Revisiting the Time Needed to Provide Adult Primary Care

Colorectal Cancer (CRC) Screening in Occupational Health Surveillance Exams Is Associated With Decreased CRC Mortality

BACKGROUND

Colorectal cancer (CRC) screening is recommended for adults aged 45 to 75. Using data from a national screening program, we examined the impact of CRC screening in a population with occupational exposures.

METHODS

Since 1998, the Building Trades National Medical Screening Program (BTMed) has offered CRC screening every 3 years. Tests used were: guaiac fecal occult blood test (gFOBT), 1998-2008; high sensitivity (HS)-gFOBT, 2009-2015; and fecal immunochemical test (FIT) since 2015. Data from the National Death Index through December 31, 2021 were used to compute standardized mortality ratios (SMRs) to compare the mortality experience of exam participants to nonparticipants. Internal analyses used Poisson regression and Cox regression to evaluation impact of CRC screening participation on CRC mortality.

RESULTS

Participation in gFOBT was 68.2%; HS-gFOBT, 78.7%; and FIT, 85.9%. The SMR for CRC was significantly higher for BTMed exam nonparticipants (SMR = 2.04, 95% CI 1.40-2.86) than exam participants (SMR = 1.07, 95% CI 0.88-1.28). Impact of CRC screening participation on reducing CRC mortality by type of test was 2% for gFOBT, 12% for HS-FOBT, and 61% for FIT.

DISCUSSION

This study found higher CRC screening participation than in the general population, with mortality reduction from screening similar to what is found in the general population, even though BTMed screening was conducted every 3 years rather than annually.

CONCLUSIONS

Participation in CRC screening had a significant impact on CRC mortality. Innovations in stool tests have led to greater convenience, participation, and impact, particularly for the FIT test. Occupational health practices should consider including CRC screening.

Mind the gap in kidney care: translating what we know into what we do

Historically, it takes an average of 17 years to move new treatments from clinical evidence to daily practice. Given the highly effective treatments now available to prevent or delay kidney disease onset and progression, this is far too long. The time is now to narrow the gap between what we know and what we do. Clear guidelines exist for the prevention and management of common risk factors for kidney disease, such as hypertension and diabetes, but only a fraction of people with these conditions worldwide are diagnosed, and even fewer are treated to target. Similarly, the vast majority of people living with kidney disease are unaware of their condition, because in the early stages it is often silent. Even among patients who have been diagnosed, many do not receive appropriate treatment for kidney disease. Considering the serious consequences of kidney disease progression, kidney failure, or death, it is imperative that treatments are initiated early and appropriately. Opportunities to diagnose and treat kidney disease early must be maximized beginning at the primary care level. Many systematic barriers exist, ranging from patient to clinician to health systems to societal factors. To preserve and improve kidney health for everyone everywhere, each of these barriers must be acknowledged so that sustainable solutions are developed and implemented without further delay.

Screening for Health-Related Social Needs: American College of Preventive Medicine's Practice Statement

Interest is rapidly growing around screening for health-related social needs (HRSN) in direct patient care settings. The screening and provision of HRSN is often done in the context of trying to address social determinants of health (SDOH). While there is emerging evidence that screening and referral for HRSN can improve health outcomes, there are educational, operational, and systemic gaps that need to be filled in order for HRSN screening and referral to be implemented system-wide and result in meaningful improvement in population health outcomes. The American College of Preventive Medicine recommends HRSN screening and referral in patient care settings only when there are sufficient systems in place to support addressing those needs. This paper identifies key considerations to take into account when implementing HRSN screening and referral in health care settings and makes recommendations to address those key considerations. The recommendations also frame the broader need to address SDOH at a population level. Finally, the paper identifies several knowledge and evidence gaps in the existing literature on the topic of HRSN, which will hopefully drive future research in this area, and result in an evidence-based, population approach to the issue.

Mind the gap in kidney care: Translating what we know into what we do

Historically, it takes an average of 17 years to move new treatments from clinical evidence to daily practice. Given the highly effective treatments now available to prevent or delay kidney disease onset and progression, this is far too long. The time is now to narrow the gap between what we know and what we do. Clear guidelines exist for the prevention and management of common risk factors for kidney disease, such as hypertension and diabetes, but only a fraction of people with these conditions worldwide are diagnosed, and even fewer are treated to target. Similarly, the vast majority of people living with kidney disease are unaware of their condition, because in the early stages it is often silent. Even among patients who have been diagnosed, many do not receive appropriate treatment for kidney disease. Considering the serious consequences of kidney disease progression, kidney failure or death, it is imperative that treatments are initiated early and appropriately. Opportunities to diagnose and treat kidney disease early must be maximized beginning at the primary care level. Many systematic barriers exist, ranging from patient to clinician to health systems to societal factors. To preserve and improve kidney health for everyone everywhere, each of these barriers must be acknowledged so that sustainable solutions are developed and implemented without further delay.

Primary care in the COVID-19 pandemic and beyond: Lessons from Ontario

OBJECTIVE

To understand the role of primary care in the COVID-19 pandemic to provide insight into its functioning and inform potential reforms.

COMPOSITION OF THE COMMITTEE

The now dissolved Ontario COVID-19 Science Advisory Table (Science Table) was formed in July 2020 to provide decision makers and the public with a synthesis of rapidly evolving evidence related to COVID-19. The Science Table was based at the Dalla Lana School of Public Health at the University of Toronto, and supported by Public Health Ontario.

METHODS

Authors worked with the leadership and secretariat of the Science Table to synthesize evidence and inputs. Authors drew on their expertise in research, policy, and front-line care delivery and coupled this with data analysis and reviews of the literature relevant to the topic areas discussed. Data analysis and literature reviews were done with the support of the Ontario Medical Association, the INSPIRE-Primary Health Care research program, and the Department of Family and Community Medicine at the University of Toronto. Experts conducted a rapid review of the briefs prior to publication, and authors presented the briefs' content at a series of meetings attended by Science Table members for their input. As Science Table briefs were intended to provide rapid-response answers to important health system questions in real time, the intent was not to conduct a systematic review but rather to gather available relevant evidence and present it in a form that could be used by policy-makers.

REPORT

This summary describes the work of primary care during the COVID-19 pandemic in Ontario up to September 2022; outlines current challenges in primary care capacity and structure; and makes recommendations for strengthening the sector to better address population needs for current and future public health priorities. While the focus is on Ontario, many of the findings are relevant to other jurisdictions in Canada and elsewhere.

CONCLUSION

Universal formal attachment to an accountable interprofessional primary care team supported by adequate infrastructure should be the cornerstone of pandemic recovery planning.

Disparities in the Timeliness of Addressing Patient-Initiated Telephone Calls in a Primary Care Clinic: The Impact of Quality Improvement Interventions

A timely response to patient-initiated telephone calls can affect many aspects of patient health, including quality of care and health equity. Historically, at a family medicine residency clinic, at least 1 out of 4 patient calls remained unresolved three days after the call was placed. We sought to explore whether there were differential delays in resolution of patient concerns for certain groups and how these were affected by quality improvement interventions to increase responsiveness to patient calls. A multidisciplinary team at a primary care residency clinic applied Lean education and tools to improve the timeliness of addressing telephone encounters. Telephone encounter data were obtained for one year before and nine months after the intervention. Data were stratified by race, ethnicity, preferred language, sex, online portal activation status, age category, zip code, patient risk category, and reason for call. Stratified data revealed consistently worse performance on telephone encounter closure by 72 hours for Black/African American patients compared to Hispanic and non-Hispanic White patients pre-intervention. Interventions resulted in statistically significant overall improvement, with an OR of 2.9 (95% CI: 2.62 to 3.21). Though interventions did not target a specific population, pre-intervention differences based on race and ethnicity resolved post-intervention. Telephone calls serve as an important means of patient communication with care teams. General interventions to improve the timeliness of addressing telephone encounters can lead to sustainable improvement in a primary care academic clinic and may also alleviate disparities.

