Primary Care Program Research Articles

Implementation of an integrated primary care prevention and management program for chronic low back pain (LBP): patient-reported outcomes and predictors of pain interference after six months

BackgroundIntegrated primary care programs for patients living with chronic pain which are accessible, interdisciplinary, and patient-centered are needed for preventing chronicity and improving outcomes. Evaluation of the implementation and impact of such programs supports further development of primary care chronic pain management. This study examined patient-reported outcomes among individuals with low back pain (LBP) receiving care in a novel interdisciplinary primary care program.MethodsPatients were referred by primary care physicians in four regions of Quebec, Canada, and eligible patients received an evidence-based interdisciplinary pain management program over a six-month period. Patients were screened for risk of chronicity. Patient-reported outcome measures of pain interference and intensity, physical function, depression, and anxiety were evaluated at regular intervals over the six-month follow-up. A multilevel regression analysis was performed to evaluate the association between patient characteristics at baseline, including risk of chronicity, and change in pain outcomes.ResultsFour hundred and sixty-four individuals (mean age 55.4y, 63% female) completed the program. The majority (≥ 60%) experienced a clinically meaningful improvement in pain intensity and interference at six months. Patients with moderate (71%) or high risk (81%) of chronicity showed greater improvement in pain interference than those with low risk (51%). Significant predictors of improvement in pain interference included a higher risk of chronicity, younger age, female sex, and lower baseline disability.ConclusionThe outcomes of this novel LBP program will inform wider implementation considerations by identifying key components for further effectiveness, sustainability, and scale-up of the program.

Understanding caregiver burden and quality of life in Kerala’s primary palliative care program: a mixed methods study from caregivers and providers’ perspectives

BackgroundFamily caregivers are vital for long-term care for persons with serious health-related suffering in Kerala. Long-term caregiving and ageing may become burdensome and detrimental to patients and caregivers. We compared the caregiver burden and quality-of-life of ageing caregivers with younger caregivers. We also explored the palliative care nurses’ perceptions of the family caregivers’ issues.MethodsWe did a mixed method study focusing on two groups: (i) three in-depth interviews and a cross-sectional survey among 221 caregivers of palliative care patients in five randomly selected panchayats (most peripheral tier of three-tier local self-government system in India concerned with governance of a village or small town) of Kollam district, Kerala, as part of development and validation of the Achutha Menon Centre Caregiver Burden Inventory; (ii) five in-depth interviews with purposively selected primary palliative care nurses as part of a study on local governments and palliative care. We used a structured interview schedule to collect cross-sectional data on sociodemographic and caregiving-related characteristics, caregiver burden, and health-related quality of life using the EuroQol EQ5D5L and interview guidelines on caregiver issues tailored based on participant type for qualitative interviews.ResultsOlder caregivers comprised 28.1% of the sample and had significantly poorer health and quality-of-life attributes. More senior caregivers experiencing caregiver burden had the lowest mean scores of 0.877 (Standard deviation (SD 0.066, 95% confidence intervals (CI) 0.854–0.899) followed by younger caregivers with high burden (0.926, SD 0.090, 95% CI 0.907–0.945), older caregivers with low burden (0.935, SD 0.058, 95% CI 0.912–0.958) and younger caregivers with low burden (0.980, SD 0.041, 95% CI 0.970–0.990). Caregivers faced physical, psychological, social, and financial issues, leading to a caregiver burden. The relationships between the palliative care nurses and family caregivers were complex, and nurses perceived caregiver burden, but there were no specific interventions to address this.ConclusionIn our study from Kollam, Kerala, three out of ten caregivers of palliative care patients were 60 years of age or older. They had significantly lower health-related quality of life, particularly if they perceived caregiver burden. Despite being recognized by palliative care nurses, caregiver issues were not systematically addressed. Further research and suitable interventions must be developed to target such problems in the palliative care programme in Kerala.

