Self-report Research Articles

Comparing pill counts and patient self-reports versus DBS tenofovir concentrations as ART adherence measurements with virologic outcomes and HIV drug resistance in a cohort of adolescents and young adults failing ART in Harare, Zimbabwe

BackgroundMonitoring adherence presents a challenge in adolescents and it is prudent to explore several options for determining their level of adherence. This study sought to determine ART adherence levels in adolescents and young adults (on a tenofovir-containing regimen) failing ART as measured by self-reports, pill counts and DBS tenofovir concentrations and to compare levels of agreement among the methods and determine the ability of each method to predict virological suppression. MethodsThis was a cohort study involving 107 adolescents and young adults between 10 and 24 years failing ART with viral load > 400copies/ml at enrolment. Pill count (PC) records, self-reports (SR) and DBS tenofovir concentrations (done by liquid Chromatography with tandem mass spectrometry (LC-MS/MS)) were used to determine adherence in adolescent participants failing ART in Harare. The latter was used as the reference method with a cut-off of 64 ng/ml. Determination of DBS tenofovir concentrations was also performed to rule out inadequate viral response due to low cumulative drug exposure despite high adherence (≥90 %). Longitudinal analysis was performed to determine the correlation of viral loads (VL) with adherence. The Kappa (k) coefficient was used to evaluate the level of agreement among the 3 methods. ResultsPoor level of agreement was found between PC records and DBS tenofovir concentrations (k = −0.115). Moderate agreement was found between DBS and SR methods (k = 0.0557). Slight agreement was found between PC and SR methods (k = 0.0078). Adherence was dependent on age at HIV diagnosis (p = 0.0184) and ART initiation (p = 0.0265). Participants who were adherent were six times more likely to be suppressed at end point than their non-adherent counterparts (OR=5.7 CI 2.1 – 16.5, p < 0.0001). ConclusionsSelf-reported measure of adherence and pill counts exhibited poor agreement with the reference method used i.e. DBS tenofovir concentrations and are thus not effective methods of predicting virological suppression. Trial identificationParticipants in the present study were a subset of those in the PESU intervention ClinicalTrials.gov Identifier: NCT02833441

Self-reported and parent-reported mental health in children from low-income families in Agder, Norway: results from baseline measurements of New Patterns project participants

BackgroundPoverty may pose risks to child and adolescent mental health, but few studies have reported on this association among children and adolescents in low-income families in Norway.MethodsBased on a sample...

Comparison of secondhand smoking exposure between self-report and creatinine-corrected urine cotinine: Result from Korean NHANES 2009–2018

Second-hand smoking (SHS) is usually examined by self-report (SR). However, there is a possibility that SR may not accurately measure SHS exposure. This study aimed to identify yearly trends and gender differences in SHS by SR and cotinine. We used data from the 2009-2018 Korea National Health and Nutrition Examination Survey (KNHANES) and included adults aged 19 years and older. We analyzed data of 47,907 respondents on SHS exposures in the past week and of 23,572 respondents who had both urine cotinine and creatinine measurements. SHS exposure was defined as those who answered 'yes' to whether or not they were exposed to smoking by SR. We performed descriptive analysis, Average annual percentage change (AAPC), and multiple regression analysis. All analyses were weighted reflecting the multi-stratified cluster sampling. Exposure to SHS indoors at the work place (WSHS) (2009: 44.8%, 2018: 12.3%), indoors at home (HSHS) (2009: 14.1%, 2018: 3.9%), and indoors at public places (PSHS) (2013: 55.6%, 2018: 15.4%) decreased steadily over the years. WSHS and PSHS exposure was higher for males but HSHS was higher for females. However, the concentration of cotinine-to-creatinine ratio (Co/Cr) was higher among females regardless of SHS exposure status and environment. Multiple regression analysis showed that among males, the association between Co/Cr education level and WSHS was the strongest, and among females, the association was the strongest with HSHS. In addition, home exposure to SHS intensified the differences in Co/Cr levels between males and females. Our study confirmed that cotinine-induced SHS showed different results by year and gender compared to SR. In particular, Co/Cr level in females was higher than in males regardless of exposure by SR, suggesting that SR did not correctly evaluate SHS. To reflect reality more accurately, biomarkers should be monitored along with SR.

