Patient and Clinician Satisfaction With Diabetes Group Visits in Community Health Centers.
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ABSTRACT:
SUBMITTER: Mannion SE
PROVIDER: S-EPMC8646815 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Diabetes is the seventh leading cause of death in the US. Diabetes group visits (GVs), which include group education and individual medical visits have been shown to improve clinical outcomes. However, few studies have evaluated virtual GVs. We conducted a single-arm pilot study to test the impact of virtual diabetes GVs in Midwestern community health centers (CHCs). Adult patients with diabetes participated in monthly virtual GVs for 6 months. Surveys and chart abstraction were used to assess patient-reported and clinical outcomes. Five CHCs implemented virtual GVs with 34 patients attending at least one session. Virtual GVs show promise as evidenced by these findings: (1) Patients had a nonsignificant decrease in A1C. (2) In the subgroup of patients with baseline A1C ≥ 9%, there was a significant decrease in A1C. (3) Patients had significant increases in diabetes knowledge and support as well as a decrease in diabetes distress. Future studies with a larger sample size and a control comparison group are needed to assess the impact of virtual GVs on patient outcomes.
| S-EPMC10492483 | biostudies-literature
Project description:RATIONALE, AIMS AND OBJECTIVES: To examine factors related to recruitment of eligible patients and retention of enrolled patients in diabetes group visits (GVs).MethodAs part of a cluster randomized trial, 272 eligible patients were contacted and 75 patients were eventually enrolled in GVs at six community health centers (CHC). Fisher's exact tests and χ2 tests were used to compare enrolled and nonenrolled patients by patient recruitment method, gender and preferred language. Linear mixed models were used to evaluate characteristics associated with GV attendance such as diabetes self-empowerment and diabetes-associated distress. Content analysis was used to analyse patients' open-ended survey responses, and template analysis was used to analyse CHC staff interviews.ResultsIn terms of recruitment and enrollment analysis, patients who received in-person contact only and both phone and in-person contact comprised a greater fraction of the enrolled than unenrolled group, while those who received phone only and both phone and mail comprised a smaller fraction of the enrolled than unenrolled group (p = 0.004). In terms of retention analysis, 70 of the 75 enrolled patients attended at least one GV (93%). The average number of GVs was 3.2 out of 6 visits. Higher GV attendance was associated with lower baseline diabetes empowerment (p = 0.03). Patients' most common self-reported motivating factors to attend GVs were to learn more about diabetes, gain improved blood glucose control and find support from peers.ConclusionIn-person recruitment for GVs at CHCs was more effective than recruitment by telephone/mail. Patients who felt less empowered to manage their diabetes were most motivated to attend GVs. These findings could help clinicians implement targeted recruitment of patient populations who are more likely to attend diabetes GVs and tailor self-management education interventions to their patient populations, particularly for underserved patients who face disparate clinical outcomes.
| S-EPMC10086856 | biostudies-literature
Project description:OBJECTIVE:Regional primary health care system capacity may affect the demand for psychiatric visits to the emergency department (ED). In the United States, community health centers (CHCs), which serve low-income regions regardless of individuals' ability to pay, expanded primary care services by over 70% in the past decade. No research, however, evaluates whether this expansion affects overall psychiatric ED visits. This hypothesis is tested in 143 U.S. counties that expanded CHC services. METHODS:For the years 2006 through 2011, 18.84 million psychiatric outpatient ED visits were aggregated by county-year for the 143 U.S. counties with a participating CHC. The rate of psychiatric ED cases in a county-year is the dependent variable. Two independent variables were examined: total patients seen at CHCs and total patients receiving mental health services at CHCs. Fixed-effects regression methods controlled for county effects, year effects, and other health care and sociodemographic factors. RESULTS:Psychiatric ED visits fell below expected levels in county-years where the volume of overall CHC patients rose (coefficient=-0.059; standard error=0.027, p=0.03). Findings indicate no relation between the volume of mental health patients seen at CHCs and psychiatric ED visits. CONCLUSIONS:An increase in general primary health care to an underserved population, in the form of CHCs, corresponds with a decline in psychiatric ED visits. This result coheres with a recent Medicaid expansion experiment in which increased access to general primary care reduced the prevalence of undiagnosed and untreated depression. Findings, if replicated, may hold policy implications for regional health systems.