Determinants of nutritional status of children aged 6–59 months in the case of Itang special woreda, Gambella, Ethiopia

Nutritional status is one of the most important causes of improper physical and mental development in children. The study attempts to assess the factors affecting the severity status of children aged 6–59 months’ malnutrition based on the weight-for-age anthropometric index (z-score) and examine between-kebeles-level differences in determinants of the nutritional status of children. A community-based, cross-sectional study design was conducted from October 12 to November 12, 2022. A sample of 397 children aged 6–59 months primary data by applying multi–stage clustered sampling technique was used by considering their heterogeneity. The data were entered by SPSS and analyzed by using R version 3.4.0 and STATA 14.2 statistical software package using a multilevel ordinal logistic regression model and inferences were conducted at a 5% significance level. The results show that birth interval ≥ 24 months (OR = 1.431253, 95% CI 1.221337 1.6763421, P-value = 0.008), economic status of households medium (OR = 16.21466, 95% CI 1.221403 1.423929, P-value = 0.000), economic status of households rich (OR = 223.2856, 95% CI 1.34295 2.582325, P-value = 0.000), employment status of the mother unemployed (OR = 0.2291348, 95% CI 0.0529511 0.9966281, P-value = 0.049), No toilet facility (bush field) (OR = 0.3163329, 95% CI 0.1825356 0.5481975, P-value = 0.000), number of household members (OR = 0.9100682, 95% CI 0.8313481 0.9967315, P-value = 0.042), breastfeeding < 12 months (OR = 0.53803, 95% CI 0.322315 0.898135, P-value = 0.018), educational level of father Primary (OR = 4.601687, 95% CI 1.758009 2.22053, P-value = 0.000), educational level of father Secondary above (OR = 99.65229, 95% CI 2.533502 4.788896, P-value = 0.000) and geographical area (kebeles) were found to be important factors that affect a child's nutritional status between 6 and 59 months. 15% of the overall variation is attributable to the Kebeles level, according to two-level multilevel ordinal logistic regressions with estimates of the variation attributable to the Kebeles level equal to 0.569 and an intraclass correlation coefficient of 0.15. Due to the nature of the response variable random intercept model with random coefficients fitted the data adequately in predicting the severity status of children aged 6–59 months’ malnutrition for the multilevel ordinal logistic regression model analysis. So, the researcher recommended that implementing primary health care and nutrition programs that would fit each kebeles’ features in Itang Special Woreda to safeguard children from nutritional deficiency.

Using spirometry for screening and diagnosis of chronic respiratory diseases in primary health care: findings from a community health project in rural India

Background Chronic respiratory diseases (CRDs) such as Chronic obstructive pulmonary disease (COPD), Asthma and post-tuberculosis lung disease (PTLD) are a growing public health concern in India. Early diagnosis and management of CRDs require a good quality spirometry test, a technician to conduct spirometry and a chest physician to interpret the results. In India, these are not available at the primary care level. This study reports the feasibility of a large-scale CRD diagnosis and management program in primary care using a unique point-of-care spirometry solution, Briota PFT in a Box™. # Methods A community-based cross-sectional study was conducted among 15,602 adults in Dindori Taluka (subdivision), Nashik, Maharashtra state. This study was part of a holistic CRD diagnosis and management program SAVE™ (Spirometry Assisted Virtually Early). Make In India point of care solution Briota PFT in a Box™ was used. A House‐to‐house community-based assessment checklist (CBAC) survey, 4-parameter spirometry test, 15-parameter pre and post-bronchodilator spirometry test and a software-assisted medical examination by the medical officer at primary care were conducted. Software was used to generate CRD diagnosis and lung health score (LHS™). The diagnosis was verified by the chest physician. Confirmed diagnosed patients were provided treatment and offered a patient support program. Interviews were conducted with the patients, nurses, doctors and public health officials for understanding feasibility and documenting learning from program SAVE™. # Results Out of 15,602 adults surveyed, total 4,937 (31.6%) were identified as “CRD high risk”. 1231 participants based on medical examination, spirometry tests and software analysis were identified as CRD candidates by medical officers at primary care. 1154 participants out of 15,602 (7.4%) were confirmed diagnosed as CRD patients post independent evaluation by chest physicians. At the time of follow-up, 537 patients (75% of 712 patients enrolled in patient support program) reported improvement in symptoms and high satisfaction with the program. District health officer, Medical officers, nurses, Accredited Social Health Activist (ASHA) from the primary health care centers confirmed ease of use and feasibility of using Briota PFT in a Box™ in program SAVE™. Outcome and learning from program SAVE™ was documented and submitted to Ministry of Health and Family Welfare Government of India. # Conclusions CRD diagnosis and management in large scale settings in primary healthcare level using a point of care spirometry solution Briota PFT in a Box™ is highly feasible.