Verifying the Japanese version of the Healthy Aging Brain Care Monitor self-report tool for evaluating post–intensive care syndrome

BackgroundPost–intensive care syndrome (PICS) requires the use of multiple assessment tools because it affects multiple domains: Cognitive, Functional, and Behavioural/Psychological. Therefore, this study translated the self-report (SR) version of the Healthy Aging Brain Care Monitor (HABC-M), spanning multiple domains, into Japanese and analysed its reliability and validity in a post–intensive care setting. MethodsPatients aged 20 years or older and admitted to the adult intensive care unit from August 2019 to January 2021 were included and surveyed by questionnaire. The 21-item Dementia Assessment Sheet for the Regional Comprehensive Care System was used to validate cognitive and physical aspects, and the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7, and the Post Traumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders 5th edition were used to validate emotional aspects. Reliability was assessed by Cronbach's alpha, and congruent validity by correlation analysis. Multivariate linear regression models were used to identify potential factors for PICS. ResultsA total of 104 patients (mean age: 64 ± 14 years) with 3 median mechanical ventilation days (interquartile range: 2–5) were enrolled. The Cognitive domain of the HABC-M SR was highly correlated with memory and disorientation (r = 0.77 for each), while the Functional domain was highly correlated with Instrumental Activities of Daily Living Scale (r = 0.75–0.79). The Behavioural/Psychological domain highly correlated with the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and Post Traumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders 5th edition (r = 0.75–0.76). Multivariate analysis revealed longer ICU stays associated with lower Cognitive and Functional (p = 0.03 for each) domains and longer mechanical ventilation days with a lower Behavioural/Psychological domain (p < 0.01). ConclusionThe translated Japanese HABC-M SR showed high validity for assessment of the Cognitive, Functional, and Behavioural/Psychological domains of PICS. Therefore, we recommend that the Japanese version of the HABC-M SR be routinely used in the assessment of PICS.

Concordance assessment through comparison with urine cotinine: Does self-report adequately reflect passive smoking?

There is a paucity of studies evaluating passive smoking (PS) by comparing self-report (SR) and biomarkers. Our study aimed to confirm whether SR could accurately reflect PS compared to biomarkers, a golden standard for assessing the exposure of non-smokers. We used the 2014-2020 Korea National Health and Nutrition Examination Survey data and selected 29622 non-smokers aged >19 years as the study participants. The PS rate by SR was assessed during the last 7 days, and participants were interviewed to investigate their exposure at home, work, indoors, and in public places. In addition, participants having a limit of detection ≥0.5 ng/mL in urine cotinine (UC) was defined as the exposure group. All analyses reflected the weights of complex sampling. We first compared the rates of PS using biomarkers and SR, and then the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated based on biomarkers. PS exposure by UC was the highest (44.4%), and the exposure by SR was significantly lower (5.1-29.5%). Kappa and sensitivity in PS in the indoor home (HPS) were lower than those in indoor workplaces (WPS) and indoor public places (PPS). Moreover, overall sensitivity and PPV were lower, and specificity and NPV were relatively higher in accuracy. Lastly, the sensitivity was poor, and the specificity was relatively good, which means that measurement by SR would identify people who were actually exposed to PS as non-exposed. Despite exposure to PS, the use of the SR method is more likely to classify participants in the non-exposed group. Hence, to overcome measurement error in SR and reflect exposure in any place and setting, biomonitoring and SR should be performed.

Monitoring adherence to antiretroviral therapy among adolescents in Southern Uganda: comparing Wisepill to Self-report in predicting viral suppression in a cluster-randomized trial.

