Measures Of Health Care Utilization Research Articles

An Assessment of Healthcare Access and Utilization in the World Trade Center Health Program.

Access to healthcare, a national priority, may be better understood through medical surveillance programs like the World Trade Center Health Program (WTCHP). Measures of healthcare access and utilization for 1159 9/11 rescue and recovery workers ("responders") at the Rutgers Clinical Center of Excellence (CCE) were assessed using negative binomial modeling of the Benefits Eligibility Assessment Screening Tool and compared with 174 9/11 responders in the 2017 New York City Community Health Survey (NYCCHS) using z-testing. Approximately 10.8% of Rutgers CCE respondents lacked at least one aspect of healthcare access. Problems accessing healthcare and basic needs were positively associated with CCE utilization and differed between Rutgers CCE and NYCCHS respondents. Some 9/11 responders bridge healthcare access gaps via participation in the WTCHP. Surveillance survey tools may help to identify healthcare disparities.

An interRAI-derived frailty index is associated with prior hospitalisations in older adults residing in retirement villages.

To develop and validate a frailty index (FI) from interRAI-Community Health Assessments (CHA) on older adults in retirement villages (RVs). This is a cross-sectional analysis of a current RV research study. A FI was generated using the cumulative deficit model. Health-care utilisation measures were acute, and all, hospitalisations 12months before baseline assessment. Associations between FI and hospitalisations were explored using multivariable logistic regression to estimate odds ratio (OR). Of 577 included residents, mean (SD) age was 81 (7) and 419 (73%) were female. Mean (SD) FI was 0.16 (0.09); 260 (45%) were mildly frail, and 108 (19%) moderate-severely frail. In multivariate-adjusted analysis, odds of acute hospitalisation for mild (OR=3.3, P<.001) and moderate-severely frail (OR=6.4, P<.001) were significantly higher than fit residents. Higher odds were also observed for all hospitalisations. A considerable proportion of RV residents were moderately-severely frail. FI was associated with acute and all hospitalisations.

Predictors of Post-Operative Emergency Department Visits in Patients Undergoing Minimally Invasive Gynecology Procedures

Study Objective To identify pre-operative risk factors for emergency department (ED) utilization in the 18 months following minimally invasive gynecologic surgery. Design Retrospective cohort design. Setting University hospital health system. Patients or Participants All women, 18-45 years old, who had a minimally invasive gynecologic procedure in the University of Pittsburgh Medical Center (UPMC) system in 2016, and health claims data from 2015-2018. Interventions A minimally invasive gynecologic procedure in the UPMC system in 2016. Measurements and Main Results 1389 women underwent a minimally invasive gynecologic surgery in 2016. The baseline characteristics of patients included age (mean 34.2 years), race (84% Caucasian, 13% African American), type of surgery performed (45% hysterectomy withoutoophorectomy, 8% hysterectomy with oophorectomy, 47% non-hysterectomy laparoscopic gynecologic procedure) and ED visits in the year prior to the index year (21% patients). ED visits in the 18 months following surgery were used as a measure of healthcare utilization after surgery. A multivariate logistic regression analysis found significant associations between pre-operative patient characteristics and any ED visit in the 18 months following surgery for a diagnosis of pelvic pain aOR 1.57 (95% CI 1.20-2.05, p=0.001), African American race aOR 2.41 (95% CI 1.67-3.44, p Conclusion Pre-operative patient characteristics, including baseline ED visits and existing opioid prescription, can help predict post-operative healthcare utilization, in this case ED visits. A pre-operative diagnosis consistent with endometriosis was not predictive of post-operative health care utilization. Pre-operative assessment and post-operative follow up for high risk patients may be important ways to decrease post-operative ED utilization.

Development of a personalized follow-up care algorithm for Medicare breast cancer survivors.

