarship, science, and research. PURPOSE: To describe the VAQS program in relation to promoting nursing science and predoctoral nurse scientist (PhD) career trajectories, and to propose policy implications. METHOD: Data were collected on all predoctoral (PhD, DNP) nurses who entered and completed the VAQS program nationally. FINDINGS: A total of 17 predoctoral nurses (11 PhD and 6 DNP) have completed the VAQS program. Ten predoctoral PhD nurses (91%) completed their degree while in the program. Nine predoctoral PhD nurses (82%) entered a postdoctoral fellowship, and many obtained positions as faculty at research-intensive universities postfellowship. DISCUSSION: The knowledge, skills, and experiences gained by predoctoral nurse scientists from the VAQS's program contribute to their nursing research and professional career growth.

A Qualitative Evaluation of the Pain Management VA-ECHO Program Using the RE-AIM Framework: The Participant's Perspective.

Introduction: Veterans frequently seek chronic pain care from their primary care providers (PCPs) who may not be adequately trained to provide pain management. To address this issue the Veterans Health Administration (VHA) Office of Specialty Care adopted the Specialty Care Access Network Extension for Community Healthcare Outcomes (VA-ECHO née SCAN-ECHO). The VA-ECHO program offered training and mentoring by specialists to PCPs and their staff. VA-ECHO included virtual sessions where expertise was shared in two formats: (1) didactics on common pain conditions, relevant psychological disorders, and treatment options and (2) real-time consultation on patient cases. Materials and methods: VA-ECHO participants' perspectives were obtained using a semi-structured interview guide designed to elicit responses based on the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework. A convenience sampling was used to recruit PCPs and non-physician support staff participants. Non-physicians from rural VHA sites were purposively sampled to gain diverse perspectives. Findings: This qualitative study yielded data on each RE-AIM domain except reach. Program reach was not measured as it is outside the scope of this study. Respondents reported program effectiveness as gains in knowledge and skills to improve pain care delivery. Effective incorporation of learning into practice was reflected in respondents' perceptions of improvements in: patient engagement, evidenced-based approaches, appropriate referrals, and opioid use. Program adoption included how participating health care systems selected trainees from a range of sites and roles to achieve a wide reach of pain expertise. Participation was limited by time to attend and facilitated by institutional support. Differences and similarities were noted in implementation between hub sites. Maintenance was revealed when respondents noted the importance of the lasting relationships formed between fellow participants. Discussion: This study highlights VA-ECHO program attributes and unintended consequences. These findings are expected to inform future use of VA-ECHO as a means to establish a supportive consultation network between primary and specialty care providers to promote the delivery evidence-based pain management practices.

The assessment and management of quality of life of older adults with diabetes mellitus.

Introduction: As the population ages, the number of older adults with diabetes mellitus will continue to rise. The burden of diabetes on older adults is significant due to the disease itself, its complications, and its treatments. This is compounded by geriatric syndromes such as frailty and cognitive dysfunction. Consequently, health and diabetes-related quality of life (QoL) are diminished.Areas covered: This article reviews the value of assessing QoL in providing patient-centered care and the associations between QoL measures and health outcomes. The determinants of QoL particular to diabetes and the older population are reviewed, including psychosocial, physical, and cognitive burdens of diabetes and aging and the impact of hypoglycemia on QoL. Strategies are described to alleviate these burdens and improve QoL, and barriers to multidisciplinary patient-centered care are discussed. QoL measurement instruments are reviewed.Expert opinion: The goals of treating diabetes and its complications should be considered carefully along with each patient's capacity to withstand the burdens of treatment. This capacity is reduced by socioeconomic, psychological, cognitive, and physical factors reduces this capacity. Incorporating measurement of HRQoL into clinical practices is possible, but deficiencies in the systems of health-care delivery need to be addressed to facilitate their use.

Racial differences in trends of serious hypoglycemia among higher risk older adults in US Veterans Health Administration, 2004-2015: Relationship to comorbid conditions, insulin use, and hemoglobin A1c level.

AIMS: To evaluate temporal trends in racial/ethnic groups in rates of serious hypoglycemia among higher risk patients dually enrolled in Veterans Health Administration and Medicare fee-for-service and assess the relationship(s) between hypoglycemia rates, insulin/secretagogues and comorbid conditions. METHODS: Retrospective observational serial cross-sectional design. Patients were ≥65 years receiving insulin and/or secretagogues. The primary outcome was the annual (period prevalence) rates (2004-2015), per 1000 patient years, of serious hypoglycemic events, defined as hypoglycemic-related emergency department visits or hospitalizations. RESULTS: Subjects were 77-83% White, 7-10% Black, 4-5% Hispanic, <2% women; 38-58% were ≥75 years old; 72-75% had ≥1 comorbidity. In 2004-2015, rates declined from 63.2 to 33.6(-46.9%) in Blacks; 29.7 to 20.3 (-31.6%) in Whites; and 41.8 to 29.6 (-29.3%) in Hispanics. The Black-White rate differences narrowed regardless of insulin use, hemoglobin A1c level, and frequency and various combinations of comorbid conditions. Among insulin users, the Black-White contrast decreased from 34.7 (98.5 vs. 63.8) in 2004 to 13.2 (43.6 vs. 30.4) in 2015; in non-insulin users, the contrast was 25.7 (44.1 vs. 18.4) in 2004 and 10.1 (18.9 vs. 8.8) in 2015. CONCLUSION: Marked declines in serious hypoglycemia events occurred across race, medications, and comorbidities, suggesting significant changes in clinical practice.