IntroductionOptimal antiretroviral therapy (ART) adherence is crucial for improved patient outcomes; however, ART adherence among adolescents living with HIV (ALHIV) is low. Also, the performance of various adherence measures among ALHIV is under contention. We monitored ART adherence and compared Self‐report (SR) and Wisepill electronic monitoring (EM) performance in measuring ART adherence and predicting HIV viral suppression among ALHIV.MethodsBetween January 2014 and December 2015, we recruited 702 ALHIV aged 10–16 years into our cluster‐randomized controlled trial (2012–2018) in 39 clinics in Uganda. The intervention included a long‐term savings child development account, four micro‐enterprise workshops and 12 mentorship sessions. Using the entire sample, we performed multilevel logistic regression to predict monthly ART adherence trends for the first year of follow‐up. Since it is possible that the intervention had different effects on SR and EM adherence, we used participants in the control arm only to compare adherence using SR and EM and to calculate their sensitivity and specificity in predicting viral suppression.ResultsThere was a significant decline in adherence for each month throughout the entire follow‐up period regardless of the group assigned. Good ART adherence was measured at 79.2% (75.2–82.6%) and 97.0% (95.4–98.1%) using EM and SR, respectively. Overall, 64.3% (60.6–67.9%) had suppressed viral loads. The specificities for EM and SR in predicting viral non‐suppression were 80.4% (73.6–85.7%) and 96.7% (93.3–98.4%), while the sensitivities were 22.9% (15.0–33.3%) and 1.8% (0.4–6.9%), respectively. The area under the curve was low for both EM and SR, at 53.6% (45.7–61.5%) and 56.2% (53.2–59.3%), respectively. There was high agreement (78%) between SR and EM in monitoring adherence.ConclusionsOur findings highlighted the need for strategies for sustained optimal adherence. SR and EM measure adherence with a considerable agreement; however, neither is an accurate predictor of virological outcome. There is still a need for an acceptable, feasible and affordable method that predicts viral suppression among ALHIV.

Methodological considerations on estimating medication adherence from self-report, electronic monitoring and electronic healthcare databases using the TEOS framework.

Measuring adherence to medication is complex due to the diversity of contexts in which medications are prescribed, dispensed and used. The Timelines-Events-Objectives-Sources (TEOS) framework outlined a process to operationalize adherence. We aimed to develop practical recommendations for quantification of medication adherence using self-report (SR), electronic monitoring (EM) and electronic healthcare databases (EHD) consistent with the TEOS framework for adherence operationalization. An adherence methodology working group of the International Society for Medication Adherence (ESPACOMP) analysed implications of the process of medication adherence for all data sources and discussed considerations specific to SR, EM and EHD regarding the information available on the prescribing, dispensing, recommended and actual use timelines, the four events relevant for distinguishing the adherence phases, the study objectives commonly addressed with each type of data, and the potential sources of measurement error and quality criteria applicable. Four key implications for medication adherence measurement are common to all data sources: adherence is a comparison between two series of events (recommended and actual use); it refers to one or more specific medication(s); it applies to regular repeated events coinciding with known recommended dosing; and it requires separate measurement of the three adherence phases for a complete picture of patients' adherence. We propose recommendations deriving from these statements, and aspects to be considered in study design when measuring adherence with SR, EM and EHD using the TEOS framework. The quality of medication adherence estimates is the result of several design choices that may optimize the data available.

Memory complaints moderate the concordance between self-report and electronically monitored adherence in adults with type 2 diabetes

AimsWe examined the impact of memory complaints on the concordance between self-report (SR) and electronically monitored (EM) medication adherence, independent of depression symptoms, among adults with type 2 diabetes (T2D). MethodsAdults (N = 104, age = 56.6 ± 9.2; 64% female) completed a prospective and retrospective memory questionnaire (PRMQ) and a depression symptom interview at baseline. EM was tracked over 3 months and participants rated adherence using SR. Multiple linear regression evaluated PRMQ as a moderator of the relationship between EM and SR, adjusting for depression and other covariates. ResultsPRMQ was correlated with lower SR (r = −0.31, p = 0.001), but not with EM. PRMQ moderated the relationship between SR and EM, independent of depression symptoms. At low levels of PRMQ, SR and EM were closely related (β = 0.76, p < 0.001); at high levels of PRMQ the relationship was weaker (β = 0.28, p = 0.02). Participants who under-reported their adherence (SR < EM) had higher PRMQ scores than more concordant reporters (p = 0.016). ConclusionsSR and EM measures were less concordant among adults with T2D who endorsed higher PRMQ scores. Memory complaints may contribute to under-reporting of medication adherence in adults with T2D.