204 Background: The rapidly growing number of cancer survivors in the US have substantial healthcare needs requiring surveillance and care for the late and long-term effects of cancer treatment and comorbidities. Lacking a clear system of care, experts recommend a personalized approach to survivorship care. The objective of this study was to test a clinical prediction algorithm to distinguish low-complexity breast cancer survivors who may be suited to self-manage their survivorship care and be followed by their primary care provider (PCP) from survivors who require specialty care. Methods: We used the Surveillance and Epidemiology End Results (SEER) registry – Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey data to identify women diagnosed with stage 0-3 breast cancer between 2003 and 2011. Cross-validated random forest machine learning models separately estimated survivors’ independent risk of all-cause death, cancer-specific death, recurrence, or severe late effects within 3 years following treatment completion. The absence of these outcomes identified survivors as potentially eligible for self-management and PCP care. Predictors included measures of baseline health status and health care utilization, patient socio-demographic characteristics, cancer characteristics, and financial burden. Results: Among the 4,516 survivors in the primary cohort, 82% were white, and the mean (SD) age was 75.1 (7.8) years. Almost 50% were diagnosed with Stage I breast cancer, followed by 25.2% with Stage 2, 19.3% with Stage 0, and 5.6% with Stage III. Within the 3-year follow-up period, 372 (8.2%) survivors died (111 or 2.5% from cancer), 665 (14.7%) experienced recurrence, and 488 (10.8%) were hospitalized due to severe late effects. Predicting all-cause death resulted in 91.9% out-of-sample accuracy, a 37.6% improvement over an uninformed model. Important predictors across outcomes included age, geographic region, diagnosis year, financial burden, comorbidities, and cancer stage. Conclusions: Survivors requiring specialty care are characterized by higher comorbidity, lower educational attainment, and advanced age, suggesting that, in addition to cancer characteristics, personalized care pathways developed in response to our findings must account for social and contextual factors as well.

Regional health care services and rates of lower extremity amputation related to diabetes and peripheral artery disease: an ecological study.

The care necessary to prevent amputation from diabetes and peripheral artery disease (PAD) remains disjointed in many jurisdictions. To help inform integrated regional care, this study explores the correlation between regional health care services and rates of lower extremity amputation. This ecological study included 14 administrative health regions in Ontario, Canada. All diabetes- or PAD-related major (above ankle) amputations (Apr. 1, 2007, to Mar. 31, 2017) were identified among residents 40 years of age and older. For each region, age-and sex-adjusted amputation rates were calculated as well as per capita counts of key health providers (podiatrists and chiropodists, as well as surgeons) and health care utilization among study patients in the year before the first major amputation (physician visits, publicly funded podiatry visits, emergency department visits, hospital admissions, home care nursing, minor amputation, limb revascularization). A total of 11 658 patients with major amputation were identified (of whom 79.2% had diabetes and 96.5% had PAD). There was wide regional variation in amputation rates: 2.53 to 11.77 per 100 000 person-quarters. At a regional level, the proportion of study patients who received revascularization showed the strongest negative correlation with amputation rates. The regional proportion of study patients who saw a vascular surgeon showed the strongest negative correlation with amputation rates, relative to other health provider visits. Other measures of health care utilization among patients correlated poorly with regional amputation rates, as did the regional provider counts. The results were similar when we restricted the analysis to diabetes-related amputations. Amputation rates related to diabetes and PAD vary widely across Ontario. Access to vascular assessment and revascularization must be integrated into regional amputation prevention efforts.

S0099 Calendar Year Readmission Rates Associated With Different Etiologies of Acute Pancreatitis and Its Impact on Outcomes

