Missed visits and decline in CD4 cell count among HIV-infected patients: a mixed method study

Suicide Behavior Among Indigenous and Non-Indigenous Living with HIV: A Cross-Sectional Study in Indonesia

Suicide remains a major public health problem, with nearly 1 million deaths per year. The number tends to increase over time and factors leading to suicide suicidal behaviors are complex. However, there is a paucity of evidence on suicidal behaviors and the associated factors among people living with HIV (PLWH) in Indonesia. Therefore, this study aimed to estimate the prevalence and associated factors of suicidal behavior between indigenous and non-indigenous living with HIV who were on Dolutegravir and Efavirenz therapies. The cross-sectional data were collected using questionnaires. Participants completed the Suicidal Behaviors Questionnaire-Revised (SBQ-R), Depression Anxiety Stress Scale-42 (DASS-42), HIV Stigma-Sowell Scale, and demographic information questions. The outcome was low and high self-reported suicidal behaviors, while logistic regression analyses were used to estimate adjusted odds ratios (aOR) for associated factors of high suicidal behaviors. A total of 200 PLWH were enrolled and 8.5% of the participants had high levels of suicidal behaviors. The majority of participants were Efavirenz users (84.0%), and Papuans as Indigenous (75.5%). More than half had a high school education (60.5%), were female (58%), married (54%), and unpaid (59%). The multiple logistic regression model showed that indigenous (aOR = 0.122; 95% CI = 0.029-0.514), and people who had children (aOR = 0.221; 95% CI = 0.051-0.957) were more likely to have low suicidal behaviors. Participants who were aged 18-27 years (aOR = 5.894; 95% CI = 1.336-30.579), had high self-blame (aOR = 1.342; 95% CI) = 1.004-1.792), and detectable HIV viral load (aOR = 6.177; 95%CI = 1.118-34.119) had high suicidal behavior. This study identified the risk of suicidality among PLWHs is high and routine suicide assessment is prioritized. The findings are also useful for intervention design and the development of clinical practice guidelines to manage the well-being of PLWH such as using digital intervention to cope with hindrances.

The Characteristics of Youth With Missed HIV Visits in Alabama

Gaps in knowledge remain related to understanding missed human immunodeficiency virus (HIV) visits and youth with HIV (YWH). This study examined data from an Alabama academic HIV clinic with clients aged 16 to 24 years old and found that non virally suppressed and older YWH were associated with missed visits among YWH.

Continuity of Care is Associated with Higher Appointment Adherence Among HIV Patients in Low Clinician-to-Patient Ratio Facilities in Western Kenya

We sought to determine the relationship between continuity of care and adherence to clinic appointments among patients receiving HIV care in high vs. low clinician-to-patient (C:P) ratios facilities in western Kenya. This retrospective analysis included 12,751 patients receiving HIV care from the Academic Model Providing Access to Healthcare (AMPATH) program, between February 2016-2019. We used logistic regression analysis with generalized estimating equations to estimate the relationship between continuity of care (two consecutive visits with the same provider) and adherence to clinic appointments (within 7 days of a scheduled appointment) over time. Adjusting for covariates, patients in low C:P ratio facilities who had continuity of care, were more likely to be adherent to their appointments compared to those without continuity (adjusted odds ratio = 1.50; 95% confidence interval, 1.33-1.69). Continuity in HIV care may be a factor in clinical adherence among patients in low C:P ratio facilities and should therefore be promoted.

Increased reengagement of out-of-care HIV patients using Lost & Found, a clinic-based intervention

BACKGROUND

Negative health outcomes associated with being out of HIV care (OOC) warrant reengagement strategies. We aimed to assess effectiveness of Lost & Found, a clinic-based intervention to identify and reengage OOC patients.