| S-EPMC6773500 | biostudies-literature
Project description:BackgroundTurkey hosts an estimated 3.7 million Syrian refugees. Syrian refugees have access to free primary care provided through Refugee Health Centers(RHC). We aimed to determine factors that influence patient satisfaction in refugee health centers.MethodsThe study was a cross-sectional quantitative study. A patient survey was administered among 4548 patients attending services in selected 16 provinces in Turkey. A quantitative questionnaire was used to collect information on patient satisfaction and experience in the healthcare facility. Information on "overall satisfaction with health services" was collected on a 5-point Likert scale and dichotomized for analysis. Logistic regression was conducted to identify factors that influenced patient satisfaction.ResultsWe found that 78.2% of the participants were satisfied with the health services they received. Factors related to service quality and communication were significant determinants of patient satisfaction. The strongest predictors of satisfaction were having a sufficient consultation time (AOR: 2.37; 95% CI: 1.76-3.21; p< 0.0001), receiving a comprehensive examination (AOR: 2.01; 95% CI: 1.49-2.70; p < 0.0001) and being treated with respect by the nurse (AOR: 2.08; 95% CI: 1.52-2.85; p< 0.0001).ConclusionProviding integrated, culturally and linguistically sensitive health services is important in refugee settings. The quality of service and communication with patients influence patient satisfaction in refugee health centers. As such, improvements in aspects such as consultation time and the quality of physician-patient interaction are recommended for patient satisfaction.
| S-EPMC9480993 | biostudies-literature
Project description:Importance:Prior studies suggesting clinician fulfillment or denial of requests affects patient satisfaction included limited adjustment for patient confounders. The studies also did not examine distinct request types, yet patient expectations and clinician fulfillment or denial might vary among request types. Objective:To examine how patient satisfaction with the clinician is associated with clinician denial of distinct types of patient requests, adjusting for patient characteristics. Design, Setting, and Participants:Cross-sectional observational study of 1319 outpatient visits to family physicians (n = 56) by 1141 adults at one Northern California academic health center. Main Outcomes and Measures:We used 6 Consumer Assessment of Healthcare Providers and Systems Clinician and Group Adult Visit Survey items to measure patient satisfaction with the visit physician. Standardized items were averaged to form the satisfaction score (Cronbach α = 0.80), which was then percentile-transformed. Seven separate linear mixed-effects models examined the adjusted mean differences in patient satisfaction percentile associated with denial of each of the following requests (if present)-referral, pain medication, antibiotic, other new medication, laboratory test, radiology test, or other test-compared with fulfillment of the respective requests. The models adjusted for patient sociodemographics, weight, health status, personality, worry over health, prior visit with clinician, and the other 6 request categories and their dispositions. Results:The mean (SD) age of the 1141 patients was 45.6 (16.1) years, and 902 (68.4%) were female. Among 1319 visits, 897 (68.0%) included at least 1 request; 1441 (85.2%) were fulfilled. Requests by category were referral, 294 (21.1%); pain medication, 271 (20.5%); antibiotic, 107 (8.1%); other new medication, 271 (20.5%); laboratory test, 448 (34.0%); radiology test, 153 (11.6%); and other tests, 147 (11.1%). Compared with fulfillment of the respective request type, clinician denials of requests for referral, pain medication, other new medication, and laboratory test were associated with worse satisfaction (adjusted mean percentile differences, -19.75 [95% CI, -30.75 to -8.74], -10.72 [95% CI, -19.66 to -1.78], -20.36 [95% CI, -29.54 to -11.18], and -9.19 [95% CI, -17.50 to -0.87]), respectively. Conclusions and Relevance:Clinician denial of some types of requests was associated with worse patient satisfaction with the clinician, but not for others, when compared with fulfillment of the requests. In an era of patient satisfaction-driven compensation, the findings suggest the need to train clinicians to deal effectively with requests, potentially enhancing patient and clinician experiences.