Abstract PO1-11-10: Use of a standardized tool for the evaluation and treatment of cancer related cognitive impairment (chemo-brain) among breast cancer patients

Abstract There is a steep linear increase in patients surviving a cancer diagnosis. Clinical solutions that address the high prevalence of cancer-related treatment effects (CRTE) are urgently needed. A stark example of this need is the dearth of screening and treatment programs for cancer related cognitive impairment (CRCI) (colloquially called “chemo-brain”). Up to 75% of cancer patients report neurocognitive changes that leave patients unable to cope with the expectations of employers, colleagues, families, and friends. The prevalence of neurological disorders is 275% higher among adult cancer patients, when compared to an adult cancer-free population. For many adolescent and young adult cancer patients, the onset of CRCI occurs during "cognitive prime time"; a time when individuals are pursuing education, careers, and raising families. To address a gap in CRTE we have implemented a virtual multi-disciplinary intervention to measure and treat CRCI. Our CRCI intervention follows National Comprehensive Cancer Network and American Society of Clinical Oncology (ASCO) guidelines for CRCI. These guidelines indicate a multi-disciplinary approach with emphasis on increasing physical activity levels, cognitive-behavioral therapy, memory adaptive training, mood management, and sleep optimization. Our approach also follows recent ASCO guidelines for nutrition counseling. Our CRCI program utilizes medical oncologists, physician assistants, mental health therapists, registered dietitians, and occupational therapists. A nationally validated patient reported outcome (PRO) measurement, analysis, and reporting platform informs clinical treatment pathways, monitors patient progress, guides clinical decision making, and improves patient/provider communication. Using health status measures for CRCI, and following American Cancer Society and ASCO guidelines, patients are risk-stratified into three personalized cancer survivor care pathways: 1) low-complexity patients; 2) medium-complexity patients; and 3) high-complexity patients. Low-complexity patients baseline PROs score in the normal range, medium-complexity patients are those who score below the norm (moderate to large effect size difference from normal), and high-complexity patients are those who score well below the norm (greater than larger effect size difference from normal). Low-complexity patients are enrolled into a self-management and continuation of care program. Medium-complexity patients are enrolled into a shared care program. High-complexity patients are enrolled into an acute care program. All three clinical pathways include continued risk-factor vital-sign surveillance. Nearly 100% (99%) of patients who enroll in our primary cancer survivor care program complete our PRO baseline (N=80). From a convenient sample of breast cancer patients (N=42), provisional results of patient-specific segmentation analyses reveal a nearly perfect bell-shaped curve, with 51% of the population classified within the definition of medium-complexity and even split of outliers (high-complexity 24% and low-complexity 24%). Additionally, of all patients in our primary cancer survivor care program who completed at least three measurement time points for health status measures of cognitive impartment (N=38), 92% had a positive experience, 71% had a clinically significant improvement in cognitive health, 21% had a no change in cognitive status, and only 8% had a decline in cognitive health. If these data, and PRO implementation approach hold true, this program could be scaled to national and international cancer survivor population suffering from CRCI. Citation Format: John Librett, Mark Kosinski, Gregory Litton. Use of a standardized tool for the evaluation and treatment of cancer related cognitive impairment (chemo-brain) among breast cancer patients [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-11-10.