INTRODUCTION: We sought to determine the 11-month readmission rate (RR) for various etiologies of AP after an initial episode of AP; and compare the outcomes and healthcare resource utilization associated with each of them. METHODS: Retrospective cohort study using the 2016 National Readmission Database (NRD). Inclusion criteria were: principal diagnosis of AP and admission in January 2016. All readmissions to any hospital for a principal diagnosis of AP within 11 months of the index admission were recorded for each patient. Patients were divided into 5 groups based on etiology of AP and primary outcome was the 11-month RR of AP. Secondary outcomes were: number of readmissions per year in each group, index admission and calendar year mortality, treatment/management variations in each group and healthcare resource utilization. RESULTS: 22,472 patients hospitalized with AP in January 2016 were included. Common etiologies were biliary (16.7%), alcohol (24.1%), drug-induced (1.6%), other (54.5%) and idiopathic (3.2%). The mean age was 53 years and 41.6% were males. The 11-month RRs for biliary, alcoholic, drug-induced, other and idiopathic AP were 7.6%, 36.2%, 10.7%, 23% and 23.7%, respectively. Over 6% of patients with alcohol-induced AP and 9.3% of patients with drug-related AP had >5 readmissions in the 11-month follow-up period [Figure 1]. Index admission mortality was highest in biliary pancreatitis (1%), while the calendar year mortality was higher in patients with other etiologies of AP (1.8%). Rates of percutaneous drainage were highest in patients with biliary AP (4.9%); while patients with idiopathic pancreatitis underwent the highest number of necrosectomies (0.5%) and had the highest need for TPN (1.5%). Patients with alcohol-induced AP had the highest rates of feeding tube placement (0.6%). Healthcare resource utilization was the highest in readmitted patients with alcohol-induced and other etiologies of AP as compared to biliary, idiopathic and drug-induced AP. Total hospital days associated with alcohol-induced AP related readmissions were 16,012 days with total healthcare costs of $114 million, while total hospital days with other AP were 25,578 days and total healthcare costs of $178 million [Figure 2]. CONCLUSION: Our study provides national data on the calendar year RR of patients with AP across different etiologies, and the impact on outcomes related to readmission. The highest RR are associated with alcohol induced AP with a significant impact on healthcare resource utilization.Figure 1.: Clinical outcomes associated with various etiologies of acute pancreatitis.Figure 2.: Healthcare Utilization Measures.

Healthcare utilisation in overweight and obese children: a systematic review and meta-analysis

ObjectiveThis systematic review and meta-analysis aims to systematically analyse the association of overweight and obesity with health service utilisation during childhood.Data sourcesPubMed, MEDLINE, CINAHL, EMBASE and Web of Science.MethodsObservational studies...

Association of Billed Advance Care Planning with End-of-Life Care Intensity for 2017 Medicare Decedents.

The Centers for Medicare & Medicaid Services (CMS) reimburses clinicians for advance care planning (ACP) discussions with Medicare patients. The objective of the study was to examine the association of CMS-billed ACP visits with end-of-life (EOL) healthcare utilization. Patient-level analyses of claims for the random 20% Medicare fee-for-service (FFS) sample of decedents in 2017. To account for multiple comparisons, Bonferroni adjusted P value <.008 was considered statistically significant. Nationally representative sample of Medicare FFS beneficiaries. A total of 237,989 Medicare FFS beneficiaries who died in 2017 and included those with and without a billed ACP visit during 2016-17. The key exposure variable was receipt of first billed ACP (none, >1 month before death). Six measures of EOL healthcare utilization or intensity (inpatient admission, emergency department [ED] visit, intensive care unit [ICU] stay, and expenditures within 30 days of death, in-hospital death, and first hospice within 3 days of death). Analyses was adjusted for age, race, sex, Charlson Comorbidity Index, expenditure by Dartmouth hospital referral region (high, medium, or low), and dual eligibility. Overall, 6.3% (14,986) of the sample had at least one billed ACP visit. After multivariable adjustment, patients with an ACP visit experienced significantly less intensive EOL care on four of six measures: hospitalization (odds ratio [OR] = .77; 95% confidence interval [CI] = .74-.79), ED visit (OR = .77; 95% CI = .75-.80), or ICU stay (OR = .78; 95% CI = .74-.81) within a month of death; and they were less likely to die in the hospital (OR = .79; 95% CI = .76-.82). There were no differences in the rate of late hospice enrollment (OR = .97; 95% CI = .92-1.01; P = .119) or mean expenditures ($242.50; 95% CI = -$103.63 to $588.61; P = .169). Billed ACP visits were relatively uncommon among Medicare FFS decedents, but their occurrence was associated with less intensive EOL utilization. Further research on the variables affecting hospice use and expenditures in the EOL period is recommended to understand the relative role of ACP.

Changes in Insurance Coverage and Healthcare Use Among Immigrants and US-Born Adults Following the Affordable Care Act.

