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  • 1
    Online Resource
    Online Resource
    Increased Safety Behavior and COVID-19-Related Fear in Adults with Cystic Fibrosis during the Pandemic
    MDPI AG ; 2022
    In:  Healthcare Vol. 10, No. 5 ( 2022-05-06), p. 858-
    Details
    In: Healthcare, MDPI AG, Vol. 10, No. 5 ( 2022-05-06), p. 858-
    Abstract: People with cystic fibrosis (pwCF) face great challenges during the ongoing COVID-19 pandemic. Recent research found equal levels of distress in pwCF and healthy controls (HC). The current study aimed to investigate the mental health burden and safety behavior in pwCF. Sixty-nine adult pwCF and sixty-nine propensity-score-matched HC participated in this study. Participants completed an anonymous online questionnaire assessing distress, generalized anxiety, depressive symptoms, COVID-19-related variables, self-reported adherent safety behavior (ASB), and dysfunctional safety behavior (DSB). PwCF showed equal amounts of distress (W = 2481.0, p = 0.669), depressive symptoms (W = 2632.5, p = 0.268), and generalized anxiety symptoms (W = 2515.5, p = 0.565) compared to the HC. COVID-19-related fear (W = 1872.0, p = 0.028), ASB (W = 1630.0, p = 0.001), and DSB (W = 1498.5, p 〈 0.001) were significantly elevated in pwCF. The pwCF estimated that the probability of suffering from symptoms (W = 954.5, p 〈 0.001), experiencing a severe course (W = 806.5, p 〈 0.001), or dying (W = 1079.0, p 〈 0.001) from COVID-19 is significantly higher than that of the HC. ASB was associated with a CF diagnosis, COVID-19-related fear, and a subjective level of information (R2 = 0.414, F(13, 124) = 6.936, p ≤ 0.001). DSB was associated with a diagnosis of CF and COVID-19-related fear (R2 = 0.196, F(13, 124) = 3.169, p ≤ 0.001). The data suggest that pwCF show functional and adequate behaviors towards the risk caused by the pandemic. Therefore, functional coping behaviors may provide advantages in addressing pandemic challenges.
    Type of Medium: Online Resource
    ISSN: 2227-9032
    URL: Article
    DOI: 10.3390/healthcare10050858
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2721009-1
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  • 2
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    Determining the Influencing Factors on Acceptance of eHealth Pain Management Interventions Among Patients With Chronic Pain Using the Unified Theory of Acceptance and Use of Technology: Cross-sectional Study
    JMIR Publications Inc. ; 2022
    In:  JMIR Formative Research Vol. 6, No. 8 ( 2022-8-17), p. e37682-
    Details
    In: JMIR Formative Research, JMIR Publications Inc., Vol. 6, No. 8 ( 2022-8-17), p. e37682-
    Abstract: Chronic pain is a complex disease with high prevalence rates, and many individuals who are affected do not receive adequate treatment. As a complement to conventional therapies, eHealth interventions could provide many benefits to a multimodal treatment approach for patients with chronic pain, whereby future use is associated with the acceptance of these interventions. Objective This study aims to assess the acceptance of eHealth pain management interventions among patients with chronic pain and identify the influencing factors on acceptance. A further objective of the study is to evaluate the viability of the Unified Theory of Acceptance and Use of Technology (UTAUT) model and compare it with its extended version in terms of explained variance of acceptance. Methods We performed a cross-sectional web-based study. In total, 307 participants with chronic pain, as defined according to the International Association for the Study of Pain criteria, were recruited through flyers, posters, and web-based inquiries between December 2020 and July 2021. In addition to sociodemographic and medical data, the assessment included validated psychometric instruments and an extended version of the well-established UTAUT model. For statistical analyses, group comparisons and multiple hierarchical regression analyses were performed. Results The acceptance of eHealth pain management interventions among patients with chronic pain was overall moderate to high (mean 3.67, SD 0.89). There was significant difference in acceptance among age groups (W=9674.0; r=0.156; P=.04). Effort expectancy (β=.37; P 〈 .001), performance expectancy (β=.33; P 〈 .001), and social influence (β=.34; P 〈 .001) proved to be the most important predictors of acceptance. The extended UTAUT (including the original UTAUT factors as well as sociodemographic, medical, and eHealth-related factors) model explained 66.4% of the variance in acceptance, thus supporting the viability of the model. Compared with the original UTAUT model (performance expectancy, effort expectancy, and social influence), the extended model explained significantly more variance (F25,278=1.74; P=.02). Conclusions Given the association between acceptance and future use, the knowledge of the influencing factors on acceptance should be used in the development and promotion of eHealth pain management interventions. Overall, the acceptance of eHealth pain management interventions was moderate to high. In total, 8 predictors proved to be significant predictors of acceptance. The UTAUT model is a valuable instrument for determining acceptance as well as the factors that influence acceptance of eHealth pain management interventions among patients with chronic pain. The extended UTAUT model provided the greatest predictive value for acceptance.
