Respiratory viral coinfections in pediatric patients in the primary care setting: a multicenter prospective study within the COPEDICAT network.

Acute respiratory viral infections pose a significant healthcare burden on the pediatric population globally, but data on the dissemination pattern in the community due to the COVID-19 pandemic are scarce. We conducted a two-year prospective multicenter study in Catalonia (Spain) that examined the prevalence and coinfection dynamics of respiratory viruses among 1276 pediatric patients from different age groups attending primary care. Coinfection analysis demonstrated complex patterns and revealed a coinfection rate of 23.8% for SARS-CoV-2, often in association with rhinovirus or influenza A. This study provides valuable data to understand post-pandemic viral interactions, which is imperative for public health interventions.

Integration of a fasting-mimicking diet programme in primary care for type 2 diabetes reduces the need for medication and improves glycaemic control: a 12-month randomised controlled trial.

AIMS/HYPOTHESIS: The aim of this study was to evaluate the impact on metabolic control of periodic use of a 5-day fasting-mimicking diet (FMD) programme as an adjunct to usual care in people with type 2 diabetes under regular primary care surveillance. METHODS: In this randomised, controlled, assessor-blinded trial, people with type 2 diabetes using metformin as the only glucose-lowering drug and/or diet for glycaemic control were randomised to receive 5-day cycles of an FMD monthly as an adjunct to regular care by their general practitioner or to receive regular care only. The primary outcomes were changes in glucose-lowering medication (as reflected by the medication effect score) and HbA1c levels after 12 months. Moreover, changes in use of glucose-lowering medication and/or HbA1c levels in individual participants were combined to yield a clinically relevant outcome measure ('glycaemic management'), which was categorised as improved, stable or deteriorated after 1 year of follow-up. Several secondary outcome measures were also examined, including changes in body weight. RESULTS: One hundred individuals with type 2 diabetes, age 18-75 years, BMI ≥27 kg/m2, were randomised to the FMD group (n=51) or the control group (n=49). Eight FMD participants and ten control participants were lost to follow-up. Intention-to-treat analyses, using linear mixed models, revealed adjusted estimated treatment effects for the medication effect score (-0.3; 95% CI -0.4, -0.2; p<0.001), HbA1c (-3.2 mmol/mol; 95% CI -6.2, -0.2 and -0.3%; 95% CI -0.6, -0.0; p=0.04) and body weight (-3.6 kg; 95% CI -5.2, -2.1; p<0.001) at 12 months. Glycaemic management improved in 53% of participants using FMD vs 8% of control participants, remained stable in 23% vs 33%, and deteriorated in 23% vs 59% (p<0.001). CONCLUSIONS/INTERPRETATION: Integration of a monthly FMD programme in regular primary care for people with type 2 diabetes who use metformin as the only glucose-lowering drug and/or diet for glycaemic control reduces the need for glucose-lowering medication, improves HbA1c despite the reduction in medication use, and appears to be safe in routine clinical practice. TRIAL REGISTRATION: ClinicalTrials.gov NCT03811587 FUNDING: The project was co-funded by Health~Holland, Top Sector Life Sciences & Health, the Dutch Diabetes Foundation and L-Nutra.

Antibiotic Prescribing Patterns for Respiratory Tract Illnesses Following the Conclusion of an Education and Feedback Intervention in Primary Care.

BACKGROUND: A study previously conducted in primary care practices found that implementation of an educational session and peer comparison feedback was associated with reduced antibiotic prescribing for respiratory tract diagnoses (RTDs). Here, we assess the long-term effects of this intervention on antibiotic prescribing following cessation of feedback. METHODS: RTD encounters were grouped into tiers based on antibiotic prescribing appropriateness: tier 1, almost always indicated; tier 2, possibly indicated; and tier 3, rarely indicated. A χ2 test was used to compare prescribing between 3 time periods: pre-intervention, intervention, and post-intervention (14 months following cessation of feedback). A mixed-effects multivariable logistic regression analysis was performed to assess the association between period and prescribing. RESULTS: We analyzed 260 900 RTD encounters from 29 practices. Antibiotic prescribing was more frequent in the post-intervention period than in the intervention period (28.9% vs 23.0%, P < .001) but remained lower than the 35.2% pre-intervention rate (P < .001). In multivariable analysis, the odds of prescribing were higher in the post-intervention period than the intervention period for tier 2 (odds ratio [OR], 1.19; 95% confidence interval [CI]: 1.10-1.30; P < .05) and tier 3 (OR, 1.20; 95% CI: 1.12-1.30) indications but was lower compared to the pre-intervention period for each tier (OR, 0.66; 95% CI: 0.59-0.73 tier 2; OR, 0.68; 95% CI: 0.61-0.75 tier 3). CONCLUSIONS: The intervention effects appeared to last beyond the intervention period. However, without ongoing provider feedback, there was a trend toward increased prescribing. Future studies are needed to determine optimal strategies to sustain intervention effects.

