Dataset Information

Together Achieving More: Primary Care Team Communication and Alcohol-Related Healthcare Utilization and Costs.

ABSTRACT: Identifying and engaging excessive alcohol users in primary care may be an effective way to improve patient health outcomes, reduce alcohol-related acute care events, and lower costs. Little is known about what structures of primary care team communication are associated with alcohol-related patient outcomes.Using a sociometric survey of primary care clinic communication, this study evaluated the relation between team communication networks and alcohol-related utilization of care and costs. Between May 2013 and December 2013, a total of 155 healthcare employees at 6 primary care clinics participated in a survey on team communication. Three-level hierarchical modeling evaluated the link between connectedness within the care team and the number of alcohol-related emergency department visits, hospital days, and associated medical care costs in the past 12 months for each team's primary care patient panel.Teams (n = 31) whose registered nurses displayed more strong (at least daily) face-to-face ties and strong (at least daily) electronic communication ties had 10% fewer alcohol-related hospital days (rate ratio [RR] = 0.90; 95% confidence interval [CI]: 0.84, 0.97). Furthermore, in an average team size of 19, each additional team member with strong interaction ties across the whole team was associated with $1,030 (95% CI: -$1,819, -$241) lower alcohol-related patient healthcare costs per 1,000 team patients in the past 12 months. Conversely, teams whose primary care practitioner (PCP) had more strong face-to-face communication ties and more weak (weekly or several times a week) electronic communication ties had 12% more alcohol-related hospital days (RR = 1.12; 95% CI: 1.03, 1.23) and $1,428 (95% CI: $378, $2,478) higher alcohol-related healthcare costs per 1,000 patients in the past 12 months. The analyses controlled for patient age, gender, insurance, and comorbidity diagnoses.Excessive alcohol-using patients may fair better if cared for by teams whose face-to-face and electronic communication networks include more team members and whose communication to the PCP has been streamlined to fewer team members.

SUBMITTER: Mundt MP

PROVIDER: S-EPMC4592408 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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Together Achieving More: Primary Care Team Communication and Alcohol-Related Healthcare Utilization and Costs.

Mundt Marlon P MP Zakletskaia Larissa I LI Shoham David A DA Tuan Wen-Jan WJ Carayon Pascale P

Alcoholism, clinical and experimental research 20150909 10

<h4>Background</h4>Identifying and engaging excessive alcohol users in primary care may be an effective way to improve patient health outcomes, reduce alcohol-related acute care events, and lower costs. Little is known about what structures of primary care team communication are associated with alcohol-related patient outcomes.<h4>Methods</h4>Using a sociometric survey of primary care clinic communication, this study evaluated the relation between team communication networks and alcohol-related ...[more]

PMID: 26350957

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Project description:AimsMultidisciplinary team (MDT) management in heart failure (HF) is recommended to reduce mortality and HF hospitalization. We investigated whether an MDT in a community-based HF unit (HFU) impacted patients' healthcare utilization (HCU) and costs.Methods and resultsA retrospective cohort study was conducted among HF patients who visited at least once in a regional community-based HFU, established for ambulatory specialist care for New York Heart Association Functional Classes III and IV, between January 2012 and August 2019. HCU data were obtained from the health maintenance organization's claims data for 12 months before and after first HFU visit. Multivariable generalized estimating equation models were specified for the annual average change in total healthcare utilization and hospitalization costs. Our cohort consisted of 962 patients, of whom 843 (87.6%) completed at least 12 months of follow-up (Group A) and 119 (12.4%) died within 12 months following their first visit (Group B). Both groups were comparable regarding sex, socio-economic status, Charlson Comorbidity Index, ischaemic heart disease, and/or carotid artery disease. Those who died within 12 months were older and had more hypertension, diabetes, chronic renal disease, and malignancy. There was a significant reduction in the total average annual HCU costs of the entire study population 12 months after the first HFU visit [$12 675 (±17 210) after vs. $13 188 (±15 011) before, P = 0.014]. This was driven by a reduction in costs among patients who completed 12 months of follow-up [$11 955 (±17 352) after vs. $13 112 (±15 268) before, P < 0.001], whereas an increase in these costs was observed among patients who died during follow-up [$17 774 (±15 292) after vs. $13 728 (±13 093) before, P = 0.015]. These opposite trends stem mainly from a decrease [$3540 (±8991) after vs. $4941 (±6806) before, P < 0.001] vs. increase [$10 932 (±11 660) after vs. $6733 (±7215) before, P = 0.002] in hospitalization costs of these groups, respectively. The multivariable models revealed that patients who died within 12 months following the first visit to the HFU demonstrated a significant increase of 57% in hospitalization costs following their first visit [relative risk (RR) = 1.57, 95% confidence interval (CI): 1.20-2.05, P = 0.001], whereas there was a decrease of 34% in the hospitalization costs of patients who completed 12 months of follow-up after their first visit (RR = 0.66, 95% CI: 0.54-0.81, P < 0.001). The entire cohort demonstrated 27% decrease in hospitalization costs following their first HFU visit (RR = 0.73, 95% CI: 0.62-0.87, P < 0.001).ConclusionsIntensification of therapy by a dedicated MDT significantly reduced healthcare utilization and costs, predominantly due to a decrease in hospitalizations.

