scholarly journals A pilot comparison of medical records sensitivity perspectives of patients with behavioral health conditions and healthcare providers

2021 ◽  
Vol 27 (2) ◽  
pp. 146045822110099
Author(s):  
Hiral Soni ◽  
Julia Ivanova ◽  
Adela Grando ◽  
Anita Murcko ◽  
Darwyn Chern ◽  
...  

This pilot study compares medical record data sensitivity (e.g., depression is sensitive) and categorization perspective (e.g., depression categorized as mental health information) of patients with behavioral health conditions and healthcare providers using a mixed-methods approach employing patient’s own EHR. Perspectives of 25 English- and Spanish-speaking patients were compared with providers. Data categorization comparisons resulted in 66.3% agreements, 14.5% partial agreements, and 19.3% disagreements. Sensitivity comparisons obtained 54.5% agreement, 11.9% partial agreement, and 33.6% disagreements. Patients and providers disagreed in classification of genetic data, mental health, drug abuse, and physical health information. Factors influencing patients’ sensitivity determination were sensitive category comprehension, own experience, stigma towards category labels (e.g., drug abuse), and perception of information applicability (e.g., alcohol dependency). Knowledge of patients’ sensitivity perceptions and reconciliation with providers could expedite the development of granular and personalized consent technology.

2018 ◽  
Vol 4 ◽  
pp. 205520761876220 ◽  
Author(s):  
Alice Verran ◽  
Ayesha Uddin ◽  
Rachel Court ◽  
Frances Taggart ◽  
Paul Sutcliffe ◽  
...  

Objective To describe the latest evidence of effectiveness and impact of networked communication interventions for young people with mental health conditions. Methods Searching five databases from 2009 onwards, we included studies of any design investigating two-way communication interventions for the treatment of young people (mean age 12–25) with a chronic mental health disorder. The data were synthesised using narrative summary. Results Six studies met the inclusion criteria, covering a range of mental health conditions (depression, psychosis, OCD). Interventions included an online chat room ( n = 2), videoconferencing ( n = 3) and telephone ( n = 1). Where studies compared two groups, equivalence or a statistically significant improvement in symptoms was observed compared to control. Views of patients and clinicians included impact on the patient-clinician interaction. Clinicians did not feel it hindered their diagnostic ability. Conclusion Networked communication technologies show promise in the treatment of young people with mental health problems but the current available evidence remains limited and the evidence base has not advanced much since the previous inception of this review in 2011. Practice implications Although the available research is generally positive, robust evidence relating to the provision of care for young persons via these technologies is lacking and healthcare providers should be mindful of this.


2020 ◽  
Author(s):  
Bu Zhong ◽  
Zhibin Jiang ◽  
Wenjing Xie ◽  
Xuebing Qin

BACKGROUND Considerable research has been devoted to examining the mental health conditions of patients with COVID-19 and medical staff attending to these patients during the COVID-19 pandemic. However, there are few insights concerning how the pandemic may take a toll on the mental health of the general population, and especially of nonpatients (ie, individuals who have not contracted COVID-19). OBJECTIVE This study aimed to investigate the association between social media use and mental health conditions in the general population based on a national representative sample during the peak of the COVID-19 outbreak in China. METHODS We formed a national representative sample (N=2185) comprising participants from 30 provinces across China, who were the first to experience the COVID-19 outbreak in the world. We administered a web-based survey to these participants to analyze social media use, health information support received via social media, and possible psychiatric disorders, including secondary traumatic stress (STS) and vicarious trauma (VT). RESULTS Social media use did not cause mental health issues, but it mediated the levels of traumatic emotions among nonpatients. Participants received health information support via social media, but excessive social media use led to elevated levels of stress (<i>β</i>=.175; <i>P</i>&lt;.001), anxiety (<i>β</i>=.224; <i>P</i>&lt;.001), depression (<i>β</i>=.201; <i>P</i>&lt;.001), STS (<i>β</i>=.307; <i>P</i>&lt;.001), and VT (<i>β</i>=.688; <i>P</i>&lt;.001). Geographic location (or geolocation) and lockdown conditions also contributed to more instances of traumatic disorders. Participants living in big cities were more stressed than those living in rural areas (<i>P</i>=.02). Furthermore, participants from small cities or towns were more anxious (<i>P</i>=.01), stressed (<i>P</i>&lt;.001), and depressed (<i>P</i>=.008) than those from rural areas. Obtaining more informational support (<i>β</i>=.165; <i>P</i>&lt;.001) and emotional support (<i>β</i>=.144; <i>P</i>&lt;.001) via social media increased their VT levels. Peer support received via social media increased both VT (<i>β</i>=.332; <i>P</i>&lt;.001) and STS (<i>β</i>=.130; <i>P</i>&lt;.001) levels. Moreover, geolocation moderated the relationships between emotional support on social media and VT (<i>F</i><sub>2</sub>=3.549; <i>P</i>=.029) and the association between peer support and STS (<i>F</i><sub>2</sub>=5.059; <i>P</i>=.006). Geolocation also interacted with health information support in predicting STS (<i>F</i><sub>2</sub>=5.093; <i>P</i>=.006). CONCLUSIONS COVID-19 has taken a severe toll on the mental health of the general population, including individuals who have no history of psychiatric disorders or coronavirus infection. This study contributes to the literature by establishing the association between social media use and psychiatric disorders among the general public during the COVID-19 outbreak. The study findings suggest that the causes of such psychiatric disorders are complex and multifactorial, and social media use is a potential factor. The findings also highlight the experiences of people in China and can help global citizens and health policymakers to mitigate the effects of psychiatric disorders during this and other public health crises, which should be regarded as a key component of a global pandemic response.


