Factors Influencing Physicians' Continuous Blogging: A Survey.

BACKGROUND: Health information can be more easily transmitted and diffused through the Internet, but questionable online health information often misinforms patients. Physicians have a duty to inform patients how to achieve positive health outcomes. Many physicians often write blogs to provide patients with the right health information. However, most articles available on this subject only describe the blog phenomena without providing a theoretical background and an empirical analysis of doctors using blogs. METHODS: This study based on social cognitive theory (SCT) explores the factors influencing physicians' intention of continuously blogging. A total of 887 physician bloggers were invited to participate in an online survey and 128 valid responses were received. RESULTS: The SCT was proven to be useful in explaining 36.8% of the variation in physicians' continuous intention to blog. CONCLUSIONS: We provide references for platform developers with different strategies to motivate doctors to blog, and the implications and limitations of this study are discussed.

Why Nursing Home Residents Use Social Network Systems: An Attachment Perspective.

Most long-term care facilities can offer residents' with sufficiently material and physical care, but psychological support may not be always provided due to the tight financial budget or labor resources. Residents' isolation and loneliness then become a big issue, especially for the residents. Social network systems (SNS) have been proved to be a more effective information transmission channel for thoughts, perspectives, and information sharing than traditional channels such as microblogging, e-mails, or telephones. This study conducted a quasi-experiment to identify factors that influence residents' intention of using SNS and the impacts of SNS on them in a long-term care facility. The results showed that residents' attached motivation of personal interacting is a significant factor that influences their intention to use the social network platform. Meanwhile, both the loneliness and depression scales of the participants were decreased significantly.

Predicting Unscheduled Emergency Department Return Visits Among Older Adults: Population-Based Retrospective Study.

BACKGROUND: Unscheduled emergency department return visits (EDRVs) are key indicators for monitoring the quality of emergency medical care. A high return rate implies that the medical services provided by the emergency department (ED) failed to achieve the expected results of accurate diagnosis and effective treatment. Older adults are more susceptible to diseases and comorbidities than younger adults, and they exhibit unique and complex clinical characteristics that increase the difficulty of clinical diagnosis and treatment. Older adults also use more emergency medical resources than people in other age groups. Many studies have reviewed the causes of EDRVs among general ED patients; however, few have focused on older adults, although this is the age group with the highest rate of EDRVs. OBJECTIVE: This aim of this study is to establish a model for predicting unscheduled EDRVs within a 72-hour period among patients aged 65 years and older. In addition, we aim to investigate the effects of the influencing factors on their unscheduled EDRVs. METHODS: We used stratified and randomized data from Taiwan's National Health Insurance Research Database and applied data mining techniques to construct a prediction model consisting of patient, disease, hospital, and physician characteristics. Records of ED visits by patients aged 65 years and older from 1996 to 2010 in the National Health Insurance Research Database were selected, and the final sample size was 49,252 records. RESULTS: The decision tree of the prediction model achieved an acceptable overall accuracy of 76.80%. Economic status, chronic illness, and length of stay in the ED were the top three variables influencing unscheduled EDRVs. Those who stayed in the ED overnight or longer on their first visit were less likely to return. This study confirms the results of prior studies, which found that economically underprivileged older adults with chronic illness and comorbidities were more likely to return to the ED. CONCLUSIONS: Medical institutions can use our prediction model as a reference to improve medical management and clinical services by understanding the reasons for 72-hour unscheduled EDRVs in older adult patients. A possible solution is to create mechanisms that incorporate our prediction model and develop a support system with customized medical education for older patients and their family members before discharge. Meanwhile, a reasonably longer length of stay in the ED may help evaluate treatments and guide prognosis for older adult patients, and it may further reduce the rate of their unscheduled EDRVs.

Correlations among social support, depression, and anxiety in patients with type-2 diabetes.

BACKGROUND: Social support is related to patient self-care and health status. Patients' psychosocial issues play an important role in diabetes care. PURPOSE: This study investigates correlations among social support, depression, and anxiety in patients with diabetes. METHODS: A cross-sectional study design and purposive sampling were used. One hundred eleven patients with type-2 diabetes were recruited from three regional teaching hospitals in northern, central, and southern Taiwan, respectively. Questionnaires used included the social support and psychological referral inventory, Beck depression inventory, and Beck anxiety inventory. RESULTS: Approximately 12.6% of the study population had depression, and 27.0% had anxiety. Depression and anxiety were positively correlated (r = .65, p < .01), whereas depression was negatively correlated with the sum of disease control types (r = -0.26, p < .01) and social support (r = -0.27, p <.01). The sum of disease control types and social support were the most important explanatory factors for depression in patients, explaining 45.5% of variance. Anxiety was correlated positively with age (r = .26, p < .01), total number of complications (r = .31, p < .01), and depression (r = .65, p < .01). Anxiety correlated negatively with weight (r = -0.20, p < .05) and sum of disease control types (r = -0.25, p < .05). The above variables were important explanatory factors for anxiety, accounting for 15.2% of variance. CONCLUSIONS/IMPLICATIONS FOR PRACTICE: Psychological factors, such as depression and anxiety, are common symptoms in patients with diabetes. If social support can be strengthened in these patients, then psychological factors can be improved. Professional care providers should focus on reducing the patient depression and anxiety levels, strengthening social support, and providing referrals to psychology-related professionals.

A self-management intervention to improve quality of life and psychosocial impact for people with type 2 diabetes.

AIM: To evaluate the effectiveness of self-management intervention for people with diabetes mellitus. BACKGROUND: Enhancing self-efficacy and improving health quality of life for persons with diabetes are ongoing challenges for health care providers. There currently is a need to develop and test the effects of a self-management programme. DESIGN: A quasi-experimental design. METHOD: The study was carried out in the outpatient clinic of a municipal hospital in Taipei. Patients aged 30 and over with type 2 diabetes and an oral medication regimen were recruited. One hundred and forty-five participants completed the six-month post-treatment assessments (72 in the intervention group and 73 in the control group). Both control and intervention groups received a standard diabetic educational programme. The self-management intervention is to improve psychosocial skills or addressing attitudes and beliefs specific to diabetes or the regimen behaviours. The intervention group received the following additional interventions: (1) a diabetic booklet (2) DVD viewing (3) four counselling sessions (4) and a telephone follow-up. The main outcome measures were Short Form 12 for health-related quality of life, the Medical Outcomes Study Social Support scale and the Center for Epidemiology Studies Short Depression Scale. RESULTS: The scores for social support were significantly increased in the intervention group at Time 2 and Time 3 (three and six months from commencement of the intervention) compared with those of the control group (p < 0·01), whereas health-related quality of life and depression were not significantly different. Conclusions. The diabetic self-management intervention programme improved social support for participants, but future studies are needed. Replication of this study in various settings, with other populations, or with additional outcome measures may result in different findings. RELEVANCE TO CLINICAL PRACTICE: Self-management programmes should be held regularly and evaluated in clinical practices, especially in developing countries. Providing practical screening tools and conducting psychological research on diabetes drive policy and health care system change.