Investigation of time-dependent risk of mental disorders after infertility diagnosis, through survival analysis and data mining: a nationwide cohort study.

OBJECTIVES: Infertile patients are vulnerable to mental disorders. However, a time-dependent model predicting the onset of mental disorders specific to infertile patients is lacking. This study examined the risk factors for the development of mental disorders in infertile patients and measured the duration until the occurrence of mental disorders after a diagnosis of infertility. METHODS: A total of 13,317 infertile patients in the 2002-2013 Taiwan National Health Insurance Research Database were observed. The 11 independent variables included in the hypothesised model, together with the dates of infertility and mental disorder diagnoses, were analysed using Cox proportional hazards. Data-mining methods using C5.0 and Apriori supplemented the statistical analyses. RESULTS: The total prevalence rate of mental disorders among infertile patients in Taiwan was 12.41%, including anxiety (4.66%), depression (1.81%) and other mental disorders (5.94%). The average time interval for onset of mental illness identified using survival analysis was 1.67 years. Income, occupation, treatment method, co-morbidity, region and hospital level and ownership were significant predictors of development of mental illness (all p < .05). CONCLUSIONS: The four categories of factors associated with time-dependent onset were demographics, health, health care provider and geographical characteristics. Certain patient characteristics may predict a higher likelihood of onset of a specific mental disorder. Clinical practitioners may use the findings to identify high-risk patients and make timely health interventions.

Attitudes toward inter-hospital electronic patient record exchange: discrepancies among physicians, medical record staff, and patients.

BACKGROUND: In this era of ubiquitous information, patient record exchange among hospitals still has technological and individual barriers including resistance to information sharing. Most research on user attitudes has been limited to one type of user or aspect. Because few analyses of attitudes toward electronic patient records (EPRs) have been conducted, understanding the attitudes among different users in multiple aspects is crucial to user acceptance. This proof-of-concept study investigated the attitudes of users toward the inter-hospital EPR exchange system implemented nationwide and focused on discrepant behavioral intentions among three user groups. METHODS: The system was designed by combining a Health Level 7-based protocol, object-relational mapping, and other medical informatics techniques to ensure interoperability in realizing patient-centered practices. After implementation, three user-specific questionnaires for physicians, medical record staff, and patients were administered, with a 70 % response rate. The instrument showed favorable convergent construct validity and internal consistency reliability. Two dependent variables were applied: the attitudes toward privacy and support. Independent variables comprised personal characteristics, work characteristics, human aspects, and technology aspects. Major statistical methods included exploratory factor analysis and general linear model. RESULTS: The results from 379 respondents indicated that the patients highly agreed with privacy protection by their consent and support for EPRs, whereas the physicians remained conservative toward both. Medical record staff was ranked in the middle among the three groups. The three user groups demonstrated discrepant intentions toward privacy protection and support. Experience of computer use, level of concerns, usefulness of functions, and specifically, reason to use electronic medical records and number of outpatient visits were significantly associated with the perceptions. Overall, four categories of independent variables were associated with the mean difference in the perceptions. CONCLUSIONS: Discrepant attitudes toward privacy and support among the three user groups are identified. Patients may require further education and communication regarding the system. Culturally fit e-Consent should be incorporated into the system to fully utilize the computing power of the Internet when also considering workload. The concern for misuse of EPRs might lead to low support among physicians. Highly readable EPR documents and managerial incentives for information exchange may improve system use.

Association between use of different long-term care services and risks of mental disorder and mortality as well as medical utilization.