Knowledge, Attitude and Practice Regarding Nonsteroidal Anti-inflammatory Drugs and Corticosteroids Use Among Patients With Chronic Rheumatology Condition: A Cross-Sectional Study From Vietnam

Objectives

To identify gaps in knowledge, attitude, and practice regarding the use of corticosteroids and nonsteroidal anti-inflammatory drugs (NSAIDs) among patients with chronic rheumatic diseases.

Methods

A cross-sectional study was conducted using a questionnaire including 12 knowledge questions, 13 attitude assessment statements, 5 barrier assessment statements, and 7 practical scenarios. We counted the total numbers of correct answers in knowledge, positive attitudes, barriers, and appropriate practices and fitted using Poisson regression to examine factors associated with knowledge, attitudes, and practices.

Results

A total of 182 participants were included in this study, a large proportion of them had never heard of corticosteroids (34%) and NSAIDs (54%) before. Physicians were the source of information regarding corticosteroids and NSAIDs in 83% and 84% of the cases, respectively. Gastric ulcer was the most commonly recognized adverse drug reaction (ADR) for corticosteroids (64%) and the only ADR recognized for NSAIDs (95%), while only few patients were aware of life-threatening ADRs. The primary barrier, with a 40% agreement, was health care providers' time constraints in providing medication information to patients. Our study findings did not reveal any gaps in practice, nor did they show any correlation between patients' knowledge and attitudes to the practice of using corticosteroids and NSAIDs.

Conclusion

There were gaps in knowledge, attitudes, and barriers to information access regarding NSAIDs and corticosteroid use in Vietnamese patients with chronic rheumatic diseases. Potential solutions include allocating more time for information exchange between physicians and patients, creating new channels to provide reliable information for patients, and emphasizing the important ADRs.

Evaluation of the German living guideline "Protection against the Overuse and Underuse of Health Care" - an online survey among German GPs

BACKGROUND

The aim of this study was to evaluate the awareness and use of the German guideline "Protection against the overuse and underuse of health care" from the general practitioners' (GPs') perspective. In addition, the study assessed how GPs perceive medical overuse and what solutions they have for reducing it.

METHODS

We performed a cross-sectional online survey with recruitment from 15.06. to 31.07.2023. Participants were members of the German College of General Practitioners and Family Physicians (DEGAM). The main outcomes were the awareness and use of the guideline.

RESULTS

The analysis included data from 626 physicians. 51% were female and the median age was 50 years. The guideline is known by 81% of the participants, 32% read it in more detail. The majority considered the guideline a helpful tool in reducing overuse (67%). Almost 90% wished to have more guidelines with clear do-not-do recommendations. Physicians indicated in mean (M) that 30.2% (SD = 19.3%) of patients ask them for medical services that they do not consider to be necessary and that M = 30.2% (SD = 18.1%) of all GP services can be attributed to medical overuse. About half of the participants thought that overuse is a moderate or major problem in their practice (52%) and in general practice overall (58%). More participants rated that it is especially a problem in specialist (87%) and inpatient care (82%). Changes in the reimbursement system, raising awareness for the problem and more evidence-based guidelines were considered helpful in mitigating overuse.

CONCLUSIONS

Although the guideline is seen as a useful tool in mitigating medical overuse, there is still further potential for its implementation and utilisation. GPs see more overuse in the inpatient and outpatient specialist areas than in their area of practice. Instead of self-critically approaching the problem, the proposed strategies are aimed at the healthcare system itself.

Combined telemedicine-first and direct primary care as a promising model of healthcare delivery

Telemedicine is comparable in quality to in-person care, adequate for many primary care concerns, acceptable to patients, and can overcome barriers to care. However, patients are reluctant to pay the same for telemedicine as in-person care and uncertainty about future payor reimbursement makes it risky to base a clinical practice primarily on telemedicine. Physical exam-supported information collection and relationship-building are limited in telemedicine, but can be mitigated through remote patient monitoring and ample access to a provider and clinical team. Subscription-based direct primary care models disconnect payment from episodes of care, which can support enhanced communication between the patient and care team and support time for asynchronous tasks such as remote patient monitoring data review. A "telemedicine first, direct primary care" model in which most care is provided through telemedicine and financed via subscription would retain the convenience of telemedicine, mitigate relationship-limiting deficiencies due to the lack of physical contact, and provide a stable revenue stream to support a telemedicine-based approach to care. Paired with specialist access via eConsults and options to refer to in-person care when necessary, this model would support telemedicine as the foundation for practice and connect underserved populations to primary and specialty care.

Stepwise identification of prodromal dementia: Testing a practical model for primary care

BACKGROUND

Prodromal dementia is largely underdiagnosed in primary care.

OBJECTIVE

To develop a clinical model for detecting prodromal dementia within the operative boundaries of primary care practice.

METHODS

The study employed the Functional Activities Questionnaire (FAQ) and Montreal Cognitive Assessment (MoCA) to evaluate a "functional-cognitive" step-down screening model, in which the MoCA is administered subsequent to reported symptoms on the FAQ. It classified participants from the Alzheimer's Disease Imaging Initiative to three diagnostic categories: (1) healthy cognition (n = 396), (2) mild cognitive impairment without conversion (n = 430), and (3) prodromal dementia assessed 24 months before diagnosis (n = 164).

RESULTS

Analyses indicated that the step-down model (Model 1) performed significantly better than an alternative model that applied the FAQ as a single measure (Model 2) and compared well with another model that administered both screening measures to all participants (Model 3). Gradient Boosting Trees classifications yielded the following estimations for Model 1/Model 2/ Model 3, respectively: Sensitivity = 0.87/0.77/0.89, Specificity = 0.68/0.47/0.70, PPV = 0.73/0.40/0.75, NVP = 0.84/0.81/0.87, F1 Score = 0.79/0.52/0.81, AUC = 0.78/0.67/0.79.

CONCLUSIONS

These analyses support the proposed model. The study offers algorithms for validated measures, which were developed from a well characterized clinical sample. Their accuracy will likely improve further with new data from diverse clinical settings. These results can serve primary care in a timely manner in light of the recent advances in pharmacological treatment of dementia and the expected increase in demand for screening.

"Being ill was the easy part": exploring cancer survivors' reactions to perceived challenges in engaging with primary healthcare

PURPOSE

Cancer survivors experience barriers to primary healthcare (PHC) services. The aim was to explore reactions to and opinions about perceived challenges associated with PHC access and quality among cancer survivors in Sweden, including how they have acted to adapt to challenges.

METHODS

Five semi-structured focus group interviews were conducted with cancer survivors (n = 20) from Skåne, Sweden, diagnosed with breast, prostate, lung, or colorectal cancer or malignant melanoma. Focus groups were mixed in regard to diagnosis. Data were analysed using a descriptive template analysis approach.