METHODS

Developed and delivered using implementation science, Lost & Found consists of two core elements: identification, operationalized through nurse validation of a real-time list of possible OOC patients; and contact, via nurse-led phone calls. It was implemented over a 12-month period (2018-2019) at the Chronic Viral Illness Service, McGill University Health Centre (CVIS-MUHC) during a type-II implementation-effectiveness hybrid pilot study. Descriptive outcomes of interest were identification as possibly OOC, OOC confirmation, contact, and successful reengagement. We present results from a pre-post analysis comparing overall reengagement to the year prior, using robust Poisson regression controlled for sex, age, and Canadian birth. Time to reengagement is reported using a Cox proportional hazards model.

RESULTS

Over half (56%; 1312 of 2354) of CVIS-MUHC patients were identified as possibly OOC. Among these, 44% (n = 578) were followed elsewhere, 19% (n = 249) engaged in care, 3% (n = 33) deceased, 2% (n = 29) otherwise not followed, and 32% (n = 423) OOC. Of OOC patients contacted (85%; 359/423), 250 (70%) reengaged and 40 (11%) had upcoming appointments; the remainder were unreachable, declined care, or missed given appointments. Pre-post results indicate people who received Lost & Found were 1.18 [95% confidence interval (CI) 1.02-1.36] times more likely to reengage, and reengaged a median 55 days (95% CI 14-98) sooner.

CONCLUSION

Lost & Found may be a viable clinic-based reengagement intervention for OOC patients. More robust evaluations are needed.

Routine HIV clinic visit adherence in the African Cohort Study

Background

Retention in clinical care is important for people living with HIV (PLWH). Evidence suggests that missed clinic visits are associated with interruptions in antiretroviral therapy (ART), lower CD4 counts, virologic failure, and overlooked coinfections. We identified factors associated with missed routine clinic visits in the African Cohort Study (AFRICOS).

Methods

In 2013, AFRICOS began enrolling people with and without HIV in Uganda, Kenya, Tanzania, and Nigeria. At enrollment and every 6 months thereafter, sociodemographic questionnaires are administered and clinical outcomes assessed. Missed clinic visits were measured as the self-reported number of clinic visits missed in the past 6 months and dichotomized into none or one or more visits missed. Logistic regression with generalized estimating equations was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between risk factors and missed visits.

Results

Between January 2013 and March 2020, 2937 PLWH were enrolled, of whom 2807 (95.6%) had initiated ART and 2771 had complete data available for analyses. Compared to PLWH 50+, missed clinic visits were more common among those 18–29 years (aOR 2.33, 95% CI 1.65–3.29), 30–39 years (aOR 1.59, 95% CI 1.19–2.13), and 40–49 years (aOR 1.42, 95% CI 1.07–1.89). As compared to PLWH on ART for < 2 years, those on ART for 4+ years were less likely to have missed clinic visits (aOR 0.72, 95% CI 0.55–0.95). Missed clinic visits were associated with alcohol use (aOR 1.34, 95% CI 1.05–1.70), a history of incarceration (aOR 1.42, 95% CI 1.07–1.88), depression (aOR 1.47, 95% CI 1.13–1.91), and viral non-suppression (aOR 2.50, 95% CI 2.00–3.12). As compared to PLWH who did not miss any ART in the past month, missed clinic visits were more common among those who missed 1–2 days (aOR 2.09, 95% CI 1.65–2.64) and 3+ days of ART (aOR 7.06, 95% CI 5.43–9.19).

Conclusions

Inconsistent clinic attendance is associated with worsened HIV-related outcomes. Strategies to improve visit adherence are especially needed for young PLWH and those with depression.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12981-021-00425-0.

The relationship between alcohol use and anxiety and retrospective attendance of primary care visits among women with human immunodeficiency virus

In this retrospective study, we sought to determine the associations between alcohol use and anxiety and RIC among WHIV. Alcohol use was assessed using the Timeline Follow-back to measure use over the 90 days preceding the interview. Anxiety symptoms scores, assessed with the Hospital Anxiety and Depression Scale- Anxiety Subscale (HADS-A). Primary care visits over twelve months prior to the interview were collected from clinic registration records. We used three logistic mixed models, adjusting for age, race, education, cocaine use, depression, viral load, and antiretroviral therapy (ART) status. Among 364 WHIV, mean attendance of primary care visits was 63.9%. Every one-day increase in drinking days (OR = 0.99, 95% CI 0.99, 1.00) or heavy drinking days (OR = 0.99, 95% CI 0.90, 1.00) was associated with decreased odds of attending primary care visits (P = 0.02). Moderate/severe anxiety scores, compared to minimal anxiety scores, were associated with decreased odds of attending primary care visits (OR = 0.69, 95% CI 0.50, 0.97). Cocaine use was associated with decreased odds of attending primary care visits (OR 0.56, 0.57). Our findings indicate that identifying and treating WHIV with alcohol use (especially heavy drinking), moderate/severe anxiety symptoms and/or cocaine use could potentially improve their RIC.

