Examining determinants of control of metabolic syndrome among older adults with NCDs receiving service at NCD Plus clinics: multilevel analysis.

BACKGROUND: Metabolic syndrome (MetS) in older adults with hypertension, diabetes, and hyperlipidemia increases the risks of cardiovascular diseases by 2.5 times and type 2 diabetes by five times. This study aimed to explain the multilevel relationships between health service system factors and individual-level factors influencing the control of MetS among older adults with NCDs receiving health care services at the NCD Plus clinics of hospitals in 1 year. METHODS: This cross-sectional analytical study employed a systematic sampling method to have two groups of samples from 4 regions of Thailand: (1) 600 older adults having at least one diagnosis of NCDs receiving services at NCD Plus clinics and (2) 12 nurses in charge of the NCD Plus clinics at the hospitals providing services to these patient samples. Data were analyzed using multilevel logistic regression analysis. RESULTS: 24% of older adults with NCDs can control MetS within one year. The MetS escalation from the initial assessment to 1-year follow-up varied according to the level of the hospitals. The transition from MetS to non-MetS status was rare in older adults with NCDs. Among health service system factors, complete screening for MetS influenced 1-year MetS control (95% CI [1.06, 2.92]). Older adults who were female and who had polypharmacy had a 66% (95% CI [0.22, 0.53]) and a 54% (95% CI [0.29 - 0.71]) reduction chance in MetS control. Older adults, who were ≥ 80 years old, labor-employed, healthy dietary patterns, and medication adherence increased chances of controlling MetS by 2.38 times (95% CI [1.12, 5.05]), 2.14 times (95% CI [1.03, 4.42]), 1.61 times (95% CI [1.06-2.46]), and 3.18 times (95% CI [1.51, 6.70]), respectively. CONCLUSIONS: NCDs Plus clinics that provide complete screening for MetS significantly enhance their effectiveness in reducing the proportion of older adults with MetS. In addition, the service should pay attention to older adults who are female, are retired, and take multiple medications to achieve MetS control better. The insights gained from such an analysis could be instrumental in pinpointing the resources necessary to bolster the efficacy of NCD Plus clinics.

Incident of violence escalation of patients with psychiatric emergencies boarding in the emergency department in the central region of Thailand and its association: a prospective observational study.

BACKGROUND: This study investigates the incidence of violence escalation among psychiatric emergency patients admitted to general emergency departments in hospitals in central Thailand. In addition, patient and service delivery system factors associated with the survival time of violence escalation in 16 emergency departments in the central region of Thailand are determined. This is a prospective observational study, and the study sample includes 507 psychiatric emergency patients who are ≥ 18 years old. The patients are selected through stratified random and purposive sampling. METHODS: Patient data-including demographic data, emergency services used, and clinical characteristics-are analyzed using descriptive statistics. The Kaplan-Meier method estimates the violence escalation curve, and the log-rank test compares the violence escalation-free time between the levels of the violent behavior group. In addition, univariable and multivariable Cox proportional hazard analyses are performed to investigate the factors affecting violence escalation. RESULTS: The incidence of violence escalation in psychiatric emergency patients in the emergency department is 7.3%, whereas the incidence rate of violence escalation is 3 per 100 psychiatric emergency patient visit hours. Factors affecting violence escalation include the violent behavior score at triage (aHR = 2.004; 95% CI: 1.051-3.823) and the nurse competency score (aHR = 0.147; 95% CI: 0.032-0.680). CONCLUSIONS: Assessing the violent behavior of psychiatric emergency patients at triage may assist emergency providers in monitoring patient behavior and providing early intervention to prevent the escalation of violent behavior. Furthermore, training emergency nurses in psychiatric emergency care is necessary.

Prevalence and biopsychosocial factors associated with depressive symptoms among patients living with systemic lupus erythematosus in clinical settings in urban Thailand.

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.

Determinants of continuing mental health service use among older persons diagnosed with depressive disorders in general hospitals: latent class analysis and GEE.

BACKGROUND: Prevalence of depression in older persons was a leading cause of disability. This group has the lowest access to service and retention in care compared to other age groups. This study aimed to explore continuing mental health service use and examined the predictive power of the mental health service delivery system and individual factors on mental health service use among older persons diagnosed with depressive disorders. METHODS: We employed an analytic cross-sectional study design of individual and organizational variables in 12 general hospitals selected using multi-stratified sampling. There were 3 clusters comprising community hospitals, advanced and standard hospitals, and university hospitals. Participants in each group were 150 persons selected by purposive sampling. We included older persons with a first or recurring diagnosis of a depressive disorder in the last 6 to 12 months of the data collection date. Data at the individual level included socio-demographic characteristics, Charlson Comorbidity Index, Attitude toward Depression and its treatment, and perceived social support. Data at the organizational level had hospital level, nurse competency, nurse-patient ratio, and appointment reminders. Descriptive statistics, Pearson chi-square test, latent class analysis (LCA), and marginal logistic regression model using generalized estimating equation (GEE) were used to analyze the data. RESULTS: The continuing mental health service use among older persons diagnosed with depressive disorders was 54%. The latent class analysis of four variables in the mental health services delivery organization yielded distinct and interpretable findings in two groups: high and low resource organization. The marginal logistic multivariable regression model using GEE found that organizational group and attitude toward depression and its treatment were significantly associated with mental health service use (p-value = 0.046; p-value = 0.003). CONCLUSIONS: The findings suggest that improving continuing mental health services use in older persons diagnosed with depressive disorders should emphasize specialty resources of the mental health services delivery system and attitude toward depression and its treatment.