RESULTS

In light of perceived challenges associated with access to adequate PHC, participants experienced that they had been forced to work hard to achieve functioning PHC contacts. The demands for self-sufficiency were associated with negative feelings such as loneliness and worry. Participants believed that cancer survivors who lack the ability to express themselves, or sufficient drive, risk missing out on necessary care due to the necessity of being an active patient.

CONCLUSIONS

The findings highlight negative patient experiences. They have implications for the organization of care for cancer survivors as they indicate a need for more efficient post-treatment coordination between cancer specialist care and PHC providers, as well as increased support for patients leaving primary cancer treatment.

Opportunity and Opportunism in Artificial Intelligence-Powered Data Extraction: A Value-Centered Approach

Radiologists' traditional role in the diagnostic process is to respond to specific clinical questions and reduce uncertainty enough to permit treatment decisions to be made. This charge is rapidly evolving due to forces such as artificial intelligence (AI), big data (opportunistic imaging, imaging prognostication), and advanced diagnostic technologies. A new modernistic paradigm is emerging whereby radiologists, in conjunction with computer algorithms, will be tasked with extracting as much information from imaging data as possible, often without a specific clinical question being posed and independent of any stated clinical need. In addition, AI algorithms are increasingly able to predict long-term outcomes using data from seemingly normal examinations, enabling AI-assisted prognostication. As these algorithms become a standard component of radiology practice, the sheer amount of information they demand will increase the need for streamlined workflows, communication, and data management techniques. In addition, the provision of such information raises reimbursement, liability, and access issues. Guidelines will be needed to ensure that all patients have access to the benefits of this new technology and guarantee that mined data do not inadvertently create harm. In this Review, we discuss the challenges and opportunities relevant to radiologists in this changing landscape, with an emphasis on ensuring that radiologists provide high-value care.

Inbox message prioritization and management approaches in primary care

Objectives

Patient messaging to clinicians has dramatically increased since the pandemic, leading to informatics efforts to categorize incoming messages. We examined how message prioritization (as distinct from categorization) occurs in primary care, and how primary care clinicians managed their inbox workflows.

Materials and Methods

Semi-structured interviews and inbox work observations with 11 primary care clinicians at MedStar Health. We analyzed interview and observation transcripts and identified themes and subthemes related to prioritization and inbox workflows.

Results

Clinicians widely reported that they did not prioritize messages due to time constraints and the necessity of attending to all messages, which made any prioritization purely additive to overall inbox time. We identified 6 themes and 14 subthemes related to managing inbox workloads. The top themes were (1) establishing workflow norms with different teams, primarily medical assistants (MAs); (2) boundary-setting with patients, other clinicians, and with themselves; and (3) message classification heuristics that allowed clinicians to mentally categorize messages that required follow-up, messages that could be quickly deleted or acknowledged, and purely informational messages that ranged in clinical utility from tedious to valuable for care coordination.

Discussion

Time constraints in primary care prevent clinicians from prioritizing their inbox messages for increased efficiency. Involvement of MAs and co-located staff was successful; however, standardization was needed for messaging workflows that involved centralized resources like call centers. Organizations should consider ways in which they can support the establishment and maintenance of boundaries, to avoid this responsibility falling entirely on clinicians.

Conclusion

Clinicians generally lack the time to prioritize patient messages. Future research should explore the efficacy of collaborative inbox workflows for time-savings and management of patient messages.

Developing a prediction model for cognitive impairment in older adults following critical illness

BACKGROUND

New or worsening cognitive impairment or dementia is common in older adults following an episode of critical illness, and screening post-discharge is recommended for those at increased risk. There is a need for prediction models of post-ICU cognitive impairment to guide delivery of screening and support resources to those in greatest need. We sought to develop and internally validate a machine learning model for new cognitive impairment or dementia in older adults after critical illness using electronic health record (EHR) data.

METHODS

Our cohort included patients > 60 years of age admitted to a large academic health system ICU in North Carolina between 2015 and 2021. Patients were included in the cohort if they were admitted to the ICU for ≥ 48 h with ≥ 2 ambulatory visits prior to hospitalization and at least one visit in the post-discharge year. We used a machine learning model, oblique random survival forests (ORSF), to examine the multivariable association of 54 structured data elements available by 3 months after discharge with incident diagnoses of cognitive impairment or dementia over 1-year.

RESULTS

In this cohort of 8,299 adults, 22% died and 4.9% were diagnosed with dementia or cognitive impairment within one year. The ORSF model showed reasonable discrimination (c-statistic = 0.83) and stability with little difference in the model's c-statistic across time.

CONCLUSION

Machine learning using readily available EHR data can predict new cognitive impairment or dementia at 1-year post-ICU discharge in older adults with acceptable accuracy. Further studies are needed to understand how this tool may impact screening for cognitive impairment in the post-discharge period.

Clinician Prescribing Practices Involving Medications for Alcohol Use Disorder

INTRODUCTION

Despite the heavy toll of alcohol use disorder (AUD) in the U.S., efficacious medications for AUD (MAUD) are rarely used. Minimal research has explored clinician prescribing practices involving MAUD.

METHODS

Using a large national database of electronic health records, this cross-sectional analysis, conducted in 2023-2024, identified clinicians with at least 1 prescription order for an FDA-approved MAUD (naltrexone, acamprosate, or disulfiram) for a patient with AUD during 2016-2021. Descriptive statistics captured clinician-level prescribing volume and type of medication prescribed. Logistic regression models estimated the association between clinician characteristics and number of MAUD patients and type of medications prescribed.

RESULTS

Among the 38,626 clinician-years identified in the EHR data (representing 19,840 unique clinicians), 59% prescribed MAUD to a single patient. Psychiatrists (AOR=4.4, 95% CI=3.8, 4.9) and advanced practice providers (AOR=1.8, 95% CI=1.6, 2.0) were significantly more likely than primary care physicians to prescribe MAUD to 4 or more patients. Clinicians in the top tertile in the percentage of patients with a substance use disorder diagnosis were also more likely to prescribe MAUD to more patients (AOR=8.1, 95% CI=7.1, 9.7). These same clinician characteristics were also associated with greater odds of prescribing more than 1 type of AUD medication.

CONCLUSIONS

Most clinicians prescribing MAUD in a year did so rarely. Policy and health system change is needed to improve clinicians' pharmacologic treatment of AUD, with a focus on primary care physicians, with whom individuals with AUD may have the most frequent contact.

Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine: A Position Statement from the Society of General Internal Medicine

Generative artificial intelligence (generative AI) is a new technology with potentially broad applications across important domains of healthcare, but serious questions remain about how to balance the promise of generative AI against unintended consequences from adoption of these tools. In this position statement, we provide recommendations on behalf of the Society of General Internal Medicine on how clinicians, technologists, and healthcare organizations can approach the use of these tools. We focus on three major domains of medical practice where clinicians and technology experts believe generative AI will have substantial immediate and long-term impacts: clinical decision-making, health systems optimization, and the patient-physician relationship. Additionally, we highlight our most important generative AI ethics and equity considerations for these stakeholders. For clinicians, we recommend approaching generative AI similarly to other important biomedical advancements, critically appraising its evidence and utility and incorporating it thoughtfully into practice. For technologists developing generative AI for healthcare applications, we recommend a major frameshift in thinking away from the expectation that clinicians will "supervise" generative AI. Rather, these organizations and individuals should hold themselves and their technologies to the same set of high standards expected of the clinical workforce and strive to design high-performing, well-studied tools that improve care and foster the therapeutic relationship, not simply those that improve efficiency or market share. We further recommend deep and ongoing partnerships with clinicians and patients as necessary collaborators in this work. And for healthcare organizations, we recommend pursuing a combination of both incremental and transformative change with generative AI, directing resources toward both endeavors, and avoiding the urge to rapidly displace the human clinical workforce with generative AI. We affirm that the practice of medicine remains a fundamentally human endeavor which should be enhanced by technology, not displaced by it.

