scholarly journals A comparison of PROMIS Global Health-Mental and legacy orthopedic outcome measures for evaluating preoperative mental health status

2020 ◽  
Vol 19 ◽  
pp. 98-101
Author(s):  
Andrew Palsgrove ◽  
Chad Patton ◽  
Paul King ◽  
Jeffrey Gelfand ◽  
Justin Turcotte
2021 ◽  
Author(s):  
Joyce Y Chung ◽  
Alison Gibbons ◽  
Lauren Atlas ◽  
Elizabeth Ballard ◽  
Monique Ernst ◽  
...  

Abstract Background: The COVID 19 pandemic led to dramatic threats to health and social life. Study objectives are to develop a prediction model leveraging subsample of known Patient/Controls and evaluate the relationship of predicted mental health status to clinical outcome measures and pandemic-related psychological and behavioral responses during lockdown (spring/summer 2020). Methods: Online cohort study conducted by National Institute of Mental Health Intramural Research Program. Convenience sample of English speaking adults (enrolled 4/4 to 5/16/20; n=1,992). Enrollment measures: demographics, clinical history, functional status, psychiatric and family history, alcohol/drug use. Outcome measures (enrollment and q2 weeks/6 months): distress, loneliness, mental health symptoms, and COVID 19 survey. NIMH IRP Patient/Controls survey responses informed assignment of Patient Probability Scores (PPS) for all participants. Regression models analyzed the relationship between PPS and outcome measures. Outcomes: Mean age 46.0, female (82.4%), white (88.9 %). PPS correlated with distress, loneliness, depression, and mental health factors. PPS associated with negative psychological responses to COVID 19. Worry about mental health (OR 1.46) exceeded worry about physical health (OR 1.13). PPS not associated with adherence to social distancing guidelines but was with stress related to social distancing and worries about infection of self/others. Interpretation: Mental health status (PPS) was associated with concurrent clinical ratings and COVID 19 specific negative responses. A focus on mental health during the pandemic is warranted, especially among those with mental health vulnerabilities. We will include PPS when conducting longitudinal analyses of mental health trajectories and risk and resilience factors that may account for differing clinical outcomes. Funding: NIMH (ZIAMH002922); NCCIH (ZIAAT000030)


2018 ◽  
Vol 42 (3-4) ◽  
pp. 161-173
Author(s):  
Sarah Beehler ◽  
Sy Han (Steven) Chiou ◽  
B R. Balmer ◽  
Xuan Li

2020 ◽  
Author(s):  
Meiqi Xin ◽  
Sitong Luo ◽  
Rui She ◽  
Yanqiu Yu ◽  
Lijuan Li ◽  
...  

2020 ◽  
Vol 103 (11) ◽  
pp. 1185-1193

Background: The systemic lupus erythematosus (SLE) patients oftentimes suffer from both physical and psychosocial challenges that may lead to low health-related quality of life (HRQoL). However, limited research has been done in this area. Objective: To examined mental health status and HRQoL among SLE patients in Thailand. Materials and Methods: The present study was a cross-sectional study conducted at the rheumatology clinic of four major hospitals in Thailand. The paper-based questionnaire consisted of demographic, health history such as depression, anxiety, stress Scale (DASS-21), and the Rosenberg self-esteem scale (RSE), and the disease-specific Lupus Quality of Life scale (LupusQoL). Depending on the variable’s level of measurement such as categorical or continuous, Spearman’s Rho or Pearson’s product moment correlation coefficients were used to explore the relationships among the variables. Hierarchical multiple regression was used to identify the predictors of LupusQoL. Results: Among the 387 participants, many might have experienced depression, anxiety, and stress (30%, 51%, and 29%, respectively). Self-esteem among the participants was good (31.8 out of 40). All eight domains of LupusQoL were affected with intimate relationship domain being impacted the most. The overall LupusQoL was significantly associated with the number of prescribed medications (r=–0.23), depression (r=–0.70), anxiety (r=–0.58), stress (r=–0.67), and self-esteem (r=0.59), p<0.001. Significant predictors of the overall LupusQoL were mental health status (depression, anxiety, and stress) and self-esteem, F (3, 81)=43.10, p<0.001, adjusted R²=0.60. Conclusion: SLE patients should be holistically assessed in both physical and psychological aspects. In addition to proper medical treatments, healthcare providers should use a multidisciplinary team approach to resolve the patients’ psychosocial issues, which in turn, may increase the patients’ quality of life. Self-care education may be necessary to help the patients manage the condition and decrease the number of medications. Keywords: Mental health, Quality of life, SLE, Thailand


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