Physician Mistrust, Medical System Mistrust, and Perceived Discrimination: Associations with HIV Care Engagement and Viral Load

Medical mistrust is an important risk factor for many health outcomes. For individuals with HIV and substance use co-morbidities, mistrust may influence engagement with health care, and affect overall health and transmission risk. Medical mistrust can be measured by an individual's mistrust of his/her physician, or mistrust of the medical system. This study examined both types of mistrust among 801 substance-using individuals with uncontrolled HIV infection. The aims were to determine how physician mistrust, medical system mistrust, and discrimination experiences were associated with engagement in HIV primary care. Findings indicated higher levels of physician mistrust, but not medical system mistrust, were associated with a longer time since the last visit to an HIV provider. Longer time since seeing an HIV care provider was associated with higher viral load. This study refines our understanding of the relationship between mistrust and HIV care engagement for a large, diverse sample of substance-using individuals.

Monitoring self-reported adherence to antiretroviral therapy in public HIV care facilities in Brazil: A national cross-sectional study

INTRODUCTION

Patient adherence to antiretroviral therapy (ART) is critical for HIV treatment success. Monitoring rates of adherence in public HIV outpatient care facilities can improve outcomes in Brazil where ART is universally available.

METHODS

We conducted a national cross-sectional survey of ART adherence in 2010. Participants were selected using a multistage probability sample. First, HIV outpatient care facilities were stratified according to 7 Organizational Quality Classification (OQC) groups and regions. Second, 1 or 2 facilities were selected per region for each OQC group. Finally, patients were randomly selected at each facility. In a first component, patients were invited to answer to a web-based questionnaire (WebAd-Q), a validated self-reported tool that includes 3 questions on adherence to ART in the past 7 days (time scheduling-timing, drug regimen-medication, and pill counts-dose), herein named indicators of potential nonadherence (IPN). In addition, a subsample of participants were interviewed in order to obtain further data on sociodemographic and clinical characteristics (second component). The proportion of each IPN was estimated using weighted data to account for the sampling design with 95% confidence interval (CI) and descriptive analysis was carried out.

RESULTS

Fifty-five facilities were chosen and 2424 patients completed the WebAd-Q in the first component of the study, while 598 patients were interviewed for the second component. The weighted proportions of the IPN were 50.9%, 31.8%, and 19.5%, for timing, medication, and dose, respectively, while11.7% had all 3 indicators, varying from 5.9% in the Southeast and 21.9% in the Northeast regions. Overall, 61.1% of the patients had at least 1 IPN (95% CI: 58.5-63.7%). Patients reporting depression symptoms, illicit drug use and those who missed medical appointments had worse nonadherence outcomes.

CONCLUSIONS

Overall, there was a high proportion of all indicators IPN and timing was the main component associated with low adherence. Although these indicators may not necessarily indicate individual nonadherence, they represent a worrisome scenario in the public Brazilian HIV care facilities. On a routine basis, these facilities can identify gaps in providing counseling and ART orientation to their clientele and develop innovative strategies to prevent nonadherence.

Factors for incomplete adherence to antiretroviral therapy including drug refill and clinic visits among older adults living with human immunodeficiency virus - cross-sectional study in South Africa

OBJECTIVES

To assess adherence outcomes to antiretroviral therapy (ART) of recipients ≥50 years in Soweto, South Africa.

