Health Care Utilization Behaviors Predict Disengagement From HIV Care: A Latent Class Analysis

Process Evaluation of Services for HIV-Infected Post-Partum Women and HIV-Exposed Infants in Primary Health Care Blantyre Malawi

HIV testing among HIV-exposed infants (HEI) in Malawi is below global targets and, affected by low utilisation of health services after birth. We conducted a mixed methods evaluation of the implementation of services for early infant diagnosis (EID) of HIV against national guidelines in Blantyre, Malawi, to inform the development of strategies to improve EID services uptake. We estimated coverage of HEI enrolment in HIV care and HIV testing at 6 weeks through a retrospective data review. We qualitatively explored implementation gaps in EID services through process mapping of 8 mother-infant pairs (MIP); and investigated healthcare workers' (HCW) perspectives on the implementation gaps through group interviews with 16 HCWs. We analysed the quantitative data descriptively and conducted a thematic content analysis of qualitative data. Of 163 HEIs born at the study sites, 39 (24%) were enrolled in an HIV care clinic before post-natal discharge, and 85 (52%) received HIV testing by 6 weeks. The median time for MIP to receive EID services was 4 (1-8) hours. The implementation gaps observed during process mapping included: failure to identify and enrol HEI in HIV care clinic; lack of immunisation, counselling for HEI testing, HIV testing, drug refilling, and family planning; and different appointment dates for mother and infant. HCWs reported delays and gaps influencing optimal service provision including: lack of screening to identify MIP, limited supervision for student HCWs when providing services, inadequate capacity of point of care machines, challenges with integrating services, and role confusion. Use of unique identifiers for MIP and establishing a booking system to schedule appointments to suit point of care machine capacity were primary service improvement recommendations. This study identified suboptimal EID services in Malawi due to process, capacity, and system factors. Context-appropriate interventions accommodating systems thinking are needed to enhance service provision.

Variation in Outpatient Postpartum Care Use in the United States: A Latent Class Analysis

INTRODUCTION

Despite efforts to improve postpartum health care in the United States, little is known about patterns of postpartum care beyond routine postpartum visit attendance. This study aimed to describe variation in outpatient postpartum care patterns.

METHODS

In this longitudinal cohort study of national commercial claims data, we used latent class analysis to identify subgroups of patients (classes) with similar outpatient postpartum care patterns (defined by the number of preventive, problem, and emergency department outpatient visits in the 60 days after birth). We also compared classes in terms of maternal sociodemographics and clinical characteristics measured at childbirth, as well as total health spending and rates of adverse events (all-cause hospitalizations and severe maternal morbidity) measured from childbirth to the late postpartum period (61-365 days after birth).

RESULTS

The study cohort included 250,048 patients hospitalized for childbirth in 2016. We identified six classes with distinct outpatient postpartum care patterns in the 60 days after birth, which we classified into three broad groups: no care (class 1 [32.4% of the total sample]); preventive care only (class 2 [18.3%]); and problem care (classes 3-6 [49.3%]). The prevalence of clinical risk factors at childbirth increased progressively from class 1 to class 6; for example, 6.7% of class 1 patients had any chronic disease compared with 15.5% of class 5 patients. Severe maternal morbidity was highest among the high problem care classes (classes 5 and 6): 1.5% of class 6 patients experienced severe maternal morbidity in the postpartum period and 0.5% in the late postpartum period, compared with less than 0.1% of patients in classes 1 and 2.

CONCLUSIONS

Efforts to redesign and measure postpartum care should reflect the current heterogeneity in care patterns and clinical risks in the postpartum population.

Association of Neighborhood Deprivation With Healthcare Utilization Among Persons With Human Immunodeficiency Virus: A Latent Class Analysis

Background

We previously identified 3 latent classes of healthcare utilization among people with human immunodeficiency virus (PWH): adherent, nonadherent, and sick. Although membership in the "nonadherent" group was associated with subsequent disengagement from human immunodeficiency virus (HIV) care, socioeconomic predictors of class membership remain unexplored.

Methods

We validated our healthcare utilization-based latent class model of PWH receiving care at Duke University (Durham, North Carolina) using patient-level data from 2015 to 2018. SDI scores were assigned to cohort members based on residential addresses. Associations of patient-level covariates with class membership were estimated using multivariable logistic regression and movement between classes was estimated using latent transition analysis.