Evaluating Cognitive Impairment in a Large Health Care System: The Cognition in Primary Care Program

Background: The prevalence of Alzheimer’s disease and related disorders (ADRD) is rising. Primary care providers (PCPs) will increasingly be required to play a role in its detection but lack the training to do so. Objective: To develop a model for cognitive evaluation which is feasible in primary care and evaluate its implementation in a large health system. Methods: The Cognition in Primary Care Program consists of web-based training together with integrated tools built into the electronic record. We implemented the program among PCPs at 14 clinics in a large health system. We (1) surveyed PCPs to assess the impact of training on their confidence to evaluate cognition, (2) measured the number of cognitive assessments they performed, and (3) tracked the number of patients diagnosed with mild cognitive impairment (MCI). Results: Thirty-nine PCPs completed the training which covered how to evaluate cognition. Survey response rate from those PCPs was 74%. Six months after the end of the training, they reported confidence in assessing cognition (mean 4.6 on 5-point scale). Cognitive assessments documented in the health record increased from 0.8 per month before the training to 2.5 in the six months after the training. Patients who were newly diagnosed with MCI increased from 4.2 per month before the training to 6.0 per month in the six months after the training. Conclusions: This model for cognitive evaluation in a large health system was shown to increase cognitive testing and increase diagnoses of MCI. Such improvements are essential for the timely detection of ADRD.

Challenges and Facilitators in Implementing Remote Patient Monitoring Programs in Primary Care.

The COVID-19 pandemic resulted in greater use of remote patient monitoring (RPM). However, the use of RPM has been modest compared to other forms of telehealth. To identify and describe barriers to the implementation of RPM among primary care physicians (PCPs) that may be constraining its growth. We conducted 20 semi-structured interviews with PCPs across the USA who adopted RPM. Interview questions focused on implementation facilitators and barriers and RPM's impact on quality. We conducted thematic analysis of semi-structured interviews using both inductive and deductive approaches. The analysis was informed by the NASSS (non-adoption and abandonment and challenges to scale-up, spread, and sustainability) framework. PCPs who practiced at least 10 h per week in an outpatient setting, served adults, and monitored blood pressure and/or blood glucose levels with automatic transmission of data with at least 3 patients. While PCPs generally agreed that RPM improved quality of care for their patients, many identified barriers to adoption and maintenance of RPM programs. Challenges included difficulties handling the influx of data and establishing a manageable workflow, along with digital and health literacy barriers. In addition to these barriers, many PCPs did not believe RPM was profitable. To encourage ongoing growth of RPM, it will be necessary to address implementation barriers through changes in payment policy, training and education in digital and health literacy, improvements in staff roles and workflows, and new strategies to ensure equitable access.

Current and Projected Mortality and Hospitalization Rates Associated With Conditional Cash Transfer, Social Pension, and Primary Health Care Programs in Brazil, 2000-2030

