Factors Associated with Missed Psychiatry Visits in an Urban HIV Clinic

Factors Influencing the Status of Adherence to Second Clinic Visit Among Clients Newly Diagnosed with HIV in Northern Uganda: A Mixed-Methods Study

Background

The "test-and-treat" policy may adversely affect adherence to clinic visits of clients newly diagnosed with HIV due to unpreparedness to commence treatment. However, few studies have examined the factors influencing the status of adherence to second clinic visit among clients newly diagnosed with HIV. We examined the factors influencing the status of adherence to second clinic visit among clients newly diagnosed with HIV in Apac District, northern Uganda.

Methods

This was a mixed-methods study conducted among 292 systematically sampled clients newly diagnosed with HIV for the survey and 15 purposively sampled clients for the in-depth interview from July to August 2020. Quantitative data were collected using a structured questionnaire, while qualitative data were collected using an interview guide. Quantitative data were analyzed descriptively while qualitative data were analyzed thematically.

Results

The mean age of the study participants were 39.5±11 years and their age ranged from 18 to 72 years. Close to three-quarters of study participants adhered to their second clinic visit 74% (214/292). Factors that influenced participants' adherence to the second clinic visit were the adequate HIV pre/post-test counseling positive attitude of clients towards HIV-positive diagnosis, family support, and long waiting time.

Conclusion

More than two-thirds of clients newly diagnosed with HIV in Apac District, northern Uganda adhered to their second clinic visit. HIV/AIDS service providers should strengthen HIV pre/post-test counselling, social support systems for persons living with HIV/AIDS, and reduce clients' waiting time to improve adherence to second clinic visit among clients newly diagnosed with HIV.

Wait No Longer: Reducing Medication Wait-Times for Individuals with Co-Occurring Disorders

Objective: Community addiction treatment agencies have utilized Network for the Improvement of Addiction Treatment (NIATx), a proven implementation strategy, to reduce appointment wait-times. However, its effectiveness at reducing medication access wait-times has not been explored. Thus, we conducted an exploratory analysis to evaluate the impact of the NIATx implementation strategies on reduced wait-times to addiction, psychotropic or both medications for individuals with co-occurring disorders (COD). Methods: In a cluster-randomized waitlist control group design, community addiction treatment agencies (n = 49) were randomized to receive the NIATx strategy (Cohort 1, n = 25) or to a Waitlist control (Cohort 2, n = 24). All agencies had a 12-month active intervention period. The primary outcome was the medication encounter wait-time. A univariate general linear model analysis utilizing a logarithmic (log10) transformation examined medication wait-times improvements. Results: The intent-to-treat analysis for psychotropic medications and both medications (reflecting integrated treatment) showed significant main effects for intervention and time, especially comparing Baseline and Year 1 to Year 2. Conversely, only the main effect for time was significant for addiction medications. Wait-time reductions in Cohort 1 agencies was delayed and occurred in the sustainment phase. Wait-times to a psychotropic, addiction, or both medications encounter declined by 3 days, 4.9 days, and 6.8 days, respectively. For Cohort 2 agencies, reduced wait-times were seen for psychotropic (3.4 days), addiction (6 days), and both medications (4.9 days) during their active implementation period. Same- or next-day medication access also improved. Conclusions: NIATx implementation strategies reduced medication encounter wait-times but timing of agency improvements varied. Despite a significant improvement, a three-week wait-time to receive integrated pharmacological interventions is clinically suboptimal for individuals with a COD in need of immediate intervention. Community addiction treatment agencies should identify barriers and implement changes to improve medication access so that their patients "wait no longer" to receive integrated treatment and medications for their COD.

Impact of Delayed Time to Advanced Imaging on Missed Appointments Across Different Demographic and Socioeconomic Factors

PURPOSE

The aim of this study was to investigate the impact of wait days (WDs) on missed outpatient MRI appointments across different demographic and socioeconomic factors.

METHODS

An institutional review board-approved retrospective study was conducted among adult patients scheduled for outpatient MRI during a 12-month period. Scheduling data and demographic information were obtained. Imaging missed appointments were defined as missed scheduled imaging encounters. WDs were defined as the number of days from study order to appointment. Multivariate logistic regression was applied to assess the contribution of race and socioeconomic factors to missed appointments. Linear regression was performed to assess the relationship between missed appointment rates and WDs stratified by race, income, and patient insurance groups with analysis of covariance statistics.