Influence of age on clinical characteristics, pharmacological management and exacerbations in children with asthma.

BACKGROUND: Asthma trials and guidelines often do not distinguish between adolescents and younger children. Using a large English data set, we evaluated the impact of age on asthma characteristics, management and exacerbations. METHODS: Primary care medical records, 2004-2021, were linked to hospital records. Children were categorised by age at diagnosis and followed until the next age bracket. Ages (based on management guidelines) were 5-8 years, 9-11 years and adolescents (12-16 years). Characteristics evaluated included body mass index, allergies and events before and after diagnosis (symptoms, medication). Exacerbation incidence was calculated. Multivariable Cox proportional hazards determined associations with exacerbations. RESULTS: 119 611 children were eligible: 61 940 (51.8%) 5-8 years, 32 316 (27.7%) 9-11 years and 25 355 (21.2%) adolescents. Several characteristics differed by age; children aged 5-8 years had the highest proportion with eczema, food/drug allergy and cough, but adolescents had the highest proportion with overweight/obesity, aeroallergen sensitisation, dyspnoea and short-acting-beta-agonist only use. Exacerbation rates were highest in the youngest children (per 100 person-years (95% CI): 5-8 years =13.7 (13.4-13.9), 9-11 years =10.0 (9.8-10.4), adolescents =6.7 (6.5-7.0)). Exacerbation risk factors also differed by age; 5-8 years: male, eczema and food/drug allergy were strongly associated, but for children ≥9 years old, obesity and aeroallergen sensitisation were strongly associated. For all children, higher socioeconomic deprivation was significantly associated with having an exacerbation. Delayed diagnosis was most common in children aged 5-8 years and was associated with increased exacerbations across all ages. CONCLUSION: Children's baseline characteristics and exacerbation rates varied according to their age group. Clinical guidelines should consider age at time of diagnosis more discretely than the broad range, 5-16 years, as this appears to impact on asthma severity and management.

Association between socioeconomic deprivation, ethnicity and health outcomes in preschool children with recurrent wheeze in England: a retrospective cohort study.

BACKGROUND: Preschool-aged children have among the highest burden of acute wheeze. We investigated differences in healthcare use, treatment and outcomes for recurrent wheeze/asthma in preschoolers from different ethno-socioeconomic backgrounds. METHODS: Retrospective cohort study using data from the Clinical Practice Research Datalink linked to Hospital Episode Statistics in England. We reported number of acute presentations and hospitalisations stratified by index of multiple deprivation (IMD) and ethnicity; and factors associated with treatment non-escalation, and hospitalisation rates using multivariable logistic and Poisson regression models. RESULTS: 194 291 preschool children were included. In children not trialled on asthma preventer medications, children from the most deprived IMD quintile (adjusted OR 1.67; 95% CI 1.53 to 1.83) and South Asian (1.77; 1.64 to 1.91) children were more likely to have high reliever usage and where specialist referral had not occurred, the odds of referral being indicated was higher in the most deprived quintile (1.39; 1.28 to 1.52) and South Asian (1.86; 1.72 to 2.01) children compared with the least deprived quintile and white children, respectively.Hospitalisation rates for wheeze/asthma were significantly higher in children from the most deprived quintile (adjusted IRR 1.20; 95% CI 1.13 to 1.27) compared with the least, and in South Asian (1.57; 1.44 to 1.70) and black (1.32; 1.22 to 1.42) compared with white children. CONCLUSIONS: We identified inequalities in wheeze/asthma treatment and morbidity in preschool children from more deprived, and non-white backgrounds. A multifaceted approach to tackle health inequality at both the national and local levels, which includes a more integrated and standardised approach to treatment, is needed to improve health outcomes in children with preschool wheeze/asthma.