| S-EPMC5833505 | biostudies-literature
Project description:PurposeShenzhen is the first pilot city in China implementing the gatekeeper policy, with community health service (CHS) centers as the gatekeepers. We aim to investigate patient satisfaction with this policy and its influencing factors in Shenzhen.Methods3,848 patients visiting eight CHS centers in Shenzhen of China between May 1 and July 28, 2013 were recruited. We interviewed them using a structured questionnaire to investigate their satisfaction with the gatekeeper policy of CHS. Multivariable logistic regression models were used to identify influencing factors.ResultsOf the respondents, 28.17%, 47.27% and 24.56% were satisfied with, neutral to, and not satisfied with the gatekeeper policy respectively. Patient satisfaction with this policy was found to be associated with education level, familiarity with the policy, referral experience, satisfaction with convenience of seeing a doctor, satisfaction with waiting time, satisfaction with medical facility, satisfaction with general medical practitioners' professional skill, and proportion of expense reimbursed.ConclusionsOur investigation shows that patient satisfaction with the gatekeeper policy was low. To improve patient satisfaction, efforts should be made to increase the convenience of seeing a doctor in community, shorten waiting time, improve general medical practitioners' professional skill, and increase proportion of expense reimbursement.
| S-EPMC4994937 | biostudies-literature
Project description:A major source of primary health care for millions of Americans, community health centers (CHCs) act as a key point of access for diabetes care. The ability of a CHC to deliver high quality care, that supports patients' management of their diabetes, may be impacted by the unique set of resources and constraints it faces, both in terms of characteristics of its patient population and aspects of operations. This study examines how patient and regional characteristics, staffing patterns, and efficiency were associated with diabetes management at CHCs (percentage of patients with uncontrolled diabetes, HbA1C > 9%). Data on a sample of 1229 CHCs came from multiple sources. CHC-level information was obtained from the Uniform Data System and regional-level information from the Behavioral Risk Factor Surveillance System and the US Census American Community Survey. A clustering methodology, latent class analysis, identified seven underlying staffing patterns at CHCs. Data envelopment analysis was performed to evaluate the efficiency of CHCs, relative to centers with similar staffing patterns. Finally, generalized linear models were used to examine the association between staffing patterns, efficiency, and patient and regional-level characteristics. Findings from this study have sociological, practical, and methodological implications. Findings highlight that the intersection of patient racial composition with regional racial composition is significant; diabetes control appears to be worse at CHCs serving racial minorities living in predominantly White areas. Findings suggest that CHCs that incorporate more behavioral health care into their staffing mix have lower rates of uncontrolled diabetes among their patients. Finally, greater efficiency in CHC operations is associated with better diabetes control among patients. By identifying sociodemographic and operational characteristics associated with better hemoglobin control among diabetes patients, the current study contributes to our understanding of both health care operations and health inequalities.
