Journal of Primary Care and Community Health最新文献

Sociodemographic factors are critical determinants of health outcomes and disparities, yet their documentation in electronic medical records is often sparse and confined to unstructured clinical text. This poses substantial challenges for automated extraction and integration into clinical decision-making. In this study, we systematically evaluate and compare 6 convolutional neural network architectures, including hybrid models that integrate traditional classifiers, for binary classification of multiple sociodemographic characteristics from EMR text using data from 4375 patients across 96 primary care clinics. The goal was to assess how model complexity and lexical diversity influence classification performance. Manual annotation achieved high inter-rater reliability (kappa: 0.98 for documentation status, 0.96 for documented information). We report performance using F1 score, precision, recall, area under the precision-recall curve, and Matthews correlation coefficient. Results showed that simpler architectures, particularly a single-layer CNN, consistently outperform deeper or hybrid models across most characteristics (F1 score: 90.99%), especially under conditions of data imbalance and varied documentation patterns. While hybrid models offered gains for well-documented factors like marital status, they were less effective for sparse or diverse characteristics. These findings provide a practical framework for developing efficient, interpretable clinical NLP pipelines and inform model selection strategies for real-world health equity and EMR research applications.

Purpose: This pilot study tested the feasibility and acceptability of a pragmatic randomized trial evaluating group-based non-pharmacologic approaches to increase access in primary care and improve pain-related outcomes.

Methods: This 2 × 2 factorial trial assessed two 12-week interventions: group acupuncture and integrative group medical visits (IGMVs). Adults with chronic pain lasting ≥3 months were enrolled from safety-net primary care clinics. Participants were randomized to group acupuncture, IGMVs, both, or neither (usual care). We analyzed data using linear mixed models, ANCOVA, and abductive qualitative analysis.

Results: Overall, 44 participants were randomized (25 English-speaking and 19 Spanish-speaking); 59% were female (mean age = 55 years), 21% African American or Black, 52% Latine, 21% non-Latine White, and 5% more than 1 race; and 78% had annual income <$25 000. At baseline, the average duration of chronic pain was 13.0 years, and the mean pain impact score was 36.0 (SD = 6.4). Participants randomized to interventions attended 6 of 12 sessions on average; 89% would participate again; and 86% reported clinically relevant pain improvements versus 20% in usual care (P < .001). Qualitative data revealed substantial barriers to accessing multimodal care and social benefits of group-based models.

Conclusion: Group-based integrative pain management is feasible and acceptable when co-located within safety-net primary care.Clinicaltrials.gov Registration Number: NCT05906784 (http://clinicaltrials.gov/study/NCT05906784).

Background: While biopsychosocial interventions are recommended for treatment of patients with chronic pain, outcome measurement frequently does not take a multifaceted approach to assessing patient outcomes. As primary care settings increasingly implement chronic pain approaches such as Integrative Group Medical Visits (IGMV), a comprehensive yet pragmatic measurement approach is needed to capture biopsychosocial outcomes.

Methods: We recruited 21 clinicians, administrators, and staff with direct experience implementing IGMV in safety-net settings to participate in semi-structured qualitative interviews. Participants were recruited from 6 Federally-Qualified Health Centers and 4 Safety-Net Hospital outpatient clinics representing 6 states across the U.S. We first analyzed interview transcripts using the Consolidated Framework of Implementation Research, then used inductive thematic content analysis to identify themes related to what participants currently measure and the outcomes they view as important to be measuring.

Results: Thematic content analysis revealed 3 themes: variability of measures chosen, rationale for measures chosen, and desire for biopsychosocial outcome measurement tailored to IGMV for chronic pain. Thirteen different measures were used across 9 sites. The choice of measures was driven by clinical utility and/or administrative incentives. Interviewees described that as patients progressed through IGMV they demonstrated improved health through improvements in social support, self-efficacy in pain management, self-management behaviors, and improved physical function. The measures currently used address most but not all these outcomes.

Conclusion: We recommend developing and refining a biopsychosocial outcome measurement tool that addresses unique aspects of IGMV. These findings contribute to a growing consensus on how to measure actionable, patient-centered data on biopsychosocial interventions for chronic pain.

Objectives: This qualitative study explored the beliefs and values influencing healthcare providers' delivery of gender-affirming care (GAC) to transgender and gender-diverse (TGD) youth amidst current social and political dynamics.

Methods: The study PI conducted 43 semi-structured interviews with providers across states with varying GAC legislation. Responses from 41 providers were analyzed in this paper. A thematic approach to data analysis was employed using qualitative coding.

Results: Key themes emerged: criteria for treatment, ethical and moral considerations, and professional and personal responsibility. Providers widely endorsed GAC as evidence-based and essential for alleviating distress and promoting autonomy. They emphasized the importance of respecting patients' gender identities and viewing GAC as life-saving.

Conclusion: Despite legislative challenges, the study highlights a strong consensus among providers on the medical necessity of GAC for TGD youth.

Introduction/objectives: Since the COVID-19 pandemic, few studies have examined how participation in Supplemental Nutrition Assistance Program (SNAP) and/or Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) impacts diet quality in families with young children. This study aims to explore the association between SNAP and/or WIC participation and diet quality in mother-child dyads in Greater Boston, MA.