Understanding the causes of missingness in primary care: a realist review.

BACKGROUND: Although missed appointments in healthcare have been an area of concern for policy, practice and research, the primary focus has been on reducing single 'situational' missed appointments to the benefit of services. Little attention has been paid to the causes and consequences of more 'enduring' multiple missed appointments in primary care and the role this has in producing health inequalities. METHODS: We conducted a realist review of the literature on multiple missed appointments to identify the causes of 'missingness.' We searched multiple databases, carried out iterative citation-tracking on key papers on the topic of missed appointments and identified papers through searches of grey literature. We synthesised evidence from 197 papers, drawing on the theoretical frameworks of candidacy and fundamental causation. RESULTS: Missingness is caused by an overlapping set of complex factors, including patients not identifying a need for an appointment or feeling it is 'for them'; appointments as sites of poor communication, power imbalance and relational threat; patients being exposed to competing demands, priorities and urgencies; issues of travel and mobility; and an absence of choice or flexibility in when, where and with whom appointments take place. CONCLUSIONS: Interventions to address missingness at policy and practice levels should be theoretically informed, tailored to patients experiencing missingness and their identified needs and barriers; be cognisant of causal domains at multiple levels and address as many as practical; and be designed to increase safety for those seeking care.

Development of prescribing indicators related to opioid-related harm in patients with chronic pain in primary care-a modified e-Delphi study.

BACKGROUND: Long-term opioid use is associated with dependency, addiction, and serious adverse events. Although a framework to reduce inappropriate opioid prescribing exists, there is no consensus on prescribing indicators for preventable opioid-related problems in patients with chronic pain in primary care in the UK. This study aimed to identify opioid prescription scenarios for developing indicators for prescribing opioids to patients with chronic pain in primary care. METHODS: Scenarios of opioid prescribing indicators were identified from a literature review, guidelines, and government reports. Twenty-one indicators were identified and presented in various opioid scenarios concerning opioid-related harm and adverse effects, drug-drug interactions, and drug-disease interactions in certain disease conditions. After receiving ethics approval, two rounds of electronic Delphi panel technique surveys were conducted with 24 expert panellists from the UK (clinicians, pharmacists, and independent prescribers) from August 2020 to February 2021. Each indicator was rated on a 1-9 scale from inappropriate to appropriate. The score's median, 30th and 70th percentiles, and disagreement index were calculated. RESULTS: The panel unanimously agreed that 15 out of the 21 opioid prescribing scenarios were inappropriate, primarily due to their potential for causing harm to patients. This consensus was reflected in the low appropriateness scores (median ranging from 1 to 3). There were no scenarios with a high consensus that prescribing was appropriate. The indicators were considered inappropriate due to drug-disease interactions (n = 8), drug-drug interactions (n = 2), adverse effects (n = 3), and prescribed dose and duration (n = 2). Examples included prescribing opioids during pregnancy, concurrently with benzodiazepines, long-term without a laxative prescription and prescribing > 120-mg morphine milligram equivalent per day or long-term duration over 3 months after surgery. CONCLUSIONS: The high agreement on opioid prescribing indicators indicates that these potentially hazardous consequences are relevant and concerning to healthcare practitioners. Future research is needed to evaluate the feasibility and implementation of these indicators within primary care settings. This research will provide valuable insights and evidence to support opioid prescribing and deprescribing strategies. Moreover, the findings will be crucial in informing primary care practitioners and shaping quality outcome frameworks and other initiatives to enhance the safety and quality of care in primary care settings.

Impact of mHealth interventions on maternal, newborn, and child health from conception to 24 months postpartum in low- and middle-income countries: a systematic review.

