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Mobile Apps for Sexual and Reproductive Health Education: a Systematic Review and Quality Assessment
(2023)
Purpose of Review
The aim of this study was to present the current state of research on mobile health apps for sexual and reproductive health (SRH) education. Apps were analysed based on contents (by using the World Health Organization’s SRH framework), features, intended audiences and quality of evidence (by applying the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach). Taking German sexuality education apps as an example, the rapid development in the field of SRH apps over the last 3 years has been revealed by comparing the quality of apps available in 2019 with apps from 2022.
Recent Findings
SRH apps allow health information to be disseminated quickly, at low thresholds and in a practical and cost-effective manner. Moreover, they allow for anonymous usage independently of time and place. In the absence of network coverage, offline use is also possible. Previous research focused on individual SRH aspects (e.g. human immunodeficiency virus (HIV), contraception). However, some studies were designed to cover a broader range of SRH topics, but identified only a few relevant apps.
Summary
To improve SRH, it would be helpful if the apps would be of high-quality design and be made up of relevant content. Furthermore, they should be tailored to the target group and have been tested in real-life settings. A total of 50 SRH apps with sufficiently high-quality ratings were included. The apps cover a variety of SRH topics, but they often lack field-based evaluation. The effectiveness of SRH apps has not yet been sufficiently studied in a scientific manner. Only 9 apps were deemed to be adequate for a moderate GRADE level. Despite this grading, the study nevertheless shows that there are several apps that could potentially promote SRH.
Purpose
A setting-sensitive instrument for assessing Quality of Life (QoL) in Telemedicine (TM) was unavailable. To close this gap, a content-valid “add-on” measure was developed. In parallel, a brief index was derived featuring six items that summarise the main content of the multidimensional assessment. After pre- and pilot-testing, the psychometric performance of the final measures was investigated in an independent validation study.
Methods
The questionnaires were applied along with other standardised instruments of similar concepts as well as associated, yet disparate concepts for validation purposes. The sample consisted of patients with depression or heart failure, with or without TM (n = 200). Data analyses were aimed at calculating descriptive statistics and testing the psychometric performance on item, scale, and instrument level, including different types of validity and reliability.
Results
The proposed factor structure of the multidimensional Tele-QoL measure has been confirmed. Reliability coefficients for internal consistency, split-half, and test-retest reliability of the subscales and index reached sufficient values. The Tele-QoL subscales and the index demonstrated Rasch scalability. Validity of both instruments can be assumed. Evidence for discriminant construct validity was provided. Known-groups validity was indicated by respective score differences for various classes of disease severity.
Conclusion
Both measures show convincing psychometric properties. The final multidimensional Tele-QoL assessment consists of six outcome scales and two impact scales assessing (un-)intended effects of TM on QoL. In addition, the Tele-QoL index provides a short alternative for outcome assessment. The Tele-QoL measures can be used as complementary modules to existing QoL instruments capturing healthcare-related aspects of QoL from the patients’ perspective.
To a large extent health-related quality of life (HRQoL) is a product of life-course experiences. Therefore, we examined employment, marital, and reproductive life-course typologies as predictors of HRQoL in women and men. To determine life course clusters, sequence and cluster analysis were performed on the annual (waves 1990–2019) employment, marital, and children in household states of the German Socio-Economic Panel data (N = 8,998; age = 53.57, 52.52% female); separately for men and women. Using hierarchical linear regression analyses, and Tukey HSD post-hoc tests, associations between clusters and change in life satisfaction, subjective mental, and physical health were examined. Five life-course clusters were identified in the female and six in the male sample. Life courses differed greatly across gender regarding employment aspects (e.g., men generally work full-time vs. women underwent frequent transitions). The family aspects appeared similar – e.g., ‘starting a family’ or ‘marital separation’ clusters – but still differed in the particulars. Life course typologies were related to distinct patterns of HRQoL. For instance, both for men and women the ‘separated’ clusters, as well as the male ‘entering non-employment’ cluster were associated with a steeper decline in HRQoL. However, change in subjective mental health showed few associations. Distinct types of life courses and differential associations with sociodemographic background and HRQoL emerged for women and men. The analyses reveal a burden on individuals who experienced marital separation, and non-employment and thus present important target groups for health prevention, e.g., for physical health problems.
Purpose
The continuum of mental health/illness has been subject to scientific debate for decades. While current research indicates that continuum belief interventions can reduce mental health stigma and improve treatment seeking in affected populations, no study has yet systematically examined measures of continuum beliefs.
Methods
This preregistered systematic review summarizes measures of continuum beliefs. Following the PRISMA statement, three scientific databases (PubMed, PsycInfo and PsycArticles via EBSCOhost, Web of Science) are searched, instruments are described and discussed regarding their scope, and methodological quality.
