Thirty-day hospital readmission rate among adults living with HIV

Associations Between Early Physician Follow-up and Post-discharge Outcomes: A Systematic Review and Meta-analysis

BACKGROUND

Early physician follow-up after hospital discharge is commonly recommended, though whether it mitigates adverse events is unclear. We conducted a systematic review and meta-analysis to examine the association between physician follow-up within 30 days of hospital discharge and risk of hospital readmission, emergency department (ED) visits, or mortality in medical patients.

METHODS

MEDLINE, EMBASE, and CINAHL electronic databases were searched from inception to April 2023. Inclusion criteria were original studies that reported association(s) between outpatient physician visit within 30 days of hospital discharge and at least one outcome of interest (emergency department visit, readmission, or mortality) for adult medical patients. Two investigators independently completed screening, extracted data, and assessed study quality using an adapted Down's and Black tool. Meta-analyses were conducted for each outcome using random effects models.

RESULTS

Sixty-six studies were included in the review. Early physician follow-up was significantly associated with reduced odds of hospital readmission (pooled OR 0.69 [95% CI 0.58, 0.81], n=54) and mortality (pooled OR 0.71 [95% CI 0.55, 0.90], n=21) but not emergency department visits (pooled OR 0.77 [95% CI 0.59, 1.01], n=10). A majority of studies were at high risk of selection bias or residual confounding or both. When pooling only studies at low risk of bias in these domains or when only pooling randomized controlled trials, associations between early physician follow-up and 30-day readmission were not statistically significant (pooled OR 1.01 [95% CI 0.93, 1.09], n=11; and 1.07 [95% CI 0.85, 1.36], n=5; respectively).

DISCUSSION

While meta-analysis suggests that early physician follow-up may be associated with reduced readmissions and mortality, there is a need to interpret these results with caution given that a majority of included studies were observational in nature and were at high risk of bias. It therefore remains unclear whether early physician follow-up is effective in reducing post-discharge adverse events of readmission, emergency department visits, and mortality.

REGISTRATION

PROSPERO CRD42022334467.

Social needs and hospital readmission in persons living with HIV

Health-related social needs (HRSN) significantly influence healthcare utilization and outcomes. While prior studies have shown higher rates of hospital readmissions among individuals with HRSN, the impact of HRSN on hospital readmissions in persons living with HIV (PLWH) at population level, using ICD10 codes for HRSN in hospital discharge data, has not been fully explored. In this retrospective study using the 2016-2019 Florida and Maryland State Inpatient Database (SID), we examined the prevalence of HRSN among hospitalized PLWH using ICD-10 diagnosis codes including the domains of employment, family, housing, psychosocial, and education. In addition to descriptive analysis, we used multivariable logistic regression models to evaluate the association between hospital readmission and the presence of HRSN, controlling for potential confounders. In Florida, we identified 43,229 PLWH patients, of whom 9.6% (4,153) had HRSN. PLWH with HRSN had a significantly higher 90-day (40.6% vs. 23.1%) and one-year (73.6% vs. 41.3%) readmission rates compared with those without HRSN. Multivariable regression analysis showed that patients with HRSN had nearly three times the odds of 90-day readmission [adjusted odds ratio (aOR): 2.80 (95% confidence interval (CI): 2.61-3.01)] and four times the odds of one-year readmission [aOR: 3.93(95% CI: 3.62-4.27)]. In the Maryland SID, 12.5% (1,551) of the 12,396 PLWH had HRSN. PLWH with documented HRSN had a significantly higher 90-day (39.9% vs. 20.4%) and one-year (68.2% vs. 37.9%) readmission rates than those without HRSN. In multivariable regression analysis, HRSN were similarly associated with substantially higher odds of 90-day readmission [aOR: 2.70(95% CI: 2.38-3.05)] and one-year readmission [aOR: 3.60(95% CI: 3.15-4.12)]. In both states, there was a dose-response relationship between the number of HRSN and readmission rates. In conclusion, the prevalence of HRSN is associated with significantly higher rates of hospital readmissions among PLWH. Our findings highlight the importance of accounting for social factors when studying hospital readmissions and call for the development of interventions targeting HRSN to reduce readmissions in PLWH.

Navigating the dual role of physician and clinician investigator in end-of-life research

ABSTRACTThe challenges of recruiting participants for end-of-life (EOL) research are multifaceted. The Last Gift study at the University of California San Diego, an observational study for people with HIV (PWH) with terminal illness, appeals to the altruism of potential participants and community of allied health providers. Involvement of the latter group highlights a potential ethical conundrum of a "dual role", as primary care providers (PCPs) navigate between clinical responsibilities to their patients, along with opportunities to discuss clinical research. To explore this conundrum and better understand study recruitment dynamics of the Last Gift study, we analyzed screening and enrollment data for a 12-month period (2022-2023). We found that PCPs can play an important role in the recruitment of PWH into EOL research, as having PCPs discuss the study with potential participants yielded more successful enrollments than contact by the study team alone. Our manuscript proposes considerations to mitigate dual role conflicts, including ensuring ethical awareness, prioritizing clinical care and offering strategies to involve PCPs in recruitment without causing unnecessary burden or coercion. These insights aim to guide similar EOL research efforts, emphasizing the need for balanced, ethical recruitment processes in the sensitive context of terminal illness.

The Incidence, Prevalence and Mortality Rates of Black and White Persons with HIV in the United States in 2019

INTRODUCTION

This study examines the experience of non-Hispanic Black Americans (hereinafter referred to as Black persons) and non-Hispanic White Americans (hereinafter referred to as White persons) with regard to the incidence (i.e., number of persons diagnosed with HIV), prevalence (i.e., number of persons living with HIV), and mortality rates of persons with HIV in the United States in 2019. With regard to mortality rates, this study examines the mortality rate of all Black persons and White persons with HIV in 2019 as well as the mortality rate of hospitalized Black persons and White persons with HIV in 2019.