Free Papers Compiled

BACKGROUND:Emotional intelligence and coping strategies play crucial roles in mental health, the study of relationship between these two variables as important factors influencing doctors mental health can be of great help in achieving broader models in order to explain them.AIM:To access emotional intelligence and its relation to coping style by comparing first year undergraduate medical students with interns.MATERALS AND METHODS:cross sectional study in a tertiary care hospital and medical college by calculating sample size using epi info software .Total 300 students enrolled in this study , duration: 6 months. MENTAL HEALTH SCREENING FORM 3,THE SCHUTTE SELF REPORT EMOTIONAL INTELLIGENCE TEST (SSEIT) ,THE COPING SELF EFFICACY SCALE (CSES) used.RESULT:When CSES Score of students and interns are compared, there is statistically significant difference observed between 2 groups , p value = 0.001. When SSEIT Score of students and interns are compared, there is statistically significant difference observed between 2 groups, p value < 0.001. There is positive correlation found between CSES and SSEIT scores in students , p value<0.001. There is correlation found between CSES and SSEIT scores in interns, p value < 0.001.CONCLUSION:For an effective clinical practice medical professionals need to have high emotional intelligence in addition high IQ. It is desirable to incorporate EQ into medical teaching curriculum in India to this need as a benchmark.

Psychosocial and Behavioral Factors in Awake Bruxism-Self-Report versus Ecological Momentary Assessment.

The issue of psychosocial factors and concurrent conditions associated with AB is a relatively new approach in the study of Awake Bruxism (AB). In the present study a population of 84 dental students were assessed for probable AB with two modes of AB assessment: Single point self-report (SR) and ecological momentary assessment through a designated smartphone application (BA). The two assessment modes were compared with regard to their ability to phenotype subjects as far as the following psychosocial and behavioral variables are concerned: Gender; depression; somatization; oral behaviors; chronic pain and associated pain symptoms in the head, neck and scapula. Two-way ANOVA showed main effect of SR for the following variables: Chronic Pain Intensity score (F(1,49) = 6.441, p < 0.02), migraine/headache (F(1,81) = 7.396, p < 0.01), pain in neck (F(1,81) = 6.726, p < 0.05), pain in scapula (F(1,81) = 8.546, p < 0.005) and the oral behaviors of pushing the tongue forcefully against the teeth (F(1,81) = 5.222, p < 0.05) and inserting the tongue between the upper and lower teeth (F(1,81) = 5.344, p < 0.03). The effect of SR on the habit of chewing gum was borderline (F(1,81) = 3.369, p = 0.07). Main effect of BA was found for depression (F(1,81) = 6.049, p < 0.05), while the effect of BA on somatization was borderline (F(1,81) = 3.657, p = 0.059). An interaction between SR and BA groups could be observed for the behavior of biting, chewing or playing with the tongue, cheeks or lips (F(1,81) = 4.117, p < 0.05). The results suggest that a combination of a single-point self-report referring to the past 30 days, and an ecological momentary assessment supplying information about the actual timing of the report, can help us to better assess AB, as well as increase our ability to define the phenotype of subjects with AB as far as psychosocial and behavioral factors are concerned.

P12 Factores de riesgo para diabetes mellitus tipo 2. ¿En qué grupo etario buscarlos?