| S-EPMC7295229 | biostudies-literature
Project description:ObjectivePrior studies of community health centers (CHCs) have found that clinicians supported by the National Health Service Corps (NHSC) provide a comparable number of primary care visits per full-time clinician as non-NHSC clinicians and provide more behavioral health care visits per clinician than non-NHSC clinicians. This present study extends prior research by examining the contribution of NHSC and non-NHSC clinicians to medical and behavioral health costs per visit.MethodsUsing 2013-2017 data from 1022 federally qualified health centers merged with the NHSC participant data, we constructed multivariate linear regression models with health center and year fixed effects to examine the marginal effect of each additional NHSC and non-NHSC staff full-time equivalent (FTE) on medical and behavioral health care costs per visit in CHCs.ResultsOn average, each additional NHSC behavioral health staff FTE was associated with a significant reduction of 3.55 dollars of behavioral health care costs per visit in CHCs and was associated with a larger reduction of 7.95 dollars in rural CHCs specifically. In contrast, each additional non-NHSC behavioral health staff FTE did not significantly affect changes in behavioral health care costs per visit. Each additional NHSC primary care staff FTE was not significantly associated with higher medical care costs per visit, while each additional non-NHSC clinician contributed to a slight increase of $0.66 in medical care costs per visit.ConclusionsCombined with previous findings on productivity, the present findings suggest that the use of NHSC clinicians is an effective approach to improving the capacity of CHCs by increasing medical and behavioral health care visits without increasing costs of services in CHCs, including rural health centers.
| S-EPMC8428858 | biostudies-literature
Project description:BACKGROUND:Mobile health (m-health) tools are a promising strategy to facilitate the work of community health workers (CHWs) in low- and middle-income countries (LMICs). Despite their potential value, little is known about CHWs' experiences working with m-health tools in their outreach activities with community members. METHODS:To understand the benefits of and barriers to using m-health tools for CHWs, we conducted semi-structured interviews with 57 CHWs employed in six primary care centers in São Paulo, Brazil. All CHWs had experience using a cell phone application called Geohealth for collecting health and demographic data of community members. We assessed their experiences using Geohealth and recommendations for improvements. RESULTS:CHWs described key benefits of using Geohealth as helping them save time with bureaucratic paperwork, organizing the data that they needed to collect, and by replacing sheaves of paper, reducing the weight that they carried in the field. However, there were many technical and social barriers to the successful adoption of the m-health tool. Key among these were poor quality hardware, faulty software programs, and negative community member perceptions of the m-health program. The CHWs provided valuable input as to how Geohealth could be improved to fit their needs. CONCLUSION:m-health tools have the potential to facilitate the work of CHWs in LMICs. However, such tools must be designed and implemented thoughtfully. Technical barriers related to both hardware and software must be anticipated and addressed to maximize their efficiency and successful adoption. CHW input on the design of the tool should be sought to maximize its utility and minimize barriers to use.
| S-EPMC5622566 | biostudies-literature
Project description:Current diabetes management guidelines offer blueprints for providers, yet type 2 diabetes control is often poor in disadvantaged populations. The group visit is a new treatment modality originating in managed care for efficient service delivery to patients with chronic health problems. Group visits offer promise for delivering care to diabetic patients, as visits are lengthier and can be more frequent, more organized, and more educational.To evaluate the effect of group visits on clinical outcomes, concordance with 10 American Diabetes Association (ADA) guidelines [American Diabetes Association, Diabetes Care, 28:S4-36, 2004] and 3 United States Preventive Services Task Force (USPSTF) cancer screens [U.S. Preventive Services Task Force, http://www.ahrq.gov/clinic/uspstf/resource.htm, 2003].A 12-month randomized controlled trial of 186 diabetic patients comparing care in group visits with care in the traditional patient-physician dyad. Clinical outcomes (HbA1c, blood pressure [BP], lipid profiles) were assessed at 6 and 12 months and quality of care measures (adherence to 10 ADA guidelines and 3 USPSTF cancer screens) at 12 months.At both measurement points, HbA1c, BP, and lipid levels did not differ significantly for patients attending group visits versus those in usual care. At 12 months, however, patients receiving care in group visits exhibited greater concordance with ADA process-of-care indicators (p < .0001) and higher screening rates for cancers of the breast (80 vs. 68%, p = .006) and cervix (80 vs 68%, p = .019).Group visits can improve the quality of care for diabetic patients, but modifications to the content and style of group visits may be necessary to achieve improved clinical outcomes.
| S-EPMC1852919 | biostudies-other