METHODS

Data on the racial characteristics of all persons in the United States in 2019 were obtained from the United States Census Bureau, and data on the racial characteristics of all persons with HIV in the United States were obtained from HIV Surveillance Reports produced by the Centers for Disease Control and Prevention (CDC). In addition, data on all hospital patients in seven states (California, Florida, Michigan, New Jersey, New York, South Carolina and Wisconsin) in 2019 were obtained from the Agency for Healthcare Research and Quality (AHRQ) Hospital Cost and Utilization Project (HCUP) State Inpatient Database (SID). These seven states included 44 percent of all persons living with HIV in the United States in 2019.

RESULTS

This study found that Black persons were more likely to be diagnosed with HIV, live with HIV, and die with HIV than White persons in the United States. This is illustrated by the fact that in 2019 Black persons comprised 13.4 percent of the population, yet they comprised 42.1 percent of persons diagnosed with HIV, 40.4 percent of persons living with HIV, and 42.9 percent of persons who died with HIV. By comparison, in 2019 White persons comprised 76.3 percent of the population, yet they comprised 24.8 percent of persons diagnosed with HIV, 29.1 percent of persons living with HIV, and 31.8 percent of persons who died with HIV. Nevertheless, this study did not find a statistically significant difference between the in-hospital mortality rates of Black and White persons in seven states in 2019.

CONCLUSIONS

The burden of HIV was considerably greater on Black persons than White persons in the United States in 2019.

Hospital readmissions among adults living with and without HIV in the US: findings from the Nationwide Readmissions Database

Background

Thirty-day hospital readmission measures quality of care, but there are limited data among people with HIV (PWH) and people without HIV (PWoH) in the era of universal recommendation for antiretroviral therapy. We descriptively compared 30-day all-cause, unplanned readmission risk between PWH and PWoH.

Methods

A retrospective cohort study was conducted using the 2019 Nationwide Readmissions Database (2019/01/01-2019/12/31), an all-payer database that represents all US hospitalizations. Index (initial) admissions and readmissions were determined using US Centers for Medicare & Medicaid Services definitions. Crude and age-adjusted risk ratios (aRR) comparing the 30-day all-cause, unplanned readmission risk between PWH to PWoH were estimated using random effect logistic regressions and predicted marginal estimates. Survey weights were applied to all analyses.

Findings

We included 24,338,782 index admissions from 18,240,176 individuals. The median age was 52(IQR = 40-60) years for PWH and 61(IQR = 38-74) years for PWoH. The readmission risk was 20.9% for PWH and 12.2% for PWoH (age-adjusted-RR:1.88 [95%CI = 1.84-1.92]). Stratified by age and sex, young female (age 18-29 and 30-39 years) PWH had a higher readmission risk than young female PWoH (aRR = 3.50 [95%CI = 3.11-3.88] and aRR = 4.00 [95%CI = 3.67-4.32], respectively). While the readmission risk increased with age among PWoH, the readmission risk was persistently high across all age groups among PWH. The readmission risk exceeded 30% for PWH admitted for hypertensive heart disease, heart failure, and chronic kidney disease.

Interpretation

PWH have a disproportionately higher risk of readmission than PWoH, which is concerning given the aging profile of PWH. More efforts are needed to address readmissions among PWH.

Funding

US National Institutes of Health.

Effects of a hospital discharge clinic among people with HIV: Lack of early follow-up is associated with 30-day hospital readmission and decreased retention in care

BACKGROUND

The transition between inpatient and outpatient care for hospitalized people with HIV represents an opportunity for linkage and re-engagement in care. We evaluated whether attendance at a post-hospitalization visit ('discharge clinic') within 1-2 weeks of discharge would reduce readmissions and improve retention in care (RIC) among people with HIV in San Diego, California, USA.

METHODS

This was a retrospective cohort study of people with HIV hospitalized between June 2020 and November 2021. Our primary outcome was 30-day readmissions among people with HIV who did or did not attend a discharge clinic visit. Secondary outcomes included the effect of discharge clinic attendance on RIC, along with the impact of attendance at any HIV clinic visit within 30 days of discharge on readmissions and RIC.

RESULTS

We evaluated 114 people with HIV, of whom 77 (67.5%) and 90 (78.9%) attended a discharge clinic visit or any HIV clinic visit within 30 days of discharge, respectively. Active substance use disorder (SUD) was associated with failing to attend a discharge clinic visit (odds ratio 0.31; 95% confidence interval 0.13-0.77). We observed no significant differences in readmissions between people with HIV who did or did not attend a discharge clinic visit; however, the former had significantly higher 6-month RIC (79.2% vs. 35.1%, p < 0.001). People with HIV attending any HIV clinic visit within 30 days of discharge had significantly fewer 30-day readmissions (8.9% vs. 29.2%, p = 0.02) and better 6-month RIC (75.6% vs. 25%, p < 0.001) than those who did not attend.

CONCLUSION

Early hospital follow-up care was associated with a reduction in readmissions among people with HIV. Active SUD was a significant barrier to linkage to outpatient follow-up and RIC.

Hospital Readmissions Among Persons With Human Immunodeficiency Virus in the United States and Canada, 2005-2018: A Collaboration of Cohort Studies

BACKGROUND

Hospital readmission trends for persons with human immunodeficiency virus (PWH) in North America in the context of policy changes, improved antiretroviral therapy (ART), and aging are not well-known. We examined readmissions during 2005-2018 among adult PWH in NA-ACCORD.

