[Summary Community Health Centers in Belgium: thinking health out of the box]. / Les maisons médicales en Belgique : la santé dans tous ses états.

The federation of community health centersa includes 130 practices in French-speaking Belgium. They are organized as self-managed practices, which enables a certain equality between the workers in the team in terms of shared decision. Moreover, these care structures are organized as multidisciplinary teams and most of the time choose a capitation-fee payment for their services. This method of remuneration makes it possible to increase proactivity and improve prevention and health promotion, which are at the heart of the challenges for primary care. The center in Trooz illustrates this organization around the concept of community health. The active participation of patients in the project is at the center of the concerns to achieve patient-centered care.

La Fédération des maisons médicales (FMM) regroupe 130 pratiques en Belgique francophone. Elles sont organisées en autogestion, ce qui confère une certaine égalité entre les travailleurs de l'équipe quant aux décisions prises. Par ailleurs, ces structures de soins sont organisées en pratique multidisciplinaire et optent, la plupart du temps, pour un paiement forfaitaire de leurs prestations. Ce mode de rémunération permet d'augmenter la proactivité et d'améliorer la prévention et la promotion à la santé qui sont au cœur des défis de la première ligne. La maison médicale de Trooz illustre cette organisation autour du concept central de la santé communautaire. La participation active des patients dans le projet est au cœur des préoccupations pour réaliser une réelle approche centrée sur leurs besoins.

Examining the Implementation of Health-Related Social Need (HRSN) Screenings at a Pediatric Community Health Center.

INTRODUCTION: Social determinants of health (SDoH) influence health outcomes and screening for health-related social needs (HRSN) is a recommended pediatric practice. In 2018, Denver Health and Hospitals (DH) implemented the Accountable Health Communities (AHC) model under the Centers for Medicare and Medicaid Services (CMS) and began using the AHC HRSN screening tool during selected well child visits (WCVs) at a DH Federally Qualified Health Center (FQHC). The current evaluation aimed to examine the program implementation and identify key lessons learned to inform the expansion of HRSN screening and referral to other populations and health systems. METHODS: Patients who completed a WCV between June 1, 2020 and December 31, 2021 (N = 13 750) were evaluated. Frequencies and proportions were used to describe patient characteristics of those that had a WCV, were screened, and received resource information. Multivariable logistic regression models with odds ratios (OR) and 95% confidence intervals (CI) were used to determine the association between patient characteristics and completing HRSN screening and provision of resource information. RESULTS: The screening tool was completed by 80% (n = 11 004) of caregivers bringing children to a WCV at the DH Westside Clinic, with over one-third (34.8%; n = 3830) reporting >1 social need. Food insecurity was the most common concern (22.3%; n = 2458). Non-English, non-Spanish (NENS) speakers were less likely to be screened (OR 0.43, 95% CI 0.33, 0.57) and less likely to report a social need (OR 0.59, 95% CI 0.42, 0.82) than speakers of English, after adjusting for age, race/ethnicity, and health insurance. CONCLUSIONS: A high rate of screening indicates feasibility of administering HRSN screenings for pediatric patients in a busy FQHC. More than a third of patients reported one or more social needs, underscoring the importance to identity these needs and the opportunity to offer personalized resources. Comparatively lower rates of screening and potential underreporting among NENS may be indicative of the availability and acceptability of current translation procedures as well as how the tool translates linguistically and culturally. Our experience highlights the need to partner with community organizations and involve patients and families to ensure SDoH screening and care navigation is part of culturally-appropriate patient-centered care.

The Impact of the Affordable Care Act Medicaid Expansion on Acute Diabetes Complications Among Community Health Center Patients.