Immigrants to the USA have disparate access to health insurance coverage and healthcare services. We evaluate the effects of gaining insurance following the January 2014 Affordable Care Act's (ACA) key provisions implementation on health services use among foreign- (FB) and US-born (USB) adults. Longitudinal data from two panels (2013/2014 and 2014/2015) of the Medical Expenditure Panel Survey on FB and USB adults, ages 26-64 (unweighted n = 15,232), and difference-in-differences analysis using generalized estimating equations were used to estimate the effects of insurance gain. The primary outcomes were five measures of healthcare utilization including yearly routine care appointment, annual number of physician office visits, annual number of prescription medications filled or refilled, use of the emergency department (ED) during the year, and having an inpatient hospital stay during the year. Immigrants were more likely to gain health insurance between 2013 and 2015 relative to USB adults (6.3% vs. 4.4%) but remained much more likely to be continuously uninsured by 2015 (20.8% vs. 6.4%). Controlling for sociodemographic and health characteristics, FB and USB adults who gained insurance increased their use of health services, including routine care (absolute change ΔFB = 15.7%; p < 0.001 and ΔUSB = 11.7%; p < 0.001), office-based doctor visits (ΔFB = 1.3; p < 0.001 and ΔUSB = 0.6; p < 0.001), prescribed medications (ΔFB = 2.5; p < 0.001 and ΔUSB = 1.6; p = 0.016), and inpatient hospitalizations (ΔFB = 3.6%; p = 0.017 and ΔUSB = 3%; p < 0.001). ED use increased only among the FB (ΔFB = 4.8%; p < 0.001). Gaining insurance eliminated the differences in health services use for all considered outcomes among the FB relative to the continuously insured USB. US immigrants had notable gains in health insurance after the ACA provisions took full effect, but major disparities in coverage persist. If insurance continues to expand among immigrants, then the gains may reduce longstanding disparities in health services use and enhance primary and preventive healthcare.

Proactive Drug Monitoring Is Associated With Higher Persistence to Infliximab and Adalimumab Treatment and Lower Healthcare Utilization Compared With Reactive and Clinical Monitoring.

BackgroundSerum drug-level assays for infliximab (IFX) and adalimumab (ADA) are widely available and are most often obtained reactively, to determine the next steps in patients with loss of response. Studies done thus far on the use of these assays proactively, or during symptom remission, have had mixed results. Here we investigate persistence on therapy and healthcare utilization in patients on 3 drug-level monitoring strategies.MethodsWe conducted a retrospective chart review of 235 patients treated for both Crohn disease and ulcerative colitis on either IFX or ADA. Monitoring strategy was defined as proactive if patients underwent testing at predefined time points regardless of symptoms or signs of disease, reactive if done during relapse, or control if no drug levels were obtained. Groups were compared on persistence on original therapeutic at 1 and 2 years as well as on various measures of healthcare utilization during the 2-year follow-up period.ResultsProactive drug monitoring was associated with a higher likelihood of persistence on therapy at 1 year when compared with the control (odds ratio [OR] = 4.76, 95% confidence interval [CI] = 1.65, 13.67) and reactive groups (OR = 6.10, CI = 2.19, 17.02). Similarly, at 2 years, proactive monitoring was superior to the control (OR = 5.41, CI = 2.26, 12.94) and reactive groups (OR = 4.51, CI = 1.88, 10.80). Proactive monitoring was also associated with lower healthcare utilization across almost all measures related to inflammatory bowel disease.ConclusionsProactive drug monitoring increases persistence on IFX and ADA in patients with ulcerative colitis or Crohn disease and decreases overall healthcare utilization in these patients.

Eliciting Medical Maximizing-Minimizing Preferences with a Single Question: Development and Validation of the MM1.

The 10-item validated Medical Maximizer-Minimizer Scale (MMS-10) assesses patients' preferences for aggressive v. more passive approaches to health care. However, because many research or clinical situations do not allow for use of a 10-item scale, we developed a single-item maximizer-minimizer elicitation question (the MM1) based on our experiences describing the construct to patient groups, clinical researchers, and the public. In 2 large samples of US adults (N = 368 and N = 814), the correlation between MMS-10 scores and the MM1 was .52 and .60, respectively. Both measures were robust predictors of medical preferences in a set of 12 hypothetical scenarios, and both had strong (and roughly equivalent) associations with 7 self-report measures of health care utilization. Our results demonstrate that the MM1 is a valid, brief elicitation of maximizing-minimizing preferences that can be used in clinical or research contexts where the 10-item scale is infeasible.