Diabetes Management: A Case Study to Drive National Policy Change in Primary Care Settings

Despite medical advances, diabetes management remains a considerable challenge in the United States, with little to no improvement in patient outcomes and stark disparities in underserved communities. One acute challenge is that, as the US population with diabetes grows steadily-numbering 38.4 million people today-there are too few endocrinologists available to treat the disease and the burdens on primary care professionals, who treat more than 90% of cases currently, are staggering. This disconnect between need and care capacity presents what may be the greatest of many threats to the care of diabetic Americans. To understand what is required to solve this need-to-capacity mismatch, we examine the critical role of primary care professionals and propose national policy approaches to empower and improve the nation's primary care architecture for the nearly 12% of Americans who have diabetes. Policy recommendations encompass the integration of the chronic care model and the patient-centered medical home approach, expansion of workforce development initiatives, and payment reform to incentivize team-based care with the aim of ensuring equitable access to essential diabetes management tools. We urge policy makers to prioritize primary care workforce development, enhance reimbursement models, and implement strategies to mitigate disparities in diabetes care. Evidence reviewed here highlights the critical need for a comprehensive, multidimensional approach to diabetes management in primary care, emphasizing the importance of decisive action by policy makers to equip primary care professionals with the necessary resources and support to effectively address the nation's diabetes epidemic.

Patterns of gastroenterology specialty referral for primary care patients with metabolic dysfunction-associated steatotic liver disease

BACKGROUND

As metabolic dysfunction-associated steatotic liver disease (MASLD) management extends into primary care, little is known about patterns of specialty referral for affected patients. We determined the proportion of primary care patients with MASLD that received a gastroenterology (GI) consultation and compared advanced fibrosis risk between patients with and without a referral.

METHODS

This retrospective study of electronic health record data from a primary care clinic included patients with MASLD, no competing chronic liver disease diagnoses, and no history of cirrhosis. Referral to GI for evaluation and management (E/M) any time after MASLD ascertainment was the outcome. Fibrosis-4 Index (FIB-4) scores were calculated, categorized by advanced fibrosis risk, and compared by receipt of a GI E/M referral. Logistic regression models were developed to determine the association of FIB-4 risk with receipt of a GI referral.

RESULTS

The cohort included 652 patients of which 12% had FIB-4 scores (≥2.67) at high-risk for advanced fibrosis. Overall, 31% of cohort patients received a GI referral for E/M. There was no difference in the proportion of patients with high (12% vs. 12%, p=0.952) risk FIB-4 scores by receipt of a GI E/M referral. In adjusted logistic regression models, high-risk FIB-4 scores (OR 1.01; 95% CI 0.59 - 1.71) were not associated with receipt of a referral.

CONCLUSIONS

Only 30% of patients in this primary care MASLD cohort received a GI E/M referral during the study period, and those patients with a referral did not differ by FIB-4 advanced fibrosis risk.

L-Thyroxin bei Hypothyreose – absetzen oder nicht?

Hintergrund

L‑Thyroxin ist eines der am häufigsten verordneten Arzneimittel in Deutschland. Es wird hauptsächlich zur Behandlung der Hypothyreose eingesetzt. Aufgrund von Verordnungsdaten ist davon auszugehen, dass L‑Thyroxin häufiger verordnet wird als es medizinisch indiziert ist.

Ziel der Arbeit

Sind hausärztlich Tätige bereit, Dosisreduktionen oder Absetzversuche von L‑Thyroxin vorzunehmen?

Methodik

Auf der Jahrestagung der Sächsischen Gesellschaft für Allgemeinmedizin erfolgte eine Querschnittserhebung mittels Fragebogen. Dieser beinhaltete 3 konstruierte Fälle, deren L‑Thyroxin-Therapie auf Änderungspotenzial zu bewerten war. Es erfolgte eine deskriptive Analyse der quantitativen Daten sowie eine qualitative Inhaltsanalyse.

Ergebnisse

Insgesamt nahmen 33 hausärztlich Tätige an der Befragung teil. Am häufigsten wurde eine Beibehaltung der Dosis oder sogar eine Dosiserhöhung favorisiert. Dies wurde mit guter Therapieeinstellung, mutmaßlich fehlendem Nachteil einer geringen Dosis oder der Vermeidung von Komplikationen begründet. Selten wurde eine Reduktion oder ein Absetzen vorgeschlagen. Für das Absetzen oder Dosisreduktion wurde sich mit Verweis auf die fehlende medizinische Indikation ausgesprochen.

Diskussion

Auch bei fehlender medizinischer Indikation waren die Teilnehmenden zurückhaltend, eine bestehende Therapie zu verändern. Dies deckt sich mit Angaben aus der existierenden Literatur. Die Annahme der Vermeidung von Folgeerkrankungen, begrenzte Zeit für Beratungsgespräche und mangelnde Kommunikation zwischen Verordnenden wurden in anderen Studien als Ursachen identifiziert. Dabei gibt es Hinweise auf den Nutzen von Deprescribing. Es besteht diesbezüglich im deutschen primärärztlichen Bereich noch großer Forschungsbedarf.

Clinically sound and person centred: streamlining clinical decision support guidance for multiple long-term condition care

The care of people with multiple long-term conditions (MLTCs) is complex and time-consuming, often denying them the agency to self-manage their conditions-or for the clinician they visit to provide streamlined, person-centred care. We reconfigured The Practical Approach to Care Kit, our established, evidence-based, policy-aligned clinical decision support tool for low-resource primary care settings, to provide consolidated clinical guidance for a patient journey through a primary care facility. This places the patient at the centre of that journey and shifts the screening, monitoring and health education activities of multimorbidity care more equitably among the members of the primary care team. This work forms part of a study called ENHANCE, exploring how best to streamline MLTC care in South Africa with its high burden of communicable, non-communicable and mental health conditions. This practice paper describes the four steps of codeveloping this clinical decision support tool for eleven common long-term conditions with local stakeholders (deciding the approach, constructing the content, clinical editing, and design and formatting) along with the features of the tool designed to facilitate its usability at point of care. The process highlighted tensions around prioritising one condition over another, curative over preventive treatment and pharmacological therapies over advice-giving, along with the challenges of balancing the large volume of content with a person-centred approach. If successful, the tool could augment the response to MLTC care in South Africa and other low-resource settings. In addition, our development process may contribute to scant literature around methodologies for clinical decision support development.

Telemedicine and time management in primary care

BACKGROUND

Information and communication technologies (ICTs) can enable workers to structure work in novel ways, allow for better time management, and increase work scheduling autonomy. Time management and work scheduling are important factors in the field of clinical practice in primary care. Time limits on consultation are a key constraint on the delivery of good care since the length of patient-physician consultation impacts its quality.

OBJECTIVES

This research aimed to examine the experiences of primary care physicians (PCPs) when using telemedicine technologies (TTs), a type of ICT, in their communication with patients.