    Type of Medium: Online Resource
    ISSN: 2561-326X
    URL: Article
    DOI: 10.2196/37682
    Language: English
    Publisher: JMIR Publications Inc.
    Publication Date: 2022
    detail.hit.zdb_id: 2941716-8
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  • 3
    Online Resource
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    Mental health burden of patients with diabetes before and after the initial outbreak of COVID-19: predictors of mental health impairment
    Springer Science and Business Media LLC ; 2021
    In:  BMC Public Health Vol. 21, No. 1 ( 2021-12)
    Details
    In: BMC Public Health, Springer Science and Business Media LLC, Vol. 21, No. 1 ( 2021-12)
    Abstract: The COVID-19 pandemic is affecting people’s mental health worldwide. Patients with diabetes are at risk for a severe course of illness when infected with SARS-CoV-2. The present study aims to retrospectively examine mental health changes in patients with diabetes in Germany before and after the initial COVID-19 outbreak, and to furthermore explore potential predictors of such changes. Methods Over the course of eight weeks from April to June 2020, 253 individuals diagnosed with diabetes participated in an online cross-sectional study. Participants completed an anonymous survey including demographics, depression (PHQ-2) and generalized anxiety symptoms (GAD-2), distress (DT), and health status (EQ-5D-3L). In addition, all instruments used were modified to retrospectively ask participants to recall their mental health and health status before the outbreak had started. Additionally examined factors were COVID-19-related fear, trust in governmental actions to face the pandemic, and the subjective level of information about COVID-19. Results This study shows a significant increase in prevalence of depression symptoms, generalized anxiety symptoms and distress, as well as significantly decreased health statuses in diabetes patients after the initial COVID-19 outbreak. Increased depression symptoms, generalized anxiety symptoms and distress were predicted by COVID-19-related fear, whereas trust in governmental actions to face COVID-19 predicted higher depression symptoms. Conclusions The results indicate a negative impact of the initial COVID-19 outbreak on mental health and health status in patients with diabetes. In order to improve the efficacy of psychological support strategies for diabetes patients during the pandemic, possible predictors of mental health impairment such as the aforementioned should be examined more thoroughly and addressed more openly.