OBJECTIVE: This study evaluates whether patients residing in expansion states have a greater increase in outpatient diagnoses of acute diabetes complications than those living in non-expansion states following the implementation of the Affordable Care Act (ACA). METHODS: This retrospective cohort study uses electronic health records (EHR) from 10,665 non-pregnant patients, aged 19 to 64 years old who were diagnosed with diabetes in 2012 or 2013 from 347 community health centers (CHCs) across 16 states (11 expansion and 5 non-expansion states). Patients included had ≥1 outpatient ambulatory visit in each of these periods: pre-ACA: 2012 to 2013, post-ACA: 2014 to 2016, and post-ACA: 2017 to 2019. Acute diabetes-related complications were identified using International Classification Diseases (ICD-9-CM and ICD-10-CM) codes classification and could occur on or after diagnosis of diabetes. We performed difference-in-differences (DID) analysis using a generalized estimating equation to compare the change in rates of acute diabetes complications by year and by Medicaid expansion status. RESULTS: There was a greater increase after year 2015 in visits related to abnormal blood glucose among patient living in Medicaid expansion states than in non-expansion states (2017 DID = 0.041, 95% CI = 0.027-0.056). Although both visits due to any acute diabetes complications and infection-related diabetes complications were higher among patients living in Medicaid expansion states, there was no difference in the trend overtime between expansion and non-expansion states. CONCLUSION: We found a significantly greater rate of visits for abnormal blood glucose in patients receiving care in expansion states relative to patients in CHCs in non-expansion states starting in 2015. Additional resources for these clinics, such as the ability to provide blood glucose monitoring devices or mailed/delivered medications, could substantially benefit patients with diabetes.

Trajectories of Chronic Disease and Multimorbidity Among Middle-aged and Older Patients at Community Health Centers.

Importance: Health-related consequences of multimorbidity (≥2 chronic diseases) are well documented. However, the extent and rate of accumulation of chronic diseases among US patients seeking care in safety-net clinics are not well understood. These insights are needed to enable clinicians, administrators, and policy makers to mobilize resources for prevention of disease escalations in this population. Objectives: To identify the patterns and rate of chronic disease accumulation among middle-aged and older patients seeking care in community health centers, as well as any sociodemographic differences. Design, Setting, and Participants: This cohort study used electronic health record data from January 1, 2012, to December 31, 2019, on 725 107 adults aged 45 years or older with 2 or more ambulatory care visits in 2 or more distinct years at 657 primary care clinics in the Advancing Data Value Across a National Community Health Center network in 26 US states. Statistical analysis was performed from September 2021 to February 2023. Exposures: Race and ethnicity, age, insurance coverage, and federal poverty level (FPL). Main Outcomes and Measures: Patient-level chronic disease burden, operationalized as the sum of 22 chronic diseases recommended by the Multiple Chronic Conditions Framework. Linear mixed models with patient-level random effects adjusted for demographic characteristics and ambulatory visit frequency with time interactions were estimated to compare accrual by race and ethnicity, age, income, and insurance coverage. Results: The analytic sample included 725 107 patients (417 067 women [57.5%]; 359 255 [49.5%] aged 45-54 years, 242 571 [33.5%] aged 55-64 years, and 123 281 [17.0%] aged ≥65 years). On average, patients started with a mean (SD) of 1.7 (1.7) morbidities and ended with 2.6 (2.0) morbidities over a mean (SD) of 4.2 (2.0) years of follow-up. Compared with non-Hispanic White patients, patients in racial and ethnic minoritized groups had marginally lower adjusted annual rates of accrual of conditions (-0.03 [95% CI, -0.03 to -0.03] for Spanish-preferring Hispanic patients; -0.02 [95% CI, -0.02 to -0.01] for English-preferring Hispanic patients; -0.01 [95% CI, -0.01 to -0.01] for non-Hispanic Black patients; and -0.04 [95% CI, -0.05 to -0.04] for non-Hispanic Asian patients). Older patients accrued conditions at higher annual rates compared with patients 45 to 50 years of age (0.03 [95% CI, 0.02-0.03] for 50-55 years; 0.03 [95% CI, 0.03-0.04] for 55-60 years; 0.04 [95% CI, 0.04-0.04] for 60-65 years; and 0.05 [95% CI, 0.05-0.05] for ≥65 years). Compared with those with higher income (always ≥138% of the FPL), patients with income less than 138% of the FPL (0.04 [95% CI, 0.04-0.05]), mixed income (0.01 [95% CI, 0.01-0.01]), or unknown income levels (0.04 [95% CI, 0.04-0.04]) had higher annual accrual rates. Compared with continuously insured patients, continuously uninsured and discontinuously insured patients had lower annual accrual rates (continuously uninsured, -0.003 [95% CI, -0.005 to -0.001]; discontinuously insured, -0.004 [95% CI, -0.005 to -0.003]). Conclusions and Relevance: This cohort study of middle-aged patients seeking care in community health centers suggests that disease accrued at high rates for patients' chronological age. Targeted efforts for chronic disease prevention are needed for patients near or below the poverty line.