Introducción: la diabetes tipo 2 (DM2) es una patología que se desarrolla progresivamente ante la presencia de factores de riesgo (FR) predisponentes y que deberían identificarse previo a su diagnóstico.Objetivos: detectar e identificar los FR para DM2 en población adulta de la provincia de Neuquén a fin de realizar prevención primaria para DM2.Materiales y métodos: estudio descriptivo de 1.232 encuestas anónimas realizadas en la provincia de Neuquén entre 2017 y 2018, dirigidas a adultos ≥20 años sin diagnóstico conocido de DM2, en 10 ciudades del territorio neuquino. Las mismas fueron contestadas por autorreporte (AR) o por encuestador (ENC) adiestrado a tal efecto y que realizaron medidas antropométricas. Se dispusieron encuestas con urnas en reparticiones municipales, provinciales, privadas, escuelas, farmacias y salas de espera de centros asistenciales.La misma se basó en la encuesta FINDRISC original que estima el riesgo de desarrollar DM2 en los siguientes 10 años. También se incluyeron 4 (cuatro) preguntas adicionales, sin puntaje. Todas las encuestas fueron remitidas a un mismo lugar para su análisis estadístico.Variables originales FINDRISC: Sexo: femenino (F) y masculino (M). Grupo etario (GE): &lt;45, 45-54, 55-64, &gt;65 años, puntaje (P) 0-2-3-4. Índice de masa corporal (IMC): &lt;25, 25-30, &gt;30 P 0-1-4. Circunferencia de cintura (CC) P: 0-3-4 sexo F: &lt;80, 80-88, &gt;88 cm, sexo M: &lt;94, 94-102, &gt;102 cm. Actividad física (AF) 30 minutos/día SÍ/NO, P 0-2. Consumo de vegetales/frutas (VyF) SÍ/NO con P 0-2. Antecedente de Azúcar elevada en Sangre (AGluc) NO/SÍ P 0-5. Antecedente Familiar con DM 1 ó 2 (AFDM): NO, familiar en 2° ó en 1°, con P 0-3-5. HTA: NO/SI.Categorías de riesgo del FINDRISC (R): Bajo (RB) &lt;7 P, ligeramente elevado (RLE) 7-11 P, moderado (RM) 12-14 P, alto (RA) 15-20 P, muy alto (RMA) &gt;20 P.Variables agregadas, sin puntaje: tabaquismo (Tab), colesterol elevado (Col), hijo nacido de ≥4 Kg de peso (RNAP) y familiar con ACV/IAM (FECV), respuestas: NO/SÍ.La encuesta incluye un troquel que la persona debía conservar y donde se lo invita a hacer consulta médica en caso de tener P ≥15. La encuesta en sí debía ser depositada en la urna.

Gender, the gender gap, and their interaction; analysis of relationships with children's mental health problems.

The present study seeks to examine gender differences in internalizing and externalizing problems either parent/teacher or self-reported and to investigate the influence of country-level gender gap on children's mental health problems across countries with high and low gender gap across Europe. The School Children's Mental Health in Europe (SCMHE) survey collected data on primary school children living in six European countries, using self-reports (SR) from children (Dominic Interactive), as well as combination of parent- and teacherreports (P/T C) (Strengths and Difficulties Questionnaire) to assess internalizing and externalizing mental health problems. The World Economic Forum's (WEF's) Global Gender Gap report's Gender Gap Index (GGI) was used to categorize countries with high and low gender gap. Boys had greater odds of externalizing problems (OR = 2.6 P/T C, 1.95 SR), and lower odds of internalizing problems (OR = 0.85 P/T C, 0.63 SR). The gender gap's association with mental health problems was different depending on the informant used to identify these problems. A small gap was a risk factor based on reports from adults for externalizing (OR = 1.53) and internalizing problems (OR = 1.42) while it was a protective factor for SR internalizing problems (OR = 0.72). For these problems the gender gap impacted boys and girls differently: a small gender gap was protective for boys but not for girls, including when controlling for key confounding variables. The differential impact of country-level gender gap observed between self-reported and parent- or teacher-reported mental health is complex but nevertheless present trough mechanisms that are worthwhile to study in depth, with a special attention to the informants and the type of problems examined.

Problematic internet use in children and adolescents: associations with psychiatric disorders and impairment