METHODS

Linear risk regression estimated calendar trends in 30-day readmissions, adjusted for demographics, CD4 count, AIDS history, virologic suppression (<400 copies/mL), and cohort.

RESULTS

We examined 20 189 hospitalizations among 8823 PWH (73% cisgender men, 38% White, 38% Black). PWH hospitalized in 2018 versus 2005 had higher median age (54 vs 44 years), CD4 count (469 vs 274 cells/μL), and virologic suppression (83% vs 49%). Unadjusted 30-day readmissions decreased from 20.1% (95% confidence interval [CI], 17.9%-22.3%) in 2005 to 16.3% (95% CI, 14.1%-18.5%) in 2018. Absolute annual trends were -0.34% (95% CI, -.48% to -.19%) in unadjusted and -0.19% (95% CI, -.35% to -.02%) in adjusted analyses. By index hospitalization reason, there were significant adjusted decreases only for cardiovascular and psychiatric hospitalizations. Readmission reason was most frequently in the same diagnostic category as the index hospitalization.

CONCLUSIONS

Readmissions decreased over 2005-2018 but remained higher than the general population's. Significant decreases after adjusting for CD4 count and virologic suppression suggest that factors alongside improved ART contributed to lower readmissions. Efforts are needed to further prevent readmissions in PWH.

Risk factors associated with 30-day hospital readmissions among persons living with HIV in Nantong, China

OBJECTIVE

To estimate 30-day hospital readmission rates among persons living with HIV (PLWH) at the Nantong Infectious Disease Hospital in China and analyse the related risk factors.

METHODS

A single-centre retrospective cohort study was conducted. There were 894 PLWH records obtained from the electronic medical record (EMR) system at the Nantong Infectious Disease Hospital in China, from October 2013 to February 2018. The 30-day readmission rates were calculated, and the risk factors were analysed by generalised estimating equations (GEEs).

RESULTS

A total of 1153 hospitalizations from 894 patients were recorded between October 2013 and February 2018. The median time of 30-day readmissions was 13 days (interquartile range (IQR), 6-23). The reasons for all causes, acquired immunodeficiency syndrome (AIDS)-defining illnesses (ADIs), and non-AIDS-defining infections (non-ADIs) were 9.08, 13.52, and 7.91%, respectively. The results from the GEE analysis demonstrated that the risk factors associated with 30-days readmissions were as follows: no antiretroviral therapy (ART) prior to hospitalisations (odds ratio (OR) = 1.90, 95% confidence interval (CI): 1.21-3.00), low CD4 counts (OR = 2.17, 95% CI: 1.33-3.54), and multiple comorbidities (OR = 6.45, 95% CI: 1.62-25.73).

CONCLUSION

Early detection of HIV infection and early initiation of ART treatment are the keys to controlling 30-day readmissions.

A Multicomponent Intervention to Reduce Readmissions Among People With HIV

BACKGROUND

Hospital readmissions are common, costly, and potentially preventable, including among people with HIV (PWH). We present the results of an evaluation of a multicomponent intervention aimed at reducing 30-day readmissions among PWH.

METHODS

Demographic, socioeconomic, and clinical variables were collected from the electronic health records of PWH or those with cellulitis (control group) hospitalized at an urban safety-net hospital before and after (from September 2012 to December 2016) the implementation of a multidisciplinary HIV transitional care team. After October 2014, hospitalized PWH could receive a medical HIV consultation ± a transitional care nurse intervention. The primary outcome was readmission to any hospital within 30 days of discharge. Multivariate logistic regression and propensity score analyses were conducted to compare readmissions before and after intervention implementation in PWH and people with cellulitis.

RESULTS

Overall, among PWH, 329 of the 2049 (16.1%) readmissions occurred before and 329 of the 2023 (16.3%) occurred after the transitional care team intervention. After including clinical and social predictors, the adjusted odds ratio of 30-day readmissions for postintervention for PWH was 0.81 (95% confidence interval: 0.66 to 0.99, P= 0.04), whereas little reduction was identified for those with cellulitis (adjusted odds ratio 0.91 (95% confidence interval: 0.81 to 1.02, P= 0.10). A dose-response effect was not observed for receipt of different HIV intervention components.

CONCLUSIONS

A multicomponent intervention reduced the adjusted risk of 30-day readmissions in PWH, although no dose-response effect was detected. Additional efforts are needed to reduce overall hospitalizations and readmissions among PWH including increasing HIV prevention, early diagnosis and engagement in care, and expanding the availability and spectrum of transitional care services.

Thirty-day readmission rates in a cohort of people living with HIV in southern Brazil, 2015 to 2017

BACKGROUND

The intense use of antiretroviral therapy (ART) has reduced morbidity and mortality of HIV infection. In Brazil, the specific contribution of diseases related to HIV infection leading to hospital admission and readmission is not well known.

AIMS

The study aimed to determine the clinico-epidemiological profile, 30-day readmission rate, and factors associated with this outcome in a cohort of adults with HIV infection in southern Brazil.

METHODS

Unicentric retrospective cohort, with data collection through the review of medical records and databases.

RESULTS

We analyzed 574 index hospitalizations and 451 individuals. Of these, 57.6% were men and the mean (±SD) age was 42.2 ± 12.3 years. Only 43.4% used ART regularly and low CD4 count and high frequency of detectable viral load were observed. HIV/AIDS-related diseases were identified in 55.2%, and tuberculosis was the most frequent etiology leading to index hospitalization. We found a 30-day readmission rate of 11.5% and hospitalization for HIV/AIDS-related illness was associated with a higher risk for the outcome.

CONCLUSIONS

These findings highlight the need to expand resources for prevention, early diagnosis, retention, and treatment of people living with HIV in the region to reduce HIV/AIDS-associated diseases and possibly minimize consequent hospital readmission of these individuals.