METHODS

This was a secondary data analysis for a cross-sectional study at two HIV clinics in Soweto. Data on ART adherence and covariates were gathered through structured interviews with HIV 878 persons living with HIV (PLHIV) receiving ART. Logistic regression analysis was used to assess associations.

RESULTS

PLHIV ≥50 years (n = 103) were more likely to miss clinic visits during the last six months than PLHIV aged 25-49 (OR 2.15; 95%CI 1.10-4.18). PLHIV ≥50 years with no or primary-level education were less likely to have missed a clinic visit during the last six months than PLHIV with secondary- or tertiary-level education in the same age category (OR 0.3; 95%CI 0.1-1.1), as were PLHIV who did not disclose their status (OR 0.2; 95%CI 0-1.1). There was no evidence of increased risk for non-adherence to ART pills and drug refill visits among older PLHIV.

CONCLUSION

Missing a clinic visit was more common among older PLHIV who were more financially vulnerable. Further studies are needed to verify these findings and identify new risk factors associated with ART adherence.

Missed Initial Medical Visits: Predictors, Timing, and Implications for Retention in HIV Care

HIV disproportionately affects racial/ethnic minorities and individuals living in the southern United States, and missed clinic visits account for much of this disparity. We sought to evaluate: (1) predictors of missed initial HIV medical visits, (2) time to initial visit, and (3) the association between initial visit attendance and retention in HIV care. Chart reviews were conducted for 200 consecutive HIV-infected patients (100 in Dallas, 100 in San Antonio) completing case management (CM) intake. Of these, 52 (26%) missed their initial visit, with 22 (11%) never presenting for care. Mean age was 40 years, 85% were men, >70% were of minority race/ethnicity, and 28% had a new HIV diagnosis. Unemployment (OR [95% CI] = 2.33 [1.04-5.24], p = 0.04) and lower attendance of CM visits (OR = 3.08 [1.43-6.66], p = 0.004) were associated with missing the initial medical visit. A shorter time to visit completion was associated with CD4 ≤ 200 (HR 1.90 [1.25-2.88], p = 0.003), Dallas study site (HR = 1.48 [1.03-2.14], p = 0.04), and recent hospitalization (HR = 2.18 [1.38-3.43], p < 0.001). Patients who did not complete their initial medical visit within 90 days of intake were unlikely to engage in care. Initial medical visit attendance was associated with higher proportion of visits attended (p = 0.04) and fewer gaps in care (p = 0.01). Missed medical visits were common among HIV patients initiating or reinitiating care in Texas. Employment and CM involvement predicted initial medical visit attendance, which was associated with retention in care. New, early engagement strategies are needed to decrease missed visits and reduce HIV health disparities.

Sociodemographic profile and predictors of outpatient clinic attendance among HIV-positive patients initiating antiretroviral therapy in Selangor, Malaysia

BACKGROUND

Inconsistent literature evidence suggests that sociodemographic, economic, and system- and patient-related factors are associated with clinic attendance among the HIV-positive population receiving antiretroviral therapy (ART) around the world. We examined the factors that predict outpatient clinic attendance among a cohort of HIV-positive patients initiating ART in Selangor, Malaysia.

PATIENTS AND METHODS

This cross-sectional study analyzed secondary data on outpatient clinic attendance and sociodemographic, economic, psychosocial, and patient-related factors among 242 adult Malaysian patients initiating ART in Selangor, Malaysia. Study cohort was enrolled in a parent randomized controlled trial (RCT) in Hospital Sungai Buloh Malaysia between January and December 2014, during which peer counseling, medication, and clinic appointment reminders were provided to the intervention group through short message service (SMS) and telephone calls for 24 consecutive weeks. Data on outpatient clinic attendance were extracted from the hospital electronic medical records system, while other patient-level data were extracted from pre-validated Adult AIDS Clinical Trial Group (AACTG) adherence questionnaires in which primary data were collected. Outpatient clinic attendance was categorized into binary outcome - regular attendee and defaulter categories - based on the number of missed scheduled outpatient clinic appointments within a 6-month period. Multivariate regression models were fitted to examine predictors of outpatient clinic attendance using SPSS version 22 and R software.