The health outcomes of increased poverty and inequalities in low- and middle-income countries (LMICs) have been substantially amplified as a consequence of converging multiple crises. Brazil has some of the world's largest conditional cash transfer (Programa Bolsa Família [PBF]), social pension (Beneficio de Prestacão Continuada [BPC]), and primary health care (Estratégia de Saúde da Família [ESF]) programs that could act as mitigating interventions during the current polycrisis era of increasing poverty, slow or contracting economic growth, and conflicts. To evaluate the combined association of the Brazilian conditional cash transfer, social pension, and primary health care programs with the reduction of morbidity and mortality over the last 2 decades and forecast their potential mitigation of the current global polycrisis and beyond. This cohort study used a longitudinal ecological design with multivariable negative binomial regression models (adjusted for relevant socioeconomic, demographic, and health care variables) integrating the retrospective analysis from 2000 to 2019, with dynamic microsimulation models to forecast potential child mortality scenarios up to 2030. Participants included a cohort of 2548 Brazilian municipalities from 2004 to 2019, projected from 2020 to 2030. Data analysis was performed from September 2022 to February 2023. PBF coverage of the target population (those who were poorest) was categorized into 4 levels: low (0%-29.9%), intermediate (30.0%-69.9%), high (70.0%-99.9%), and consolidated (≥100%). ESF coverage was categorized as null (0), low (0.1%-29.9%), intermediate (30.0%-69.9%), and consolidated (70.0%-100%). BPC coverage was categorized by terciles. Age-standardized, all-cause mortality and hospitalization rates calculated for the entire population and by age group (<5 years, 5-29 years, 30-69 years, and ≥70 years). Among the 2548 Brazilian municipalities studied from 2004 to 2019, the mean (SD) age-standardized mortality rate decreased by 16.64% (from 6.73 [1.14] to 5.61 [0.94] deaths per 1000 population). Consolidated coverages of social welfare programs studied were all associated with reductions in overall mortality rates (PBF: rate ratio [RR], 0.95 [95% CI, 0.94-0.96]; ESF: RR, 0.93 [95% CI, 0.93-0.94]; BPC: RR, 0.91 [95% CI, 0.91-0.92]), having all together prevented an estimated 1 462 626 (95% CI, 1 332 128-1 596 924) deaths over the period 2004 to 2019. The results were higher on mortality for the group younger than age 5 years (PBF: RR, 0.87 [95% CI, 0.85-0.90]; ESF: RR, 0.89 [95% CI, 0.87-0.93]; BPC: RR, 0.84 [95% CI, 0.82-0.86]), on mortality for the group aged 70 years and older, and on hospitalizations. Considering a shorter scenario of economic crisis, a mitigation strategy that will increase the coverage of PBF, BPC, and ESF to proportionally cover the newly poor and at-risk individuals was projected to avert 1 305 359 (95% CI, 1 163 659-1 449 256) deaths and 6 593 224 (95% CI, 5 534 591-7 651 327) hospitalizations up to 2030, compared with fiscal austerity scenarios that would reduce the coverage of these interventions. This cohort study's results suggest that combined expansion of conditional cash transfers, social pensions, and primary health care should be considered a viable strategy to mitigate the adverse health outcomes of the current global polycrisis in LMICs, whereas the implementation of fiscal austerity measures could result in large numbers of preventable deaths.

Primary Health Care Interventions for Potentially Preventable Ear, Nose, and Throat Conditions in Rural and Remote Areas: A Systematic Review.

Background:Primary and secondary level preventive primary health care programs providing early detection and timely management of ear, nose, and throat (ENT) conditions in rural and remote regions are fundamental to preventing downstream impacts on health, social, and educational outcomes. However, the range and quality of evidence is yet to be reviewed. Objectives: The study objectives were to identify and synthesize the evidence of primary health care interventions for detection and management of ENT conditions in rural and remote areas, and evaluate the quality of the research and effectiveness of interventions. Methods: A systematic literature search of 6 databases (February 2023). The review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement, and the quality appraisal of studies was evaluated using the Mixed Methods Appraisal Tool (initial screening questions: Are there clear research questions? Do the collected data allow to address the research questions?). Results: Ten studies met the inclusion criteria. The results describe interventions for detection and management of respiratory tract infections, otitis media, and ear disease in primary health care settings. No studies met the inclusion criteria for tonsillitis. The role of community-based programs and allied health workers in the detection and management of ENT conditions was found to be effective in rural and remote regions. Only 2 of the studies met the screening criteria for quality appraisal. Conclusions: The study findings may inform future programs and policy development to address detection and management of ENT conditions in rural and remote primary care settings, and supports the need for further research on innovative models of care targeting potentially preventable hospitalizations through primary and secondary level prevention.