Costing of services under National Tuberculosis Elimination Program at public health facilities of northern India.

BACKGROUND: Costing of resources helps to measure financial implications and effective utilization of resources of national programs. As there is limited evidence about cost per service, current study was done to assess the cost of services under National Tuberculosis Elimination Program (NTEP) at Community Health Centres (CHCs) and Primary Health Centres (PHCs) of northern state of India. MATERIAL AND METHODS: Cross-sectional study carried out in two districts and from each district eight CHCs and PHCs were randomly selected. RESULTS: Mean annual cost of providing NTEP services at CHCs and PHCs were US$5243.1 (95%CI: 3008.0-7225.4) and US$1031.9 (95%CI: 669.1-1447.1) respectively. Across both centres human resource contributes to the most (CHC: 72.9%; PHC: 85.9%). One way sensitivity analysis was carried out for all health facilities and observed that human resource cost influences most cost per treated case by providing services under NTEP. Although relatively very less but cost of drugs also influences cost per treatment. CONCLUSION: Cost of delivering services was high for CHCs as compared to PHCs. At both types of health facilities, human resource contributes the most to cost of delivering services under the program.

"We bleed for our community:" A qualitative exploration of the implementation of a pragmatic weight gain prevention trial from the perspectives of community health center professionals.

BACKGROUND: Clinical trial implementation continues to shift toward pragmatic design, with the goal of increasing future adoption in clinical practice. Yet, few pragmatic trials within clinical settings have qualitatively assessed stakeholder input, especially from those most impacted by research implementation and outcomes, i.e., providers and staff. Within this context, we conducted a qualitative study of the implementation of a pragmatic digital health obesity trial with employees at a Federally qualified health center (FQHC) network in central North Carolina. METHODS: Participant recruitment was conducted through purposive sampling of FQHC employees from a variety of backgrounds. Two researchers conducted semi-structured qualitative interviews and collected demographic data. Interviews were digitally recorded, professionally transcribed and double-coded by two independent researchers using NVivo 12. Coding discrepancies were reviewed by a third researcher until intercoder consensus was reached. Responses were compared within and across participants to elucidate emergent themes. RESULTS: Eighteen qualitative interviews were conducted, of whom 39% provided direct medical care to patients and 44% worked at the FQHC for at least seven years. Results illuminated the challenges and successes of a pragmatically designed obesity treatment intervention within the community that serves medically vulnerable patients. Although limited time and staffing shortages may have challenged recruitment processes, respondents described early buy-in from leadership; an alignment of organizational and research goals; and consideration of patient needs as facilitators to implementation. Respondents also described the need for personnel power to sustain novel research interventions and considerations of health center resource constraints. CONCLUSIONS: Results from this study contribute to the limited literature on pragmatic trials utilizing qualitative methods, particularly in community-based obesity treatment. To continue to merge the gaps between research implementation and clinical care, qualitative assessments that solicit stakeholder input are needed within pragmatic trial design. For maximum impact, researchers may wish to solicit input from a variety of professionals at trial onset and ensure that shared common goals and open collaboration between all partners is maintained throughout the trial. TRIAL REGISTRATION: This trial was registered with ClinicalTrials.gov (NCT03003403) on December 28, 2016.

Addressing food insecurity and chronic conditions in community health centres: protocol of a quasi-experimental evaluation of Recipe4Health.