RESULTS

A total of 224 (93%) patients who completed 6-month assessment were included in the model. Out of those, 42 (18.7%) defaulted scheduled clinic attendance at least once. Missed appointments were significantly more prevalent among females (n=10, 37.0%), rural residents (n=10, 38.5%), and bisexual respondents (n=8, 47.1%). Multivariate binary logistic regression analysis showed that Indian ethnicity (adjusted odds ratio [AOR] =0.235; 95% CI [0.063-0.869]; P=0.030) and heterosexual orientation (AOR =4.199; 95% CI [1.040-16.957]; P=0.044) were significant predictors of outpatient clinic attendance among HIV-positive patients receiving ART in Malaysia.

CONCLUSION

Ethnicity and sexual orientation of Malaysian patients may play a significant role in their level of adherence to scheduled clinic appointments. These factors should be considered during collaborative adherence strategy planning at ART initiation.

Getting patients in the door: medical appointment reminder preferences

PURPOSE

Between 23% and 34% of outpatient appointments are missed annually. Patients who frequently miss medical appointments have poorer health outcomes and are less likely to use preventive health care services. Missed appointments result in unnecessary costs and organizational inefficiencies. Appointment reminders may help reduce missed appointments; particular types may be more effective than other types. We used a survey with a discrete choice experiment (DCE) to learn why individuals miss appointments and to assess appointment reminder preferences.

METHODS

We enrolled a national sample of adults from an online survey panel to complete demographic and appointment habit questions as well as a 16-task DCE designed in Sawtooth Software's Discover tool. We assessed preferences for four reminder attributes - initial reminder type, arrival of initial reminder, reminder content, and number of reminders. We derived utilities and importance scores.

RESULTS

We surveyed 251 adults nationally, with a mean age of 43 (range 18-83) years: 51% female, 84% White, and 8% African American. Twenty-three percent of individuals missed one or more appointments in the past 12 months. Two primary reasons given for missing an appointment include transportation problems (28%) and forgetfulness (26%). Participants indicated the initial reminder type (21%) was the most important attribute, followed by the number of reminders (10%). Overall, individuals indicated a preference for a single reminder, arriving via email, phone call, or text message, delivered less than 2 weeks prior to an appointment. Preferences for reminder content were less clear.

CONCLUSION

The number of missed appointments and reasons for missing appointments are consistent with prior research. Patient-centered appointment reminders may improve appointment attendance by addressing some of the reasons individuals report missing appointments and by meeting patients' needs. Future research is necessary to determine if preferred reminders used in practice will result in improved appointment attendance in clinical settings.

The relationship between adherence to clinic appointments and year-one mortality for newly enrolled HIV infected patients at a regional referral hospital in Western Kenya, January 2011-December 2012

This retrospective cohort analysis was conducted to describe the association between adherence to clinic appointments and mortality, one year after enrollment into HIV care. We examined appointment-adherence for newly enrolled patients between January 2011 and December 2012 at a regional referral hospital in western Kenya. The outcomes of interest were patient default, risk factors for repeat default, and year-one risk of death. Of 582 enrolled patients, 258 (44%) were defaulters. GEE revealed that once having been defaulters, patients were significantly more likely to repeatedly default (OR 1.4; 95% CI 1.12-1.77), especially the unemployed (OR 1.43; 95% CI 1.07-1.91), smokers (OR 2.22; 95% CI 1.31-3.76), and those with no known disclosure (OR 2.17; 95% CI 1.42-3.3). Nineteen patients (3%) died during the follow-up period. Cox proportional hazards revealed that the risk of death was significantly higher among defaulters (HR 3.12; 95% CI 1.2-8.0) and increased proportionally to the rate of patient default; HR was 4.05 (95% CI1.38-11.81) and 4.98 (95% CI 1.45-17.09) for a cumulative of 4-60 and ≥60 days elapsed between all scheduled and actual clinic appointment dates, respectively. Risk factors for repeat default suggest a need to deliver targeted adherence programs.

