100 Highly Cited Interventional Studies on Mobile Health: a Bibliometric Analysis (Preprint)

2019 ◽  
Author(s):  
Arefeh Ameri ◽  
Farzad Salmanizadeh ◽  
Sareh Keshvardoost ◽  
Kambiz Bahaadinbeigy
Keyword(s):  
Mental Health ◽  
Treatment Adherence ◽  
Mobile Health ◽  
Mental Health Disorders ◽  
Mobile Technologies ◽  
Future Studies ◽  
Health Disorders ◽  
Number Of Citations ◽  
The Impact ◽  
Highly Cited

BACKGROUND Advances in mobile communication technologies in the field of health have led to numerous relevant studies. One of the criteria indicating the quality of the previously published studies is the number of citations. Therefore, investigating the features of highly cited articles and identifying the most frequently used mobile technological interventions can be important in developing future studies. OBJECTIVE This study aimed at identifying 100 cited interventional articles on mobile health. METHODS The database employed in this study was the Web of Science, which without limitations was analyzed in September 2019 to identify 100 highly cited interventional studies in the field of mobile health. The identified studies were classified based on the number of citations, year of publication, country of the first author, type of disease, and use of mobile technology. RESULTS A great majority of the studies in the field of interventional mobile health focused on obesity (n=18), addiction (n=15), diabetes (n=11) and mental health disorders (n=11), respectively. Many studies employed mobile technologies to promote lifestyle (weight loss and increased physical activity) (n=21), disease control (n=19), and treatment adherence (n=18). The mean number of citations per study was 140±94. The most cited study was in the category of viral disease treatment adherence (n=679), and the most cited articles were published in 2012. CONCLUSIONS Among the reviewed 100 studies, many of the interventional studies regarding mobile health focused on obesity, addiction, diabetes and mental health disorders. Text messaging service was used as intervention in most of the studies. Thus, future studies may focus on the use of mobile interventions for less reported diseases and investigate the impact of various mobile technologies on disease prevention, control, and treatment. CLINICALTRIAL Non applicable

scholarly journals Bibliometric Analysis of Interventional Literature on Mobile Health: The Most Highly Cited Articles

2021 ◽  
Vol 10 (1) ◽  
pp. 66
Author(s):  
Arefeh Ameri ◽  
Farzad Salmanizadeh ◽  
Kambiz Bahaadinbeigy
Keyword(s):  
Mental Health ◽  
Treatment Adherence ◽  
Mobile Health ◽  
Text Messaging ◽  
Mental Health Disorders ◽  
Mobile Technologies ◽  
Health Disorders ◽  
Number Of Citations ◽  
Highly Cited Articles ◽  
Highly Cited

Introduction: Advances in mobile health have led to numerous relevant studies in diagnosis, treatment, and controlling of various diseases. One of the criteria indicating the quality of the previously published studies is the number of citations. Therefore, investigating the features of highly cited articles and identifying the most frequently used mobile technological interventions can affect future research ideas. This study aimed at identifying 100 highly cited interventional studies on mobile health, type of used mobile technologies, and effect of these technologies in various diseases in top-cited articles.Methods: The database employed in this study was the Web of Science, which without limitations was analysed in April 2020 to identify 100 highly cited interventional studies in the field of mobile health. The identified studies were classified based on the number of citations, year of publication, country of the first author, type of disease, and use of mobile technology.Results: A great majority of the studies in the field of interventional mobile health focused on obesity (n=18), addiction (n=15), diabetes (n=13) and mental health disorders (n=12), respectively. Many studies employed mobile technologies to promote lifestyle (weight loss and increased physical activity) (n=20), disease controls (n=20), and treatment adherence (n=18). The mean number of citations per study was 146±97. The most cited study was in the category of viral disease treatment adherence (n=703), and the most cited articles were published in 2012.Conclusions: Among the reviewed 100 studies, many of the interventional studies regarding mobile health focused on obesity, addiction, diabetes and mental health disorders. Promotion of lifestyle, disease controls, and treatment adherence were effects of mobile technologies in top-cited articles. Text messaging service was used as intervention in most of the studies. Thus, future studies may focus on the use of various mobile applications on different diseases’ prevention, control, and treatment.

