Longitudinal Dyadic Interdependence in Depression Symptoms of Caregivers Living with HIV in Uganda and Their Dependent Children's Neurodevelopment and Executive Behavior Outcomes.

We tested a model of dyadic interdependence in depression symptoms experienced by female caregivers living with HIV in Uganda (n = 288) and behavioral problems of their HIV-infected (n = 92) and perinatally HIV-exposed uninfected (HEU) children (n = 196). Three repeated measures of caregiver depression symptoms and child neurodevelopment and behavioral outcomes were related to their own outcomes at a previous time point (actor effects), and the outcomes of the other member of the dyad (partner effects). Caregiver depression and child behavioral problem were interdependent over the 24 months of observation. Caregiver depression at Tn predicted child's behavioral problems at Tn+1 (coefficient = 0.1220, SE = 0.0313, p < 0.01); child behavioral problems at Tn predicted maternal depression at Tn+1 (coefficient = 0.0984, SE = 0.0253, p < 0.01). Results suggest the importance of services addressing behavioral needs of affected children and mental health of their mothers.

RESUMEN: Evaluamos la interdependencia en relaciones diádicas entre síntomas de depresión en mujeres viviendo con VIH en Uganda (n = 288) y medidas de neurodesarollo y comportamiento en sus hijos no infectados pero expuestos a VIH (HEU) (n = 196). Tres mediciones repetidas de síntomas de depresión en mujeres y de neurodesarollo y comportamiento en niños estuvieron relacionadas con sus propios resultados en mediciones anteriores (efecto de actor), y con los resultados del otro miembro de la pareja (efecto de pareja). Síntomas depresivos y problemas conductuales fueron interdependientes durante los 24 meses de observación. Síntomas depresivos en mujeres en Tn predijeron problemas conductuales en el niño en Tn+1 (coeficiente = 0.1220, SE = 0.0313, p < 0.01); problemas conductuales en el niño en Tn predijeron depresión en mujeres en Tn+1 (coeficiente = 0.0984 , SE = 0.0253, p < 0.01). Los resultados sugieren la importancia de servicios que se enfoquen en atender problemas conductuales y de salud mental materna.

Do treatment patterns alter beliefs cancer patients hold regarding oral oncolytic agents?

OBJECTIVE: Cancer patients, particularly those prescribed with oral oncolytic medications, face treatment side effects and temporary and permanent stoppages of treatment. This research examines how events during treatment affect patients' beliefs regarding oral oncolytic medications. METHODS: A total of 272 cancer patients initiating 1 of 28 oral oncolytic agents were followed for 12 weeks. Assessments of Beliefs About Medications Questionnaire, symptoms, physical function, and depression measures were performed during telephone interviews at intake (medication start) and 4, 8, and 12 weeks. Electronic medical record audits identified dates of temporary and permanent medication stoppages. Linear mixed-effects models were used for longitudinal analyses of the Beliefs About Medications Questionnaire scores in relation to patient characteristics, symptom severity, and medication stoppages. RESULTS: Over the initial 12 weeks, beliefs about the necessity of oral medications have increased, concerns have decreased, and interference of medications with daily lives has increased. Permanent stoppage of a medication predicted significant declines in beliefs about its necessity over time. Male patients, those less educated, those reporting higher symptom severity, and those experiencing temporary stoppages had greater concerns. Interference of medications with daily life was higher for males, increased with higher symptom severity, and differed by drug category. CONCLUSIONS: Patients' beliefs in the necessity of their oral medication were affected only by a permanent drug stoppage. Symptom severity, education, and patient sex affected patients' beliefs about their concerns with their medications and the interference medications posed for their daily lives. Interventions may need to target the distinct dimensions of beliefs during treatment with oral oncolytic agents.

Adult Cancer Patient Recruitment and Enrollment into Cell Phone Text Message Trials.