Objective: This study sought to investigate mental disorder and mortality risks and medical utilization among various long-term care (LTC) services and examine the associated factors. Methods: This retrospective cohort study used data from the National Health Insurance Research Database of the entire population of Taiwan recorded between 2006 and 2017. A total of 41,407 patients using LTC (study group) were identified and propensity score-matched with 41,407 LTC nonusers (control group) at a ratio of 1:1 according to sex, age, salary-based premium, comorbidity index score, and urbanization level. Patients were divided into four groups according to LTC service type. The age distribution was as follows: 50-60 years (10.47%), 61-70 years (14.48%), 71-80 years (35.59%), and 81 years and older (39.45%). The mean age was 70.18 years and 53.57% of female participants were included. The major statistical methods were the Cox proportional hazards model and the general linear model (GLM). Results: Users of both institutional and inhome LTC services had the highest risk of mental disorder [adjusted hazard ratio (aHR) = 3.2]. The mean mortality rate in LTC nonusers was 46.2%, whereas that in LTC users was 90.4%, with the highest found among the users of both institutional and inhome LTC (90.6%). The institutional LTC users had the shortest survival time (4.1 years). According to the adjusted Cox model analysis, the odds of mortality was significantly higher among institutional LTC users than among inhome LTC users (aHR = 1.02). After the adjustment of covariates, adjusted GLM model results revealed that the annual medical expenditure per capita of LTC nonusers was NT$46,551, which was 1.6 times higher that of LTC users. Conclusion: Users of both institutional and inhome LTC services have higher risk of mental disorder, shorter survival time, and lower medical utilization.

Investigating Medical Cost and Mortality Among Psychiatric Patients Involuntary Admissions: A Nationwide Propensity Score-Matched Study.

OBJECTIVE: Involuntary admission to psychiatric inpatient care can protect both patients with severe mental illnesses and individuals around them. This study analyzed annual healthcare costs per person for involuntary psychiatric admission and examined categories of mental disorders and other factors associated with mortality. METHODS: This retrospective cohort study collected 1 million randomly sampled beneficiaries from the National Health Insurance Database for 2002-2013. It identified and matched 181 patients with involuntary psychiatric admissions (research group) with 724 patients with voluntary psychiatric admissions (control group) through 1:4 propensity-score matching for sex, age, comorbidities, mental disorder category, and index year of diagnosis. RESULTS: Mean life expectancy of patients with involuntary psychiatric admissions was 33.13 years less than the general population. Average annual healthcare costs per person for involuntary psychiatric admissions were 3.94 times higher compared with voluntary admissions. The general linear model demonstrated that average annual medical costs per person per compulsory hospitalization were 5.8 times that of voluntary hospitalization. Survival analysis using the Cox proportional hazards model found no significant association between type of psychiatric admission (involuntary or voluntary) and death. CONCLUSION: This study revealed no significant difference in mortality between involuntary and voluntary psychiatric admissions, indicating involuntary treatment's effectiveness.

Effects of Job Burnout and Emotional Labor on Objective Structured Clinical Examination Performance Among Interns and Residents in Taiwan.

Medical education faces challenges concerning job burnout and emotional labor among junior physicians, which poses a potential threat to the quality of medical care. Although studies have investigated job burnout and emotional labor among physicians, empirical research on the association between job burnout, emotional labor, and clinical performance is lacking. This study investigated the effects of job burnout and emotional labor on clinical performance by using the objective structured clinical examination (OSCE) scores of interns and residents. Specifically, this cross-sectional study utilized the Maslach Burnout Inventory and the Emotional Labor Questionnaire as measurement instruments. A total of 225 interns and residents in central Taiwan answered structured questionnaires before beginning their OSCE. The major statistical analysis method employed was logistic regression. After adjustment for covariates, first-year residents were less likely than other residents to obtain high OSCE scores. The odds of high OSCE performance among interns and residents with high interaction component scores in emotional labor were significantly higher than those with low interaction scores. A high score in the interaction dimension of emotional labor was associated with strong clinical performance. The findings suggest that interventions which motivate positive attitudes and increase interpersonal interaction skills among physicians should receive higher priority.

Parallel contagion phenomenon of concordant mental disorders among married couples: a nationwide cohort study.