INTRODUCTION: Chronic conditions, such as diabetes, obesity, heart disease and depression, are highly prevalent and frequently co-occur with food insecurity in communities served by community health centres in the USA. Community health centres are increasingly implementing 'Food as Medicine' programmes to address the dual challenge of chronic conditions and food insecurity, yet they have been infrequently evaluated. METHODS AND ANALYSIS: The goal of this quasi-experimental study was to evaluate the effectiveness of Recipe4Health, a 'Food as Medicine' programme. Recipe4Health includes two components: (1) a 'Food Farmacy' that includes 16 weekly deliveries of produce and (2) a 'Behavioural Pharmacy' which is a group medical visit. We will use mixed models to compare pre/post changes among participants who receive the Food Farmacy alone (n=250) and those who receive the Food Farmacy and Behavioural Pharmacy (n=140). The primary outcome, fruit and vegetable consumption, and secondary outcomes (eg, food security status, physical activity, depressive symptoms) will be collected via survey. We will also use electronic health record (EHR) data on laboratory values, prescriptions and healthcare usage. Propensity score matching will be used to compare Recipe4Health participants to a control group of patients in clinics where Recipe4Health has not been implemented for EHR-derived outcomes. Data from surveys, EHR, group visit attendance and produce delivery is linked with a common identifier (medical record number) and then deidentified for analysis with use of an assigned unique study ID. This study will provide important preliminary evidence on the effectiveness of primary care-based strategies to address food insecurity and chronic conditions. ETHICS AND DISSEMINATION: This study was approved by the Stanford University Institutional Review Board (reference protocol ID 57239). Appropriate study result dissemination will be determined in partnership with the Community Advisory Board.

Untreated substance use disorder affects glycemic control: Results in patients with type 2 diabetes served within a network of community-based healthcare centers in Florida.

Introduction: Patients with diabetes and comorbid substance use disorders (SUD) experience poor diabetes management, increased medical complications and mortality. However, research has documented that patients engaged in substance abuse treatment have better management of their comorbid conditions. The current study examines diabetes management among patients with type 2 diabetes, with and without comorbid SUD, receiving care at Florida-based Federally Qualified Health Centers (FQHC) of Health Choice Network (HCN). Methods: A retrospective analysis was conducted using deidentified electronic health records of 37,452 patients with type 2 diabetes who received care at a HCN site in Florida between 2016 and 2019. A longitudinal logistic regression analysis examined the impact of SUD diagnosis on achievement of diabetes management [HbA1c < 7.0% (53 mmol/mol)] over time. A secondary analysis evaluated, within those with an SUD diagnosis, the likelihood of HbA1c control between those with and without SUD treatment. Results: The longitudinal assessment of the relationship between SUD status and HbA1c control revealed that those with SUD (N = 6,878, 18.4%) were less likely to control HbA1c over time (OR = 0.56; 95% CI = 0.49-0.63). Among those with SUD, patients engaged in SUD treatment were more likely to control HbA1c (OR = 5.91; 95% CI = 5.05-6.91). Discussion: Findings highlight that untreated SUD could adversely affect diabetes control and sheds light on the opportunity to enhance care delivery for patients with diabetes and co-occurring SUD.

Patient-Reported Social Risks and Clinician Decision Making: Results of a Clinician Survey in Primary Care Community Health Centers.

PURPOSE: To assess the extent that patients' social determinants of health (SDOH) influence safety-net primary care clinicians' decisions at the point of care; examine how that information comes to the clinician's attention; and analyze clinician, patient, and encounter characteristics associated with the use of SDOH data in clinical decision making. METHODS: Thirty-eight clinicians working in 21 clinics were prompted to complete 2 short card surveys embedded in the electronic health record (EHR) daily for 3 weeks. Survey data were matched with clinician-, encounter-, and patient-level variables from the EHR. Descriptive statistics and generalized estimating equation models were used to assess relationships between the variables and the clinician reported use of SDOH data to inform care. RESULTS: Social determinants of health were reported to influence care in 35% of surveyed encounters. The most common sources of information on patients' SDOH were conversations with patients (76%), prior knowledge (64%), and the EHR (46%). Social determinants of health were significantly more likely to influence care among male and non-English-speaking patients, and those with discrete SDOH screening data documented in the EHR. CONCLUSIONS: Electronic health records present an opportunity to support clinicians integrating information about patients' social and economic circumstances into care planning. Study findings suggest that SDOH information from standardized screening documented in the EHR, combined with patient-clinician conversations, may enable social risk-adjusted care. Electronic health record tools and clinic workflows could be used to support both documentation and conversations. Study results also identified factors that may cue clinicians to include SDOH information in point-of-care decision-making. Future research should explore this topic further.

Impact of COVID-19 Pandemic on Assessing Tobacco Status in Community Health Centers.