METHODS

During 2023 in-depth interviews were conducted with 20 Israeli PCPs: family physicians and pediatricians.

FINDINGS

Perception and management of time emerged as a focal subject in the interviews. The PCPs interviewed described several effects of TTs on time management in primary care. They portrayed TTs as saving time for patients and having a mixed effect on the healthcare organization: both saving and wasting their work time. TTs were described as impacting their time management in the context of work-life balance, allowing them to manage their time during and between appointments.

DISCUSSION

For PCPs, TTs can be beneficial for managing time in the clinic, which can contribute to better healthcare. This article, concerning TTs as a type of ICT, contributes to the existing literature which suggests that ICTs can allow for better time management and increase work scheduling autonomy. It also presents several recommendations for better implementation of TTs in healthcare organizations.

Proof-of-concept study of a small language model chatbot for breast cancer decision support - a transparent, source-controlled, explainable and data-secure approach

PURPOSE

Large language models (LLM) show potential for decision support in breast cancer care. Their use in clinical care is currently prohibited by lack of control over sources used for decision-making, explainability of the decision-making process and health data security issues. Recent development of Small Language Models (SLM) is discussed to address these challenges. This preclinical proof-of-concept study tailors an open-source SLM to the German breast cancer guideline (BC-SLM) to evaluate initial clinical accuracy and technical functionality in a preclinical simulation.

METHODS

A multidisciplinary tumor board (MTB) is used as the gold-standard to assess the initial clinical accuracy in terms of concordance of the BC-SLM with MTB and comparing it to two publicly available LLM, ChatGPT3.5 and 4. The study includes 20 fictional patient profiles and recommendations for 5 treatment modalities, resulting in 100 binary treatment recommendations (recommended or not recommended). Statistical evaluation includes concordance with MTB in % including Cohen's Kappa statistic (κ). Technical functionality is assessed qualitatively in terms of local hosting, adherence to the guideline and information retrieval.

RESULTS

The overall concordance amounts to 86% for BC-SLM (κ = 0.721, p < 0.001), 90% for ChatGPT4 (κ = 0.820, p < 0.001) and 83% for ChatGPT3.5 (κ = 0.661, p < 0.001). Specific concordance for each treatment modality ranges from 65 to 100% for BC-SLM, 85-100% for ChatGPT4, and 55-95% for ChatGPT3.5. The BC-SLM is locally functional, adheres to the standards of the German breast cancer guideline and provides referenced sections for its decision-making.

CONCLUSION

The tailored BC-SLM shows initial clinical accuracy and technical functionality, with concordance to the MTB that is comparable to publicly-available LLMs like ChatGPT4 and 3.5. This serves as a proof-of-concept for adapting a SLM to an oncological disease and its guideline to address prevailing issues with LLM by ensuring decision transparency, explainability, source control, and data security, which represents a necessary step towards clinical validation and safe use of language models in clinical oncology.

The Organization of Academic General Internal Medicine Practice at the Top Primary Care Schools

BACKGROUND

While prior studies have explored staffing infrastructure for primary care practices in general, little is known about the range of academic primary care practice models and supports available for academic general internists.

OBJECTIVE

To characterize the range of practice arrangements and expectations for attending academic physicians in general internal medicine (GIM) practices at the top 22 medical schools across the USA.

DESIGN

Cross-sectional survey administered electronically between October 30, 2022, and December 28, 2022.

PARTICIPANTS

Clinical leaders in GIM at the top 22 primary care medical schools, as identified by the 2023 US News and World Report Rankings.

MAIN MEASURES

Clinical load, productivity expectations, cross-coverage, and team-based care models.

KEY RESULTS

Twenty-two leaders responded, representing 68% (15/22) of medical schools surveyed. The practices were mostly in urban locations (18/22, 82%) and 86% (19/22) included residents. Practices ranged from 7 to 200 PCPs and from 3 to 112 clinical FTEs. A full-time (1.0 FTE) clinical role for academic attending GIM physicians entailed a median of 9 (IQR 8, 10) weekly half-day clinic sessions, with a median panel size expectation of 1600 (IQR 1450, 1850) patients and a median yearly RVU expectation of 5200 (IQR 4161, 5891) yearly RVUs generated. Staff support was most commonly present for prescription refills and patient portal message checks. It was less commonly available for time sensitive form completion. Occasional clinical coverage for other physicians was an expectation at all practices.

CONCLUSIONS

In this study, we characterize the organization of and supports available in academic GIM practices affiliated with the top primary care medical schools. Our findings provide comparative information for leaders of academic GIM practices seeking to enhance primary care delivery for their faculty and trainees. They also highlight areas where standardization may be beneficial across academic GIM.

Building machines that learn and think with people

What do we want from machine intelligence? We envision machines that are not just tools for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and trustworthy systems that think with us. Current artificial intelligence systems satisfy some of these criteria, some of the time. In this Perspective, we show how the science of collaborative cognition can be put to work to engineer systems that really can be called 'thought partners', systems built to meet our expectations and complement our limitations. We lay out several modes of collaborative thought in which humans and artificial intelligence thought partners can engage, and we propose desiderata for human-compatible thought partnerships. Drawing on motifs from computational cognitive science, we motivate an alternative scaling path for the design of thought partners and ecosystems around their use through a Bayesian lens, whereby the partners we construct actively build and reason over models of the human and world.

The Utah Pharmacy Summit: Collaborating to Optimize Patient Care

Pharmacy has evolved significantly over the past 20 years, despite advances in pharmacotherapy and the expanding scope of pharmacy practice, pharmacists have struggled to collaborate across disciplines to create improved processes that enable the best outcomes from these innovations. A lack of innovation at any part of the healthcare system could inhibit the progress of practice innovations thereby leading to suboptimal patient medication and health outcomes. The Utah Pharmacy Summit was held in late 2022 with the goal of promoting pharmacist collaboration and a unified pharmacist voice within the state. The success of the Summit leads us to encourage collaborative forums across the Globe.

From Headache to Handled: Advanced In-Basket Management System in Primary Care Clinics Reduces Provider Workload Burden and Self-Reported Burnout

BACKGROUND

 The electronic health record (EHR) has been associated with provider burnout, exacerbated by increasing In-Basket burden.

OBJECTIVES

 We sought to study the impact of implementing a team-based approach to In-Basket management on a series of primary care ambulatory sites.

METHODS

 We performed a workflow analysis of the transition to the Advanced In-Basket Management (AIM) nurse team triage for six family medicine clinic locations in a large health system. We abstracted and analyzed associated provider workflow metrics from our EHR. We conducted a postintervention provider survey on satisfaction with the AIM project and provider burnout.

RESULTS

 The AIM project was implemented in six family medicine clinics after provider townhalls and workgroup development. A nurse team curriculum was created using the principles of "maturing the message" before sending it to a provider and "only handle it once" to improve response efficiency. Provider workload metrics abstracted from the EHR demonstrated 12.2 fewer In-Basket messages per provider per day (p < 0.05), 6.3 fewer minutes per provider per day worked outside scheduled hours (p < 0.05), 3.5 fewer minutes spent in the In-Basket per provider per day (p < 0.05), but 13.7 more seconds spent per completed message per provider (p = 0.017), likely attributable to increased message complexity. Sixty-four percent of providers reported no burnout symptoms in a postintervention survey, 56% agreed that the AIM project reduced their burnout, and approximately 70% of providers agreed that the AIM project was acceptable and appropriate for their clinic.