BackgroundProblematic internet use (PIU) is an increasingly worrisome issue, as youth population studies are establishing links with internalizing and externalizing problems. There is a need for a better understanding of psychiatric diagnostic profiles associated with this issue, as well as its unique contributions to impairment. Here, we leveraged the ongoing, large-scale Child Mind Institute Healthy Brain Network, a transdiagnostic self-referred, community sample of children and adolescents (ages 5–21), to examine the associations between PIU and psychopathology, general impairment, physical health and sleep disturbances.MethodsA total sample of 564 (190 female) participants between the ages of 7–15 (mean = 10.80, SD = 2.16), along with their parents/guardians, completed diagnostic interviews with clinicians, answered a wide range of self-report (SR) and parent-report (PR) questionnaires, including the Internet Addiction Test (IAT) and underwent physical testing as part of the Healthy Brain Network protocol.ResultsPIU was positively associated with depressive disorders (SR: aOR = 2.43, CI: 1.22–4.74, p = .01; PR: aOR = 2.56, CI: 1.31–5.05, p = .01), the combined presentation of ADHD (SR: aOR = 1.91, CI: 1.14–3.22, p = .01; PR: n.s.), Autism Spectrum Disorder (SR: n.s.; PR: aOR = 2.24, CI: 1.34–3.73, p < .001), greater levels of impairment (SR: Standardized Beta = 4.63, CI: 3.06–6.20, p < .001; PR: Standardized Beta = 5.05, CI: 3.67–6.42, p < .001) and increased sleep disturbances (SR: Standardized Beta = 3.15, CI: 0.71–5.59, p = .01; PR: Standardized Beta = 3.55, CI: 1.34–5.75, p < .001), even when accounting for demographic covariates and psychiatric comorbidity.ConclusionsThe association between PIU and psychopathology, as well as its impact on impairment and sleep disturbances, highlight the urgent need to gain an understanding of mechanisms in order to inform public health recommendations on internet use in U.S. youth.

Accuracy and concordance of measurement methods to assess non-adherence after renal transplantation - a prospective study

BackgroundNon-adherence (NA) to immunosuppressants (IS) among renal transplant recipients (RTRs) is associated with higher risk of allograft rejection, graft loss, and mortality. A precise measurement of NA is indispensable, although its prevalence differs greatly depending on the respective measurement methods. The objective of this study was to assess the accuracy and concordance of different measurement methods of NA in patients after renal transplantation.Design and methodsThis was a single-center prospective observational study. At baseline (T0), NA was measured via physicians’ estimates (PE), self-reports (SR), and tacrolimus trough level variability (CV%) in 78 RTRs. A Visual Analogue Scale (VAS, 0–100%) was applied both for SR and PE. In addition, we used BAASIS© for SR and a 5-point Likert scale for PE. NA was measured prospectively via electronic monitoring (EM, VAICA©) during a three month period. Meanwhile, all participants received phone calls in a two week interval (T1-T6) during which SRs were given.ResultsSeventy-eight RTRs participated in our study. At t0, NA rates of 6.4%, 28.6%, and 15.4% were found for PE, SR, and CV%, respectively. No correlation was found between these methods. During the study, the percentages of self-reported and electronically monitored adherence remained high, with a minimum mean of 91.2% for the strictest adherence measure (Timing Adherence ±30 min). Our results revealed a moderate to high association between SR and EM. In contrast to PE and CV%, SR significantly predicted electronically monitored adherence. Overall, a decreasing effect of electronically monitored adherence was found for both taking and timing adherence (±2 h, ±30 min) over the course of the study.DiscussionThe moderate to high concordance of SR and EM suggests that both methods measure NA equally accurately. SR seems to be a method that can adequately depict electronically monitored NA and may represent a good and economical instrument to assess NA in clinical practice. The increased adherence at the beginning of the study and its subsequent decrease suggests an intervention effect. Surveillance of IS intake via EM with intermittent phone calls could improve adherence on a short-term basis. To establish long-term effects, further research is necessary.

Preliminary Effects of a Mobile Interactive Supervised Therapy Intervention on People Living With HIV: Pilot Randomized Controlled Trial.