Few have studied the COVID-19 pandemic's impact on tobacco use status assessment and cessation counseling. Electronic health record data from 217 primary care clinics were examined from January 1, 2019 to July 31, 2021. Data included telehealth and in-person visits for 759,138 adult patients (aged ≥18 years). Monthly rates of tobacco assessment per 1,000 patients were calculated. From March 2020 to May 2020, tobacco assessment monthly rates declined by 50% and increased from June 2020 to May 2021 but remained 33.5% lower than pre-pandemic levels. Rates of tobacco cessation assistance changed less, but remain low. These findings are significant given the relevance of tobacco use to increased severity of COVID-19.

Assessing the Impact of Telemedicine Implementation in Diverse Health Care Systems.

Health care organizations and systems can have a large impact on how extensively telemedicine and virtual visits are used by medical practices and individual clinicians. This supplemental issue of medical care aims to advance evidence about how health care organizations and systems can best support telemedicine and virtual visit implementation. This issue includes 10 empirical studies examining the impact of telemedicine on quality of care, utilization, and/or patient care experiences, of which 6 are studies of Kaiser Permanente patients; 3 are studies of Medicaid, Medicare, and community health center patients; and 1 is a study of PCORnet primary care practices. The Kaiser Permanente studies find that ancillary service orders resulting from telemedicine encounters were not placed as often as in-person encounters for urinary tract infections, neck, and back pain, but there were no significant changes in patient fulfillment of ordered antidepressant medications. Studies focused on diabetes care quality among community health center patients and Medicare and Medicaid beneficiaries highlight that telemedicine helped maintain continuity of primary care and diabetes care quality during the COVID-19 pandemic. The research findings collectively demonstrate high variation in telemedicine implementation across systems and the important role that telemedicine had in maintaining the quality of care and utilization for adults with chronic conditions when in-person care was less accessible.

Telehealth Use, Care Continuity, and Quality: Diabetes and Hypertension Care in Community Health Centers Before and During the COVID-19 Pandemic.

BACKGROUND: Community health centers (CHCs) pivoted to using telehealth to deliver chronic care during the coronavirus COVID-19 pandemic. While care continuity can improve care quality and patients' experiences, it is unclear whether telehealth supported this relationship. OBJECTIVE: We examine the association of care continuity with diabetes and hypertension care quality in CHCs before and during COVID-19 and the mediating effect of telehealth. RESEARCH DESIGN: This was a cohort study. PARTICIPANTS: Electronic health record data from 166 CHCs with n=20,792 patients with diabetes and/or hypertension with ≥2 encounters/year during 2019 and 2020. METHODS: Multivariable logistic regression models estimated the association of care continuity (Modified Modified Continuity Index; MMCI) with telehealth use and care processes. Generalized linear regression models estimated the association of MMCI and intermediate outcomes. Formal mediation analyses assessed whether telehealth mediated the association of MMCI with A1c testing during 2020. RESULTS: MMCI [2019: odds ratio (OR)=1.98, marginal effect=0.69, z=165.50, P<0.001; 2020: OR=1.50, marginal effect=0.63, z=147.73, P<0.001] and telehealth use (2019: OR=1.50, marginal effect=0.85, z=122.87, P<0.001; 2020: OR=10.00, marginal effect=0.90, z=155.57, P<0.001) were associated with higher odds of A1c testing. MMCI was associated with lower systolic (ß=-2.90, P<0.001) and diastolic blood pressure (ß=-1.44, P<0.001) in 2020, and lower A1c values (2019: ß=-0.57, P=0.007; 2020: ß=-0.45, P=0.008) in both years. In 2020, telehealth use mediated 38.7% of the relationship between MMCI and A1c testing. CONCLUSIONS: Higher care continuity is associated with telehealth use and A1c testing, and lower A1c and blood pressure. Telehealth use mediates the association of care continuity and A1c testing. Care continuity may facilitate telehealth use and resilient performance on process measures.

Perceptions of Artificial Intelligence Use in Primary Care: A Qualitative Study with Providers and Staff of Ontario Community Health Centres.