    Type of Medium: Online Resource
    ISSN: 1471-2458
    URL: Article
    DOI: 10.1186/s12889-021-12101-z
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2041338-5
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  • 4
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    Online Resource
    Determining the Acceptance of Digital Cardiac Rehabilitation and Its Influencing Factors among Patients Affected by Cardiac Diseases
    MDPI AG ; 2023
    In:  Journal of Cardiovascular Development and Disease Vol. 10, No. 4 ( 2023-04-17), p. 174-
    Details
    In: Journal of Cardiovascular Development and Disease, MDPI AG, Vol. 10, No. 4 ( 2023-04-17), p. 174-
    Abstract: Background: Cardiac diseases are a major global health issue with an increasing prevalence of affected people. Rehabilitation following cardiac events is underutilized, despite its proven effectiveness. Digital interventions might present a useful addition to traditional cardiac rehabilitation. Aims: This study aims to assess the acceptance of mobile health (mHealth) cardiac rehabilitation and to investigate the underlying factors of acceptance in patients with ischemic heart disease and congestive heart failure. Methods: A cross-sectional study was conducted from November 2021 to September 2022 with N = 290 patients. Sociodemographic, medical, and eHealth-related data were assessed. The Unified Theory of Acceptance and Use of Technology (UTAUT) was applied. Group differences in acceptance were examined and a multiple hierarchical regression analysis was conducted. Results: The overall acceptance of mHealth cardiac rehabilitation was high (M = 4.05, SD = 0.93). Individuals with mental illness reported significantly higher acceptance (t(288) = 3.15, padj = 0.007, d = 0.43). Depressive symptoms (β = 0.34, p 〈 0.001); digital confidence (β = 0.19, p = 0.003); and the UTAUT predictors of performance expectancy (β = 0.34, p 〈 0.001), effort expectancy (β = 0.34, p 〈 0.001), and social influence (β = 0.26, p 〈 0.001) significantly predicted acceptance. The extended UTAUT model explained 69.5% of the variance in acceptance. Conclusions: As acceptance is associated with the actual use of mHealth, the high level of acceptance found in this study is a promising basis for the future implementation of innovative mHealth offers in cardiac rehabilitation.
    Type of Medium: Online Resource
    ISSN: 2308-3425
    URL: Article
    DOI: 10.3390/jcdd10040174
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2777082-5
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  • 5
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    Psychometric properties of the German revised version of the eHealth literacy scale in individuals with cardiac diseases: Validation and test of measurement invariance
    SAGE Publications ; 2023
    In:  DIGITAL HEALTH Vol. 9 ( 2023-01)
    Details
    In: DIGITAL HEALTH, SAGE Publications, Vol. 9 ( 2023-01)
    Abstract: The internet is most people's primary source of (health) information. However, no validated instrument exists to assess eHealth literacy in the group of patient with cardiac diseases. Objective The objective of this study was the evaluation of the psychometric properties of the German revised version of the eHealth literacy scale (GR-eHEALS) in individuals with coronary artery disease (CAD) and congestive heart failure (CHF). Methods A cross-sectional study was conducted. N = 455 were included in the statistical analyses. The assessment compromised the GR-eHEALS, medical history, sociodemographic data, and technology-related data. Confirmatory factor analyses, correlational analyses, and tests of measurement invariance were performed. Results The two-factorial model reached a good model fit. The sub-scales information seeking and information appraisal, as well as the eHealth literacy total score, reached high reliability coefficients. Construct and criterion validity was fully confirmed For the two-factorial model, measurement invariance up to the scalar level could be confirmed regarding the sociodemographic characteristics sex, age, and educational level. Conclusions This study confirmed the two-factor structure, construct, and criterion validity as well as measurement invariance at the scalar level for sex, age, and educational level of the GR-eHEALS scale in a sample of individuals with CAD and CHF.
    Type of Medium: Online Resource
    ISSN: 2055-2076 , 2055-2076
    URL: Article
    DOI: 10.1177/20552076231194915
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2819396-9
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  • 6
    Online Resource
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    Validation of a German Version of the Stress Overload Scale and Comparison of Different Time Frames in the Instructions
    Hogrefe Publishing Group ; 2023
    In:  Psychological Test Adaptation and Development Vol. 4, No. 1 ( 2023-03-01), p. 41-54
    Details
    In: Psychological Test Adaptation and Development, Hogrefe Publishing Group, Vol. 4, No. 1 ( 2023-03-01), p. 41-54
    Abstract: Abstract: Introduction: The Stress Overload Scale (SOS; Amirkhan, 2012 , 2018 ) was introduced as a two-factorial self-report measure of stress to overcome limitations of other scales. Methods: We developed a German translation of the SOS and validated it in addition to a short version and an extra-short version. Furthermore, we tested whether manipulating the time frame introduced as retention interval in the instructions affected its psychometric properties. Results: Using two independent age-heterogeneous convenience samples ( N total = 1,239), we found good psychometric properties for a modified German short version of the SOS-S (SOS-S-G) and a new extra-short version (SOS-XS-G), but not for the German long version of the SOS. Moreover, manipulating the time frame of the SOS did not affect its psychometric quality. Discussion The SOS enriches the repertoire of self-report measures of stress as it captures the nonpathological core facets of stress in line with theoretical stress conceptualizations.