Prevalence and distribution pattern of mood swings in Thai adolescents: a school-based survey in the central region of Thailand.

BACKGROUND: Mood swings (MS) are a widely discussed psychiatric ailment of youthful patients. However, there is a lack of research about MS in this population. METHODS: A school-based, cross-sectional study was conducted to investigate the prevalence and distribution pattern of mood swings due to personal and contextual determinants in Thai adolescents in the central region of Thailand. Participants were 2598 students in high schools and vocational schools in Bangkok and three provinces in the central region of Thailand. RESULTS: The prevalence of mood swings was 26.4%. It was highest among vocational students in Bangkok at 37.1%. MS were more common in adolescents who exhibited risk behaviors and who resided in hazardous situations. The probabilities of MS by characteristic in 15-24 years olds were: bullying involvement 36.9% (n = 1293), problematic social media use 55.9%(n = 127), high expressed emotion in family 36.6% (n = 1256), and studying in a vocational program 29.5% (n = 1216) and school located in Bangkok 32.4% (n = 561). Also, substance use was a risk for MS with cannabis use at 41.8%(n = 55) and heroin use at 48.0% (n = 25). Hierarchical logistic regression analysis showed that female gender, having a family history of mental problems, bullying involvement, problematic social media use, high expression of emotion in the family, and the interaction between vocational program enrollments and metropolitan/urban residence associated adolescent mood swings (p < .05). CONCLUSIONS: Findings indicate that the pattern of mood swings was associated with significant bullying involvement, social media use, family circumstance, and school characteristics. The public needs greater awareness of MS patterns and the positive implications of MS screening. Early preventive interventions that may limit later mental illness are needed.

Hospital and patient factors influencing the health status among patients with schizophrenia, thirty days after hospital discharge: multi-level analysis.

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.

The Effect of a Drug Adherence Enhancement Program on the Drug Adherence Behaviors of Patients With Major Depressive Disorder in Thailand: A Randomized Clinical Trial.

This study aimed to compare drug adherence behaviors during the sixth week between patients with first diagnosed major depressive disorder who received the Drug Adherence Enhancement Program and those who received only the usual care. A randomized clinical trial, post-test only design was conducted in the outpatient-unit of a medical school hospital in Bangkok, Thailand. The experimental and control groups consisted of 30 and 26 participants respectively. Participants in the experimental group exhibited significantly higher drug adherence behaviors than the control group. This is important for nurses in promoting adherence to antidepressant drugs for patients with first diagnosed major depressive disorder.

Association between socioecological factors and electronic cigarette use among Thai youth: an institution-based cross-sectional study.

OBJECTIVES: This study aimed to examine cigarette use distribution, pattern of e-cigarette use and to determine socioecological model (SEM) factors associated with e-cigarette use among Thai youth (aged 15-24). DESIGN: An institution-based cross-sectional study. PARTICIPANTS: The study conducted in five regions: the north, south, central, northeast and Bangkok area of Thailand from May to October 2021. An internet-based, self-administered questionnaire was developed based on the SEM. We enrolled 13 139 students who understood Thai and voluntarily consented to participate in the study. Hierarchical generalised estimating equations identified the related factors to e-cigarette use consistent with the SEM. RESULTS: Of 12 948 respondents (95.5%), 181 were excluded due to a lack of cigarette use status. Of 12 767, the prevalence of cigarette use was 4.3%, e-cigarette use was 3.5% and dual-use was 2.4%. E-cigarettes were a much more favourable choice among female youth than cigarettes. E-cigarette users tended to express more positive beliefs towards e-cigarettes than non-users. Although the use of e-cigarettes is illegal in Thailand, 66% of users obtained e-cigarettes from online markets and 4% from grocery stores. We found that having a girlfriend or boyfriend who uses e-cigarettes increased the odds of e-cigarette use by 3.239 times. Interestingly, higher odds of e-cigarette use were associated with peer use than with sibling use among e-cigarette users. (Adjusted OR 2.786, 95% CI 1.844 to 4.208 and 2.485, 95% CI 1.402 to 4.404, respectively). Exposure to e-cigarette use in school increased the odds of e-cigarette use by four times. CONCLUSION: This institution-based cross-sectional study revealed that youth e-cigarette use is a significant problem. To prevent the increasing rate of e-cigarette use, health literacy about e-cigarette use, including media and information literacy, should be launched across all levels of the school environment to enlist youth to stand against the negative impacts of e-cigarette use among all those of school age.

Staffing and patient-related factors affecting inpatient falls in a psychiatric hospital: a 5-year retrospective matched case-control study.

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.