Coping with diabetes: Provider attributes that influence type 2 diabetes adherence.

Diabetes, a chronic disease affecting over 29 million people in the United States, requires the integration of complex medical tasks into a person's daily life. Patient-centered care and compassion are recognized as essential dimensions of the quality care experience. This research examined provider attributes that influence adherence to type 2 diabetes mellitus (T2DM) regimens and sought to understand the phenomena of provider attributes, treatment adherence, and their relationship to coping ability and treatment outcomes. This quantitative study sampled 474 people with T2DM using a 62-item online survey administered to three different groups. The sample population included people over age 18 diagnosed with T2DM. The first group included 91 persons with T2DM identified through a Facebook group and personal social media connections, the second group included 120 Amazon Mechanical Turk participants with T2DM, and the third group included 263 respondents from a Qualtrics panel who had T2DM. Results indicated that perceived provider compassion (ß = .41, ρ < .001) and optimism (ß = .48, ρ < .001) positively affected coping ability. Additionally, full mediation effects for self-management were revealed, with coping ability positively mediating the effect of compassion on self-management and the effects of optimism on self-management. Furthermore, full mediation effects were found for treatment satisfaction, with coping ability positively mediating the effect of compassion on treatment satisfaction and the effects of optimism on treatment satisfaction. This research has implications for patients, healthcare professionals, and leaders suggesting that providers who communicate with optimism and compassion positively affect coping ability. As a result, healthcare providers and professionals have an opportunity to enhance self-management adherence by helping their patients cope with the burdens of diabetes. In addition, this study has implications for developing provider communication tools aimed at assessing patients' coping capacity and increasing compassionate communication.

Health and Disease-Emergent States Resulting From Adaptive Social and Biological Network Interactions.

Health is an adaptive state unique to each person. This subjective state must be distinguished from the objective state of disease. The experience of health and illness (or poor health) can occur both in the absence and presence of objective disease. Given that the subjective experience of health, as well as the finding of objective disease in the community, follow a Pareto distribution, the following questions arise: What are the processes that allow the emergence of four observable states-(1) subjective health in the absence of objective disease, (2) subjective health in the presence of objective disease, (3) illness in the absence of objective disease, and (4) illness in the presence of objective disease? If we consider each individual as a unique biological system, these four health states must emerge from physiological network structures and personal behaviors. The underlying physiological mechanisms primarily arise from the dynamics of external environmental and internal patho/physiological stimuli, which activate regulatory systems including the hypothalamic-pituitary-adrenal axis and autonomic nervous system. Together with other systems, they enable feedback interactions between all of the person's system domains and impact on his system's entropy. These interactions affect individual behaviors, emotional, and cognitive responses, as well as molecular, cellular, and organ system level functions. This paper explores the hypothesis that health is an emergent state that arises from hierarchical network interactions between a person's external environment and internal physiology. As a result, the concept of health synthesizes available qualitative and quantitative evidence of interdependencies and constraints that indicate its top-down and bottom-up causative mechanisms. Thus, to provide effective care, we must use strategies that combine person-centeredness with the scientific approaches that address the molecular network physiology, which together underpin health and disease. Moreover, we propose that good health can also be promoted by strengthening resilience and self-efficacy at the personal and social level, and via cohesion at the population level. Understanding health as a state that is both individualized and that emerges from multi-scale interdependencies between microlevel physiological mechanisms of health and disease and macrolevel societal domains may provide the basis for a new public discourse for health service and health system redesign.

Impact of clinical training on recruiting graduating health professionals.