RESULTS

A total of 42,727 patients met the inclusion criteria. Mean WDs were 7.95 days. Multivariate regression showed increased odds ratio for missed appointments for patients with increased WDs (7-21 days: odds ratio [OR], 1.39; >21 days: OR, 1.77), African American patients (OR, 1.71), Hispanic patients (OR, 1.30), patients with noncommercial insurance (OR, 2.00-2.55), and those with imaging performed at the main hospital campus (OR, 1.51). Missed appointment rate linearly increased with WDs, with analysis of covariance revealing underrepresented minorities and Medicaid insurance as significant effect modifiers.

CONCLUSIONS

Increased WDs for advanced imaging significantly increases the likelihood of missed appointments. This effect is most pronounced among underrepresented minorities and patients with lower socioeconomic status. Efforts to reduce WDs may improve equity in access to and utilization of advanced diagnostic imaging for all patients.

Mental health service utilization is associated with retention in care among persons living with HIV at a university-affiliated HIV clinic

Background

Mental health (MH) comorbidities reduce retention in care for persons living with HIV (PLWH) and are associated with poor health outcomes. Optimizing retention in primary care is vital, as poor retention is associated with delayed receipt of antiretroviral (ARV) therapy, ARV non-adherence, and poor health outcomes, including failure to suppress viral load, decreased CD4 counts, and clinically significant ARV drug resistance. We hypothesized that MH service utilization would be associated with improved retention in care for patients with HIV and MH comorbidities.

Methods

This is a retrospective analysis of PLWH initiating outpatient HIV health care at a university-affiliated HIV clinic between January 2007 and December 2013. We examined the association between MH service utilization and retention in care, the outcome of interest, using univariate and multivariable logistic regression.

Results

Overall, 627 (84.4%) out of 743 patients were retained in care using the Health Resources & Services Administration HIV/AIDS Bureau (HRSA/HAB) metric. A multivariable model adjusted for several sociodemographic factors, MH comorbidities, and MH service utilization. The results suggest that lack of health insurance (public ORadj = 0.3, p < 0.01; no insurance ORadj = 0.4, p < 0.01) and ≥ 3 MH comorbidities (ORadj = 0.3, P = 0.01) were associated with decreased retention in care. Conversely, older age (> 45 years, ORadj. = 1.6, p = 0.14) and ≥ 3 MH service utilization visits (ORadj. = 6.8, p < 0.01) were associated with increased retention in care.

Conclusions

Even in the absence of documented MH comorbidities, improved retention in care was observed with increasing MH service utilization. In order to achieve the US-based National HIV/AIDS Strategy goal of 90% retention in care for PLWH, MH service utilization should be considered along with other evidence-based interventions to improve retention for PLWH newly engaged in care.

Understanding Barriers to Initial Treatment Engagement among Underserved Families Seeking Mental Health Services

This mixed method study examined factors associated with parents not attending their child's mental health treatment after initially seeking help for their 2-5 year old child. It was part of a larger study comparing two evidence-based treatments among low-income racial/ethnic minority families seeking child mental health services. Of 123 parents who initiated mental health treatment (71% African American or multi-racial; 97.6% low-income), 36 (29.3%) never attended their child's first treatment session. Socio-demographic characteristics, parenting stress, depression, severity of child behavior problems, and length of treatment delay from intake to first scheduled treatment session were compared for families who did and did not attend their first treatment session. Parents who never attended their child's first treatment session were more likely to live with more than 4 adults and children (p=.007) and have more depressive symptoms (p=.003). Median length of treatment delay was 80 days (IQR =55) for those who attended and 85 days (IQR =67.5) for those who did not attend their child's first treatment session (p=.142). Three themes emerged from caregiver interviews: (a) expectations about the treatment, (b) delays in getting help, and (c) ambivalence about research participation. Findings suggest the need to develop better strategies for addressing risk factors early in the treatment process and reducing the length of time families with adverse psychosocial circumstances must wait for child mental health treatment.