CONCLUSION

 The AIM project demonstrates team-based nurse In-Basket triage is possible to implement across multiple primary care sites, is an acceptable intervention for providers, can reduce provider workload burden and self-reported provider burnout.

A critical review of clinician-directed nudges

As nudges-subtle changes to the way options are presented to guide choice-have gained popularity across policy domains in the past 15 years, healthcare systems and researchers have eagerly deployed these light-touch interventions to improve clinical decision-making. However, recent research has identified the limitations of nudges. Although nudges may modestly improve clinical decisions in some contexts, these interventions (particularly nudges implemented as electronic health record alerts) can also backfire and have unintended consequences. Further, emerging research on crowd-out effects suggests that healthcare nudges may direct attention and resources toward the clinical encounter and away from the main structural drivers of poor health outcomes. It is time to move beyond nudges and toward the development of multi-level, structurally focused interventions.

Mind the gap in kidney care: Translating what we know into what we do

Historically, it takes an average of 17 years to move new treatments from clinical evidence to daily practice. Given the highly effective treatments now available to prevent or delay kidney disease onset and progression, this is far too long. The time is now to narrow the gap between what we know and what we do. Clear guidelines exist for the prevention and management of common risk factors for kidney disease, such as hypertension and diabetes, but only a fraction of people with these conditions worldwide are diagnosed, and even fewer are treated to target. Similarly, the vast majority of people living with kidney disease are unaware of their condition, because in the early stages it is often silent. Even among patients who have been diagnosed, many do not receive appropriate treatment for kidney disease. Considering the serious consequences of kidney disease progression, kidney failure, or death, it is imperative that treatments are initiated early and appropriately. Opportunities to diagnose and treat kidney disease early must be maximized beginning at the primary care level. Many systematic barriers exist, ranging from patient to clinician to health systems to societal factors. To preserve and improve kidney health for everyone everywhere, each of these barriers must be acknowledged so that sustainable solutions are developed and implemented without further delay.

Closing the gaps in adolescent vaccinations: Rhode Island's Vaccinate Before You Graduate program as a model for other jurisdictions

Objective

The northeastern state of Rhode Island (RI) has a Vaccinate Before You Graduate (VBYG) program that supplements the traditional primary care infrastructure by providing vaccines to adolescents while they are in school, with no out-of-pocket expenses. We analyzed data from RI's immunization registry to evaluate whether VBYG also reduces disparities in adolescent immunization rates.

Methods

We identified adolescent and catch-up vaccines administered in RI to people who were aged 11-18 at any point during the 5-year study period of 2019-2023, and conducted bivariate and multivariate analyses of vaccine administration data by setting (VBYG clinics, community health centers [CHCs], all other primary care practices [oPCPs], other school-based clinics, and other sites) and adolescent demographics (racial and ethnic identity, insurance status, sex, and age at time of vaccine).

Results

Of over 387,000 routine vaccines administered during the study period, 3.3 % were administered by a VBYG clinic despite significant declines during school closures associated with the early COVID-19 pandemic. VBYG-administered doses went to slightly older youth, and a higher proportion were catch-up doses (25.7 % versus 14.1 % for CHC doses and 6.5 % for oPCP). Youths received an average of 2.71 vaccines in VBYG clinics compared to 1.77 from oPCPs and 2.08 from CHCs. A higher proportion of vaccines administered by VBYG went to adolescents of color and those without private insurance than those administered by oPCPs.

Conclusions

VBYG provides a model to other jurisdictions of a vaccine safety net for adolescents who may not otherwise receive recommended vaccines before exiting the school system.

Integrating Buprenorphine for Opioid Use Disorder into Rural, Primary Care Settings

BACKGROUND

Medications for opioid use disorder (MOUD) including buprenorphine are effective, but underutilized. Rural patients experience pronounced disparities in access. To reach rural patients, the US Department of Veterans Affairs (VA) has sought to expand buprenorphine prescribing beyond specialty settings and into primary care.

OBJECTIVE

Although challenges remain, some rural VA health care systems have begun offering opioid use disorder (OUD) treatment with buprenorphine in primary care. We conducted interviews with clinicians, leaders, and staff within these systems to understand how this outcome had been achieved.

DESIGN

Using administrative data from the VA Corporate Data Warehouse (CDW), we identified rural VA health care systems that had improved their rate of primary care-based buprenorphine prescribing over the period 2015-2020. We conducted qualitative interviews (n = 30) with staff involved in implementing or prescribing buprenorphine in these systems to understand the processes that had facilitated implementation.

PARTICIPANTS

Clinicians, staff, and leaders embedded within rural VA health care systems located in the Northwest, West, Midwest (2), South, and Northeast.

APPROACH

Qualitative interviews were analyzed using a mixed inductive/deductive approach.

KEY RESULTS

Interviews revealed the processes through which buprenorphine was integrated into primary care, as well as processes insufficient to enact change. Implementation was often initially catalyzed through a targeted hire. Champions then engaged clinicians and leaders one-on-one to "pitch" the case, describe concordance between buprenorphine prescribing and existing goals, and delineate the supportive role that they could provide. Sites were prepared for implementation by developing new clinical teams and redesigning clinical processes. Each of these processes was made possible with the active, instrumental support of leadership.

CONCLUSIONS

Results suggest that rural systems seeking to improve buprenorphine accessibility in primary care may need to alter primary care structures to accommodate buprenorphine prescribing, whether through new hires, team development, or clinical redesign.

Mind the gap in kidney care: translating what we know into what we do

Historically, it takes an average of 17 years to move new treatments from clinical evidence to daily practice. Given the highly effective treatments now available to prevent or delay kidney disease onset and progression, this is far too long. The time is now to narrow the gap between what we know and what we do. Clear guidelines exist for the prevention and management of common risk factors for kidney disease, such as hypertension and diabetes, but only a fraction of people with these conditions worldwide are diagnosed, and even fewer are treated to target. Similarly, the vast majority of people living with kidney disease are unaware of their condition, because in the early stages, it is often silent. Even among patients who have been diagnosed, many do not receive appropriate treatment for kidney disease. Considering the serious consequences of kidney disease progression, kidney failure, or death, it is imperative that treatments are initiated early and appropriately. Opportunities to diagnose and treat kidney disease early must be maximized beginning at the primary care level. Many systematic barriers exist, ranging from patient to clinician to health systems to societal factors. To preserve and improve kidney health for everyone everywhere, each of these barriers must be acknowledged so that sustainable solutions are developed and implemented without further delay.

Barriers and Facilitators to Using a Clinical Decision Support Tool for Opioid Use Disorder in Primary Care

PURPOSE

Clinical decision support (CDS) tools are designed to help primary care clinicians (PCCs) implement evidence-based guidelines for chronic disease care. CDS tools may also be helpful for opioid use disorder (OUD), but only if PCCs use them in their regular workflow. This study's purpose was to understand PCC and clinic leader perceptions of barriers to using an OUD-CDS tool in primary care.

METHODS

PCCs and leaders (n = 13) from clinics in an integrated health system in which an OUD-CDS tool was implemented participated in semistructured qualitative interviews. Questions aimed to understand whether the CDS tool design, implementation, context, and content were barriers or facilitators to using the OUD-CDS in primary care. Recruitment stopped when thematic saturation was reached. An inductive thematic analysis approach was used to generate overall themes.