2020 ◽  
Vol 4 (s1) ◽  
pp. 150-151
Author(s):  
Brandy Davis ◽  
Kimberly B. Garza ◽  
Salisa Westrick ◽  
Edward Chou ◽  
Cherry Jackson

OBJECTIVES/GOALS: There are two objectives: 1) To identify healthcare providers’ (HCP) barriers and potential solutions towards rural adolescents’ access to mental healthcare. Healthcare providers include pharmacists, physicians, and mental healthcare providers (MHPs). 2) To identify rural high schoolers’ barriers and potential solutions towards access to mental healthcare. METHODS/STUDY POPULATION: Fifteen HCPs will be recruited via email listserv and the snowball method. Perceived barriers of rural adolescents, personal barriers, current practices to address mental health in adolescents, and preferred solutions will be discussed. Twenty student and parent dyads will be recruited using fliers in school systems and will be interviewed individually outside of class time on school grounds or over the phone. Barriers to care and preferred solutions will be discussed. All interviews will be semi-structured, recorded, conducted in person or over the phone, and last for 30 minutes to an hour. Compensation will be $25 for students and parents each, $50 for pharmacists and mental health providers and $100 for physicians. Thematic qualitative data analysis will be performed using Atlas.ti software. RESULTS/ANTICIPATED RESULTS: Data collection is ongoing. Anticipated results for barriers include absence of mental healthcare providers in rural areas, inability to access mental healthcare providers further away, stigma towards mental healthcare, and lack of knowledge of mental health conditions and treatment. Anticipated results for potential solutions may include promoting mobile applications to assist with telehealth and self-care. Other solutions may be collaboration among rural healthcare providers for adolescents with mental health conditions. Preferred solutions may also include pharmacists disseminating knowledge to rural adolescents and their parents or referrals to mental healthcare providers. DISCUSSION/SIGNIFICANCE OF IMPACT: This project will identify barriers and solutions to access to mental healthcare among rural adolescents. These solutions can then be applied towards the creation of programs that address salient issues within rural communities with a greater chance of uptake and use so that rates of depression and suicide will decrease. CONFLICT OF INTEREST DESCRIPTION: Funding through UAB TL1 award.


Author(s):  
Hiba K. Anis ◽  
Jared A. Warren ◽  
Alison K. Klika ◽  
Suparna M. Navale ◽  
Guangjin Zhou ◽  
...  

AbstractThe purpose of this study was to compare the prevalence of mental health conditions among patients undergoing (1) primary total knee arthroplasty (pTKA), (2) septic revision total knee arthroplasty (rTKA), and (3) aseptic revision total knee arthroplasty (TKA). The State Inpatient Databases were queried for all TKAs from 2005 to 2014 yielding 563,144 patients. Patients were separated into the following cohorts: primary, septic revision, and aseptic revision. Diagnoses of any mental health condition and the following specific conditions were compared between the three cohorts: schizophrenia/delusion, bipolar disorder, depression/mood disorder, personality disorder, anxiety/somatic/dissociative disorder, eating disorders, attention deficit hyperactivity disorder /conduct/impulse control, alcohol abuse, and drug abuse. Throughout the study period, an increase in the prevalence of mental health conditions was observed in septic and aseptic revision patients. Overall, there was a significantly higher prevalence of mental health conditions in the septic revision cohort (22.7%) compared with the primary (17.8%, p < 0.001) and aseptic revision (20.0%, p < 0.001) cohorts. Specifically, septic revision TKA patients had a higher prevalence of depression (p < 0.001), alcohol abuse (p < 0.001), drug abuse (p < 0.001), schizophrenia (p = 0.0007), and bipolar disorder (p < 0.001), compared with primary TKA patients. Additionally, there was a significantly higher prevalence of depression (p < 0.001), alcohol abuse (p < 0.001), and drug abuse (p < 0.001) among septic revision patients compared with aseptic revision patients. Mental health conditions were significantly higher among septic revision patients. Alcohol and drug abuse were approximately twice as prevalent in septic revision patients compared with primary and aseptic revision patients. These findings should serve as a call to action for mental health support for patients suffering from PJI.


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