BACKGROUND: Mobile health (mHealth) technologies have been harnessed in low- and middle-income countries (LMICs) to address the intricate challenges confronting maternal, newborn, and child health (MNCH). This review aspires to scrutinize the effectiveness of mHealth interventions on MNCH outcomes during the pivotal first 1000 days of life, encompassing the period from conception through pregnancy, childbirth, and post-delivery, up to the age of 2 years. METHODS: A comprehensive search was systematically conducted in May 2022 across databases, including PubMed, Cochrane Library, Embase, Cumulative Index to Nursing & Allied Health (CINAHL), Web of Science, Scopus, PsycINFO, and Trip Pro, to unearth peer-reviewed articles published between 2000 and 2022. The inclusion criteria consisted of (i) mHealth interventions directed at MNCH; (ii) study designs, including randomized controlled trials (RCTs), RCT variations, quasi-experimental designs, controlled before-and-after studies, or interrupted time series studies); (iii) reports of outcomes pertinent to the first 1000 days concept; and (iv) inclusion of participants from LMICs. Each study was screened for quality in alignment with the Cochrane Handbook for Systematic Reviews of Interventions and the Joanne Briggs Institute Critical Appraisal tools. The included articles were then analyzed and categorized into 12 mHealth functions and outcome domain categories (antenatal, delivery, and postnatal care), followed by forest plot comparisons of effect measures. RESULTS: From the initial pool of 7119 articles, we included 131 in this review, comprising 56 RCTs, 38 cluster-RCTs, and 37 quasi-experimental studies. Notably, 62% of these articles exhibited a moderate or high risk of bias. Promisingly, mHealth strategies, such as dispatching text message reminders to women and equipping healthcare providers with digital planning and scheduling tools, exhibited the capacity to augment antenatal clinic attendance and enhance the punctuality of child immunization. However, findings regarding facility-based delivery, child immunization attendance, and infant feeding practices were inconclusive. CONCLUSIONS: This review suggests that mHealth interventions can improve antenatal care attendance and child immunization timeliness in LMICs. However, their impact on facility-based delivery and infant feeding practices varies. Nevertheless, the potential of mHealth to enhance MNCH services in resource-limited settings is promising. More context-specific implementation studies with rigorous evaluations are essential.

Prevalence and Characteristics of Adults with Difficult-to-Treat Rheumatoid Arthritis in a Large Patient Registry.

OBJECTIVES: An estimated 5-20% of patients with rheumatoid arthritis (RA) fail multiple treatments and are considered "difficult-to-treat" (D2T), posing a substantial clinical challenge for rheumatologists. A European Alliance of Associations for Rheumatology (EULAR) task force proposed a definition of D2T-RA in 2021. We applied EULAR's D2T definition in a cohort of patients with established RA to assess prevalence and we compared clinical characteristics of participants with D2T-RA with matched comparisons. METHODS: Data from the longitudinal Brigham and Women's Hospital Rheumatoid Arthritis Sequential Study (BRASS) registry was used. Participants were classified as D2T if they met EULAR's definition. A comparison group of non-D2T RA patients were matched 2:1 to every D2T patient, and differences in characteristics were evaluated in descriptive analyses. Prevalence rates of D2T were estimated using Poisson regression. RESULTS: We estimated the prevalence of D2T-RA to be 14.4 (95% CI: 12.8-16.3 per 100 persons) among 1,581 participants with RA, and 22.3 (95% CI: 19.9-25.0 per 100 persons) among 1,021 who were biologic/targeted synthetic DMARD experienced. We observed several differences in demographics, comorbidities, and RA disease activity between D2T-RA and non-D2T RA comparisons. Varying EULAR sub-criteria among all participants in BRASS resulted in a range of D2T-RA prevalence rates, from 0.6-17.5 per 100 persons. CONCLUSION: EULAR's proposed definition of D2T-RA identifies patients with RA who have not achieved treatment targets. Future research should explore heterogeneity in these patients and evaluate outcomes to inform the design of future studies aimed at developing more effective RA management protocols.

Prodromal symptoms of rheumatoid arthritis in a primary care database: variation by ethnicity and socioeconomic status.

OBJECTIVES: To assess whether prodromal symptoms of rheumatoid arthritis (RA), as recorded in the Clinical Practice Research Datalink Aurum (CPRD) database of English primary care records, differ by ethnicity and socioeconomic status. METHODS: A cross-sectional study to determine the coding of common symptoms (≥0.1% in the sample) in the 24 months preceding RA diagnosis in CPRD Aurum, recorded between January 1st 2004 to May 1st 2022. Eligible cases were adults with a code for RA diagnosis. For each symptom, a logistic regression was performed with the symptom as dependent variable, and ethnicity and socioeconomic status as independent variables. Results were adjusted for sex, age, BMI, and smoking status. White ethnicity and the highest socioeconomic quintile were comparators. RESULTS: In total, 70115 cases were eligible for inclusion, of which 66.4% female. Twenty-one symptoms were coded in > 0.1% of cases so were included in the analysis. Patients of South Asian ethnicity had higher frequency of codes for several symptoms, with the largest difference by odds ratio being muscle cramps (OR 1.71, 1.44-2.57) and shoulder pain (1.44, 1.25-1.66). Patients of Black ethnicity had higher prevalence of several codes including unintended weight loss (2.02, 1.25-3.28) and ankle pain (1.51, 1.02-2.23). Low socioeconomic status was associated with morning stiffness (1.74, 1.08-2.80) and falls (1.37, 2.03-1.82). CONCLUSION: There are significant differences in coded symptoms between demographic groups, which must be considered in clinical practice in diverse populations and to avoid algorithmic bias in prediction tools derived from routinely collected healthcare data.