PURPOSE: To understand staff and health care providers' views on potential use of artificial intelligence (AI)-driven tools to help care for patients within a primary care setting. METHODS: We conducted a qualitative descriptive study using individual semistructured interviews. As part of province-wide Learning Health Organization, Community Health Centres (CHCs) are a community-governed, team-based delivery model providing primary care for people who experience marginalization in Ontario, Canada. CHC health care providers and staff were invited to participate. Interviews were audio-recorded and transcribed verbatim. We performed a thematic analysis using a team approach. RESULTS: We interviewed 27 participants across 6 CHCs. Participants lacked in-depth knowledge about AI. Trust was essential to acceptance of AI; people need to be receptive to using AI and feel confident that the information is accurate. We identified internal influences of AI acceptance, including ease of use and complementing clinical judgment rather than replacing it. External influences included privacy, liability, and financial considerations. Participants felt AI could improve patient care and help prevent burnout for providers; however, there were concerns about the impact on the patient-provider relationship. CONCLUSIONS: The information gained in this study can be used for future research, development, and integration of AI technology.

Partner-developed electronic health record tools to facilitate social risk-informed care planning.

OBJECTIVE: Increased social risk data collection in health care settings presents new opportunities to apply this information to improve patient outcomes. Clinical decision support (CDS) tools can support these applications. We conducted a participatory engagement process to develop electronic health record (EHR)-based CDS tools to facilitate social risk-informed care plan adjustments in community health centers (CHCs). MATERIALS AND METHODS: We identified potential care plan adaptations through systematic reviews of hypertension and diabetes clinical guidelines. The results were used to inform an engagement process in which CHC staff and patients provided feedback on potential adjustments identified in the guideline reviews and on tool form and functions that could help CHC teams implement these suggested adjustments for patients with social risks. RESULTS: Partners universally prioritized tools for social risk screening and documentation. Additional high-priority content included adjusting medication costs and changing follow-up plans based on reported social risks. Most content recommendations reflected partners' interests in encouraging provider-patient dialogue about care plan adaptations specific to patients' social needs. Partners recommended CDS tool functions such as alerts and shortcuts to facilitate and efficiently document social risk-informed care plan adjustments. DISCUSSION AND CONCLUSION: CDS tools were designed to support CHC providers and staff to more consistently tailor care based on information about patients' social context and thereby enhance patients' ability to adhere to care plans. While such adjustments occur on an ad hoc basis in many care settings, these are among the first tools designed both to systematize and document these activities.

TAIBU Community Health Centre's Proportionate Response to a Disproportionate Pandemic.

Data from the City of Toronto indicate that the majority of COVID-19 cases and hospitalizations as of December 2021 were among individuals who identified with a racialized group. In this paper, we summarize how TAIBU Community Health Centre, an organization mandated to serve the Black and Francophone communities in the Greater Toronto Area, prioritized and embedded race-based data collection in order to highlight the specific experiences of Black and racialized communities during the COVID-19 pandemic. Lessons learned from this work can be used to help support race-based data collection.

Factors Associated With Blood Pressure Control Among Patients in Community Health Centers.

INTRODUCTION: Understanding the multilevel factors associated with controlled blood pressure is important to determine modifiable factors for future interventions, especially among populations living in poverty. This study identified clinically important factors associated with blood pressure control among patients receiving care in community health centers. METHODS: This study includes 31,089 patients with diagnosed hypertension by 2015 receiving care from 103 community health centers; aged 19-64 years; and with ≥1 yearly visit with ≥1 recorded blood pressure in 2015, 2016, and 2017. Blood pressure control was operationalized as an average of all blood pressure measurements during all the 3 years and categorized as controlled (blood pressure <140/90), partially controlled (mixture of controlled and uncontrolled blood pressure), or never controlled. Multinomial mixed-effects logistic regression models, conducted in 2022, were used to calculate unadjusted ORs and AORs of being in the never- or partially controlled blood pressure groups versus in the always-controlled group. RESULTS: A total of 50.5% had always controlled, 39.7% had partially controlled, and 9.9% never had controlled blood pressure during the study period. The odds of being partially or never in blood pressure control were higher for patients without continuous insurance (AOR=1.09; 95% CI=1.03, 1.16; AOR=1.18; 95% CI=1.07, 1.30, respectively), with low provider continuity (AOR=1.24; 95% CI=1.15, 1.34; AOR=1.28; 95% CI=1.13, 1.45, respectively), with a recent diagnosis of hypertension (AOR=1.34; 95% CI=1.20, 1.49; AOR=1.19; 95% CI=1.00, 1.42), with inconsistent antihypertensive medications (AOR=1.19; 95% CI=1.11, 1.27; AOR=1.26; 95% CI=1.13, 1.41, respectively), and with fewer blood pressure checks (AOR=2.14; 95% CI=1.97, 2.33; AOR=2.17; 95% CI=1.90, 2.48, respectively) than for their counterparts. CONCLUSIONS: Efforts targeting continuous and consistent access to care, antihypertensive medications, and regular blood pressure monitoring may improve blood pressure control among populations living in poverty.