CD4+ cell count and outcomes among HIV-infected compared with uninfected medical ICU survivors in a national cohort

BACKGROUND

People with HIV (PWH) with access to antiretroviral therapy (ART) experience excess morbidity and mortality compared with uninfected patients, particularly those with persistent viremia and without CD4+ cell recovery. We compared outcomes for medical intensive care unit (MICU) survivors with unsuppressed (>500 copies/ml) and suppressed (≤500 copies/ml) HIV-1 RNA and HIV-uninfected survivors, adjusting for CD4+ cell count.

SETTING

We studied 4537 PWH [unsuppressed = 38%; suppressed = 62%; 72% Veterans Affairs-based (VA) and 10 531 (64% VA) uninfected Veterans who survived MICU admission after entering the Veterans Aging Cohort Study (VACS) between fiscal years 2001 and 2015.

METHODS

Primary outcomes were all-cause 30-day and 6-month readmission and mortality, adjusted for demographics, CD4+ cell category (≥350 (reference); 200-349; 50-199; <50), comorbidity and prior healthcare utilization using proportional hazards models. We also adjusted for severity of illness using discharge VACS Index (VI) 2.0 among VA-based survivors.

RESULTS

In adjusted models, CD4+ categories <350 cells/μl were associated with increased risk for both outcomes up to 6 months, and risk increased with lower CD4+ categories (e.g. 6-month mortality CD4+ 200-349 hazard ratio [HR] = 1.35 [1.12-1.63]; CD4+ <50 HR = 2.14 [1.72-2.66]); unsuppressed status was not associated with outcomes. After adjusting for VI in models stratified by HIV, VI quintiles were strongly associated with both outcomes at both time points.

CONCLUSION

PWH who survive MICU admissions are at increased risk for worse outcomes compared with uninfected, especially those without CD4+ cell recovery. Severity of illness at discharge is the strongest predictor for outcomes regardless of HIV status. Strategies including intensive case management for HIV-specific and general organ dysfunction may improve outcomes for MICU survivors.

Brief Report: Hospitalization Rates Among Persons With HIV Who Gained Medicaid or Private Insurance After the Affordable Care Act in 2014

BACKGROUND

It is unknown whether gaining inpatient health care coverage had an effect on hospitalization rates among persons with HIV (PWH) after implementation of the Affordable Care Act in 2014.

METHODS

Hospitalization data from 2015 were obtained for 1634 adults receiving longitudinal HIV care at 3 US HIV clinics within the HIV Research Network. All patients were engaged in care and previously uninsured and supported by the Ryan White HIV/AIDS Program in 2013. We evaluated whether PWH who transitioned to either Medicaid or private insurance in 2014 tended to have a change in hospitalization rate compared with PWH who remained uncovered and Ryan White HIV/AIDS Program supported. Analyses were performed by negative binomial regression with robust standard errors, adjusting for gender, race/ethnicity, age, HIV risk factor, CD4 count, viral load, clinic site, and 2013 hospitalization rate.

RESULTS

Among PWH without inpatient health care coverage in 2013, transitioning to Medicaid [adjusted incidence rate ratio 1.26, (0.71, 2.23)] or to private insurance [0.48 (0.18, 1.28)] in 2014 was not associated with 2015 hospitalization rates, after accounting for demographics, HIV characteristics, and prior hospitalization rates. The factors significantly associated with higher hospitalization rates include age 55-64, CD4 <200 cells/µL, viral load >400 copies/mL, and 2013 hospitalization rate.

CONCLUSIONS

Acquiring inpatient coverage was not associated with a change in hospitalization rates. These results provide some evidence to allay the concern that acquiring inpatient coverage would lead to increased inpatient utilization.

Hospitalization Rates and Outcomes Among Persons Living With Human Immunodeficiency Virus in the Southeastern United States, 1996-2016

BACKGROUND

Antiretroviral therapy (ART) advances, aging, and comorbidities impact hospitalizations in human immunodeficiency virus (HIV)-positive populations. We examined temporal trends and patient characteristics associated with hospitalization rates and outcomes.

METHODS

Among patients in the University of North Carolina Center for AIDS Research HIV Clinical Cohort receiving care during 1996-2016, we estimated annual hospitalization rates, time to inpatient mortality or live discharge, and 30-day readmission risk using bivariable Poisson, Fine-Gray, and log-binomial regression models.

RESULTS

The 4323 included patients (29% women, 60% African American) contributed 30 007 person-years. Overall, the hospitalization rate per 100 person-years was 34.3 (95% confidence interval [CI], 32.4-36.4) with a mean annual change of -3% (95% CI, -4% to -2%). Patients who were black (vs white), older, had HIV RNA >400 copies/mL, or had CD4 count <200 cells/μL had higher hospitalization rates (all P < .05). Thirty-day readmission risk was 18.9% (95% CI, 17.7%-20.2%), stable over time (P > .05 for both 2010-2016 and 2003-2009 vs 1996-2002), and higher among black patients, those with detectable HIV RNA, and those with lower CD4 cell counts (all P < .05). Higher inpatient mortality was associated with older age and lower CD4 cell count (both P < .05).

CONCLUSIONS

Hospitalization rates decreased from 1996 to 2016, but high readmissions persisted. Older patients, those of minority race/ethnicity, and those with uncontrolled HIV experienced higher rates and worse hospitalization outcomes. These findings underscore the importance of early ART and care engagement, particularly at hospital discharge.

