Background The frequency and severity of falls of psychiatric inpatients in Thailand have not been previously reported. Also, the risk factors of falls have been numerous and complicated. This study aimed to investigate the staffing factors and patient-related factors that increase the likelihood of falls among psychiatric inpatients. Methods A five-year retrospective matched case–control study was conducted that selected cases of inpatients who fell and which were reported to the hospital risk management system. Subjects were compared to two control patients from the same hospital (1:2) by age (± 5 years), sex, and admission the same year. The total sample consisted of 240 patients. Univariate and multivariate conditional logistic regression was used to analyze the data. Results Of the eighty falls, 86.3% resulted in temporary harm and required intervention. The multivariate model showed that three patient-related factors were associated with increased inpatient falls: (1) having an acute psychotic condition (adjusted odds ratio (AOR) = 4.34; 95% CI 1.45, 13.05; p < 0.05), (2) polypharmacy with more than four types of medicines (AOR = 3.06; 95% CI 1.59, 5.88; p < 0.05), and (3) taking atypical psychiatric drugs (AOR = 2.74; 95% CI 1.35, 5.58; p < 0.05). Staffing for 26–50 patients in the wards was more protective for falls than with 25 or fewer patients (AOR = .17; 95% CI 0.04, 0.72; p < 0.05). Conclusions The risk factors found may help assess fall risk and manage the number of patients in psychiatric units. Drug dosage and drug interaction of antipsychotic drugs and cardiovascular agents with other medications and drug administration timing before falls are recommended for further investigation. Also, staff ratio per patient and the proportion of staff mix in psychiatric units need further study to establish adequate levels of surveillance to prevent inpatient falls.
Background The time between discharge from hospital and transition to community and home is a critical period for health status among patients with a mental illness, including patients with schizophrenia. This study aimed to investigate crucial patient factors (patient-level) and hospital factors (hospital-level) affecting health status and see whether patient factor effects on health status vary with hospital factors, 30 days after hospital discharge. Methods This is a prospective study of 1255 patients with schizophrenia and their primary caregivers from 13 public mental hospitals across Thailand. Logistic regression and multi-level logistic regression was used to investigate the effects of patient and hospital factors simultaneously on health status, 30 days after hospital discharge. Results The intraclass correlation coefficient indicated that 14% of the change in health status was explained by the differences between hospital. Poor health status was identified in 14.26% of patients, 30 days after hospital discharge. The majority of participant patients were male (69.8%), single (71.87%), and the average age was 38.09 (SD = 9.74). The finding also showed that the patient factors; being female (ORadj .53, 95%CI .31,.92), perceived moderate and high levels of positive aspect of caregiving (ORadj .24, 95%CI .14,.42 and ORadj .05, 95%CI .02,.09), perceived readiness for hospital discharge (ORadj .21, 95%CI .13,.33), partial and full adherence to treatment (ORadj .24, 95%CI .14,.42 and ORadj .31, 95%CI .20,.47) showed a reduced likelihood of developing poor health status except substance use (ORadj 1.55, 95%CI .98, 2.44). Hospital factors; discharge planning process and nurse-patient ratio (ORadj 1.64, 95%CI 1.17, 2.30 and ORadj 1.16, 95%CI 1.09, 1.22) showed an increased likelihood of developing poor health status, 30 days after hospital discharge. Conclusions Findings provide relevant information on how both patient and hospital factors determine health status. These results might lead to better targeting of mental health service policy and enable more precise information gathering and allocation of resources. However, future research should be more focused and continue investigating the pathways through which hospital factors influence health status post-discharge.
Background Depressive symptoms are globally recognized as a significant mental health problem in patients with chronic disease, particularly those with systemic lupus erythematosus (SLE). The purpose of this study was to estimate the prevalence and examine biopsychosocial factors of depressive symptoms among patients with SLE. Methods This cross-sectional study was conducted among 185 participants diagnosed with SLE and received treatment for at least 3 months, aged 18–59 years attending the outpatient clinic of a university hospital, Bangkok, Thailand. Depressive symptoms were measured by the Thai version of the Patient Health Questionnaire-9. We assessed Demographic data, the Systemic Lupus Erythematosus Activity Index, the Systemic Lupus International Collaborating Clinics Damage Index, Numeric Rating Scale, Fatigue Severity Scale, Body Image Scale, and the ENRICHD Social Support Instrument. Data were collected from March to May 2021. Multivariable logistic regression was used to analyze the data. Results The proportion of the participants with depressive symptoms was 43.2%, which 8.1% of those patients presented moderate to severe depressive symptoms. In a multivariable logistic regression model, SLE patients with depressive symptoms were more likely to be severe pain (aOR = 12.11, 95% CI: 1.35, 108.46), fatigue (aOR = 2.36, 95%CI: 1.08, 5.14), taking prednisolone ≥15 mg daily (aOR = 5.75, 95%CI: 1.76, 18.80), low satisfied of body image (aOR = 12.49, 95%CI: 2.23, 69.80), and low social support (aOR = 17.96, 95% CI: 1.86, 173.77). Disease flare, organ damage, and family income sufficiency did not significantly increase the risk of depressive symptoms in patients with SLE. Conclusions The findings highlight depressive symptoms in patients with SLE. Therefore, the health professional should be concerned about the perception of body image, level of social support, fatigue, and pain while treating patients with SLE. Public health screening programs to identify depressive symptoms in patients with SLE are needed. In addition, a high dose of prednisolone should be considered if required, along with monitoring.
PurposeAlthough health-related quality of life (HRQOL) has become an important outcome, specifically in regard to the impact of illness and treatment in patients with depression, few studies have explored the HRQOL of patients from different types of hospitals. This study aimed at examining a change in HRQOL of patients from various types of hospitalsDesign/methodology/approachA repeated measure was used in this study. Thirty participants in psychiatric outpatient units per center from the different types of hospitals, including a psychiatric hospital, regional hospital, general hospital and community hospital, were assessed with the Thai version of the World Health Organization Quality of Life Brief (WHOQOL-BREF-THAI) questionnaire at the first visit, and after the 6th and 12th weeks of the treatment course.FindingsThe HRQOL scores for the participants were increased in each type of hospital from their first visit to the 6th week and 12th week (p < 0.001; except for the 6th week in the regional hospital, p < 0.01).Originality/valueThe findings reflected HRQOL in patients with depression in terms of the resources available in different types of hospitals that could be used as baseline data for the development of Thai mental health service systems.
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