INTRODUCTION: Text messaging (TMs) on cell phones is emerging as an effective means of delivering behavioral interventions. However, little is known about TM use in adult cancer patients. The present study aimed to extend knowledge on acceptability of a TM intervention in adult cancer patients; examine factors of those screened and enrolled; and compare recruitment at a large national specialty pharmacy versus community-based cancer clinics. MATERIALS AND METHODS: Screening, enrollment, and baseline data collected in two randomized controlled trials examining the efficacy of TMs on medication adherence or symptom severity in adults prescribed oral anticancer agents were linked. Chi-square, Fisher's exact, t-tests, and generalized linear modeling were used to examine sociodemographics, cancer type and stage, depressive symptoms, self-efficacy, social support, and symptoms. RESULTS: The cancer clinics screened 293 patients, 43% were eligible, and 56% consented. The specialty pharmacy screened 169 patients, 72% were eligible, and 74% consented. Mean age was 58 years and did not differ by recruitment setting. Later stage disease (p = 0.01) and higher number of symptoms (p < 0.01), and symptom severity (p = 0.02) and interference (p = 0.01) were observed among patients recruited at the specialty pharmacy. No group differences were found for depression, physical function, cognition, self-efficacy, or social support. DISCUSSION: Adult cancer patients were likely to participate in a TM intervention trial. Recruiting through the specialty pharmacy reached a population with higher cell phone ownership and TM usage; with greater interest in a TM intervention compared to the cancer clinics.

Proof of Concept of a Mobile Health Short Message Service Text Message Intervention That Promotes Adherence to Oral Anticancer Agent Medications: A Randomized Controlled Trial.

INTRODUCTION: This multisite, randomized controlled trial assigned 75 adult cancer patients prescribed an oral anticancer agent to either an experimental group that received daily text messages for adherence for 21 days plus usual care or a control group that received usual care. MATERIALS AND METHODS: Measures were administered at baseline, weekly (Weeks 1-8), and at exit (Week 9). A satisfaction survey was conducted following the intervention. Acceptability, feasibility, and satisfaction were examined. Primary outcomes were adherence and symptoms. Secondary outcomes were depressive symptoms, self-efficacy, cognition, physical function, and social support. Mixed or general linear models were used for the analyses comparing trial groups. Effect sizes (ES) were estimated to gauge clinical significance. RESULTS: Regarding acceptability, 57.2% (83 of 145) of eligible patients consented, 88% (n = 37 of 42) receiving text messages read them most or all of the time, and 90% (n = 38) were satisfied. The differences between experimental and control groups' ES were 0.29 for adherence, 0.21 for symptom severity, and 0.21 for symptom interference, and differences were not statistically significant. Furthermore, perceived social support was higher (p = 0.04; ES = 0.54) in the experimental group. CONCLUSIONS: Proof of concept and preliminary efficacy of a mobile health intervention using text messages to promote adherence for patients prescribed oral anticancer agents were demonstrated. Patients accepted and had high satisfaction with the intervention, and adherence improved after the intervention. Text messages show promise. Additional research is needed prior to use in practice.

A randomized controlled trial of the feasibility and preliminary efficacy of a texting intervention on medication adherence in adults prescribed oral anti-cancer agents: study protocol.

AIM: The aim of this study was to report a study protocol that examines feasibility, preliminary efficacy and satisfaction of a text message intervention on the outcome of medication adherence in adult patients prescribed oral anti-cancer agents. BACKGROUND: Administration of oral anti-cancer agents occurs in the home setting, requiring patients to self-manage the regimen as prescribed. However, many barriers to medication adherence exist: regimens are often complex, with cycling of two or more medications; side effects of treatment; most cancer patients are older with comorbid conditions and competing demands; and cognitive decline and forgetfulness may occur. Research indicates patients miss nearly one-third of the prescribed oral anti-cancer agent dosages. Text message interventions have been shown to improve medication adherence in chronic conditions other than cancer. However, a majority of those patients were less than 50 years of age and most cancer patients are diagnosed later in life. DESIGN: A two-group randomized controlled trial with repeated measures. METHODS: Seventy-five adult patients newly prescribed an oral anti-cancer agent will be recruited (project funded in April 2013) from community cancer centres and a specialty pharmacy. Participants will be randomized to either a control group (n = 25; usual care) or an intervention group (n = 50; usual care plus text messages timed to medication regimen). Outcome measures include: medication adherence, feasibility and satisfaction with the intervention. Data will be collected over 8 weeks: baseline, weekly and exit. DISCUSSION: Standardized text message intervention protocol and detailed study procedures have been developed in this study to improve medication adherence.

Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States.

Coronavirus disease 2019 (COVID-19) continues to affect the world, and the design of strategies to curb disease outbreaks requires close monitoring of their trajectories. We present machine learning methods that leverage internet-based digital traces to anticipate sharp increases in COVID-19 activity in U.S. counties. In a complementary direction to the efforts led by the Centers for Disease Control and Prevention (CDC), our models are designed to detect the time when an uptrend in COVID-19 activity will occur. Motivated by the need for finer spatial resolution epidemiological insights, we build upon previous efforts conceived at the state level. Our methods-tested in an out-of-sample manner, as events were unfolding, in 97 counties representative of multiple population sizes across the United States-frequently anticipated increases in COVID-19 activity 1 to 6 weeks before local outbreaks, defined when the effective reproduction number Rt becomes larger than 1 for a period of 2 weeks.

A Bayesian group lasso classification for ADNI volumetrics data.

The primary objective of this paper is to develop a statistically valid classification procedure for analyzing brain image volumetrics data obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) in elderly subjects with cognitive impairments. The Bayesian group lasso method thereby proposed for logistic regression efficiently selects an optimal model with the use of a spike and slab type prior. This method selects groups of attributes of a brain subregion encouraged by the group lasso penalty. We conduct simulation studies for high- and low-dimensional scenarios where our method is always able to select the true parameters that are truly predictive among a large number of parameters. The method is then applied on dichotomous response ADNI data which selects predictive atrophied brain regions and classifies Alzheimer's disease patients from healthy controls. Our analysis is able to give an accuracy rate of 80% for classifying Alzheimer's disease. The suggested method selects 29 brain subregions. The medical literature indicates that all these regions are associated with Alzheimer's patients. The Bayesian method of model selection further helps selecting only the subregions that are statistically significant, thus obtaining an optimal model.

An Automated Intervention Did Not Improve Adherence to Oral Oncolytic Agents While Managing Symptoms: Results From a Two-Arm Randomized Controlled Trial.

CONTEXT: An increasing number of oral cancer treatments require patient adherence and symptom self-management. OBJECTIVES: The report presents the effects of a medication reminder and symptom management intervention directed at patients initiating new oral oncolytic agents. METHODS: Patients (N = 272) were recruited at six comprehensive cancer centers, interviewed over the telephone after oral agent initiation, and randomized to either standard care or a medication reminder and symptom management intervention. In the intervention arm, the automated system called patients daily to remind them about taking their medications and weekly to assess 18 symptoms and refer patients to a printed Medication Management and Symptom Management Toolkit. Severity of 18 symptoms was also assessed during telephone interviews at Week 4 (midintervention), Week 8 (postintervention), and Week 12 (follow-up). Adherence was measured using the relative dose intensity, the ratio of dose taken by patient out of dose prescribed by the oncologist, and assessed using pill counts at Weeks 4, 8, and 12 and prescribing information from medical records. RESULTS: The relative dose intensity was high and did not differ by trial arm. Symptom severity was significantly lower (P < 0.01) in the experimental arm at Week 8 but not at Weeks 4 or 12. CONCLUSION: Adherence may be less of a problem than originally anticipated, and intervention was not efficacious possibly because of already high rates of patient adherence to oral oncolytic medication during first 12 weeks. Longer follow-up in future research may identify subgroups of patients who need interventions to sustain adherence.