BackgroundAs people living with HIV infection require lifelong treatment, nonadherence to medication will reduce their chance of maintaining viral suppression and increase the risk of developing drug resistance and HIV transmission.ObjectiveThis study aimed to evaluate the efficacy of a mobile app, Mobile Interactive Supervised Therapy (MIST), for improving adherence to oral HIV medications among HIV-infected adults in Singapore.MethodsWe conducted a two-group pilot randomized controlled trial (RCT) with a process evaluation, in which 40 HIV-infected participants with once-daily medication regimes were recruited from a public tertiary hospital in Singapore and randomly assigned equally to either the intervention (receiving MIST and routine care) or control (receiving routine care only) groups. The intervention lasted for 2 months. The outcome of antiretroviral therapy (ART) adherence was measured by a 7-day recall self-report (SR), pill count (PC), an electronic medical device—Medication Event Monitoring System (MEMS)—and a mobile app—MIST (for the intervention group only). In total, 20 participants from the intervention group were interviewed at the end of the intervention to assess the acceptability of MIST. Data were collected at baseline and at 1-month and 2-month postintervention.ResultsAll participants had excellent medication adherence at baseline (median 100, IQR 100-100). The use of MIST did not result in a significant improvement in ART adherence when measured by the SR, PC, and MEMS, as compared with the control group at 1-month (P values >.99, .86, and .74, respectively) and 2-month (P values=.80, .84, and .82, respectively) postintervention. ART adherence also did not improve in each group over the same period. MIST was perceived to be a beneficial tool based on the process evaluation results.ConclusionsAlthough MIST did not enhance medication adherence to HIV treatments, mainly owing to the ceiling effect, it was perceived to be beneficial among the participants of this study. Our process evaluation provided useful data to further develop MIST for bigger and long-term mobile phone app–assisted intervention RCTs in the future.Trial RegistrationClinicalTrials.gov NCT03794648; https://clinicaltrials.gov/ct2/show/NCT03794648

The accuracy of self-report versus objective assessment for estimating socioeconomic inequalities in disease prevalence in Indonesia

ObjectivesTo estimate socioeconomic inequalities in hypertension and asthma prevalence in Indonesia, to compare estimates based on self-report (SR) to those based on objective assessment (OA), and to assess the role of sensitivity and specificity of SR.MethodsWe used data from the 2014 Indonesia Family Life Survey (n = 34,257). We measured inequalities in hypertension and asthma prevalence in relation to educational level and income, using standardised prevalence rate and the relative index of inequality (RII). Using OA as standard, we calculated the sensitivity and specificity of SR.ResultsFor hypertension, reversed inequalities were found when estimated by SR instead of OA (RII for education 0.86, 95% CI 0.74–0.99 vs. RII 1.29, 95% CI 1.16–1.44). For asthma, a similar but even larger reversal of inequalities was found. The sensitivity of SR was low overall, and especially for the lowest education or income group.ConclusionsResults imply that the use of SR may lead to underestimation of socioeconomic inequalities in disease prevalence in a low-income country such as Indonesia. The use of OA is recommended for monitoring inequalities in non-communicable disease prevalence.

Who is the bigger stigmatizor?: The loved one or the society

ObjectiveEpilepsy has long been considered by the society as a dangerous and frightening spiritual possession or even a contagious disease. This results in an unavoidable embarrassment for both the patient and the family leading to social isolation, seclusion, and secretiveness about the diagnosis. The aim of this study was to determine the stigmatizing level of the general Turkish population and to compare these results with the stigmatizing level of the patients' relatives group (PRG). MethodsThis is a substudy of our main study which aimed to develop two scales for the quantification of the stigma level in patients with epilepsy (PWE) and their relatives [Stigma Scale for Epilepsy (SSE) -Self Report (SR) and -Informant Report (IR)]. First-degree relatives of the patients had been included in the main study. For the present study, 202 healthy people who were caregivers and relatives of neurologic patients other than epilepsy were recruited for the control group (CG). A sociodemographic and clinical data form and SSE-IR scale were administered to the CG as well. The relationship between sociodemographic characteristics and SSE-IR scores was evaluated, and a regression analysis was performed in order to analyze sociodemographic factors contributing to SSE-IR scores. Stigmatizing levels were compared between PRG and CG. Statistical analysis was performed using Statistical Package for the Social Sciences version 22.0 software. ResultsComparison of stigma scores among different sociodemographic strata of the CG showed that there was a statistically significant difference in terms of educational status and occupation (p < 0.01). Multivariate linear regression analysis revealed that education accounted for 10.8% and 8.9% of the variance in the SSE-IR scale respectively in the PRG and the CG. Prejudgment scores and total scores of the PRG were significantly higher than those of the CG. There was no statistically significant difference between two groups in terms of discrimination and false beliefs subscales scores. The proportion of highly stigmatizor participants in the PRG was statistically significantly higher than that of the CG. Discussion/ConclusionsThis study showed us that the stigmatization levels in a group of subjects drawn from general population without acquaintance of epilepsy were lower than the relatives of the patients. This result may be partially explained by the ambivalent attitudes of the relatives, as those high scores may stem from not only enacted but also the felt stigma that they were experiencing themselves. It must be a warning sign for both of all the clinicians treating epilepsy and national association against epilepsy, as well as public health officials to increase efforts for awareness raising.