0423 Insomnia Management Program in Primary Care Can Improve Subjective Sleep Quality and Insomnia Severity Index (ISI)

0423 Insomnia Management Program in Primary Care Can Improve Subjective Sleep Quality and Insomnia Severity Index (ISI)

Understanding social needs screening and demographic data collection in primary care practices serving Maryland Medicare patients

BackgroundHealth outcomes are strongly impacted by social determinants of health, including social risk factors and patient demographics, due to structural inequities and discrimination. Primary care is viewed as a potential medical setting to assess and address individual health-related social needs and to collect detailed patient demographics to assess and advance health equity, but limited literature evaluates such processes.MethodsWe conducted an analysis of cross-sectional survey data collected from n = 507 Maryland Primary Care Program (MDPCP) practices through Care Transformation Requirements (CTR) reporting in 2022. Descriptive statistics were used to summarize practice responses on social needs screening and demographic data collection. A stepwise regression analysis was conducted to determine factors predicting screening of all vs. a targeted subset of beneficiaries for unmet social needs.ResultsAlmost all practices (99%) reported conducting some form of social needs screening and demographic data collection. Practices reported variation in what screening tools or demographic questions were employed, frequency of screening, and how information was used. More than 75% of practices reported prioritizing transportation, food insecurity, housing instability, financial resource strain, and social isolation.ConclusionsWithin the MDPCP program there was widespread implementation of social needs screenings and demographic data collection. However, there was room for additional supports in addressing some challenging social needs and increasing detailed demographics. Further research is needed to understand any adjustments to clinical care in response to identified social needs or application of data for uses such as assessing progress towards health equity and the subsequent impact on clinical care and health outcomes.

The American Headache Society First Contact—Headache in Primary Care Program: Current Website Metrics and Direction for Future Initiatives (P11-12.003)

The American Headache Society First Contact—Headache in Primary Care Program: Current Website Metrics and Direction for Future Initiatives (P11-12.003)

"It's Like A Partnership": Exploring the Primary Care Experiences and Patient-Defined Goals of People Who Use Drugs.

Primary care is an important yet underutilized resource in addressing the overdose crisis. Previous studies have identified important aspects of primary care for people who use drugs (PWUD) and have found patient involvement in healthcare decisions and goal-setting to be especially critical. However, there has been limited research describing the primary care goals of PWUD. In harm reduction settings, where it is imperative that PWUD set their own goals, this research gap becomes especially relevant. To explore how PWUD navigate primary care with a focus on understanding their primary care goals. A qualitative study using semi-structured interviews. PWUD currently engaged in primary care at the Respectful and Equitable Access to Comprehensive Healthcare (REACH) Program, a harm reduction-based primary care program in New York City. Between June 2022 and August 2022, we conducted 17 semi-structured interviews. Informed by phenomenology, transcripts were coded using both inductive and deductive codes and themes were developed using thematic analysis approaches. Phenomenological analysis identified four core components that, together, created an experience that participants described as "a partnership" between patient and provider: (1) patient-provider collaboration around patient-defined healthcare goals; (2) support provided by harm reduction-based approaches to primary care anchored in incrementalism and flexibility; (3) care teams' ability to address healthcare system fragmentation; and (4) the creation of social connections through primary care. This holistic partnership fostered positive primary care experiences and supported participants' self-defined care goals, thereby facilitating meaningful care outcomes. To best meet the primary care goals of PWUD, these findings underscore the importance of primary care providers and programs facilitating such partnerships through organizational-level support anchored in harm reduction. Future research should explore how these experiences in primary care affect patient health outcomes, ultimately shaping best practices in the provision of high-quality primary care for PWUD.

Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec.