Population-Based Estimates of Health Care Utilization and Expenditures by Adults During the Last 2 Years of Life in Canada’s Single-Payer Health System

Measuring health care utilization and costs before death has the potential to initiate health care improvement. To examine population-level trends in health care utilization and expenditures in the 2 years before death in Canada's single-payer health system. This population-based cohort included 966 436 deaths among adult residents of Ontario, Canada, from January 2005 to December 2015, linked to health administrative and census data. Data for deaths from 2005 to 2013 were analyzed from November 1, 2016, through January 31, 2017. Analyses were updated from May 1, 2019, to June 15, 2019, to include deaths from 2014 and 2015. Sociodemographic exposures included age, sex, and neighborhood income quintiles, which were obtained by linking decedents' postal codes to census data. Aggregated Diagnosis Groups were used as a general health service morbidity-resource measure. Health care services accessed for the last 2 years of life, including acute hospitalization episodes of care, intensive care unit visits, and emergency department visits. Total health care costs were calculated using a person-centered costing approach. The association of area-level income with high resource use 1 year before death was analyzed with Poisson regression analysis, controlling for age, sex, and Aggregated Diagnosis Groups. Among 966 436 decedents (483 038 [50.0%] men; mean [SD] age, 76.4 [14.96] years; 231 634 [24.0%] living in the lowest neighborhood income quintile), health care expenditures increased in the last 2 years of life during the study period (CAD$5.12 billion [US $3.83 billion] in 2005 vs CAD$7.84 billion [US $5.86 billion] in 2015). In the year before death, 758 770 decedents (78.5%) had at least 1 hospitalization episode of care, 266 987 (27.6%) had at least 1 intensive care unit admission, and 856 026 (88.6%) had at least 1 emergency department visit. Overall, deaths in hospital decreased from 37 984 (45.6%) in 2005 to 39 474 (41.5%) in 2015. Utilization in the last 2 years, 1 year, 180 days, and 30 days of life varied by resource utilization gradients. For example, the proportion of individuals visiting the emergency department was slightly higher among the top 5% of health care users compared with other utilization groups in the last 2 years of life (top 5%, 45 535 [94.2%]; top 6%-50%, 401 022 [92.2%]; bottom 50%, 409 469 [84.7%]) and 1 year of life (top 5%, 43 007 [89.0%]; top 6%-50%, 381 732 [87.8%]; bottom 50%, 380 859 [78.8%]); however, in the last 30 days of life, more than half of individuals in the top 6% to top 50% (223 262 [51.3%]) and bottom 50% (288 480 [59.7%]) visited an emergency department, compared with approximately one-third of individuals in the top 5% (16 916 [35.0%]). No meaningful associations were observed in high resource use between individuals in the highest income quintile compared with the lowest income quintile (rate ratio, 1.02; 95% CI, 0.99-1.05) after adjusting for relevant covariates. In this study, health care use and spending in the last 2 years of life in Ontario were high. These findings highlight a trend in hospital-centered care before death in a single-payer health system.

A randomized controlled trial of a nurse-led education pathway for asthmatic children from outpatient to home.

Education for asthmatic children in the outpatient department is insufficient. To evaluate the efficacy of a nurse-led education pathway, a standard education programme, on children with asthma. One hundred and eighty participants enrolled and were randomly assigned to either the control group or the intervention group. The intervention group received predetermined step-by-step education sessions based on the self-designed education pathway, while the control group received usual care. Asthma control, health-related quality of life, and health-care utilization measures were taken at baseline and at follow-up visits between February 2016 and May 2018. Significantly higher scores for health-related quality of life and inhaler technique at the third-month visit and asthma control test at the sixth-month visit were seen in the intervention group. The numbers of unscheduled physician visits and school absences were lower in the intervention group than in the control group within 6 months. However, no significant differences were observed in emergency department visits and hospitalizations. The nurse-led education pathway could be considered effective for children with asthma visiting the outpatient department.

Postoperative Healthcare Utilization of Elderly Adults After Cochlear Implantation.