The Impact of Comorbid Mental Health Disorders on Complications Following Cervical Spine Surgery With Minimum 2-Year Surveillance

Spine ◽  
2018 ◽  
Vol 43 (21) ◽  
pp. 1455-1462 ◽  
Author(s):  
Bassel G. Diebo ◽  
Joshua D. Lavian ◽  
Shian Liu ◽  
Neil V. Shah ◽  
Daniel P. Murray ◽  
...  
Keyword(s):  
Mental Health ◽  
Cervical Spine ◽  
Spine Surgery ◽  
Mental Health Disorders ◽  
Cervical Spine Surgery ◽  
Health Disorders ◽  
The Impact

The impact of forced displacement in World War II on mental health disorders and health-related quality of life in late life – a German population-based study

2012 ◽  
Vol 25 (2) ◽  
pp. 310-319 ◽  
Author(s):  
Simone Freitag ◽  
Elmar Braehler ◽  
Silke Schmidt ◽  
Heide Glaesmer
Keyword(s):  
Mental Health ◽  
World War Ii ◽  
Mental Health Disorders ◽  
Forced Displacement ◽  
Health Related Qol ◽  
Related Quality ◽  
Health Related ◽  
Displaced People ◽  
Health Disorders ◽  
The Impact

ABSTRACTBackground: Long-term effects of World War II experiences affect psychological and physical health in aged adults. Forced displacement as a traumatic event is associated with increased psychological burden even after several decades. This study investigates the contribution of forced displacement as a predictor for mental health disorders and adds the aspect of health-related quality of life (QoL).Method: A sample of 1,659 German older adults aged 60–85 years was drawn from a representative survey. Post-traumatic stress disorder (PTSD), somatoform symptoms, depressive syndromes, and health-related QoL were assessed as outcome variables. Chi-square and t-test statistics examined differences between displaced and non-displaced people. Logistic regression analyses were performed to examine the impact of forced displacement on mental health disorders and QoL.Results: Displaced people reported higher levels of PTSD, depressive and somatoform symptoms, and lower levels of health-related QoL. Displacement significantly predicted PTSD and somatoform symptoms in late life, but not depressive disorders. Health-related QoL was predicted by forced displacement and socio-demographic variables.Conclusion: Forced displacement is associated with an elevated risk for PTSD and somatoform symptoms and lowered health-related QoL in aged adults. Its unique impact declines after including socio-demographic variables. Long-term consequences of forced displacement need further investigations and should include positive aspects in terms of resilience and protective coping strategies.

scholarly journals Management of mental health disorders and central nervous system sequelae in HIV-positive children and adolescents

2014 ◽  
Vol 15 (3) ◽  
pp. 81-96 ◽  
Author(s):  
R Nassen ◽  
K Donald ◽  
K Walker ◽  
S Paruk ◽  
M Vujovic ◽  
...  
Keyword(s):  
Mental Health ◽  
Central Nervous System ◽  
Nervous System ◽  
Mental Disorders ◽  
Children And Adolescents ◽  
Mental Health Disorders ◽  
Hiv Positive ◽  
Increased Risk ◽  
Health Disorders ◽  
The Impact

HIV-positive children and adolescents are at increased risk of both central nervous system (CNS) sequelae and mental disorders owing to a number of factors, including the impact of HIV infection on the brain, social determinants of health (e.g. poverty and orphanhood) and psychosocial stressors related to living with HIV. Every effort should be made to identify perinatally HIV-infected children and initiate them on antiretroviral therapy early in life. HIV clinicians should ideally screen for mental health and neurocognitive problems, as part of the routine monitoring of children attending antiretroviral clinics. This guideline is intended as a reference tool for HIV clinicians to support the early identification, screening and management of mental health disorders and/or CNS impairment in children and adolescents. This guideline covers mental disorders (section 1) and HIV-associated neurocognitive disorders (section 2) among children and adolescents.  

scholarly journals Treating Illness Distress in Chronic Illness

2019 ◽  
Vol 24 (1) ◽  
pp. 26-37 ◽  
Author(s):  
Joanna L. Hudson ◽  
Rona Moss-Morris
Keyword(s):  
Mental Health ◽  
Mental Health Disorders ◽  
Cognitive Behavioral ◽  
Self Management ◽  
Depression And Anxiety ◽  
Long Term Conditions ◽  
Management Interventions ◽  
Health Disorders ◽  
Behavioral Mechanisms ◽  
The Impact