Secondary fracture prevention in primary care: a narrative review.

The global burden of osteoporosis continues to rise with an ageing population. Untreated osteoporotic fractures not only heighten the risk of subsequent fractures but are associated with excess mortality. Although primary care guidelines consistently stress the importance of secondary fracture prevention, fewer than 20% of patients are appropriately treated for osteoporosis following an initial osteoporotic fracture. This worldwide phenomenon is known as the osteoporosis care gap. This literature review examines the barriers to secondary fracture prevention in primary care and evaluates the effectiveness of targeted primary care interventions. Common themes emerged from the majority of qualitative studies, including a need for improved communication between the hospital team and primary care, better defined responsibilities and osteoporosis-directed education for the primary care physicians. Quantitative studies demonstrated that most targeted, intensive interventions aimed at educating patients and their primary care physician about osteoporosis treatment significantly increased rates of investigation and treatment. Greater uptake of models of secondary fracture prevention in primary care is urgently needed to address the osteoporosis care gap.

Establishing consensus recommendations for long-term osteoporosis care for patients who have attended an Australian fracture liaison service: a Delphi study.

Coordinating healthcare activities between fracture liaison services (FLS) and primary care is challenging. Using a Delphi technique, we developed 34 consensus statements to support improved care coordination across this healthcare transition. PURPOSE: Evidence supporting an optimal coordination strategy between fracture liaison services (FLS) and primary care is lacking. This study aimed to develop consensus statements to support consistency and benchmarking of clinical practice to improve coordination of care for patients transitioning from FLS to primary care following an osteoporotic fracture. METHODS: A Delphi technique was used to develop consensus among a panel of experts, including FLS clinicians (medical and non-medical), general practitioners (GPs), and consumers. RESULTS: Results of a preparatory questionnaire (n = 33) informed the development of 34 statements for review by expert panellists over two Delphi rounds (n = 25 and n = 19, respectively). The majority of participants were from New South Wales (82%), employed as FLS clinicians (78.8%) and working in metropolitan centres (60.6%). Consensus was achieved for 24/34 statements in round one and 8/10 statements in round two. All statements concerning patient education, communication, and the GP-patient relationship achieved consensus. Expert opinions diverged in some areas of clinician roles and responsibilities and long-term monitoring and management recommendations. CONCLUSION: We found clear consensus among experts in many key areas of FLS integration with primary care. While experts agreed that primary care is the most appropriate setting for long-term osteoporosis care, overall confidence in primary care systems to achieve this was low. The role of (and responsibility for) adherence monitoring in a resource-limited setting remains to be defined.

Phenotypes of Polish primary care patients using hierarchical clustering: Exploring the risk of mortality in the LIPIDOGEN2015 study cohort.

BACKGROUND: Comorbidities in primary care do not occur in isolation but tend to cluster together causing various clinically complex phenotypes. This study aimed to distinguish phenotype clusters and identify the risks of all-cause mortality in primary care. METHODS: The baseline cohort of the LIPIDOGEN2015 sub-study involved 1779 patients recruited by 438 primary care physicians. To identify different phenotype clusters, we used hierarchical clustering and investigated differences between clinical characteristics and mortality between clusters. We then performed causal analyses using causal mediation analysis to explore potential mediators between different clusters and all-cause mortality. RESULTS: A total of 1756 patients were included (mean age 51.2, SD 13.0; 60.3% female), with a median follow-up of 5.7 years. Three clusters were identified: Cluster 1 (n = 543) was characterised by overweight/obesity (body mass index ≥ 25 kg/m2), older (age ≥ 65 years), more comorbidities; Cluster 2 (n = 459) was characterised by non-overweight/obesity, younger, fewer comorbidities; Cluster 3 (n = 754) was characterised by overweight/obesity, younger, fewer comorbidities. Adjusted Cox regression showed that compared with Cluster 2, Cluster 1 had a significantly higher risk of all-cause mortality (HR 3.87, 95% CI: 1.24-15.91), whereas this was insignificantly different for Cluster 3. Causal mediation analyses showed that decreased protein thiol groups mediated the hazard effect of all-cause mortality in Cluster 1 compared with Cluster 2, but not between Clusters 1 and 3. CONCLUSION: Overweight/obesity older patients with more comorbidities had the highest risk of long-term all-cause mortality, and in the young group population overweight/obesity insignificantly increased the risk in the long-term follow-up, providing a basis for stratified phenotypic risk management.