To determine the association between geriatric age and postoperative healthcare utilization after cochlear implantation. Retrospective chart review. Tertiary referral center. Older adults (>59 yr) who underwent unilateral cochlear implantation from 2009 until 2016. Standard electrode length cochlear implantation. Postoperative surgical and audiological visit rate after cochlear implantation for those aged 60 to 69, 70 to 79, and 80+ years. Fifty-nine older adult patients were included in the study with a mean age of 71.5 ± 6.9 years (range, 60-88 yr), mean duration of hearing loss of 25.4 ± 19.6 years (range, 0.25-67 yr), and mean length of follow up of 37 ± 24.6 months (range, 6-107 mo). There was no significant difference in the mean number of surgical and audiological visits over both the first and second postoperative years between those aged 60 to 69, 70 to 79, and 80+ years. Additionally, on one-way multivariate analysis of covariance (MANCOVA), there was no significant difference in cumulative postoperative healthcare utilization measures between each age group, when controlling for postoperative AzBio scores, estimated household income, and driving distance to the hospital. Older geriatric adults do not have higher rates of postoperative healthcare utilization after cochlear implantation than their younger, geriatric hearing impaired counterparts, despite presumed higher rates of frailty and comorbidity.

Wealth Status, Health Insurance, and Maternal Health Care Utilization in Africa: Evidence from Gabon.

Background To achieve the universal health coverage among other Sustainable Development Goals, African countries have shown the commitment by implementing strategies to improve access and coverage of health care services whose access is still very low. The achievement of universal health care requires the provision and availability of an adequate financing system. This study explored the wealth-related association of compulsory health insurance on maternal health care utilization in Gabon. Methods The study used the 6th round of Gabon Demographic and Health Surveys (GDHSs)—2012 data to explore three outcome measures of maternal health care utilization extracted on number of antenatal care (ANC) visits during pregnancy, place of birth delivery, and postnatal health care. The dependent variable was women with health insurance coverage against those without. Logistic regression and propensity scoring matching analysed associations of health insurance coverage on women's utilization of health care. Results Mean (+/− SD) age of women respondents of reproductive age was 29 years (9.9). The proportion of at least 4 antenatal care visits was 69.2%, facility-based delivery was 84.7%, and postnatal care utilization was 67.9%. The analysis of data showed disparities in maternal health care services utilization. The GDHS showed maternal age, and geographical region was significantly associated with maternal health care service utilization. A high proportion of urban dwellers and Christian women used maternal health care services. According to the wealth index, maternal health services utilization was higher in women from wealthy households compared to lower households wealth index (ANC (Conc. Index = 0.117; p ≤ 0.001), facility-based delivery (Conc. Index = 0.069; p ≤ 0.001), and postnatal care (Conc. Index = 0.075; p ≤ 0.001), respectively). With regard to health care insurance coverage, women with health insurance were more likely to use ANC and facility-based delivery services than those without (concentration indices for ANC and facility-based delivery were statistically significant; ANC: z-stat = 2.69; p=0.007; Conc. Index: 0.125 vs. 0.096 and facility-based delivery: z-stat = 3.38; p=0.001; Conc. Index: 0.076 vs. 0.053, respectively). Conclusion Women enrollment in health insurance and improved household's financial status can improve key maternal health services utilization.

Navigation Services to Avoid Rehospitalization among Medical/Surgical Patients with Comorbid Substance Use Disorder: Rationale and Design of a Randomized Controlled Trial.

Substance use disorders (SUDs) are associated with significant morbidity and mortality and contribute to inefficient use of healthcare services. Hospitalized medical/surgical patients with comorbid SUD are at elevated risk of hospital readmission and poor outcomes. Thus, effective interventions are needed to help such patients during hospitalization and post-discharge. This article reports the rationale, methodological design, and progress to date on a randomized trial comparing the effectiveness of Navigation Services to Avoid Rehospitalization (NavSTAR) vs Treatmentas-Usual (TAU) for hospital medical/surgical patients with comorbid SUD (N = 400). Applying Andersen’s theoretical model of health service utilization, NavSTAR employed Patient Navigation and motivational interventions to promote entry into SUD treatment, facilitate adherence to recommendations for medical follow-up and self-care, address basic needs, and prevent the recurrent use of hospital services. As part of the NavSTAR service model, Patient Navigators embedded within the SUD consultation service at a large urban hospital delivered patient-centered, proactive navigation and motivational services initiated during the hospital stay and continued for up to 3 months post-discharge. Participants randomized to TAU received usual care from the hospital and the SUD consultation service, which included referral to SUD treatment but no continued contact post-hospital discharge. Hospital service utilization will be determined via review of electronic health records and the regional Health Information Exchange. Participants were assessed at baseline and again at 3-, 6-, and 12-month follow-up on various measures of healthcare utilization, substance use, and functioning. The primary outcome of interest is time-to-rehospitalization through 12 months. In addition, a range of secondary outcomes spanning the medical and SUD service areas will be assessed. The study will include a health economic evaluation of NavSTAR. If NavSTAR proves to be effective and cost-effective in this high-risk patient group, it would have important implications for addressing the needs of hospital patients with comorbid SUD, designing hospital discharge planning services, informing cost containment initiatives, and improving public health.