Project description:ImportanceEmpirical study findings to date are mixed on the association between team-based primary care initiatives and health care use and costs for Medicaid and commercially insured patients, especially those with multiple chronic conditions.ObjectiveTo evaluate the association of establishing team-based primary care with patient health care use and costs.Design, setting, and participantsWe used difference-in-differences to compare preutilization and postutilization rates between intervention and comparison practices with inverse probability weighting to balance observable differences. We fit a linear model using generalized estimating equations to adjust for clustering at 18 academically affiliated primary care practices in the Boston, Massachusetts, area between 2011 and 2015. The study included 83 953 patients accounting for 138 113 patient-years across 18 intervention practices and 238 455 patients accounting for 401 573 patient-years across 76 comparison practices. Data were analyzed between April and August 2018.ExposuresPractices participated in a 4-year learning collaborative that created and supported team-based primary care.Main outcomes and measuresOutpatient visits, hospitalizations, emergency department visits, ambulatory care-sensitive hospitalizations, ambulatory care-sensitive emergency department visits, and total costs of care.ResultsOf 322 408 participants, 176 259 (54.7%) were female; 64 030 (19.9%) were younger than 18 years and 258 378 (80.1%) were age 19 to 64 years. Intervention practices had fewer participants, with 2 or more chronic conditions (n = 51 155 [37.0%] vs n = 186 954 [46.6%]), more participants younger than 18 years (n = 337 931 [27.5%] vs n = 74 691 [18.6%]), higher Medicaid enrollment (n = 39 541 [28.6%] vs n = 81 417 [20.3%]), and similar sex distributions (75 023 women [54.4%] vs 220 097 women [54.8%]); however, after inverse probability weighting, observable patient characteristics were well balanced. Intervention practices had higher utilization in the preperiod. Patients in intervention practices experienced a 7.4% increase in annual outpatient visits relative to baseline (95% CI, 3.5%-11.3%; P < .001) after adjusting for patient age, sex, comorbidity, zip code level sociodemographic characteristics, clinician characteristics, and plan fixed effects. In a subsample of patients with 2 or more chronic conditions, there was a statistically significant 18.6% reduction in hospitalizations (95% CI, 1.5%-33.0%; P = .03), 25.2% reduction in emergency department visits (95% CI, 6.6%-44.0%; P = .007), and a 36.7% reduction in ambulatory care-sensitive emergency department visits (95% CI, 9.2%-64.0%; P = .009). Among patients with less than 2 comorbidities, there was an increase in outpatient visits (9.2%; 95% CI, 5.10%-13.10%; P < .001), hospitalizations (36.2%; 95% CI, 12.2-566.6; P = .003), and ambulatory care-sensitive hospitalizations (50.6%; 95% CI, 7.1%-329.2%; P = .02).Conclusions and relevanceWhile establishing team-based care was not associated with differences in the full patient sample, there were substantial reductions in utilization among a subset of chronically ill patients. Team-based care practice transformation in primary care settings may be a valuable tool in improving the care of sicker patients, thereby reducing avoidable use; however, it may lead to greater use among healthier patients.