RESULTS

Five themes emerged: (1) PCCs prefer to minimize conversations about OUD risk and treatment; (2) PCCs are enthusiastic about a CDS tool that addresses a topic of interest but lack interest in treating OUD; (3) contextual barriers in primary care limit PCCs' ability to use CDS to manage OUD; (4) CDS needs to be simple and visible, save time, and add value to care; and (5) CDS has value in identifying and screening patients and facilitating referrals.

CONCLUSIONS

This study identified several factors that impact use of an OUD-CDS tool in primary care, including PCC interest in treating OUD, contextual barriers, and CDS design. These results may help others interested in implementing CDS for OUD in primary care.

Breaking down barriers to COPD management in primary care: applying the updated 2023 Canadian Thoracic Society guideline for pharmacotherapy

Chronic obstructive pulmonary disease (COPD) is a highly prevalent yet under-recognized and sub-optimally managed disease that is associated with substantial morbidity and mortality. Primary care providers (PCPs) are at the frontlines of COPD management, and they play a critical role across the full spectrum of the COPD patient journey from initial recognition and diagnosis to treatment optimization and referral to specialty care. The Canadian Thoracic Society (CTS) recently updated their guideline on pharmacotherapy in patients with stable COPD, and there are several key changes that have a direct impact on COPD management in the primary care setting. Notably, it is the first guideline to formally make recommendations on mortality reduction in COPD, which elevates this disease to the same league as other chronic diseases that are commonly managed in primary care and where optimized pharmacotherapy can reduce all-cause mortality. It also recommends earlier and more aggressive initial maintenance inhaler therapy across all severities of COPD, and preferentially favors the use of single inhaler therapies over multiple inhaler regimens. This review summarizes some of the key guideline changes and offers practical tips on how to implement the new recommendations in primary care. It also addresses other barriers to optimal COPD management in the primary care setting that are not addressed by the guideline update and suggests strategies on how they could be overcome.

A community health worker led diabetes self-management education program: Reducing patient and system burden

AIMS

Conduct a secondary analysis of the TIME (Telehealth-supported, Integrated Community Health Workers (CHWs), Medication access, diabetes Education) made simple trial (SIMPLE) to evaluate healthcare utilization and explore variables that may have influenced HbA1c.

METHODS

Participants (N = 134 [67/group]) were low-income, uninsured Hispanics with or at risk for type 2 diabetes mellitus. We included in-person and telehealth clinician visits, other visits, missed visits, orders placed, and guideline-adherence (e.g., vaccinations, quarterly HbA1c for uncontrolled diabetes). Using multivariable models, we explored for associations between HbA1c changes and these measures.

RESULTS

The control arm had higher missed visits rates (intervention: 45 %; control: 56 %; p = 0.007) and missed telehealth appointments (intervention: 10 %; control: 27.4 %; p = 0.04). The intervention group received more COVID vaccinations than the control (p = 0.005). Other health measures were non-significant between groups. Intervention individuals' HbA1c improved with more missed visits (-0.60 %; p < 0.01) and worsened with improved guideline-adherent HbA1c measurements (HbA1c: 1.2 %; p = 0.057). The control group had non-significant HbA1c associations.

CONCLUSIONS

Findings suggest that the SIMPLE trial's improved HbA1c levels stemmed from a CHW-driven intervention and not additional healthcare contact. Exploratory outcomes resulted in seemingly counterintuitive HbA1c associations with missed visits and guideline-adherent measurements; these may suggest that an intervention that enhances communication provides support to reduce the amount of follow-up needed by participants without sacrificing clinical improvements.

The Importance of Autonomy and Performance Goals in Perceived Workload Among Behavioral Health Providers

OBJECTIVE

The authors sought to assess workplace characteristics associated with perceived reasonable workload among behavioral health care providers in the Veterans Health Administration.

METHODS

The authors evaluated perceived reasonable workload and workplace characteristics from the 2019 All Employee Survey (AES; N=14,824) and 2019 Mental Health Provider Survey (MHPS; N=10,490) and facility-level staffing ratios from Mental Health Onboard Clinical Dashboard data. Nine AES and 15 MHPS workplace predictors of perceived reasonable workload, 11 AES and six MHPS demographic predictors, and facility-level staffing ratios were included in mixed-effects logistic regression models.

RESULTS

In total, 8,874 (59.9%) AES respondents and 5,915 (56.4%) MHPS respondents reported having a reasonable workload. The characteristics most strongly associated with perceived reasonable workload were having attainable performance goals (average marginal effect [AME]=0.10) in the AES and ability to schedule patients as frequently as indicated (AME=0.09) in the MHPS. Other AES characteristics significantly associated with reasonable workload included having appropriate resources, support for personal life, skill building, performance recognition, concerns being addressed, and no supervisor favoritism. MHPS characteristics included not having collateral duties that reduce care time, staffing levels not affecting care, support staff taking over some responsibilities, having spirit of teamwork, primary care-mental health integration, participation in performance discussions, well-coordinated mental health care, effective veteran programs, working at the top of licensure, and feeling involved in improving access. Facility-level staffing ratios were not significantly associated with perceived reasonable workload.

CONCLUSIONS

Leadership may consider focusing resources on initiatives that support behavioral health providers' autonomy to schedule patients as clinically indicated and develop attainable performance goals.

Primary Care in the United States: Past, Present and Future

Even though a well-functioning primary care system is widely acknowledged as critical to population health, the number of primary care physicians (PCPs) practicing in the United States has steadily declined, and PCPs are in short supply. The reasons are multiple and include inadequate income relative to other specialties, excessive administrative demands on PCPs and the lack of respect given to primary care specialties during medical school and residency. Advanced practice nurses can augment the services of primary care physicians but cannot substitute for them. To change this situation, we need action on several fronts. Medical schools should give preference to students who are more likely to enter the primary care specialties. The income gap between primary care and other specialties should be narrowed. The administrative load placed on PCPs, including cumbersome electronic medical records, must be lessened. Insurers, including Medicare and Medicaid, must provide the resources to allow primary care physicians to act as leaders of multidisciplinary teams.

Real-World Use of Inhaled COPD Medications: the Good, the Bad, the Ugly

Patients with chronic obstructive pulmonary disease (COPD) rely primarily on inhaled medications to control and treat symptoms. Although the medications delivered by inhaler devices are often quite efficacious when delivered to the lung, the real-world effectiveness of these inhaler devices often falls short. Barriers to effective inhaler use include inhaler misuse and cost-related nonadherence. Inhaler misuse can be reduced with appropriate education which leads to improved outcomes. Education can be provided in multiple settings by a wide array of clinicians and clinical team members including pharmacists, respiratory therapists, nurses, physicians, advanced practice nurses, physician assistants, and community health workers, among others. However, despite decades of research and existing effective strategies across settings and types of educators, overall not much progress has been made with respect to effective inhaler technique among populations of patients with COPD in nearly half a century. Similarly, cost-related nonadherence is a long-standing and critical barrier to effective control of COPD, with limited improvements, especially until very recently. This perspective reviews the current promising directions for inhaler-based therapies, ongoing challenges, and critical issues requiring urgent attention.

Multilevel perspectives on the implementation of the collaborative care model for depression and anxiety in primary care

BACKGROUND

The Collaborative Care Model (CoCM) is an evidence-based mental health treatment in primary care. A greater understanding of the determinants of successful CoCM implementation, particularly the characteristics of multi-level implementers, is needed.