OBJECTIVES: Recruiting professional staff is an important business reason for hospitals allowing health trainees to engage in supervised patient care. Whereas prior studies have focused on educational institutions, this study focuses on teaching hospitals and whether trainees' clinical experiences affect their willingness to work (ie, recruitability) for the type of healthcare center where they trained. STUDY DESIGN: A pre-post, observational study based on Learners' Perceptions Survey data in which respondents served as their own controls. METHODS: Convenience sample of 15,207 physician, 11,844 nursing, and 13,012 associated health trainees who rotated through 1 of 169 US Department of Veterans Affairs (VA) medical centers between July 1, 2014, and June 30, 2017. Generalized estimating equations computed how clinical, learning, working, and cultural experiences influenced pre-post differences in willingness to consider VA for future employment. RESULTS: VA recruitability increased dramatically from 55% pretraining to 75% post training (adjusted odds ratio [OR], 2.1; 95% CI, 2.0-2.1; P <.001) in all 3 cohorts: physician (from 39% to 59%; OR, 1.6; 95% CI, 1.5-1.6; P <.001), nursing (from 61% to 84%; OR, 2.5; 95% CI, 2.4-2.6; P <.001), and associated health trainees (from 68% to 87%; OR, 2.7; 95% CI, 2.6-2.9; P <.001). For all trainees, changes in recruitability (P <.001) were associated with how trainees rated their clinical learning environment, personal experiences, and culture of psychological safety. Satisfaction ratings with faculty and preceptors (P <.001) were associated with positive changes in recruitability among nursing and associated health students but not physician residents, whereas nursing students who gave higher ratings for interprofessional team culture became less recruitable. CONCLUSIONS: Academic medical centers can attract their health trainees for future employment if they provide positive clinical, working, learning, and cultural experiences.

Balancing measures: identifying unintended consequences of diabetes quality performance measures in patients at high risk for hypoglycemia.

OBJECTIVE: To determine if changes in overtreatment rates were associated with changes in undertreatment rates. DESIGN: Pre-test/post-test study used cross-sectional administrative data from calendar years (CYs) 2013 and 2016. SETTING: The Veterans Health Administration. PARTICIPANTS: Patients with diabetes at risk for hypoglycemia (n = 171 875 and 166 703 in 2013 and 2016, respectively). INTERVENTION: Observational study of extant initiatives to reduce overtreatment. MAIN OUTCOME MEASURES: Overtreatment rate of diabetes defined at the proportion of patients in the group at high risk for hypoglycemia with A1c < 7.0%. Undertreatment defined as A1C > 9%. RESULTS: There was marked variation in overtreatment rates; for A1c < 7%, overtreatment rates ranged from 26.4% to 58.2% and 26.2% to 49.2% at the facility level in 2013 and 2016, respectively. The mean (±standard deviation (SD)) facility-level overtreatment rates fell from 40.3 (±5.3)% in 2013 to 37.75 (±4.70)% in 2016 (P < 0.001, paired t-test). Facility undertreatment rates ranged from 5.8% to 16.9% and 6.8% to 18.7% at the facility level in 2013 and 2016, respectively. The mean (±SD) undertreatment rate rose from 10.3 (±2.2)% in 2013 to 11.0 (±2.4)% in 2016 (P ≤ 0.001, paired t-test). However, change at individual facilities ranged from a decrease of 4.6% to an increase of 7.2%. Within year correlations were stronger than between year correlations. Overtreatment defined as A1c < 7 in this population inversely correlated strongly with undertreatment (r = -0.653, P < 0.001). CONCLUSIONS: Promotion of overtreatment reduction may be associated with an increase in undertreatment in patients with diabetes. Unintended consequence should be considered when implementing and evaluating quality measures and systems should include balancing measures to identify potential unintended harms.

Implementing team-based primary care models: a mixed-methods comparative case study in a large, integrated health care system.

BACKGROUND: Successful implementation of new care models within a health system is likely dependent on contextual factors at the individual sites of care. OBJECTIVE: To identify practice setting components contributing to uptake of new team-based care models. DESIGN: Convergent mixed-methods design. PARTICIPANTS: Employees and patients of primary care practices implementing two team-based models in a large, integrated health system. MAIN MEASURES: Field observations of 9 practices and 75 interviews, provider and staff surveys to assess adaptive reserve and burnout, analysis of quality metrics, and patient panel comorbidity scores. The data were collected simultaneously, then merged, thematically analyzed, and interpreted by a multidisciplinary team. KEY RESULTS: Based on analysis of observations and interviews, the 9 practices were categorized into 3 groups-high, partial, and low uptake of new team-based models. Uptake was related to (1) practices' responsiveness to change and (2) flexible workflow as related to team roles. Strength of local leadership and stable staffing mediated practices' ability to achieve high performance in these two domains. Higher performance on several quality metrics was associated with high uptake practices compared to the lower uptake groups. Mean Adaptive Reserve Measure and Maslach Burnout Inventory scores did not differ significantly between higher and lower uptake practices. CONCLUSION: Uptake of new team-based care delivery models is related to practices' ability to respond to change and to adapt team roles in workflow, influenced by both local leadership and stable staffing. Better performance on quality metrics may identify high uptake practices. Our findings can inform expectations for operational and policy leaders seeking to implement change in primary care practices.