Prevalence of psychiatric morbidity at Mobile Health Clinic in an urban community in North India

2012 ◽  
Vol 34 (2) ◽  
pp. 121-126 ◽  
Author(s):  
Harshal Salve ◽  
Kiran Goswami ◽  
Baridalyne Nongkynrih ◽  
Rajesh Sagar ◽  
V. Sreenivas
Keyword(s):  
Mobile Health ◽  
Urban Community ◽  
Psychiatric Morbidity ◽  
North India ◽  
Health Clinic

The utility and feasibility of assessing sleep disruption in a men's health clinic using a mobile health platform device: A pilot study

2017 ◽  
Vol 72 (1) ◽  
pp. e12999 ◽  
Author(s):  
Hai H. Le ◽  
Rachel Marie E. Salas ◽  
Alyssa Gamaldo ◽  
Kevin L. Billups ◽  
Peter Dziedzic ◽  
...  
Keyword(s):  
Pilot Study ◽  
Mobile Health ◽  
Men’S Health ◽  
Health Clinic ◽  
Sleep Disruption ◽  
Men's Health

scholarly journals Internalized stigma and psychiatric morbidity among patients with psoriasis: A study from North India

2021 ◽  
Vol 12 (1) ◽  
pp. 97
Author(s):  
Sandeep Grover ◽  
Aseem Mehra ◽  
Sunil Dogra ◽  
Nandita Hazari ◽  
Nidhi Malhora ◽  
...  
Keyword(s):  
Psychiatric Morbidity ◽  
North India ◽  
Internalized Stigma

scholarly journals Study of psychiatric morbidity of patients attending free mental health check up camp, Simara, Bara district of Nepal

2013 ◽  
Vol 2 (1) ◽  
pp. 30-34
Author(s):  
CP Sedain
Keyword(s):  
Mental Health ◽  
Depressive Disorder ◽  
Demographic Data ◽  
Psychiatric Morbidity ◽  
Cross Sectional Study ◽  
Health Clinic ◽  
Age Group ◽  
Cross Sectional ◽  
Female Ratio ◽  
Community Mental Health Clinics

Introduction: Maryknoll Nepal has been running community mental health clinics different part of the country. The aim of the study was to find out psychiatric morbidity of patients attending Maryknoll free check up clinic Simara, Bara district of Nepal. Methods: A prospective cross-sectional study comprised of all consecutive patients attending Maryknoll free check up clinic Simara, Bara district, Nepal. All the patients attending the free clinics were taken as cases. The study was conducted in January 2009. Demographic data and disease profile of 87 patients attending the clinic were analyzed. The ratios and proportions were used for statistical analysis. Results: Data from Simara free mental health clinic shows that the male to female ratio was 0.55:0.44.The age group 30-39(N-25, 28.74%) followed by age group 20-29 (N-19, 21.84%) was the commonest. The farmer were (N-49, 56.31 %) the most common visitor. The highest number of cases were depressive disorder (N-16, 18.93 %) followed by mania/BPAD (N-14, 16.09 %) and Schizophrenia (N-12, 13.73 %). Conclusion: The commonest incidence of psychiatric illness attending the free clinic is depressive disorder and mania/BPAD. DOI: http://dx.doi.org/10.3126/jpan.v2i1.8572 J Psychiatrists’ Association of Nepal Vol .2, No.1, 2013 30-34

scholarly journals UniMóvil: A Mobile Health Clinic Providing Primary Care to the Colonias of the Rio Grande Valley, South Texas

2019 ◽  
Vol 7 ◽  
Author(s):  
Eron G. Manusov ◽  
Vincent P. Diego ◽  
Jacob Smith ◽  
Jesús R. Garza ◽  
John Lowdermilk ◽  
...  
Keyword(s):  
Primary Care ◽  
Mobile Health ◽  
Rio Grande Valley ◽  
Rio Grande ◽  
South Texas ◽  
Health Clinic

scholarly journals Mobile health clinic model in the COVID-19 pandemic: lessons learned and opportunities for policy changes and innovation

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Sharon Attipoe-Dorcoo ◽  
Rigoberto Delgado ◽  
Aditi Gupta ◽  
Jennifer Bennet ◽  
Nancy E. Oriol ◽  
...  
Keyword(s):  
Mobile Health ◽  
Lessons Learned ◽  
Health Clinic ◽  
Policy Changes

scholarly journals Co-design, Co-production, and Co-evaluation Processes for a Mobile Health Check-Up Research Project in Jaipur, India: A Case Study of the Portable Health Clinic, 2016–2020

2021 ◽  
pp. 93-104
Author(s):  
Fumihiko Yokota ◽  
Manish Biyani ◽  
Rafiqul Islam ◽  
Ashir Ahmed ◽  
Mariko Nishikitani ◽  
...  
Keyword(s):  
Mobile Health ◽  
Evaluation Research ◽  
Research Process ◽  
Health Check ◽  
Health Clinic ◽  
Research Project ◽  
The Road ◽  
Road Map ◽  
Research Activities

AbstractThis chapter summarizes the co-design, co-production, and co-evaluation processes of a mobile health check-up research project in Jaipur, India, from March 2016 to June 2020. It is the continuation of our previous paper which was published in November 2018 at Sustainability. The main focus of this chapter is to describe the processes of co-production, co-implementation, and co-evaluation research activities after November 2018. To accomplish this, all documents and materials related to the research processes of co-design, co-production, and co-evaluation were thoroughly reviewed, including minutes from meetings, consultations, workshops, trainings, presentation slides, pictures, and reports. After reviewing the past 4 year’s research process, the road map of a sustainable mobile health check-up project in India was proposed.

scholarly journals Psychiatric morbidity, quality of life and marital satisfaction among spouse of men with opioid dependence syndrome: a study from North India

2017 ◽  
Vol 4 (2) ◽  
pp. 556
Author(s):  
Ruchi Soni ◽  
Ritesh Upadhyay ◽  
Parth Singh Meena ◽  
Mahendra Jain
Keyword(s):  
Quality Of Life ◽  
Marital Satisfaction ◽  
Psychiatric Disorder ◽  
Opioid Dependence ◽  
Short Form ◽  
Psychiatric Morbidity ◽  
Poor Quality ◽  
North India ◽  
Significant Difference

Background: Opioid dependence syndrome has deleterious consequences not only on addict but also on the members of family especially his spouse who is most vulnerable to develop significant psychiatric disorder given the intimate nature of their relationship. Addressing these issues will be beneficial as spouses are important source of moral support and assistance to the substance user’s quest toward abstinence.Methods: For psychiatric morbidity, 100 spouses of men with opioid dependence syndrome were evaluated. Severity of opioid dependence in the husbands was assessed using severity of opioid dependence questioner (SODQ). Quality of life and marital satisfaction was assessed using short form health survey 36 (SF 36) and marital satisfaction scale (MSS) respectively.Results: Data analysis reveals that 33% of spouses had a psychiatric disorder. Primarily mood and anxiety disorder was present in 22% and 9% of subjects respectively. Highly significant difference existed between cases and controls in terms of marital satisfaction (p = 0.0001) and quality of life (p≤0.05) indicating low marital satisfaction and poor quality of life in spouses of opioid dependent individuals.Conclusions: Psychological distress and psychiatric morbidity in spouses of opioid dependent men is high, with poor quality of marital life and marital satisfaction being low. Hence, interventions that aim at allaying their distress and improving their mental health can improve the condition of the substance user and contribute to a better outcome of substance abuse treatment.

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