    Type of Medium: Online Resource
    ISSN: 2698-1866
    URL: Article
    DOI: 10.1027/2698-1866/a000037
    Language: English
    Publisher: Hogrefe Publishing Group
    Publication Date: 2023
    detail.hit.zdb_id: 2980402-4
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  • 7
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    Online Resource
    Needs and demands for mHealth cardiac health promotion among individuals with cardiac diseases: a patient-centred design approach
    Oxford University Press (OUP) ; 2023
    In:  European Heart Journal - Digital Health Vol. 4, No. 5 ( 2023-10-03), p. 393-401
    Details
    In: European Heart Journal - Digital Health, Oxford University Press (OUP), Vol. 4, No. 5 ( 2023-10-03), p. 393-401
    Abstract: Cardiovascular diseases are one of the main contributors to disability and mortality worldwide. Meanwhile, risk factors can be modified by lifestyle changes. mHealth is an innovative and effective way to deliver cardiac health promotion. This study aims to examine the needs and demands regarding the design and contents of an mHealth intervention for cardiac health promotion among individuals with cardiac diseases. Different clusters were determined and analysed in terms of the intention to use an mHealth intervention. Methods and results A cross-sectional study was conducted via a web-based survey. Three hundred and four individuals with coronary artery diseases (CADs) and/or congestive heart failure (CHF) were included in the data analysis. Descriptive statistics were applied to evaluate needs and demands regarding an mHealth intervention. A k-medoids cluster analysis was performed. Individuals with CAD and CHF favoured an mHealth intervention that supports its users permanently and is easily integrated into everyday life. Handheld devices and content formats that involve active user participation and regular updates were preferred. Three clusters were observed and labelled high, moderate, and low burden, according to their psychometric properties. The high burden cluster indicated higher behavioural intention towards use of an mHealth intervention than the other clusters. Conclusion The results of the study are a valuable foundation for the development of an mHealth intervention for cardiac health promotion following a user-centred design approach. Individuals with cardiac diseases report positive attitudes in the form of high usage intention regarding mHealth. Highly burdened individuals report a high intention to use such interventions.
    Type of Medium: Online Resource
    ISSN: 2634-3916
    URL: Article
    DOI: 10.1093/ehjdh/ztad038
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 3076078-1
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  • 8
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    COVID-19-Related Burden and Risk Perception in Individuals with Chronic Inflammatory Demyelinating Polyneuropathy and Multifocal Motor Neuropathy: A Cross-Sectional Study
    Springer Science and Business Media LLC ; 2022
    In:  Neurology and Therapy Vol. 11, No. 3 ( 2022-09), p. 1135-1146
    Details
    In: Neurology and Therapy, Springer Science and Business Media LLC, Vol. 11, No. 3 ( 2022-09), p. 1135-1146
    Type of Medium: Online Resource
    ISSN: 2193-8253 , 2193-6536
    URL: Article
    DOI: 10.1007/s40120-022-00359-3
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2682228-3
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  • 9
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    Acceptance, drivers, and barriers to use eHealth interventions in patients with post-COVID-19 syndrome for management of post-COVID-19 symptoms: a cross-sectional study
    SAGE Publications ; 2023
    In:  Therapeutic Advances in Neurological Disorders Vol. 16 ( 2023-01), p. 175628642311757-
    Details
    In: Therapeutic Advances in Neurological Disorders, SAGE Publications, Vol. 16 ( 2023-01), p. 175628642311757-