Health Care Utilization Inequality in a Mixed Public-Private Health Care System: An Insight from the National Survey in Iran

Background: Equitable health care utilization is a pillar of the Universal Health Coverage (UHC) and is also a concern to policymakers. Measuring and quantifying the inequalities are essential in assessing the progress toward achieving the UHC goals. Several studies have focused on overall measures of unfair inequality in health care utilization. The overall approaches to outpatient and inpatient services are not representative of the differences in health care usage in public and private sectors in a mixed healthcare system, like Iran. A few studies have assessed inequality measures for general practitioners (GPs), specialists (SPs), and hospital admission services in different sectors, separately. Objectives: This study aimed at measuring health care utilization inequalities in outpatient and inpatient health services in public and private sectors in Iran. Methods: In this study, national representative data derived from the utilization of health services survey (UHSS) in 2014 was used. The concentration curve (CC) and concentration index (CI) were applied to assess inequalities in health care utilization services, including the number of GP visits, SP visits, and admission in hospitals. We used ADePT software to produce a nonlinear estimation of CI for these count variables. The indirect standardization method was used to standardize the services for differences in needs by age and gender. The inequality in health care utilization was examined in both public and private sectors, separately. Results: Based on the results, public and private outpatient settings, except for the private GP visits, followed a pro-poor pattern. Inpatient admission in the public sector had a pro-poor model, but it showed a pro-rich pattern in the private sector. GP visits in the private sector changed in favor of the poorer people and SP visits in the public sector changed toward a pro-rich pattern after standardization for differences in needs. CI for family physician (FP) and GP visits in public and private sectors, and also SP visits in public and private sectors was -0.089, -0.086, -0.010, 0.025, and -0.018, respectively. CI for the inpatient admission in public and private sectors was -0.126 and 0.157, respectively. GP, SP and hospital services utilization showed a pro-poor pattern. Conclusions: The results of this study showed that most of the health care utilization followed a pro-poor model in the mixed health care system in Iran. SP visits in the public sector changed toward a pro-rich pattern after standardization for differences in needs. Although public outpatient services need more attention to maintain their pro-poor distribution, SP visits in the public sector should be more considered to follow a pro-poor pattern. Health policymakers are recommended to take measures to eliminate barriers to access this service. This may lead to reduce a gap between the poor and rich people in the utilization of the health care and moving toward the UHC.

Defining \u2018actionable\u2019 high- costhealth care use: results using the Canadian Institute for Health Information population grouping methodology

BackgroundA small proportion of the population consumes the majority of health care resources. High-cost health care users are a heterogeneous group. We aim to segment a provincial population into relevant homogenous sub-groups to provide actionable information on risk factors associated with high-cost health care use within sub-populations.MethodsThe Canadian Institute for Health Information (CIHI) Population Grouping methodology was used to define mutually exclusive and clinically relevant health profile sub-groups. High-cost users (> = 90th percentile of health care spending) were defined within each sub-group. Univariate analyses explored demographic, socio-economic status, health status and health care utilization variables associated with high-cost use. Multivariable logistic regression models were constructed for the costliest health profile groups.ResultsFrom 2015 to 2017, 1,175,147 individuals were identified for study. High-cost users consumed 41% of total health care resources. Average annual health care spending for individuals not high-cost were $642; high-cost users were $16,316. The costliest health profile groups were ‘long-term care’, ‘palliative’, ‘major acute’, ‘major chronic’, ‘major cancer’, ‘major newborn’, ‘major mental health’ and ‘moderate chronic’. Both ‘major acute’ and ‘major cancer’ health profile groups were largely explained by measures of health care utilization and multi-morbidity. In the remaining costliest health profile groups modelled, ‘major chronic’, ‘moderate chronic’, ‘major newborn’ and ‘other mental health’, a measure of socio-economic status, low neighbourhood income, was statistically significantly associated with high-cost use.InterpretationModel results point to specific, actionable information within clinically meaningful subgroups to reduce high-cost health care use. Health equity, specifically low socio-economic status, was statistically significantly associated with high-cost use in the majority of health profile sub-groups. Population segmentation methods, and more specifically, the CIHI Population Grouping Methodology, provide specificity to high-cost health care use; informing interventions aimed at reducing health care costs and improving population health.