Prevalence and risk factors for milk allergy overdiagnosis in the BEEP trial cohort.

BACKGROUND: Cow's milk allergy (CMA) overdiagnosis in young children appears to be increasing and has not been well characterised. We used a clinical trial population to characterise CMA overdiagnosis and identify individual-level and primary care practice-level risk factors. METHODS: We analysed data from 1394 children born in England in 2014-2016 (BEEP trial, ISRCTN21528841). Participants underwent formal CMA diagnosis at ≤2 years. CMA overdiagnosis was defined in three separate ways: parent-reported milk reaction; primary care record of milk hypersensitivity symptoms; and primary care record of low-allergy formula prescription. RESULTS: CMA was formally diagnosed in 19 (1.4%) participants. CMA overdiagnosis was common: 16.1% had parent-reported cow's milk hypersensitivity, 11.3% primary care recorded milk hypersensitivity and 8.7% had low-allergy formula prescription. Symptoms attributed to cow's milk hypersensitivity in participants without CMA were commonly gastrointestinal and reported from a median age of 49 days. Low-allergy formula prescriptions in participants without CMA lasted a median of 10 months (interquartile range 1, 16); the estimated volume consumed was a median of 272 litres (26, 448). Risk factors for CMA overdiagnosis were high practice-based low-allergy formula prescribing in the previous year and maternal report of antibiotic prescription during pregnancy. Exclusive formula feeding from birth was associated with increased low-allergy formula prescription. There was no evidence that practice prescribing of paediatric adrenaline auto-injectors or anti-reflux medications, or maternal features such as anxiety, age, parity and socioeconomic status were associated with CMA overdiagnosis. CONCLUSION: CMA overdiagnosis is common in early infancy. Risk factors include high primary care practice-based low-allergy formula prescribing and maternal report of antibiotic prescription during pregnancy.

A Pragmatic Approach to Identifying and Profiling Primary Care Clinicians and Primary Care Practices in the USA.

BACKGROUND: There are no consistent data on US primary care clinicians and primary care practices owing to the lack of standard methods to identify them, hampering efforts in primary care improvement. METHODS: We develop a pragmatic framework that identifies primary care clinicians and practices in the context of the US healthcare system, and applied the framework to the IQVIA OneKey Healthcare Professional database to identify and profile primary care clinicians and practices in the USA. RESULTS: Our framework prescribes sequential steps to identify primary care clinicians by cross-examining clinician specialties and organizational affiliations, and then identify primary care practices based on organization types and presence of primary care clinicians. Applying this framework to the 2021 IQVIA data, we identified 365,751 physicians with a primary specialty in primary care, and after excluding those who further specialized (24%), served as hospitalists (5%), or worked in non-primary care settings (41%), we determined that 179,369 (49%) of them were actually practicing primary care. We identified 287,506 nurse practitioners and 134,083 physician assistants and determined that 88,574 (31%) and 29,781 (22%), respectively, were delivering primary care. We identified 94,489 primary care practices, and found that 45% of them were with one primary care physician, 15% had two physicians, 12% employed nurse practitioners or physician assistants only, and 19% employed both primary care physicians and specialists. CONCLUSIONS: Our approach offers a pragmatic and consistent alternative to the diverse methods currently used to identify and profile primary care workforce and organizations in the USA.

A Qualitative Study of Drivers for Use of the Primary Care Exception Among Internal Medicine Teaching Faculty.