Results
Overall, 7351 records were identified, with 35 studies reporting relevant findings on 11 measures. Most studies examined general population samples and used vignette-based measures. Schizophrenia and depression were most commonly examined, few studies focused on dementia, ADHD, OCD, eating disorders, and problematic alcohol use, or compared continuum beliefs across disorders. Validity was very good for most measures, but reliability was rarely tested. Measures mostly assessed beliefs in the normality of mental health symptoms or the normality of persons with such symptoms but rarely nosological aspects (i.e., categorical v continuous conceptualization of mental disorders).
Conclusions
Current research provides psychometrically sound instruments to examine continuum beliefs for a variety of mental disorders. While studies suggest utility for general population samples and mental health professionals, more research is necessary to corroborate findings, for instance, regarding age (e.g., in adolescents), gender, or type of mental disorder. Future research should also compare self-report ratings, and vignette-based measures, include measures of nosological concepts to fully grasp the continuum concept of mental illness.
Preregistration
PROSPERO: CRD42019123606.
Measuring mental workload at the workplace using (psycho-) physiological measurement techniques seems desirable but is difficult to implement. Conventional analysis techniques are designed to cover longer measurement durations, neglecting the demands of modern work places: high worker flexibility and constantly fluctuating mental workload. As an alternative analysis approach, measurement (resp. analysis) duration can be shortened and event-based pattern analysis of various physiological parameters can be performed. The effects of such approaches are demonstrated by experimental examples. Furthermore, an event-timestamp independent framework is presented. Focusing on occasionally occurring peaks and longer lasting plateaus in mental workload trajectories, an automatized analysis of workload during work processes becomes possible.
Practical relevance: With steadily increasing cognitive demands at work the risk of mental fatigue increases too. Mental workload is not directly observable at the workplace and the objective measurement and interpretation is complicated. Improving the overall assessment and analysis strategies for (physiological) mental workload indicators can benefit the quality of risk assessments of workplaces and processes as well as enable the possibility of demand-orientated control of (informational) assistance systems to prevent mental overload and resulting health constraints.
In recent years, online radicalization has received increasing attention from researchers and policymakers, for instance, by analyzing online communication of radical groups and linking it to individual and collective pathways of radicalization into violent extremism. But these efforts often focus on radical individuals or groups as senders of radicalizing messages, while empirical research on the recipient is scarce. To study the impact of radicalized online content on vulnerable individuals, this study compared cognitive and affective appraisal and visual processing (via eye tracking) of three political Internet memes (empowering a right-wing group, inciting violence against out-groups, and emphasizing unity among human beings) between a right-wing group and a control group. We examined associations between socio-political attitudes, appraisal ratings, and visual attention metrics (total dwell time, number of fixations). The results show that right-wing participants perceived in-group memes (empowerment, violence) more positively and messages of overarching similarities much more negatively than controls. In addition, right-wing participants and participants in the control group with a high support for violence directed their attention towards graphical cues of violence (e.g., weapons), differentness, and right-wing groups (e.g., runes), regardless of the overall message of the meme. These findings point to selective exposure effects and have implications for the design and distribution of de-radicalizing messages and counter narratives to optimize the efficacy of prevention of online radicalization.
Extinction learning is suggested to be a central mechanism during exposure-based cognitive behavioralpsychotherapy. A positive association between the patients’pretreatment extinction learning performance andtreatment outcome would corroborate the hypothesis. Indeed, there isfirst correlational evidence between reducedextinction learning and therapy efficacy. However, the results of these association studies may be hampered byextinction-training protocols that do not match treatment procedures. Therefore, we developed an extinction-trainingprotocol highly tailored to the procedure of exposure therapy and tested it in two samples of 46 subjects in total. Byusing instructed fear acquisition training, including a consolidation period overnight, we wanted to ensure that theconditioned fear response was well established prior to extinction training, which is the case in patients with anxietydisorders prior to treatment. Moreover, the extinction learning process was analyzed on multiple response levels,comprising unconditioned stimulus (US) expectancy ratings, autonomic responses, defensive brain stem reflexes, andneural activation using functional magnetic resonance imaging. Using this protocol, we found robust fearconditioning and slow-speed extinction learning. We also observed within-group heterogeneity in extinction learning,albeit a stable fear response at the beginning of the extinction training. Finally, we found discordance betweendifferent response systems, suggesting that multiple processes are involved in extinction learning. The paradigmpresented here might help to ameliorate the association between extinction learning performance assessed in thelaboratory and therapy outcomes and thus facilitate translational science in anxiety disorders