Patient and Provider Perspectives on 30-Day Readmissions, Preventability, and Strategies for Improving Transitions of Care for Patients with HIV at a Safety Net Hospital

Thirty-day hospital readmissions, a key quality metric, are common among people living with HIV. We assessed perceived causes of 30-day readmissions, factors associated with preventability, and strategies to reduce preventable readmissions and improve continuity of care for HIV-positive individuals. Patient, provider, and staff perspectives toward 30-day readmissions were evaluated in semistructured interviews (n = 86) conducted in triads (HIV-positive patient, medical provider, and case manager) recruited from an inpatient safety net hospital. Iterative analysis included both deductive and inductive themes. Key findings include the following: (1) The 30-day metric should be adjusted for safety net institutions and patients with AIDS; (2) Participants disagreed about preventability, especially regarding patient-level factors; (3) Various stakeholders proposed readmission reduction strategies that spanned the inpatient to outpatient care continuum. Based on these diverse perspectives, we outline multiple interventions, from teach-back patient education to postdischarge home visits, which could substantially decrease hospital readmissions in this underserved population.

Higher Acuity Resource Utilization With Older Age and Poorer HIV Control in Adolescents and Young Adults in the HIV Research Network

BACKGROUND

Adolescents and young adults (AYA) with HIV experience poorer health outcomes compared with adults. To improve care for AYA with HIV, information about patterns of costly health care resource utilization is needed.

METHODS

Among 13-30 year olds in the US HIV Research Network, we stratified outpatient visits, emergency department (ED) visits, and inpatient days/person-year (PY) by HIV acquisition model [perinatal (PHIVY) and nonperinatal (NPHIVY)], age (13-17, 18-23, and 24-30 years), CD4 strata (<200, 200-499, and ≥500 cells/µL), and viral load (VL) suppression (<, ≥400 copies/mL [c/mL]) combined with antiretroviral (ARV) use.

RESULTS

Among 4540 AYA (PHIVY: 15%; NPHIVY: 85%), mean follow-up was 2.8 years. Among PHIVY, most person-time (PT) was spent between ages 13 and 23 years (13-17 years: 43%; 18-23 years: 45%), CD4 ≥500/µL (61%), and VL <400 c/mL (69%). Among NPHIVY, most PT was spent between ages 24 and 30 years (56%), with CD4 ≥500/µL (54%), and with VL <400 c/mL (67%). PT spent while prescribed ARVs and with VL ≥400 c/mL was 29% (PHIVY) and 24% (NPHIVY). For PHIVY and NPHIVY, outpatient visit rates were higher at younger ages (13-17 years and 18-23 years), lower CD4 (<200 and 200-499/µL), and among those prescribed ARVs. Rates of ED visits and inpatient days were higher during PT spent at older ages (18-23 years and 24-30 years), lower CD4 (<200 and 200-499/µL), and VL ≥400 c/mL. Utilization was higher among PHIVY than NPHIVY (outpatient: 12.1 vs. 6.0/PY; ED: 0.4 vs. 0.3/PY; inpatient: 1.5 vs. 0.8/PY).

CONCLUSIONS

More ED visits and inpatient days were observed during time spent at older ages, lower CD4 count, and VL ≥400 c/mL. Interventions to improve virologic suppression and immune response may improve outcomes, and thus decrease costly resource utilization, for AYA with HIV.

Risk of Readmission Among HIV Patients in Public Portuguese Hospitals: Longitudinal Multilevel Population-Based Study

Background: Thirty-day hospital readmission is receiving growing attention as an indicator of the quality of hospital care. Understanding factors associated with 30-day hospital readmission among HIV patients in Portugal is essential given the high burden cost of HIV hospitalizations in Portugal, a country suffering from financial constrains for almost 10 years. Objectives: We aimed to estimate the 30-day hospital readmission rates among HIV patients in Portugal and to identify its determinants using population-based data for Portuguese public hospitals. Study Design: A multilevel longitudinal population-based study. Methods: Between January 2009 and December 2014, a total of 37,134 registered discharges in the Portuguese National Health Service (NHS) facilities with HIV/AIDS as a main or secondary cause of admission were analyzed. Logistic regression was used to compare 30-day hospital readmission categories by computing odds ratio (OR) and corresponding 95% confidence intervals (95% CIs). A normal random effects model was used to determine unmeasured factors specific to each hospital. Results: A total of 4914 (13.2%, 95% CI: 12.9%-13.6%) hospitalizations had a subsequent 30-day readmission. Hospitalizations that included exit against medical opinion (OR = 1.18, 95% CI: 1.01-1.39), scheduled admissions (OR = 1.71, 95% CI: 1.58-1.85), and tuberculosis infection (OR = 1.20, 95% CI: 1.05-1.38) exhibited a higher risk of hospitalizations with subsequent 30-day readmission. In contrast, hospitalizations that included females (OR = 0.87, 95% CI: 0.81-0.94), a transfer to another facility (OR = 0.78, 95% CI: 0.67-0.91), and having a responsible financial institution (OR = 0.63, 95% CI: 0.55-0.72) exhibited a lower risk of hospitalizations with subsequent 30-day readmission. Hospitalizations associated with higher number of diagnosis, older ages, or hospitalizations during the economic crisis showed an increasing trend of 30-day readmission, whereas an opposite trend was observed for hospitalizations with higher number of procedures. Significant differences exist between hospital quality, adjusting for other factors. Conclusion: This study analyzes the indicators of 30-day hospital readmission among HIV patients in Portugal and provides useful information for enlightening policymakers and health care providers for developing health policies that can reduce costs associated with HIV hospitalizations.