Abstract. Cognitive-behavioral therapy (CBT) is an evidence-based treatment for depression and anxiety recommended for those with and without physical long-term conditions (LTCs). However, the cognitive-behavioral mechanisms targeted in CBT protocols are based on empirical cognitive-behavioral models of depression and anxiety. In these models, emotions are conceptualized as primary mental health disorders rather than a reaction to the challenges of living with a LTC commonly referred to as illness distress. This raises important clinical questions with theoretical implications. These include: Is the experience of illness distress conceptually distinct from primary mental health diagnoses of anxiety and mood disorder? Are there unique cognitive-behavioral mechanisms related to illness self-management, which should be incorporated into CBT for illness distress? How can illness self-management interventions be embedded within existing CBT protocols for depression and anxiety? To address these questions, we distinguish between primary mental health disorders and illness distress conceptually and explore the impact of this on tailored treatment planning and engagement. Second, we review how health psychology theoretical models can help to inform modifications of existing cognitive-behavioral treatments for anxiety and depression to better support the needs of individuals experiencing illness distress. Third, we provide examples of how to embed processes important for illness self-management including, illness cognitions and adherence, alongside existing CBT techniques. The mechanisms and intervention techniques discussed may help to inform the development of integrated CBT treatments for illness distress for future hypothesis testing in comparative effectiveness trials.

scholarly journals The Psychological Impact of COVID-19 on Individuals With and Without Mental Health Disorders

2021 ◽  
pp. 003329412110268
Author(s):  
Juliana Alvares Duarte Bonini Campos ◽  
Lucas Arrais Campos ◽  
Bianca Gonzalez Martins ◽  
Filomena Valadão Dias ◽  
Rodrigo Ruano ◽  
...  
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Psychological Impact ◽  
Mental Health Disorders ◽  
Mental Health Disorder ◽  
Subjective Distress ◽  
Event Scale ◽  
History Of ◽  
Health Disorders ◽  
The Impact

Objective To identify people with history of mental health disorders before the COVID-19 pandemic in the Brazilian population and estimate the prevalence of mood swings and the subjective distress of the pandemic among individuals with or without mental health disorders. Methods Through an online survey, participants were asked about presence or absence of mental health disorders. In addition, they answered the Brunel Mood Scale and the Impact of Event Scale. The mean percentile of mood swing indicators and psychological impact scores were estimated, and data were analyzed by logistic regression. Results 13,248 people participated (70.5% women, mean age 35.4 years, 31.2% with history of mental health disorder). Women and younger people were more likely to be diagnosed with mental health disorder. All participants had significant changes in mood due to the pandemic. Anger, depressed mood, mental confusion, and fatigue were higher among individuals with bipolar disorder or with combined disorders. Individuals with mental health disorders had a greater subjective distress, especially the group with bipolar disorder (OR = 4.89 [3.64–6.56]) and combined disorders (OR = 6.89 [5.21–9.10]). Conclusion Individuals previously diagnosed with mental health disorders at some point in life are more vulnerable to psychological impact from the pandemic.

scholarly journals Predictors of psychosocial outcome of bipolar disorder: data from the Stanley Foundation Bipolar Network

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Francis Bennett ◽  
Sophie Hodgetts ◽  
Andrew Close ◽  
Mark Frye ◽  
Heinz Grunze ◽  
...  
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Psychosocial Functioning ◽  
Age At Onset ◽  
Mental Health Disorders ◽  
Psychosocial Outcome ◽  
Longitudinal Outcome ◽  
Health Disorders ◽  
The Impact ◽  
Gaf Scores

Abstract Background Impairments in psychosocial functioning have been demonstrated in 30–60% of adults with bipolar disorder (BD). However, the majority of studies investigating the effect of comorbid mental health disorders and age at onset outcomes in BD have focused on traditional outcome measures such as mood symptoms, mortality and treatment response. Therefore, this project aimed to investigate the impact of comorbid mental health disorders and age at onset on longitudinal psychosocial outcome in participants with BD. Method Mixed effects modelling was conducted using data from the Stanley Foundation Bipolar Network. Baseline factors were entered into a model, with Global Assessment of Functioning (GAF) score as the longitudinal outcome measure. Relative model fits were calculated using Akaike’s Information Criterion. Results No individual comorbidities predicted lower GAF scores, however an interaction effect was demonstrated between attention deficit hyperactivity disorder (ADHD) and any anxiety disorder (t = 2.180, p = 0.030). Participants with BD I vs BD II (t = 2.023, p = 0.044) and those in the lowest vs. highest income class (t = 2.266, p = 0.024) predicted lower GAF scores. Age at onset (t = 1.672, p = 0.095) did not significantly predict GAF scores. Conclusions This is the first study to demonstrate the negative psychosocial effects of comorbid anxiety disorders and ADHD in BD. This study adds to the growing database suggesting that comorbid mental health disorders are a significant factor hindering psychosocial recovery.

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