Suicide is a complex, multidimensional event, and a significant challenge for prevention globally. Artificial intelligence (AI) and machine learning (ML) have emerged to harness large-scale datasets to enhance risk detection. In order to trust and act upon the predictions made with ML, more intuitive user interfaces must be validated. Thus, Interpretable AI is one of the crucial directions which could allow policy and decision makers to make reasonable and data-driven decisions that can ultimately lead to better mental health services planning and suicide prevention. This research aimed to develop sex-specific ML models for predicting the population risk of suicide and to interpret the models. Data were from the Quebec Integrated Chronic Disease Surveillance System (QICDSS), covering up to 98% of the population in the province of Quebec and containing data for over 20,000 suicides between 2002 and 2019. We employed a case-control study design. Individuals were considered cases if they were aged 15+ and had died from suicide between January 1st, 2002, and December 31st, 2019 (n = 18339). Controls were a random sample of 1% of the Quebec population aged 15+ of each year, who were alive on December 31st of each year, from 2002 to 2019 (n = 1,307,370). We included 103 features, including individual, programmatic, systemic, and community factors, measured up to five years prior to the suicide events. We trained and then validated the sex-specific predictive risk model using supervised ML algorithms, including Logistic Regression (LR), Random Forest (RF), Extreme Gradient Boosting (XGBoost) and Multilayer perceptron (MLP). We computed operating characteristics, including sensitivity, specificity, and Positive Predictive Value (PPV). We then generated receiver operating characteristic (ROC) curves to predict suicides and calibration measures. For interpretability, Shapley Additive Explanations (SHAP) was used with the global explanation to determine how much the input features contribute to the models' output and the largest absolute coefficients. The best sensitivity was 0.38 with logistic regression for males and 0.47 with MLP for females; the XGBoost Classifier with 0.25 for males and 0.19 for females had the best precision (PPV). This study demonstrated the useful potential of explainable AI models as tools for decision-making and population-level suicide prevention actions. The ML models included individual, programmatic, systemic, and community levels variables available routinely to decision makers and planners in a public managed care system. Caution shall be exercised in the interpretation of variables associated in a predictive model since they are not causal, and other designs are required to establish the value of individual treatments. The next steps are to produce an intuitive user interface for decision makers, planners and other stakeholders like clinicians or representatives of families and people with live experience of suicidal behaviors or death by suicide. For example, how variations in the quality of local area primary care programs for depression or substance use disorders or increased in regional mental health and addiction budgets would lower suicide rates.

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.

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. 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. 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). 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. ClinicalTrials.gov NCT03811587 FUNDING: The project was co-funded by Health~Holland, Top Sector Life Sciences & Health, the Dutch Diabetes Foundation and L-Nutra.

Evaluation of the First Approach Skills Training (FAST) Integrated Pediatric Primary Care Program: Implementation and Clinical Effectiveness

ABSTRACT The current study evaluated the clinical effectiveness and implementation of a brief integrated pediatric primary care program, First Approach Skills Training (FAST). We analyzed clinical retrospective data during the first year of implementation of FAST. Patients and parents completed symptom measures as part of standard clinical care. Integrated behavioral health providers completed measures regarding the FAST program's usability, feasibility, effectiveness, and cultural responsiveness. Patients and parents reported significant improvement in anxiety symptoms, depression symptoms, and disruptive behaviors. Clinicians rated FAST as highly usable, feasible, effective, and culturally responsive. The FAST program demonstrates preliminary clinical effectiveness for common youth mental health problems in pediatric primary care.

Cancer survivors' experiences of a physical activity program in primary care: a qualitative study.

This study aimed to gain insight into the experiences of, and reasons for, cancer survivors participating in a primary care PA program. We interviewed 17 patients from 11 Dutch GP practices. Patients were selected by purposive sampling based on their general practice, gender, educational level, motivation for PA, and change in PA. Interviews were audio recorded, transcribed verbatim, and pseudonymized for inductive thematic analysis. Three domains were identified with five themes: institutional domain: GP practice; program-specific domain: content sessions and PA, and activity tracker and goal setting; individual domain: experienced benefits, and personalized care needs. Participants valued the PA program because it was offered close to home, without additional costs, and by a trusted practice nurse familiar with the patients' medical background. Activity tracker use and goal setting motivated many participants but also led to demotivation and feelings of failure in others. Reported benefits included behavior change and favorable health outcomes. Many patients expressed the need to personalize psychological support and the program's timing. Access to a PA program in a primary care setting is valued for its accessibility and experienced health benefits, but also seems to meet an unmet need for support in picking up life during cancer recovery. Primary care is important for continued care of cancer survivors. An accessible PA program in this setting may fulfil a need for not only lifestyle support but also continuing life after cancer treatment.