Associations between Primary Healthcare Experiences and Glycemic Control Status in Patients with Diabetes: Results from the Greater Bay Area Study, China.

Primary healthcare (PHC) plays an important role in diabetes management; community health centers (CHCs) serve as the main providers of PHC. However, few studies have discussed the association between the service quality of PHC and the effects of diabetes management. In this study, we explored the associations between experiences of PHC in CHCs and glycemic control status in patients with diabetes mellitus. This study was conducted in six CHCs in the Greater Bay Area of China. In total, 418 patients with diabetes mellitus (44% males and 56% females) were recruited between August and October 2019. We evaluated their PHC experiences using the Primary Care Assessment Tool (PCAT) developed by Johns Hopkins and assessed their glycemic control status by measuring their fasting plasma glucose levels. Binary logistic regression analyses were conducted to assess the associations between the patients' PHC experiences and glycemic control status, adjusting for covariates. The patients with good glycemic control had significantly higher total and dimensional PCAT scores compared with those with poor glycemic control (p < 0.05). Higher PCAT scores were significantly associated with a greater adjusted odds ratios (aORs) of good glycemic control for total and dimensional PCAT scores. For example, compared to those with poor glycemic control, the aORs for those with good glycemic control was 8.82 (95% CI = 4.38−17.76) per total PCAT score increasing. Especially, the aORs for those with good glycemic control were 3.92 (95% CI = 2.38−6.44) and 4.73 (95% CI = 2.73−8.20) per dimensional PCAT score of family-centeredness and community orientation increasing, respectively. Better PHC experiences were associated with better diabetes management. In particular, family-centered and community-oriented CHCs may help improve diabetes management in China and other low- and middle-income countries.

Can primary care physician recommendation improve influenza vaccine uptake among older adults? A community health centre-based experimental study in China.

BACKGROUND: To promote influenza vaccination coverage, a Chinese megacity, Shenzhen provides free influenza vaccination to its residents aged 60 years and above through community health centres (CHCs) since October 2016. A community health centre-based experiment was conducted by asking primary care physicians (PCPs) working in the intervention health centres to proactively recommend influenza vaccination to their patients aged 60 and above during their patients' visits. METHODS: This study used an experimental design and a survey design. The experimental design evaluated the effect of PCP recommendation on influenza vaccination. A total of 24 CHCs were randomly selected as the intervention (involving 3814 participants) and control (3072 participants) group evenly. The intervention study period was during the 2017-2018 flu season. The 2016-2017 flu season was considered as the baseline comparison. The survey design examined changes in knowledge, attitude, and practice of influenza vaccination among older participants before and after the free influenza vaccination implementation. We randomly invited 1200 participants aged 60 and above during their visits to CHCs in October 2016 and followed them up until October 2017; among them, 958 participants completed the follow-up survey using the same questionnaire. RESULTS: In the 2017-2018 flu season, 1,100 more patients got vaccinated in the intervention group under PCP recommendation compared with the 2016-2017 flu season. Among the 958 older adults in the post-implementation period, 77.5% had heard about the influenza vaccine, which was 24.7% higher than in the pre-implementation period; 84.8% of participants were aware where to take influenza vaccines, with the most improvement of 37.2% among all knowledge related questions; 62.5% of them agreed that patients with chronic diseases should have influenza vaccine, which was 19.1% higher than those being surveyed before the implementation period. About 83.6% of participants agreed older adults should have influenza vaccine, but there were still 58.4% who considered themselves too healthy to get vaccinated. CONCLUSION: PCP recommendation improved influenza vaccine uptake and knowledge, attitude, and practice levels regarding influenza vaccination among older adults. More health policies and health education should be made to raise vaccination willingness and improve vaccination coverage among older adults.