    Abstract: Post-COVID-19 syndrome is a new and debilitating disease without adequate treatment options. eHealth could be a reasonable approach for symptom management. Objectives: This study aims to evaluate the acceptance for eHealth interventions for symptom management in individuals with post-COVID-19 syndrome, as well as drivers and barriers influencing acceptance. Design: Cross-sectional study. Methods: This study was conducted from January 19 until 24 May 2022. Recruitment took place with a web-based survey. Acceptance and predictors of eHealth interventions were measured by the extended UTAUT model. Included in the model were the core predictor performance expectancy, social influence, and effort expectancy. Previously diagnosed mental illness was estimated and mental health by using the well-established Generalized Anxiety Disorder Scale-7 and the Patient Health Questionnaire Depression Scale. The effect of sociodemographic and medical data was assessed. Multiple hierarchical regression analyses as well as group comparisons were performed. Results: 342 individuals with post-COVID-19 syndrome were examined. The acceptance of eHealth interventions for symptom management was moderate to high (M = 3.60, SD = 0.89). Acceptance was significantly higher in individuals with lower/other education, patients with moderate to severe symptoms during initial COVID-19 infection, still significantly impaired patients, and individuals with a mental illness. Identified predictors of acceptance were age (β = .24, p  〈  .001), current condition including moderate (β = .49, p = .002) and still significantly impaired (β = .67, p  〈  .001), digital confidence (β = .19, p  〈  .001), effort expectancy (β = .26, p  〈  .001), performance expectancy (β = .33, p  〈  .001), and social influence (β = .26, p  〈  .001). Conclusion: Patients with post-COVID-19 syndrome reported a satisfying level of acceptance and drivers and barriers could be identified. These factors need to be considered for the implementation and future use of eHealth interventions.
    Type of Medium: Online Resource
    ISSN: 1756-2864 , 1756-2864
    URL: Article
    DOI: 10.1177/17562864231175730
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2442245-9
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  • 10
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    Needs and Demands for e-Mental Health Interventions in Individuals with Overweight and Obesity: User-Centred Design Approach
    S. Karger AG ; 2023
    In:  Obesity Facts Vol. 16, No. 2 ( 2023), p. 173-183
    Details
    In: Obesity Facts, S. Karger AG, Vol. 16, No. 2 ( 2023), p. 173-183
    Abstract: 〈 b 〉 〈 i 〉 Introduction: 〈 /i 〉 〈 /b 〉 Several studies indicate an association between mental disorders and overweight or obesity. E-Mental health interventions offer an effective way to overcome barriers to health care access for individuals with overweight and obesity. The objective of this study was to examine the needs and demands for e-mental health interventions among individuals with overweight and obesity. 〈 b 〉 〈 i 〉 Methods: 〈 /i 〉 〈 /b 〉 A cross-sectional study was conducted from 2020 to 2021 in Germany. A total of 643 participants were recruited through specialized social media platforms and the Alfried-Krupp hospital in Essen, Germany. Sociodemographic and medical data were analysed, as well as data on depressive symptoms and on the needs and demands for e-mental health interventions. 〈 b 〉 〈 i 〉 Results: 〈 /i 〉 〈 /b 〉 Contact with and recommendation by experts appear to be key aspects in the acceptance and use of e-mental health interventions. In summary, most participants preferred a 20–30-min weekly session via smartphone over a 4-month period. The highest preference in terms of features included practicing coping skills and being provided with information; in regard to desired topics, nutrition consultation, quality of life, and adapting to new life situations were considered most important. 〈 b 〉 〈 i 〉 Discussion: 〈 /i 〉 〈 /b 〉 e-Mental health interventions can be highly beneficial for individuals, especially when developed through a user-centred design approach. The results of the study indicate which content and design are preferred and, thereby, provide valuable information for consideration when developing a tailored e-mental health intervention.
    Type of Medium: Online Resource
    ISSN: 1662-4025 , 1662-4033
    URL: Article
    DOI: 10.1159/000527914
    Language: English
    Publisher: S. Karger AG
    Publication Date: 2023
    detail.hit.zdb_id: 2455819-9
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