BACKGROUND: The aggregation of mental disorders in couples, as reported by prior research, indicates the effect of familial environments and warrants attention. However, the concordant categories of mental disorders in couples remain unclear. This study investigated spousal concordance for the category of mental disorders among couples throughout Taiwan by using factors associated with such disorders. METHODS: 5643 couples in the 2002-2013 Taiwan National Health Insurance Research Database were analysed and compared with propensity-matched 5643 non-couples. Twelve independent variables, including spouse and shared characteristics, and the category of mental disorders were analysed, mainly by using multinomial logistic regression. RESULTS: The determined prevalence rates for concordant categories of mental disorder were 0.19% for affective disorders, 6.96% for anxiety disorders, and 3.15% of other mental disorders. Multinomial logistic regression results revealed that two spouses were significantly more likely to be diagnosed with the same category of the aforementioned mental disorders (ORs=2.914, 1.776 and 1.727, respectively). Other associated factors included gender, age, occupation, comorbidity and region. The odds of concordances were significantly higher in couples than in non-couples. CONCLUSIONS: A category of mental disorder in one spouse is a determinant of that in the other spouse. This study extended the emotional contagion theory to the phenomenon of parallel contagion to reflect the three concordances, suggesting a direction of family-based mental health intervention, particularly prevention for the same category of mental disorders in couples. Policymakers should strengthen the coping strategies of the caring spouse and external support system to psychiatrically vulnerable families.

Investigating the Relationships among Stressors, Stress Level, and Mental Symptoms for Infertile Patients: A Structural Equation Modeling Approach.

OBJECTIVE: Patients with infertility are a high risk group in depression and anxiety. However, an existing theoretically and empirically validated model of stressors, stress, and mental symptoms specific for infertile patients is still a void. This study aimed to determine the related factors and their relational structures that affect the level of depressive and anxiety symptoms among infertile patients. METHODS: A cross-sectional sample of 400 infertility outpatients seeking reproduction treatments in three teaching hospitals across Taiwan participated in the structured questionnaire survey in 2011. The hypothesized model comprising 10 latent variables was tested by Structural Equation Modeling using AMOS 17. RESULTS: Goodness-of-fit indexes, including χ2/DF = 1.871, PGFI = 0.746, PNFI = 0.764, and others, confirmed the modified model fit the data well. Marital stressor, importance of children, guilt-and-blame, and social stressor showed a direct effect on perceived stress. Instead of being a factor of stress, social support was directly and positively related to self-esteem. Perceived stress and self-esteem were the two major mediators for the relationships between stressors and mental symptoms. Increase in social support and self-esteem led to decrease in mental symptoms among the infertile patients. CONCLUSIONS: The relational structures were identified and named as the Stressors Stress Symptoms Model, clinically applied to predict anxiety and depression from various stressors. Assessing sources and level of infertility-related stress and implementing culturally-sensitive counseling with an emphasis on positive personal value may assist in preventing the severity of depression and anxiety.

Effect of prescription refill on quality of care among patients with type 2 diabetes: an exploratory study.

AIM: Prescription refill might be effective in saving health expenditures, but whether a refilled prescription that reduces physician consultation affects quality of diabetes care is unknown. This study sought to examine the effect of prescription refill on the outcome quality of diabetes care. METHODS: A quasi-experiment design with repeated HbA1c measures for the pretest and posttest periods for a total of 2 years was used. HbA1c functions as an outcome quality indicator. Prescription refill was measured dichotomously and also in times. Retrospective data of 1005 patients with type 2 diabetes were analyzed mainly by repeated measure General Linear Modeling at the multivariate level with difference-in-difference (DID) statistics. RESULTS: Patients using prescription refills (n=779) experienced a significant decrease in HbA1c (from 8.4% to 7.8%, P<0.001), compared with those without refill (n=226, from 8.5% to 8.3%, P=0.171), with 0.3% of DID (P=0.043). Compared with non-refill peers, a greater percentage of patients refilling their prescriptions met the American Diabetes Association standards goal of (<7%/53 mmol/mol, P=0.037). Certain patients and physician characteristics were associated with the use of refills. CONCLUSIONS: Clinically appropriate use of prescription refill would not result in a deterioration in glycemic control. On this basis, continuous refills may further benefit diabetic patients in treatment outcome and future cost. More attention is needed on the quality-effectiveness of prescription refill.