HIV care cascade before and after hospitalization: impact of a multidisciplinary inpatient team in the US South

Hospitalization represents a unique opportunity to re-engage out-of-care individuals, improve HIV outcomes and reduce health disparities. Electronic health records of HIV-positive individuals hospitalized at an urban, public hospital between September 2013 and December 2015 were reviewed. In October 2014, a multidisciplinary HIV consult team (HIV specialist, case manager, and transitional care nurse (TCN)) was implemented. Engagement in care, retention in care and virologic suppression before and after hospitalization were compared between the pre- and post-intervention periods and by treatment received. Of 1056 inpatient admissions (pre-intervention = 571, post-intervention = 485), the majority were among males (69%) and racial/ethnic minorities (55% Black, 23% Hispanic). Each step of the HIV care cascade increased after hospitalization for both time periods (p < 0.01 for each comparison). Those who received the HIV consult (N = 131) or consult + TCN (N = 128) had greater increases in engagement in care (23.7% and 30.5% v. 11.1%, p = 0.04 and <0.01 respectively) and virologic suppression (28.3% and 29.7% v.7.1%, p <0.01 for both) than the no intervention (N = 225) subgroup. Hospitalized patients with HIV have low rates of engagement in care, retention in care and virologic suppression, though all three outcomes improved after hospitalization. A multidisciplinary transitions team improved care engagement and virologic suppression in those who received the intervention.

Clinical and Sociobehavioral Prediction Model of 30-Day Hospital Readmissions Among People With HIV and Substance Use Disorder: Beyond Electronic Health Record Data

BACKGROUND

Under the Affordable Care Act, hospitals receive reduced reimbursements for excessive 30-day readmissions. However, the Centers for Medicare and Medicaid Services does not consider social and behavioral variables in expected readmission rate calculations, which may unfairly penalize systems caring for socially disadvantaged patients, including patients with HIV.

SETTING

Randomized controlled trial of patient navigation with or without financial incentives in HIV-positive substance users recruited from the inpatient setting at 11 US hospitals.

METHODS

External validation of an existing 30-day readmission prediction model, using variables available in the electronic health record (EHR-only model), in a new multicenter cohort of HIV-positive substance users was assessed by C-statistic and Hosmer-Lemeshow testing. A second model evaluated sociobehavioral factors in improving the prediction model (EHR-plus model) using multivariable regression and C-statistic with cross-validation.

RESULTS

The mean age of the cohort was 44.1 years, and participants were predominantly males (67.4%), non-white (88.0%), and poor (62.8%, <$20,000/year). Overall, 17.5% individuals had a hospital readmission within 30 days of initial hospital discharge. The EHR-only model resulted in a C-statistic of 0.65 (95% confidence interval: 0.60 to 0.70). Inclusion of additional sociobehavioral variables, food insecurity and readiness for substance use treatment, in the EHR-plus model resulted in a C-statistic of 0.74 (0.71 after cross-validation, 95% confidence interval: 0.64 to 0.77).

CONCLUSIONS

Incorporation of detailed social and behavioral variables substantially improved the performance of a 30-day readmission prediction model for hospitalized HIV-positive substance users. Our findings highlight the importance of social determinants in readmission risk and the need to ask about, adjust for, and address them.

Impact of Patient-Provider Attachment on Hospital Readmissions Among People Living With HIV: A Population-Based Study

BACKGROUND

Hospital readmission 30 days after discharge is associated with adverse health outcomes, and people living with HIV (PLWH) experience elevated rates of hospital readmission. Although continuity of care with a health care provider is associated with lower rates of 30-day readmission among the general population, little is known about this relationship among PLWH. The objective of this study is to examine whether engaging with the same provider, defined as patient-provider attachment, is associated with 30-day readmission for this population.

SETTING

Data were derived from the Seek and Treat for Optimal Prevention of HIV in British Columbia cohort.

METHODS

Using generalized estimating equation with a logit link function, we examined the association between patient-provider attachment and 30-day hospital readmission. We determined whether readmission was due to all cause or to a similar cause as the index admission.

RESULTS

Seven thousand thirteen PLWH were hospitalized during the study period. Nine hundred twenty-one (13.1%) were readmitted to hospital for all cause and 564 (8.0%) for the similar cause as the index admission. Patient-provider attachment was negatively associated with 30-day readmission for all causes (adjusted odds ratio = 0.85, confidence interval = 0.83 to 0.86). A second multivariable model indicated that patient-provider attachment was also negatively associated with 30-day readmission for a similar cause (adjusted odds ratio = 0.86, confidence interval = 0.84 to 0.88).

CONCLUSIONS

Our results indicate that a higher proportion of patient-provider attachment was negatively associated with 30-day hospital readmission among PLWH. Our study findings support the adoption of interventions that seek to build patient-provider relationships to optimize outcomes for PLWH and enhance health care sustainability.

HIV and early hospital readmission: evaluation of a tertiary medical facility in Lilongwe, Malawi

BACKGROUND

Delivery of quality healthcare in resource-limited settings is an important, understudied public health priority. Thirty-day (early) hospital readmission is often avoidable and an important indicator of healthcare quality.

METHODS

We investigated the prevalence of all-cause early readmission and its associated factors using age and sex adjusted risk ratios (RR) and 95% confidence intervals (CI). A retrospective review of the medical ward database at Kamuzu Central Hospital in Lilongwe, Malawi was conducted between February and December 2013.

RESULTS

There were 3547 patients with an index admission of which 2776 (74.4%) survived and were eligible for readmission. Among these patients: 49.7% were male, mean age was 39.7 years, 36.1% were HIV-positive, 34.6% were HIV-negative, and 29.3% were HIV-unknown. The prevalence of early hospital readmission was 5.5%. Diagnoses associated with 30-day readmission were HIV-positive status (RR = 2.41; 95% CI: 1.64-3.53) and malaria (RR = 0.45; 95% CI: 0.22-0.91). Other factors associated with readmission were multiple diagnoses (excluding HIV) (RR = 1.52; 95% CI: 1.11-2.06), and prolonged length of stay (≥ 16 days) at the index hospitalization (RR = 3.63; 95% CI: 1.72-7.67).