BACKGROUND: The Primary Care Exception (PCE) is a billing rule from the Centers for Medicare and Medicaid Services (CMS) that allows supervising physicians to bill for ambulatory care provided by a resident without their direct supervision. There has been increased focus on entrustment as a method to assess readiness for unsupervised practice. OBJECTIVE: To understand the factors influencing attending physicians' use of the PCE in ambulatory settings and identify common themes defining what motivates faculty preceptors to use the PCE. APPROACH: This was a qualitative exploratory study. Participants were interviewed one-on-one using a semi-structured template informed by the entrustment literature. Analysis was conducted using a thematically framed, grounded theory-based approach to identify major themes and subthemes. PARTICIPANTS: Twenty-seven internal medicine teaching faculty took part in a multi-institutional study representing four residency training programs across two academic medical centers in Connecticut. KEY RESULTS: Four predominant categories of themes influencing PCE use were identified: (1) clinical environment factors, (2) attending attitudes, (3) resident characteristics, and (4) patient attributes. An attending's "internal rules" drawn from prior experiences served as a significant driver of PCE non-use regardless of the trainee, patient, or clinical context. A common conflict existed between using the PCE to promote resident autonomy versus waiving the PCE to promote safety. CONCLUSIONS: The PCE can serve as a tool to support resident autonomy, confidence, and overall clinical efficiency. Choice of PCE use by attendings involved complex internal decision-making schema balancing internal, patient, resident, and environmental-related factors. The lack of standardized processes in competency evaluation may increase susceptibility to biases, which could be mitigated by applying standardized modes of assessment that encompass shared principles.

Identifying Patterns of Primary Care In-Person and Telemedicine Use in the Veterans Health Administration: A Latent Class Analysis.

BACKGROUND: The Veterans Health Administration increased synchronous telemedicine (video and telephone visits) in primary care in response to the COVID-19 pandemic. OBJECTIVE: Our objective was to determine veteran use patterns of in-person and telemedicine primary care when all modalities were available. DESIGN: A retrospective cohort analysis. We performed a latent class analysis of primary care visits over a 1-year period to identify veteran subgroup (i.e., class) membership based on amount of primary care use and modality used. Then, we used multinomial logistic regression with a categorical outcome to identify patient characteristics associated with class identification. PARTICIPANTS: A random national sample consisting of 564,580 primary care empaneled veterans in June 2021. MAIN MEASURES: Latent class membership. KEY RESULTS: We identified three latent classes: those with few primary care visits that were predominantly telephone-based (45%), intermediate number of visits of all modalities (50%), and many visits of all modalities (5%). In an adjusted model, characteristics associated with the "few" visits class, compared to the intermediate class, were older age, male sex, White race, further driving distance to primary care, higher Gagne, optimal internet speed, and unmarried status (OR 1.002, 1.52, 1.13, 1.004, 1.04, 1.05, 1.06, respectively; p < .05). Characteristics associated with membership in the "many" visits class, compared to the intermediate class, were Hispanic race, higher JEN Frailty Index and Gagne (OR 1.12, 1.11, 1.02, respectively; p < .05), and higher comorbidity by Care Assessment Need score quartile (Q2 1.73, Q3 2.80, Q4 4.12; p < 0.05). CONCLUSIONS: Veterans accessing primary care in-person or via telemedicine do so primarily in three ways: (1) few visits, predominantly telephone; (2) intermediate visits, all modalities, (3) many visits, all modalities. We found no groups of veterans receiving a majority of primary care through video.

"What We're Doing Now Is More Than Water Cooler": Perspectives of Primary Care Leaders on Leading Through (and Beyond) COVID-19.

BACKGROUND: COVID-19 presented numerous challenges to primary care, but little formal research has explored the experience of practice leaders and their strategies for managing teams as the crisis unfolded. OBJECTIVE: Describe the experience of leaders in US primary care delivery organizations, and their strategies for leading teams during COVID-19 and beyond. DESIGN: Qualitative study using semi-structured interviews performed between 9/15/2020 and 8/31/2021. PARTICIPANTS: Purposive sample of 17 clinical leaders in a range of US primary care organizations. APPROACH: An iterative grounded review of interview transcripts was performed, followed by immersion/crystallization analysis. KEY RESULTS: Early in the pandemic, practice leaders reported facing rapid change and the need for constant decision-making, amidst an environment of stress, fear, and uncertainty, but this was buffered by a strong sense of purpose. Later, leaders noted the emergence of layered crises, and evolving challenges including fatigue, burnout, and strained relationships within their organizations and with the communities they serve. Leaders described four interrelated strategies for supporting their teams: (1) Being intentionally present, physically and emotionally; (2) Frequent and transparent communication; (3) Deepening and broadening relationships; (4) Increasing adaptive decision-making, alternating between formal hierarchical and flexible participatory processes. These strategies were influenced by individual leaders' perceived autonomy, which was impacted by the leader's specific role, and organizational size, complexity, and funding model. CONCLUSIONS: As the burnout and workforce crises have accelerated, the identified strategies can be useful to leaders to support teams and build organizational resilience in primary care moving forward.