Novel Technologies in Artificial Intelligence and Telemedicine for Glaucoma Screening.

To provide an overview of novel technologies in telemedicine and artificial intelligence (AI) approaches for cost-effective glaucoma screening. A narrative review was performed by summarizing research results, recent developments in glaucoma detection and care, and considerations related to telemedicine and AI in glaucoma screening. Telemedicine and AI approaches provide the opportunity for novel glaucoma screening programs in primary care, optometry, portable, and home-based settings. These approaches offer several advantages for glaucoma screening, including increasing access to care, lowering costs, identifying patients in need of urgent treatment, and enabling timely diagnosis and early intervention. However, challenges remain in implementing these systems, including integration into existing clinical workflows, ensuring equity for patients, and meeting ethical and regulatory requirements. Leveraging recent work towards standardized data acquisition as well as tools and techniques developed for automated diabetic retinopathy screening programs may provide a model for a cost-effective approach to glaucoma screening. Leveraging novel technologies and advances in telemedicine and AI-based approaches to glaucoma detection show promise for improving our ability to detect moderate and advanced glaucoma in primary care settings and target higher individuals at high risk for having the disease.

Self-help mobile messaging intervention for depression among older adults in resource-limited settings: a randomized controlled trial

Scalable solutions to treat depression in older adults in low-resourced settings are urgently needed. The PRODIGITAL-D pragmatic, single-blind, two-arm, individually randomized controlled trial assessed the effectiveness of a mobile messaging psychosocial intervention in improving depressive symptomatology among older adults in socioeconomically deprived areas of Guarulhos, Brazil. Older adults (aged 60+ years) registered with 24 primary care clinics and identified with depressive symptomatology (9-item Patient Health Questionnaire (PHQ-9) scores ≥ 10) received the 6-week Viva Vida intervention based on psychoeducation and behavioral activation (n = 298) or a single message (n = 305). No health professional support was offered. The primary outcome was improvement from depressive symptomatology (PHQ-9 < 10) at 3 months. Of the 603 participants enrolled (mean age = 65.1 years; 451 (74.8%) women), 527 (87.4%) completed the follow-up assessment. In the intervention arm, 109 of 257 (42.4%) participants had an improved depressive symptomatology, compared with 87 of 270 (32.2%) participants in the control arm (adjusted odds ratio = 1.57; 95% confidence interval = 1.07–2.29; P = 0.019). No severe adverse events related to trial participation were observed. These results demonstrate the usefulness of a digital messaging psychosocial intervention in the short-term improvement from depressive symptomatology that can potentially be integrated into primary care programs for treating older adults with depression. Brazilian Registry of Clinical Trials registration: ReBEC (RBR-4c94dtn).

Service-Learning Through Community-Based Exercise Teaching Enhances Medical Students’ Exercise Knowledge, Counseling Confidence, and Habits

Exercise is a pivotal tool in the prevention and management of chronic disease, a cornerstone of primary care. Yet, there is little formal exercise education in medical school and many medical students feel unprepared to effectively counsel patients about exercise. Since 2019, medical students in the Primary Care Program (PCP), a primary care-focused educational track, at the Keck School of Medicine (KSOM) of the University of Southern California (USC) have taught exercise classes to the local community as part of a service-learning experience. Students receive lectures on exercise from faculty and then deliver curated bilingual English/Spanish presentations and lead exercise classes for the community. Post participation in this program, students reported (1) increased knowledge of exercise principles, (2) increased predicted likelihood of counseling patients about exercise, (3) increased confidence in providing exercise counseling, and (4) intent to make positive changes in their own exercise habits. This curriculum provides a replicable lifestyle medicine model for other medical schools seeking to enhance exercise education and train the next generation of primary care physicians.