CONCLUSION

Targeting HIV-infected inpatients with multiple diagnoses and longer index hospitalizations may prevent early readmission and improve quality of care.

Thirty-day Readmission Rates in an HIV-infected Cohort From Rio de Janeiro, Brazil

BACKGROUND

The 30-day readmission rate is an indicator of the quality of hospital care and transition to the outpatient setting. Recent studies suggest HIV infection might increase the risk of readmission although estimates of 30-day readmission rates are unavailable among HIV-infected individuals living in middle/low-income settings. Additionally, factors that may increase readmission risk in HIV-infected populations are poorly understood.

METHODS

Thirty-day readmission rates were estimated for HIV-infected adults from the Instituto Nacional de Infectologia Evandro Chagas/Fiocruz cohort in Rio de Janeiro, Brazil, from January 2007 to December 2013. Cox regression models were used to evaluate factors associated with the risk of 30-day readmission.

RESULTS

Between January 2007 and December 2013, 3991 patients were followed and 1861 hospitalizations were observed. The estimated 30-day readmission rate was 14% (95% confidence interval: 12.3 to 15.9). Attending a medical visit within 30 days after discharge (adjusted hazard ratio [aHR] = 0.73, P = 0.048) and being hospitalized in more recent calendar years (aHR = 0.89, P = 0.002) reduced the risk of 30-day readmission. In contrast, low CD4 counts (51-200 cells/mm³: aHR = 1.70, P = 0.024 and ≤ 50 cells/mm³: aHR = 2.05, P = 0.003), time since HIV infection diagnosis ≥10 years (aHR = 1.58, P = 0.058), and leaving hospital against medical advice (aHR = 2.67, P = 0.004) increased the risk of 30-day readmission.

CONCLUSIONS

Patients with advanced HIV/AIDS are most at risk of readmission and should be targeted with prevention strategies to reduce this risk. Efforts to reduce discharge against medical advice and to promote early postdischarge medical visit would likely reduce 30-day readmission rates in our population.

Hospitalization for Anxiety and Mood Disorders in HIV-Infected and -Uninfected Gay and Bisexual Men

BACKGROUND

Prevalence of anxiety and mood disorders (AMDs) in HIV-infected individuals has varied widely because of the variety of measurements used and differences in risk factor profiles between different populations. We aimed to examine the relationship between HIV status and hospitalization for AMDs in gay and bisexual men (GBM).

DESIGN AND METHODS

HIV-infected (n = 557) and HIV-uninfected (n = 1325) GBM recruited in Sydney, Australia were probabilistically linked to their hospital admissions and death notifications (2000-2012). Random-effects Poisson models were used to assess HIV risk factors for hospitalization. Cox regression methods were used to assess risk factors for mortality.

RESULTS

We observed 300 hospitalizations for AMDs in 15.3% of HIV-infected and 181 in 5.4% of HIV-uninfected participants. Being infected with HIV was associated with a 2.5-fold increase in risk of hospitalization for AMDs in GBM. Other risk factors in the HIV-infected cohort included previous hospitalization for HIV-related dementia, a more recent HIV diagnosis, and a CD4 T-cell count above 350 cells per cubic millimeter. Being hospitalized for an AMD was associated with a 5.5-fold increased risk of mortality; this association did not differ by HIV status. An association between substance use and mortality was observed in individuals hospitalized for AMDs.

CONCLUSIONS

There is a need to provide more effective strategies to identify and treat AMDs in HIV-infected GBM. This research highlights the importance of further examination of the effects of substance use, neurocognitive decline, and AMDs on the health of HIV-infected individuals.

Trends in hospital admissions, re-admissions, and in-hospital mortality among HIV-infected patients between 1993 and 2013: Impact of hepatitis C co-infection

BACKGROUND

New patterns in epidemiological characteristics of people living with HIV infection (PLWH) and the introduction of Highly Active Antiretroviral Therapy (HAART) have changed the profile of hospital admissions in this population. The aim of this study was to evaluate trends in hospital admissions, re-admissions, and mortality rates in HIV patients and to analyze the role of HCV co-infection.

METHODS

A retrospective cohort study conducted on all hospital admissions of HIV patients between 1993 and 2013. The study time was divided in two periods (1993-2002 and 2003-2013) to be compared by conducting a comparative cross-sectional analysis.

RESULTS

A total of 22,901 patient-years were included in the analysis, with 6917 hospital admissions, corresponding to 1937 subjects (75% male, mean age 36±11 years, 37% HIV/HCV co-infected patients). The median length of hospital stay was 8 days (5-16), and the 30-day hospital re-admission rate was 20.1%. A significant decrease in hospital admissions related with infectious and psychiatric diseases was observed in the last period (2003-2013), but there was an increase in those related with malignancies, cardiovascular, gastrointestinal, and chronic respiratory diseases. In-hospital mortality remained high (6.8% in the first period vs. 6.3% in the second one), with a progressive increase of non-AIDS-defining illness deaths (37.9% vs. 68.3%, P<.001). The admission rate significantly dropped after 1996 (4.9% yearly), but it was less pronounced in HCV co-infected patients (1.7% yearly).

CONCLUSIONS

Hospital admissions due to infectious and psychiatric disorders have decreased, with a significant increase in non-AIDS-defining malignancies, cardiovascular, and chronic respiratory diseases. In-hospital mortality is currently still high, but mainly because of non-AIDS-defining illnesses. HCV co-infection increased the hospital stay and re-admissions during the study period.

Readmissions in HIV-Infected Inpatients: A Large Cohort Analysis

OBJECTIVE

Hospital readmissions impose considerable physical and psychological hardships on patients and represent a high, but possibly preventable, cost for insurers and hospitals alike. The objective of this study was to identify patient characteristics associated with 30-day readmission among persons living with HIV/AIDS (PLWH) using a statewide administrative database and to characterize the movement of patients between facilities.