Appointment "no-shows" are an independent predictor of subsequent quality of care and resource utilization outcomes

BACKGROUND

Identifying individuals at high risk for suboptimal outcomes is an important goal of healthcare delivery systems. Appointment no-shows may be an important risk predictor.

OBJECTIVES

To test the hypothesis that patients with a high propensity to "no-show" for appointments will have worse clinical and acute care utilization outcomes compared to patients with a lower propensity.

DESIGN

We calculated the no-show propensity factor (NSPF) for patients of a large academic primary care network using 5 years of outpatient appointment data. NSPF corrects for patients with fewer appointments to avoid over-weighting of no-show visits in such patients. We divided patients into three NSPF risk groups and evaluated the association between NSPF and clinical and acute care utilization outcomes after adjusting for baseline patient characteristics.

PARTICIPANTS

A total of 140,947 patients who visited a network practice from January 1, 2007, through December 31, 2009, and were either connected to a primary care physician or to a primary care practice, based on a previously validated algorithm.

MAIN MEASURES

Outcomes of interest were incomplete colorectal, cervical, and breast cancer screening, and above-goal hemoglobin A1c (HbA1c) and low-density lipoprotein (LDL) levels at 1-year follow-up, and hospitalizations and emergency department visits in the subsequent 3 years.

KEY RESULTS

Compared to patients in the low NSPF group, patients in the high NSPF group (n=14,081) were significantly more likely to have incomplete preventive cancer screening (aOR 2.41 [2.19-.66] for colorectal, aOR 1.85 [1.65-.08] for cervical, aOR 2.93 [2.62-3.28] for breast cancer), above-goal chronic disease control measures (aOR 2.64 [2.22-3.14] for HbA1c, aOR 1.39 [1.15-1.67] for LDL], and increased rates of acute care utilization (aRR 1.37 [1.31-1.44] for hospitalization, aRR 1.39 [1.35-1.43] for emergency department visits).

CONCLUSIONS

NSPF is an independent predictor of suboptimal primary care outcomes and acute care utilization. NSPF may play an important role in helping healthcare systems identify high-risk patients.

The Contribution of Missed Clinic Visits to Disparities in HIV Viral Load Outcomes

OBJECTIVES

We explored the contribution of missed primary HIV care visits ("no-show") to observed disparities in virological failure (VF) among Black persons and persons with injection drug use (IDU) history.

METHODS

We used patient-level data from 6 academic clinics, before the Centers for Disease Control and Prevention and Health Resources and Services Administration Retention in Care intervention. We employed staged multivariable logistic regression and multivariable models stratified by no-show visit frequency to evaluate the association of sociodemographic factors with VF. We used multiple imputations to assign missing viral load values.

RESULTS

Among 10 053 patients (mean age = 46 years; 35% female; 64% Black; 15% with IDU history), 31% experienced VF. Although Black patients and patients with IDU history were significantly more likely to experience VF in initial analyses, race and IDU parameter estimates were attenuated after sequential addition of no-show frequency. In stratified models, race and IDU were not statistically significantly associated with VF at any no-show level.

CONCLUSIONS

Because missed clinic visits contributed to observed differences in viral load outcomes among Black and IDU patients, achieving an improved understanding of differential visit attendance is imperative to reducing disparities in HIV.

Patient Perspectives on Leaving, Disengaging, and Returning to HIV Care

Continuity of care is the cornerstone of all modern HIV disease management guidelines. Interruptions in care due to disengagement or moving between HIV care centers are common occurrences often contributing to poorer health. In order to understand why patients disengage from HIV care we first document movement into and out of our regional population since 2001 and then interview returning patients about their underlying motivations leaving or transferring care. Overall, 47% of all patients either disengaged (i.e., lost-to-follow-up) or moved away from local HIV care; 16% returned. Motivations and underlying reasons stated by patients who moved were different than for patients who disengaged from care. "Feeling well' and 'loss of interest' most often led to dropping out of care, whereas as employment or family issues predicated more formal moves. Reengaging to HIV care was commonly related to health concerns. Understanding patient's motivations underlying discontinuation of care will help provide insight into the reasons that patients themselves find important thus improving outcomes.