METHODS

This study was a process evaluation of the Collaborative Behavioral Health Program (CBHP) study (NCT04321876) in which CoCM was implemented in 11 primary care practices. CBHP implementation included screening for depression and anxiety, referral to CBHP, and treatment with behavioral care managers (BCMs). Interviews were conducted 4- and 15-months post-implementation with BCMs, practice managers, and practice champions (primary care clinicians). We used framework-guided rapid qualitative analysis with the Consolidated Framework for Implementation Research, Version 2.0, focused on the Individuals domain, to analyze response data. These data represented the roles of Mid-Level Leaders (practice managers), Implementation Team Members (clinicians, support staff), Innovation Deliverers (BCMs), and Innovation Recipients (primary care/CBHP patients) and their characteristics (i.e., Need, Capability, Opportunity, Motivation).

RESULTS

Mid-level leaders (practice managers) were enthusiastic about CBHP (Motivation), appreciated integrating mental health services into primary care (Need), and had time to assist clinicians (Opportunity). Although CBHP lessened the burden for implementation team members (clinicians, staff; Need), some were hesitant to reallocate patient care (Motivation). Innovation deliverers (BCMs) were eager to deliver CBHP (Motivation) and confident in assisting patients (Capability); their opportunity to deliver CBHP could be limited by clinician referrals (Opportunity). Although CBHP alleviated barriers for innovation recipients (patients; Need), it was difficult to secure services for those with severe conditions (Capability) and certain insurance types (Opportunity).

CONCLUSIONS

Overall, respondents favored sustaining CoCM and highlighted the positive impacts on the practice, health care team, and patients. Participants emphasized the benefits of integrating mental health services into primary care and how CBHP lessened the burden on clinicians while providing patients with comprehensive care. Barriers to CBHP implementation included ensuring appropriate patient referrals, providing treatment for patients with higher-level needs, and incentivizing clinician engagement. Future CoCM implementation should include strategies focused on education and training, encouraging clinician buy-in, and preparing referral paths for patients with more severe conditions or diverse needs.

TRIAL REGISTRATION

ClinicalTrials.gov(NCT04321876). Registered: March 25,2020. Retrospectively registered.

Fostering Psychological Safety and Supporting Mental Health Among Cardiovascular Health Care Workers: A Science Advisory From the American Heart Association

The psychological safety of health care workers is an important but often overlooked aspect of the rising rates of burnout and workforce shortages. In addition, mental health conditions are prevalent among health care workers, but the associated stigma is a significant barrier to accessing adequate care. More efforts are therefore needed to foster health care work environments that are safe and supportive of self-care. The purpose of this brief document is to promote a culture of psychological safety in health care organizations. We review ways in which organizations can create a psychologically safe workplace, the benefits of a psychologically safe workplace, and strategies to promote mental health and reduce suicide risk.

Mind the gap in kidney care: translating what we know into what we do

Historically, it takes an average of 17 years for new treatments to move from clinical evidence to daily practice. Given the highly effective treatments now available to prevent or delay kidney disease onset and progression, this is far too long. Now is the time to narrow the gap between what we know and what we do. Clear guidelines exist for the prevention and management of common risk factors for kidney disease, such as hypertension and diabetes, but only a fraction of people with these conditions are diagnosed worldwide, and even fewer are treated to target. Similarly, the vast majority of people living with kidney disease are unaware of their condition, because it is often silent in the early stages. Even among patients who have been diagnosed, many do not receive appropriate treatment for kidney disease. Considering the serious consequences of kidney disease progression, kidney failure, or death, it is imperative that treatments are initiated early and appropriately. Opportunities to diagnose and treat kidney disease early must be maximized beginning at the primary care level. Many systematic barriers exist, ranging from the patient to the clinician to the health systems to societal factors. To preserve and improve kidney health for everyone everywhere, each of these barriers must be acknowledged so that sustainable solutions are developed and implemented without further delay.

Perceptions of Communities of Practice and Sense of Belonging: Focus Groups of Academic Pediatric Faculty

BACKGROUND

Providing the opportunity for collaboration around a central purpose to improve skills and exchange knowledge, the Community of Practice model can be useful for faculty development. A sense of belonging enhances the engagement in communities. Yet, the barriers and contributors to academic medicine faculty's sense of belonging in communities are not as well explored.

METHODS

Through focus groups with 21 academic pediatric faculty conducted between January and March 2023, this qualitative study examined knowledge of Communities of Practice and the factors that affect sense of belonging and engagement. The authors iteratively coded transcripts to generate themes.

RESULTS

Community accessibility; opportunities for active engagement; working under a clear, shared purpose; and personal interactions enhanced faculty sense of belonging. Barriers to engagement included competing demands, process challenges, and uncertainty.

DISCUSSION

Study results suggest strategies for the promotion of faculty sense of belonging and engagement in Communities of Practice. Consideration of contributors to a sense of belonging may enhance efforts to design and improve engaging faculty development programs.

Electronic Health Record Population Health Management for Chronic Kidney Disease Care: A Cluster Randomized Clinical Trial

Importance

Large gaps in clinical care in patients with chronic kidney disease (CKD) lead to poor outcomes.

Objective

To compare the effectiveness of an electronic health record-based population health management intervention vs usual care for reducing CKD progression and improving evidence-based care in high-risk CKD.

Design, Setting, and Participants

The Kidney Coordinated Health Management Partnership (Kidney CHAMP) was a pragmatic cluster randomized clinical trial conducted between May 2019 and July 2022 in 101 primary care practices in Western Pennsylvania. It included patients aged 18 to 85 years with an estimated glomerular filtration rate (eGFR) of less than 60 mL/min/1.73m2 with high risk of CKD progression and no outpatient nephrology encounter within the previous 12 months.

Interventions

Multifaceted intervention for CKD comanagement with primary care clinicians included a nephrology electronic consultation, pharmacist-led medication management, and CKD education for patients. The usual care group received CKD care from primary care clinicians as usual.

Main Outcomes and Measures

The primary outcome was time to 40% or greater reduction in eGFR or end-stage kidney disease.

Results

Among 1596 patients (754 intervention [47.2%]; 842 control [52.8%]) with a mean (SD) age of 74 (9) years, 928 (58%) were female, 127 (8%) were Black, 9 (0.6%) were Hispanic, and the mean (SD) estimated glomerular filtration rate was 36.8 (7.9) mL/min/1.73m2. Over a median follow-up of 17.0 months, there was no significant difference in rate of primary outcome between the 2 arms (adjusted hazard ratio, 0.96; 95% CI, 0.67-1.38; P = .82). Angiotensin-converting enzyme inhibitor/angiotensin receptor blocker exposure was more frequent in intervention arm compared with the control group (rate ratio, 1.21; 95% CI, 1.02-1.43). There was no difference in the secondary outcomes of hypertension control and exposure to unsafe medications or adverse events between the arms. Several COVID-19-related issues contributed to null findings in the study.

Conclusion and Relevance

In this study, among patients with moderate-risk to high-risk CKD, a multifaceted electronic health record-based population health management intervention resulted in more exposure days to angiotensin-converting enzyme inhibitors/angiotensin receptor blockers but did not reduce risk of CKD progression or hypertension control vs usual care.

Trial Registration

ClinicalTrials.gov Identifier: NCT03832595.