DESIGN

Retrospective cohort analysis of HIV-infected individuals in New York State using a comprehensive, all-payer database.

SETTING

All hospitals in New York State.

PARTICIPANTS

HIV-infected adults admitted to a medical service in 2012. PLWH identified using International Classification of Disease (ICD)-9 diagnosis codes 042 and V08.

RESULTS

Of 23,544 index hospitalizations, 21.8% (5121) resulted in readmission. Multivariable predictors of readmission included insurance status, housing instability, psychoses, multiple comorbid chronic conditions, substance use, and past inpatient and emergency department visits. Over 30% of readmissions occurred at a different facility than that of the initial hospitalization.

CONCLUSION

A number of patient characteristics were independently associated with hospital readmission within 30 days. Behavioral health disorders and comorbid conditions may be the strongest predictors of readmission in PLWH. Readmissions, especially those in urban areas, often result in fragmented care which may compromise the quality of care and result in harmful discontinuity of medical treatment.

Design and validation of a predictive model for 1-year hospital admission in HIV patients on antiretroviral treatment

Objectives

To develop and validate a model for predicting the risk of hospital admission within 1 year in the HIV population under antiretroviral treatment.

Methods

We conducted a retrospective observational study. Patients receiving antiretroviral treatment for at least 1 year who were followed by the pharmacy service in a Spanish-speaking hospital between January 2008 and December 2012 were included. Demographics, and clinical and pharmacotherapy variables, were included in the model design. To find prognostic factors for hospital admission a multivariate logistic regression model was created after performing a univariate analysis. Model validity was determined by the shrinkage method and the model discrimination by Harrell's C-index.

Results

442 patients were included in the study. The variables 'CD4 count <200 (cells/µL)', 'drug/alcohol use', 'detectable viral load (>50 copies/mL)', 'number of previous admissions', and 'number of drugs different from antiretroviral treatment' were the independent predictors of risk of hospital admission. Probabilities predicted by the model showed an R²=0.98 for the development sample and an R²=0.86 for the validation sample. The Harrell's C index for the development and validation data were 0.82 (95% CI 0.77 to 0.87) and 0.80 (95% CI 0.73 to 0.88), respectively.

Conclusions

The model developed in this study may be useful in daily practice for identifying HIV patients at high risk of 1-year hospital admission.

Half of 30-Day Hospital Readmissions Among HIV-Infected Patients Are Potentially Preventable

Thirty-day readmission rates, a widely utilized quality metric, are high among HIV-infected individuals. However, it is unknown how many 30-day readmissions are preventable, especially in HIV patients, who have been excluded from prior potentially preventable readmission analyses. We used electronic medical records to identify all readmissions within 30 days of discharge among HIV patients hospitalized at a large urban safety net hospital in 2011. Two independent reviewers assessed whether readmissions were potentially preventable using both published criteria and detailed chart review, how readmissions might have been prevented, and the phase of care deemed suboptimal (inpatient care, discharge planning, post-discharge). Of 1137 index admissions, 213 (19%) resulted in 30-day readmissions. These admissions occurred among 930 unique HIV patients, with 130 individuals (14%) experiencing 30-day readmissions. Of these 130, about half were determined to be potentially preventable using published criteria (53%) or implicit chart review (48%). Not taking antiretroviral therapy (ART) greatly increased the odds of a preventable readmission (OR 5.9, CI:2.4-14.8). Most of the preventable causes of readmission were attributed to suboptimal care during the index hospitalization. Half of 30-day readmission in HIV patients are potentially preventable. Increased focus on early ART initiation, adherence counseling, management of chronic conditions, and appropriate timing of discharge may help reduce readmissions in this vulnerable population.

Thirty-day hospital readmissions for adults with and without HIV infection

OBJECTIVES

Risk-adjusted 30-day hospital readmission rate is a commonly used benchmark for hospital quality of care and for Medicare reimbursement. Persons living with HIV (PLWH) may have high readmission rates. This study compared 30-day readmission rates by HIV status in a multi-state sample with planned subgroup comparisons by insurance and diagnostic categories.

METHODS

Data for all acute care, nonmilitary hospitalizations in nine states in 2011 were obtained from the Healthcare Costs and Utilization Project. The primary outcome was readmission for any cause within 30 days of hospital discharge. Factors associated with readmission were evaluated using multivariate logistic regression.

RESULTS

A total of 5 484 245 persons, including 33 556 (0.6%) PLWH, had a total of 6 441 695 index hospitalizations, including 45 382 (0.7%) among PLWH. Unadjusted readmission rates for hospitalizations of HIV-uninfected persons and PLWH were 11.2% [95% confidence interval (CI) 11.2, 11.2%] and 19.7% (95% CI 19.3, 20.0%), respectively. After adjustment for age, gender, race, insurance, and diagnostic category, HIV infection was associated with 1.50 (95% CI 1.46, 1.54) times higher odds of readmission. Predicted, adjusted readmission rates were higher for PLWH within every insurance category, including Medicaid [12.9% (95% CI 12.8, 13.0%) and 19.1% (95% CI 18.4, 19.7%) for HIV-uninfected persons and PLWH, respectively] and Medicare [13.2% (95% CI 13.1, 13.3%) and 18.0% (95% CI 17.4, 18.7%), respectively], and within every diagnostic category.

CONCLUSIONS

HIV infection is associated with significantly increased readmission risk independent of demographics, insurance, and diagnostic category. The 19.7% 30-day readmission rate may serve as a preliminary benchmark for assessing quality of care of PLWH. Policy-makers may consider adjusting for HIV infection when calculating a hospital's expected readmission rate.