Results

A total of 1443 unique patients (median age of 50 years, 28% female sex at birth, 57% Black) were included in the analysis. PWH in the most disadvantaged (highest) SDI decile were more likely to be in the "nonadherent" class than the remainder of the cohort (odds ratio [OR], 1.58 [95% confidence interval {CI}, .95-2.63]) and were significantly more likely to be in the "sick" class (OR, 2.65 [95% CI, 2.13-3.30]). PWH in the highest SDI decile were also more likely to transition into and less likely to transition out of the "sick" class.

Conclusions

PWH who resided in neighborhoods with high levels of social deprivation were more likely to have latent class membership in suboptimal healthcare utilization groupings, and membership persisted over time. Risk stratification models based on healthcare utilization may be useful tools in the early identification of persons at risk for suboptimal HIV care engagement.

Relationship between Housing Characteristics and Care Outcomes among Women Living with HIV: Latent Class Analysis

Housing plays a critical role in the care outcomes of individuals living with a HIV, yet few studies have examined the unique housing profiles of women living with HIV (WLH), especially among those belonging to low-income racial/ethnic minority groups. In this study, authors conducted a latent class analysis to generate latent profiles of women (N = 1,501) according to their housing status and household characteristics and assessed associations between classes and sociodemographic and behavioral characteristics and between classes and three HIV care outcomes: retention in care, viral suppression, and sustained viral suppression. A three-class model was selected using five dichotomized housing indicators: housing status, head of household status, living with minors, living with another adult, and disclosure of HIV status to adults with whom they live. While class 1 and class 2 had comparable HIV care outcomes, women in class 3-who were predominately unstably housed, living alone, and did not disclose their HIV status with those with whom they lived-had significantly lower crude odds of successful care outcomes. When accounting for sociodemographic and behavioral factors, significant differences in retention in care persisted. Findings underscore the need for tailored interventions for subgroups of low-income WLH and provide contextual details around the role of housing experiences.

Profiles of HIV Care Disruptions Among Adult Patients Lost to Follow-up in Zambia: A Latent Class Analysis

BACKGROUND

Patients report varied barriers to HIV care across multiple domains, but specific barrier patterns may be driven by underlying, but unobserved, behavioral profiles.

METHODS

We traced a probability sample of patients lost to follow-up (>90 days late) as of July 31, 2015 from 64 clinics in Zambia. Among those found alive, we ascertained patient-reported reasons for care disruptions. We performed latent class analysis to identify patient subgroups with similar patterns of reasons reported and assessed the association between class membership and care status (ie, disengaged versus silently transferred to a new site).

RESULTS

Among 547 patients, we identified 5 profiles of care disruptions: (1) "Livelihood and Mobility" (30.6% of the population) reported work/school obligations and mobility/travel as reasons for care disruptions; (2) "Clinic Accessibility" (28.9%) reported challenges with attending clinic; (3) "Mobility and Family" (21.9%) reported family obligations, mobility/travel, and transport-related reasons; (4) "Doubting Need for HIV care" (10.2%) reported uncertainty around HIV status or need for clinical care, and (5) "Multidimensional Barriers to Care" (8.3%) reported numerous (mean 5.6) reasons across multiple domains. Patient profiles were significantly associated with care status. The "Doubting Need for HIV Care" class were mostly disengaged (97.9%), followed by the "Multidimensional Barriers to Care" (62.8%), "Clinic Accessibility" (62.4%), "Livelihood and Mobility" (43.6%), and "Mobility and Family" (23.5%) classes.

CONCLUSION

There are distinct HIV care disruption profiles that are strongly associated with patients' current engagement status. Interventions targeting these unique profiles may enable more effective and tailored strategies for improving HIV treatment outcomes.

Factors Associated With the Recurrence, Persistence, and Clearance of Asymptomatic Bacterial Vaginosis Among Young African American Women: A Repeated-Measures Latent Class Analysis

BACKGROUND

Although risk factors of recurrent and persistent bacterial vaginosis (BV) have been explored in the literature, the longitudinal incidence patterns of BV remain elusive.