Associations of Primary Care Provider Burnout with Quality Improvement, Patient Experience Measurement, Clinic Culture, and Job Satisfaction.

BACKGROUND: Burnout among providers negatively impacts patient care experiences and safety. Providers at Federally Qualified Health Centers (FQHC) are at high risk for burnout due to high patient volumes; inadequate staffing; and balancing the demands of patients, families, and team members. OBJECTIVE: Examine associations of provider burnout with their perspectives on quality improvement (QI), patient experience measurement, clinic culture, and job satisfaction. DESIGN: We conducted a cross-sectional provider survey about their perspectives including the single-item burnout measure. We fit separate regression models, controlling for provider type, gender, being multilingual, and fixed effects for clinic predicting outcome measures from burnout. PARTICIPANTS: Seventy-four providers from 44 clinics in large, urban FQHC (52% response rate; n = 174). MAIN MEASURES: Survey included a single-item, self-defined burnout measure adapted from the Physician Worklife Survey, and measures from the RAND AMA Study survey, Heath Tracking Physician survey, TransforMed Clinician and Staff Questionnaire, Physician Worklife Survey, Minimizing Errors Maximizing Outcomes survey, and surveys by Friedberg et al. 31 and Walling et al. 32 RESULTS: Thirty percent of providers reported burnout. Providers in clinics with more facilitative leadership reported not being burned out (compared to those reporting burnout; p-values < 0.05). More pressures related to patient care and lower job satisfaction were associated with burnout (p-values < 0.05). CONCLUSIONS: Creating provider-team relationships and environments where providers have the time and space necessary to discuss changes to improve care, ideas are shared, leadership supports QI, and QI is monitored and discussed were related to not being burned out. Reducing time pressures and improving support needed for providers to address the high-need levels of FQHC patients can also decrease burnout. Such leadership and support to improving care may be a separate protective factor against burnout. Research is needed to further examine which aspects of leadership drive down burnout and increase provider involvement in change efforts and improving care.

Racial and Ethnic Disparities in the Prescribing of Pain Medication in US Primary Care Settings, 1999-2019: Where Are We Now?

BACKGROUND: Policy initiatives have attempted to reduce healthcare inequalities in the USA, but evidence on whether these initiatives have reduced racial and ethnic disparities in pain treatment in primary care is lacking. OBJECTIVE: To determine whether racial and ethnic disparities in medication prescribed for pain in primary care settings have diminished over a 21-year period from 1999 to 2019. DESIGN: An annual, representative cross-sectional probability sample of visits to US primary care physicians, taken from the National Ambulatory Medical Care Survey. PATIENTS: Pain-related visits to primary care physicians. MAIN MEASURES: Prescriptions for opioid and non-opioid analgesics. KEY RESULTS: Of 599,293 (16%) sampled visits, 94,422 were pain-related, representing a population-weighted estimate of 143 million visits made annually to primary care physicians for pain. Relative risk analysis controlling for insurance, pain type, and other potential confounds showed no difference in pain medication prescribed between Black and White patients (p = .121). However, White patients were 1.61 (95% CI 1.32-1.97) and Black patients 1.57 (95% CI 1.26-1.95) times more likely to be prescribed opioids than a more underrepresented group consisting of Asian, Native-Hawaiian/Pacific-Islander, and American-Indian/Alaska-Natives (ps < .001). Non-Hispanic/Latino patients were 1.32 (95% CI 1.18-1.45) times more likely to receive opioids for pain than Hispanic/Latino patients (p < .001). Penalized cubic spline regression found no substantive narrowing of disparities over time. CONCLUSIONS: These findings suggest that additional intervention strategies, or better implementation of existing strategies, are needed to eliminate ethnic and racial disparities in pain treatment towards the goal of equitable healthcare.