Measuring Antiretroviral Adherence Among Young People Living with HIV: Observations from a Real-Time Monitoring Device Versus Self-report.

This report compares self-report (SR) antiretroviral (ARV) adherence data to adherence data collected via Wisepill, a real-time electronic monitoring (EM) device, among young people living with HIV (YPLH) in the southern United States. Participants (n = 66; ages 16 to 26) were followed for 14weeks. Descriptive analyses were used to compare SR to EM data. Correlations and a linear regression were conducted to explore factors possibly associated with SR-EM discrepancies. We also examined associations between various levels of SR and EM adherence and viral suppression/non-suppression at 14weeks. Rates of SR adherence were maintained between 87% and 92% while rates of EM adherence declined from 64% to 34%. YPLH who were ARV-experienced, had lower treatment motivation, and reported more frequent recent marijuana use, had a greater discrepancy between their SR and EM adherence levels compared to other YPLH. Higher rates of SR and EM adherence were independently associated with a decline in viral load. A sensitivity analysis also revealed that SR adherence was a better predictor of viral non-suppression, whereas EM adherence was a better predictor of viral suppression. These measurement approaches are discussed in the context of providing clinical care to YPLH.

Structural brain changes versus self-report: machine-learning classification of chronic fatigue syndrome patients.

Chronic fatigue syndrome (CFS) is a disorder associated with fatigue, pain, and structural/functional abnormalities seen during magnetic resonance brain imaging (MRI). Therefore, we evaluated the performance of structural MRI (sMRI) abnormalities in the classification of CFS patients versus healthy controls and compared it to machine learning (ML) classification based upon self-report (SR). Participants included 18 CFS patients and 15 healthy controls (HC). All subjects underwent T1-weighted sMRI and provided visual analogue-scale ratings of fatigue, pain intensity, anxiety, depression, anger, and sleep quality. sMRI data were segmented using FreeSurfer and 61 regions based on functional and structural abnormalities previously reported in patients with CFS. Classification was performed in RapidMiner using a linear support vector machine and bootstrap optimism correction. We compared ML classifiers based on (1) 61 a priori sMRI regional estimates and (2) SR ratings. The sMRI model achieved 79.58% classification accuracy. The SR (accuracy = 95.95%) outperformed both sMRI models. Estimates from multiple brain areas related to cognition, emotion, and memory contributed strongly to group classification. This is the first ML-based group classification of CFS. Our findings suggest that sMRI abnormalities are useful for discriminating CFS patients from HC, but SR ratings remain most effective in classification tasks.

PRINCIPALES MALESTARES BUCODENTALES PROVOCADOS POR CARIES DENTAL EN NIÑOS, DE LA PARROQUIA SUCRE, CUENCA-ECUADOR, 2016

OBJETIVO. El objetivo de esta indagación fue establecer mediante la autopercepción, el impacto que causa la cariesdental sobre los desempeños diarios en niños de 6 años de la parroquia Sucre, Cuenca, Ecuador, 2016. MATERIALESY MÉTODOS: Es un estudio descriptivo retrospectivo donde se utilizaron las fichas epidemiológicas registradas en eldepartamento de investigación de la Universidad Católica de Cuenca, se analizo las fichas correspondientes a la PSCE, 2016,se seleccionó el cuestionario de SELF REPORT CARIES, y se procesaron los datos en el Epi Info. RESULTADOS: Se evaluo177 niños de 6 años divididos en 103 de sexo femenino y 74 sexo masculino, pertenecientes a las escuelas de la parroquiaSucre, en donde se encontró que el impacto de la caries afectó a 152 estudiantes que representan un 86% de la muestra total,90 del sexo femenino y 62 del sexo masculino. Los desempeños más afectados fueron comer 40% y lavarse los dientes 33 %;con respecto a su severidad, “Poco” fue el nivel de impacto reportado en mayor porcentaje. CONCLUSIÓN: Los desempeñosdiarios: comer y cepillarse fueron afectados en cada escolar.