METHODS

We conducted a secondary analysis of longitudinal data from a randomized clinical trial of metronidazole treatment for asymptomatic BV. Repeated-measures latent class analysis was used to identify distinct longitudinal patterns of incident BV cases. Multinomial regression analysis was used to determine the predictors of class membership. The multivariable model included age, last BV treatment, douching frequency, birth control, sexual risk behavior, and assignment to treatment arm.

RESULTS

A total of 858 African American women who were asymptomatic for BV were included in the analysis. Three emergent patterns of BV for 12 months were identified by repeated-measures latent class analysis: persistent (55.9%), recurrent (30.5%), and clearance (13.5%). Participants who had douched at least once had significantly lower odds to be in the recurrent class versus the clearance class (adjusted odds ratio [adjOR], 0.55; 95% confidence interval [CI], 0.18-0.63). Women who had sex with women had significantly lower odds of belonging to the persistent class versus the clearance class (adjOR, 0.38; 95% CI, 0.22-0.68) and the recurrent class (adjOR, 0.43; 95% CI, 0.23-0.81). Those who were assigned to the treatment arm had significantly increased odds of being in the recurrent class versus the clearance class (adjOR, 1.92; 95% CI, 1.22-3.03). Women older than 21 years were significantly more likely to be in the recurrent class (adjOR, 1.88; 95% CI, 1.17-3.00) than in the clearance class.

CONCLUSIONS

Assessment of BV cases revealed distinct patterns of recurrence and persistence of BV, which were significantly associated with douching, being in the treatment arm, and being a woman who had sex with women.

Patterns of Exposure to Socio-structural Stressors and HIV Care Engagement Among Transgender Women of Color

Transgender women are disproportionately affected by HIV and experiences of social adversity that may interfere with engagement in care and viral suppression. We used latent class analysis to examine patterns of social adversity and their impact on HIV care continuum outcomes in an urban sample of transgender women of color. Participants (n = 224) were median age 29 and 86% non-Hispanic Black. Lack of resources, unemployment, and housing instability were reported by over 50%, and 41% reported history of incarceration. Latent class analysis identified 2 distinct classes representing higher and lower levels of social adversity. In latent class regression, membership in the higher social adversity class was associated with statistically significantly lower odds of viral suppression and HIV care engagement in univariate analysis; when adjusted for age, race, and recruitment site the association remained statistically significant for viral suppression (aOR 0.38, 95% CI 0.18-0.79; chi-square = 6.681, d.f. = 1, p = 0.010), though not for HIV care engagement. Our findings highlight the impact of socio-structural barriers on engagement in the HIV care continuum among transgender women.

Housing Instability Results in Increased Acute Care Utilization in an Urban HIV Clinic Cohort

Background

People living with HIV (PLWH) who experience homelessness and unstable housing (HUH) often have fragmented health care. Research that incorporates granular assessments of housing status and primary care visit adherence to understand patterns of acute care utilization can help pinpoint areas for intervention.

Methods

We collected self-reported living situation, categorized as stable (rent/own, hotel/single room occupancy), unstable (treatment/transitional program, staying with friends), or homeless (homeless shelter, outdoors/in vehicle) at an urban safety-net HIV clinic between February and August 2017 and abstracted demographic and clinical information from the medical record. Regression models evaluated the association of housing status on the frequency of acute care visits—urgent care (UC) visits, emergency department (ED) visits, and hospitalizations—and whether suboptimal primary care visit adherence (<75%) interacted with housing status on acute care visits.

Results

Among 1198 patients, 25% experienced HUH. In adjusted models, unstable housing resulted in a statistically significant increase in the incidence rate ratio for UC visits (incidence rate ratio [IRR], 1.35; 95% confidence interval [CI], 1.10 to 1.66; P < .001), ED visits (IRR, 2.12; 95% CI, 1.44 to 3.13; P < .001), and hospitalizations (IRR, 1.75; 95% CI, 1.10 to 2.77; P = 0.018). Homelessness led to even greater increases in UC visits (IRR, 1.75; 95% CI, 1.29 to 2.39; P < .001), ED visits (IRR, 4.18; 95% CI, 2.77 to 6.30; P < .001), and hospitalizations (IRR, 3.18; 95% CI, 2.03 to 4.97; P < .001). Suboptimal visit adherence differentially impacted UC and ED visits by housing status, suggesting interaction.

Conclusions

Increased acute care visit frequency among HUH-PLWH suggests that interventions at these visits may create opportunities to improve care.