Methods: A mixed-method approach involving cross-sectional surveys and in-depth interviews were utilized. Participants included 69 mother-child dyads for quantitative and 18 mothers for qualitative data collection. Analysis of covariance using generalized linear models was employed to compare differences in Healthy Eating Index-2015 (HEI-2015) scores based on SNAP and/or WIC participation, and thematic analysis was used for coding themes.

Results: Mothers who participated in SNAP and/or WIC were more from lower socioeconomic backgrounds. After adjusting for age, race/ethnicity, and education, no significant differences in diet quality were found for both mothers and their children. However, qualitative results showed that mothers prioritized their children's nutrition, used benefits to buy fruits and vegetables, and experienced stress that impacted their own diet quality.

Conclusions: Since the pandemic, SNAP and WIC appeared to support families experiencing socioeconomic disadvantage (e.g., lower income and educational attainment) to improve diet quality, particularly through increased access to fruits and vegetables. However, these programs have not fully eliminated persistent disparities in diet quality, which seems to continue even the pandemic's immediate effects have subsided.

Introduction/objectives: Patients living with chronic diseases require more medical attention, including more visits to primary care. However, primary care providers are overburdened, and this specialty is attracting fewer new providers than before. Clinical pharmacists can augment these efforts by improving disease state control. In this cohort study, we aimed to demonstrate a retail pharmacy hired and trained clinical pharmacist within a value-based primary care clinic network can improve hypertension (HTN) and type 2 diabetes mellitus (T2DM) control.

Methods: In this cohort study, a pharmacist, enabled by a collaborative drug therapy management agreement, prescribed and titrated therapies for HTN and T2DM. Primary outcomes were pre- to post-index changes in hemoglobinA1c, systolic, and diastolic blood pressure (BP) measures.

Results: The HTN cohort consisted of 43 patients and the T2DM cohort consisted of 125 patients. The difference-in-differences (β) in the HTN group was -10.2 mmHg (P < .01) for systolic BP and -2.0 mmHg (P = .42) for diastolic BP. The β in the T2DM group was -1.16% (P < .001).

Conclusions: Statistically significant reductions in systolic BP and hemoglobinA1c were observed in the pharmacist-managed group compared with matched controls. These results demonstrate that pharmacist integration into a value based primary care clinic may improve measures of chronic disease associated with morbidity and mortality.

Objective: Adolescents encounter numerous healthcare access barriers, leading to poor health outcomes. Researchers developed the Total Teen (TT) program to improve access to sexual and reproductive health (SRH) and mental health (MH) services in settings providing adolescents and young adults (12-25) health services. This pilot study assessed the TT's impact on care across three settings: school-based health clinics, a federally qualified health center, and an adolescent health clinic for 12 weeks.

Methods: Sociodemographic data, including age, race/ethnicity, gender, and insurance status, were collected. MH was assessed using patient health questionnaire (PHQ)-9 and generalized anxiety disorder (GAD)-2 scales, and sexual health was evaluated based on CDC guidelines and additional evidence-based questions. One-on-one time, confidential consultations, SRH and MH micro visits, and referrals measured access. Descriptive statistics, Pearson Chi-square tests, and Kruskal-Wallis tests compared site outcomes, while logistic regression models adjusted for age, gender, race, and site.

Results: Four hundred and fifty-one participated in the TT program across the three sites. Concerning micro visits and referrals, being male was associated with lower depression rates (P = .0003) and generalized anxiety disorder (P = .0099). Being males also predicted micro visit receipt (P = .0199). Concerning SRH micro visits, higher sexual behavior scores (P < .0001) were significantly associated with a greater likelihood of utilizing SRH micro visits.

Conclusions: Results indicate that TT improves access to SRH and MH services and referrals for at-risk adolescents. Findings underscore the importance of integrating SRH and MH services into routine adolescent care and involving health organizations and providers as key stakeholders in enhancing preventive healthcare access.

Objectives: The COVID-19 pandemic presented significant challenges, particularly the psychological impact of prolonged preventive measures. This study aimed to explore the longitudinal relationships among adherence, anti-pandemic fatigue, and depression, focusing on how these dynamics evolved.

Methods: A prospective longitudinal survey was conducted among 627 adults in Hong Kong during the pandemic across 3 waves. Repeated measures ANOVA, cross-lagged path modeling, and mediation model were employed to assess temporal relationships among adherence, anti-pandemic fatigue, and depression.

Results: Adherence at T3 significantly predicted T4's anti-pandemic fatigue (B = 0.196, SE = 0.055) and depression (B = 1.690, SE = 0.247), and anti-pandemic fatigue significantly predicted T4's depression (B = 0.684, SE = 0.260). These effects diminished at later waves, reflecting psychological relief as restrictions eased. Notably, adherence was found to increase anti-pandemic fatigue, which in turn exacerbated depressive symptoms.

Conclusion: While relationships varied over the 3 time points, the longitudinal design has clarified the causal inference. The study highlights the mental toll of prolonged restrictions and emphasizes the importance of designing integrative strategies that support adherence while addressing fatigue and depression. These findings offer actionable insights for primary care and community health programs in managing future public health emergencies.