Socioeconomic inequalities in maternal health care utilization in Ghana

BackgroundImproving maternal and child health remains a public health priority in Ghana. Despite efforts made towards universal coverage, there are still challenges with access to and utilization of maternal health care. This study examined socioeconomic inequalities in maternal health care utilization related to pregnancy and identified factors that account for these inequalities.MethodsWe used data from three rounds of the Ghana Demographic and Health Surveys (2003, 2008 and 2014). Two health care utilization measures were used; (i) four or more antenatal care (ANC) visits and (ii) delivery by trained attendants (DTA). We first constructed the concentration curve (CC) and estimated concentration indices (CI) to examine the trend in inequality. Secondly, the CI was decomposed to estimate the contribution of various factors to inequality in these outcomes.ResultsThe CCs show that utilization of at least four ANC visits and DTA were concentrated among women from wealthier households. However, the trends show the levels of inequality decreased in 2014. The CI of at least four ANC visits was 0.30 in 2003 and 0.18 in 2014. Similarly, the CIs for DTA was 0.60 in 2003 and 0.42 in 2014. The decomposition results show that access to National Health Insurance Scheme (NHIS) and women’s education levels were the most important contributors to the reduction in inequality in maternal health care utilization.ConclusionsThe findings highlight the importance of the NHIS and formal education in bridging the socioeconomic gap in maternal health care utilization.

Associations Between Engagement With an Online Health Community and Changes in Patient Activation and Health Care Utilization: Longitudinal Web-Based Survey.

BackgroundParticipation in online health communities (OHCs) is a popular trend in the United Kingdom. However, so far, no evidence exists to indicate an association between participation in OHCs and improved health outcomes.ObjectiveThis study aimed to (1) determine changes in patient activation over 3 months in new users of an OHC, (2) describe patterns of engagement with an OHC, (3) examine whether patients’ characteristics at baseline were associated with subsequent patterns of engagement, and (4) determine if patterns of engagement during the 3 months were associated with changes in patient activation, health care utilization, and health status.MethodsActive new OHC users on HealthUnlocked (HU) were surveyed to measure demographics, levels of patient activation (describing a person’s confidence in managing their own health; scale 0-100 with 4 categories), health care utilization, and health status using a Web-based survey at baseline and 3 months. Patient activation at baseline and 3 months was compared (aim 1). Alongside, for a sample of HU users and survey responders, daily OHC website usage data were automatically captured. This was used to identify clusters of engagement with HU (aim 2). For survey responders, baseline characteristics, patient activation, health care utilization, and health status were compared at baseline and 3 months, overall, and between engagement clusters using t tests and chi-square tests (aims 3 and 4).ResultsIn 329 people who completed both surveys, baseline activation was most frequently level 3, described as taking action but still lacking confidence. At follow-up, a change of 2.6 points was seen, with the greatest change seen in those at lowest baseline activation levels. In addition, 4 clusters of engagement were identified: low, medium, high, and very high, who were active on HU for a mean of 4, 12, 29, and 59 days, respectively. Survey responders were more commonly high or very high engagers. Baseline activation was highest in low and very high engagers. Overall activation increased over time in all engagement groups. Very high engagers had the greatest improvement in activation (5 points), although the average change was not above what is considered clinically meaningful for any group. Fewer accident and emergency visits were seen at follow-up in those with higher engagement, although this trend was not seen for other health care utilization measures. There was no change in health status at 3 months.ConclusionsThis observational study provides some insight into how patterns of engagement with OHCs are associated with changes in patient activation, health care utilization, and health status. Over 3 months, overall, the change in activation was not clinically significant, and there were some indications that OHCs may be of benefit to particular groups. However, the study limitations prevent firm conclusions about causal relationships.