Project description:ObjectivesTo determine the association of the frailty phenotype with subsequent healthcare costs and utilization.DesignProspective cohort study (Osteoporotic Fracture in Men [MrOS]).SettingSix US sites.ParticipantsA total of 1,514 community-dwelling men (mean age = 79.3 years) participating in the MrOS Year 7 (Y7) examination linked with their Medicare claims data.MeasurementsAt Y7, the frailty phenotype was operationalized using five components and categorized as robust, pre-frail, or frail. Multimorbidity and a frailty indicator (approximating the deficit accumulation index) were derived from claims data. Functional limitations were assessed by asking about difficulty performing instrumental activities of daily living. Total direct healthcare costs and utilization were ascertained during 36 months following Y7.ResultsMean of total annualized costs (2018 dollars) was $5,707 (standard deviation [SD] = 8,800) among robust, $8,964 (SD = 18,156) among pre-frail, and $20,027 (SD = 27,419) among frail men. Compared with robust men, frail men (cost ratio [CR] = 2.35; 95% confidence interval [CI] = 1.88-2.93) and pre-frail men (CR = 1.28; 95% CI = 1.11-1.48) incurred greater total costs after adjustment for demographics, multimorbidity, and cognitive function. Associations of phenotypic pre-frailty and frailty with higher total costs were somewhat attenuated but persisted after further consideration of functional limitations and a claims-based frailty indicator. Each individual frailty component was also associated with higher total costs. Frail vs robust men had higher odds of hospitalization (odds ratio [OR] = 2.62; 95% CI = 1.75-3.91) and skilled nursing facility (SNF) stay (OR = 3.36; 95% CI = 1.83-6.20). A smaller but significant effect of the pre-frail category on SNF stay was present.ConclusionPhenotypic pre-frailty and frailty were associated with higher subsequent total healthcare costs in older community-dwelling men after accounting for a claims-based frailty indicator, functional limitations, multimorbidity, cognitive impairment, and demographics. Assessment of the frailty phenotype or individual components such as slowness may improve identification of older community-dwelling adults at risk for costly extensive care.

Project description:ObjectivesTo determine the association of the frailty phenotype with subsequent healthcare costs and utilization.DesignProspective cohort study (Study of Osteoporotic Fractures (SOF)).SettingFour U.S. sites.ParticipantsCommunity-dwelling women (mean age 80.2) participating in SOF Year 10 (Y10) examination linked with their Medicare claims data (N=2,150).MeasurementsAt Y10, frailty phenotype defined using criteria similar to those used in the Cardiovascular Health Study frailty phenotype and categorized as robust, intermediate stage, or frail. Participant multimorbidity burden ascertained using claims data. Functional limitations assessed by asking about difficulty performing instrumental activities of daily living. Total direct healthcare costs and utilization ascertained during 12 months after Y10.ResultsMean total annualized cost±standard deviation (2014 dollars) was $3,781±6,920 for robust women, $6,632±12,452 for intermediate stage women, and $10,755 ± 16,589 for frail women. After adjustment for age, site, multimorbidity burden, and cognition, frail women had greater mean total (cost ratio (CR)=1.91, 95% confidence interval (CI)=1.59-2.31) and outpatient (CR=1.55, 95% CI=1.36-1.78) costs than robust women and greater odds of hospitalization (odds ratio (OR)=2.05, 95% CI=1.47-2.87) and a skilled nursing facility stay (OR=3.85, 95% CI=1.88-7.88). There were smaller but significant effects of the intermediate stage category on these outcomes. Individual frailty components (shrinking, poor energy, slowness, low physical activity) were also each associated with higher total costs. Functional limitations partially mediated the association between the frailty phenotype and total costs (CR further adjusted for self-reported limitations=1.32, 95% CI=1.07-1.63 for frail vs robust; CR=1.35, 95% CI=1.18-1.55 for intermediate stage vs robust women).ConclusionIntermediate stage and frail older community-dwelling women had higher subsequent total healthcare costs and utilization after accounting for multimorbidity and functional limitations. Frailty phenotype assessment may improve identification of older adults likely to require costly, extensive care.