Oral Anticancer Agents: An Intervention to Promote Medication Adherence and Symptom Management
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Symptom burden and poor adherence to oral anticancer agents remain significant clinical problems. This study examined feasibility, preliminary efficacy, and satisfaction with ADHERE, a nurse practitioner intervention that promotes symptom management and adherence among patients prescribed oral agents. The intervention group (which received one semistructured, face-to-face session followed by three weekly telephone sessions using motivational interviewing, brief cognitive-behavioral therapy, and a toolkit to promote self-management) had significantly lower symptom severity postintervention. Self-reported adherence was high and did not differ by group. Patients reported being highly satisfied with the ADHERE intervention.
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Treatment with oral anticancer agents: symptom severity and attribution, and interference with comorbidity management.

PURPOSE/OBJECTIVES: To evaluate the prevalence, severity, and attribution of symptoms, as well as the interference with management of comorbidities, in patients who have been prescribed oral anticancer agents (OAs). DESIGN: Descriptive exploratory study. SETTING: A comprehensive cancer center and two community-based oncology programs in the midwestern United States. SAMPLE: 30 adults undergoing OA treatment. METHODS: Five phone interviews were conducted during eight weeks. Linear mixed effects and generalized estimating equations were used to examine symptoms and interference over time. MAIN RESEARCH VARIABLES: Symptoms and comorbid conditions. FINDINGS: The mean age of participants was 65.1 years. Fifteen participants were female, 25 were Caucasian, and 23 had comorbidities. Twenty-one patients had late-stage cancer, and rates of adherence were 90%. Fatigue, sleep disturbance, and numbness or tingling in hands and feet were highly prevalent symptoms. Younger age was associated with higher symptom severity (p < 0.01) and interference (p = 0.01). Patients with more comorbidities tended to report higher symptom severity. Simultaneous IV chemotherapy was not a predictor of symptom severity or interference over age and comorbidity. Symptoms were most frequently attributed to cancer and its treatment. Patients with a greater number of comorbidities were more likely to include comorbidities in symptom attribution and reported interference from the OA with managing comorbid conditions. CONCLUSIONS: Symptoms may be more severe in patients prescribed OAs who are younger and have comorbid conditions. More comorbidities and absence of simultaneous IV chemotherapy increased the likelihood of inclusion of chronic conditions in symptom attribution. Patients reported that OA treatment interfered with comorbidity management. IMPLICATIONS FOR NURSING: Nurses need to take comorbidities into account when caring for patients prescribed OAs because the chronic conditions may influence symptom severity and the ability to manage symptoms.

Feasibility of a Text Messaging Intervention to Promote Self-Management for Patients Prescribed Oral Anticancer Agents.

PURPOSE/OBJECTIVES: To determine proof of concept of a mobile health (mHealth) intervention delivering text messages (texts) to self-manage among patients prescribed oral anticancer agents (OAs) and to examine preliminary efficacy on symptoms and medication adherence. DESIGN: A longitudinal randomized, controlled trial. SETTING: Two community cancer centers in the midwestern United States and a national specialty pharmacy. SAMPLE: 80 adults with cancer who were newly prescribed OAs
. METHODS: Adherence and symptoms were assessed weekly for 10 weeks in both groups. The intervention group received daily texts for adherence and weekly for symptoms for 21-28 days, and satisfaction with the intervention was assessed
. MAIN RESEARCH VARIABLES: Medication adherence and symptom severity. FINDINGS: Mean age was 58.5 years (SD = 10.7 years), 48 participants were female, and 48 were Caucasian. Fewer symptoms were found in the intervention group with a moderate effect size. Adherence was higher in the text group using medical record and prescription data (n = 26) with greater relative dose intensity of moderate to large effect size. Regarding acceptability, 57% (83 of 145) of eligible participants consented, 39 of 40 participants completed the entire intervention, 30 participants read texts all of the time, and 34 participants were satisfied with the intervention.
 CONCLUSIONS: Proof of concept and preliminary efficacy of an mHealth intervention using texts to promote self-management for patients prescribed OAs was demonstrated. Patients had high satisfaction with the texts, and adherence and symptoms improved after the intervention. IMPLICATIONS FOR NURSING: Texts show promise for patients with cancer who must manage their OAs. Additional research is needed prior to use in practice.