Project description:BackgroundHIV disease itself is associated with increased healthcare utilization and healthcare expenditures. HIV-infected persons with lipodystrophy have been shown to have poor self-perceptions of health. We evaluated whether lipodystrophy in the HIV-infected population was associated with increased utilization of healthcare services and increased healthcare costs.ObjectiveTo examine utilization of healthcare services and associated costs with respect to presence of lipodystrophy among HIV-infected patients.MethodsHealthcare utilization and cost of healthcare services were collected from computerized accounting records for participants in a body image study among HIV-infected patients treated at a tertiary care medical center. Lipodystrophy was assessed by physical examination, and effects of lipodystrophy were assessed via body image surveys. Demographic and clinical characteristics were also ascertained. Analysis of healthcare utilization and cost outcomes was performed via between-group analyses. Multivariate modeling was used to determine predictors of healthcare utilization and associated costs.ResultsOf the 181 HIV-infected participants evaluated in the study, 92 (51%) had clinical evidence of HIV-associated lipodystrophy according to physician examination. Total healthcare utilization, as measured by the number of medical center visits over the study period, was notably increased among HIV-infected subjects with lipodystrophy as compared to HIV-infected subjects without lipodystrophy. Similarly, total healthcare expenditures over the study period were $1,718 more for HIV-infected subjects with lipodystrophy than for HIV-infected subjects without lipodystrophy. Multivariate modeling demonstrated strong associations between healthcare utilization and associated costs, and lipodystrophy score as assessed by a clinician. Healthcare utilization and associated costs were not related to body image survey scores among HIV-infected patients with lipodystrophy.ConclusionPatients with HIV-associated lipodystrophy demonstrate an increased utilization of healthcare services with associated increased healthcare costs as compared to HIV-infected patients without lipodystrophy. The economic and healthcare service burdens of HIV-associated lipodystrophy are significant and yet remain inadequately addressed by the medical community.

Project description:BackgroundTransportation costs can be a barrier to healthcare services, especially for low-income, disabled, elderly, and geographically isolated populations. This study aimed to estimate the transportation costs of healthcare service utilization and related influencing factors in Korea in 2016.MethodsTransportation costs were calculated using data from the 2016 Korea Health Panel Study. A total of 14,845 participants were included (males, 45.07%; females, 54.93%), among which 2,148 participants used inpatient and 14,787 used outpatient care services. Transportation costs were estimated by healthcare types, transportation modes, and all disease and injury groups that caused healthcare service utilization. The influencing factors of higher transportation costs were analyzed using multivariable regression analysis.ResultsIn 2016, the average transportation costs were United States dollars (USD) 43.70 (purchasing power parity [PPP], USD 32.35) per year and USD 27.67 (PPP, USD 20.48) per visit for inpatient care; for outpatient case, costs were USD 41.43 (PPP, USD 30.67) per year and USD 2.09 (PPP, USD 1.55) per visit. Among disease and injury groups, those with neoplasms incurred the highest transportation costs of USD 9.73 (PPP, USD 7.20). Both inpatient and outpatient annual transportation costs were higher among severely disabled individuals (inpatient, +USD 44.71; outpatient, +USD 23.73) and rural residents (inpatient, +USD 20.40; outpatient, +USD 28.66). Transportation costs per healthcare visit were influenced by healthcare coverage and residential area. Sex, age, and income were influencing factors of higher transportation costs for outpatient care.ConclusionTransportation cost burden was especially high among those with major non-communicable diseases (e.g., cancer) or living in rural areas, as well as elderly, severely disabled, and low-income populations. Thus, there is a need to address the socioeconomic disparities related to healthcare transportation costs in Korea by implementing targeted interventions in populations with restricted access to healthcare.

Dataset Information

Together Achieving More: Primary Care Team Communication and Alcohol-Related Healthcare Utilization and Costs.

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Together Achieving More: Primary Care Team Communication and Alcohol-Related Healthcare Utilization and Costs.

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