BACKGROUNDNowadays, social media tools such as short message service, Twitter, video, and web-based systems are more and more used in clinical follow-up, making clinical follow-up much more time- and cost-effective than ever before. However, as the most popular social media in China, little is known about the utility of smartphone WeChat application in follow-up. In this study, we aimed to investigate the feasibility and superiority of WeChat application in clinical follow-up.

METHODSA total of 108 patients diagnosed with head and neck tumor were randomized to WeChat follow-up (WFU) group or telephone follow-up (TFU) group for 6-month follow-up. The follow-ups were delivered by WeChat or telephone at 2 weeks, 1, 2, 3, and 6 months to the patients after being discharged. The study measurements were time consumption for follow-up delivery, total economic cost, lost-to-follow-up rate, and overall satisfaction for the follow-up method.

RESULTSTime consumption in WFU group for each patient (23.36 ± 6.16 min) was significantly shorter than that in TFU group (42.89 ± 7.15 min) (P < 0.001); total economic cost in WFU group (RMB 90 Yuan) was much lower than that in TFU group (RMB 196 Yuan). Lost-to-follow-up rate in the WFU group was 7.02% (4/57) compared with TFU group, 9.80% (5/51), while no significance was observed (95% confidence interval [CI]: 0.176-2.740; P = 0.732). The overall satisfaction rate in WFU group was 94.34% (50/53) compared with 80.43% (37/46) in TFU group (95% CI: 0.057-0.067; P = 0.034).

CONCLUSIONSThe smartphone WeChat application was found to be a viable option for follow-up in discharged patients with head and neck tumors. WFU was time-effective, cost-effective, and convenient in communication. This doctor-led follow-up model has the potential to establish a good physician-patient relationship by enhancing dynamic communications and providing individual health instructions.

TRIAL REGISTRATIONChinese Clinical Trial Registry, ChiCTR-IOR-15007498; http://www.chictr.org.cn/ showproj.aspx?proj=12613.

Adult ; Aftercare ; economics ; methods ; Aged ; Female ; Head and Neck Neoplasms ; Humans ; Male ; Middle Aged ; Patient Discharge ; economics ; statistics & numerical data ; Smartphone ; Social Media ; Telephone ; Young Adult

PURPOSE: This study compared in-hospital mortality within 30 days of admission, lengths of stay, and inpatient charges among patients with heart failure admitted to public and private hospitals in South Korea. MATERIALS AND METHODS: We obtained health insurance claims data for all heart failure inpatients nationwide between November 1, 2011 and May 31, 2012. These data were then matched with hospital-level data, and multi-level regression models were examined. A total of 8406 patients from 253 hospitals, including 31 public hospitals, were analyzed. RESULTS: The in-hospital mortality rate within 30 days of admission was 0.92% greater and the mean length of stay was 1.94 days longer at public hospitals than at private hospitals (mortality: 5.18% and 4.26%, respectively; LOS: 12.08 and 10.14 days, respectively). The inpatient charges were 11.4% lower per case and 24.5% lower per day at public hospitals than at private hospitals. After adjusting for patient- and hospital-level confounders, public hospitals had a 1.62-fold higher in-hospital mortality rate, a 16.5% longer length of stay, and an 11.7% higher inpatient charge per case than private hospitals, although the charges of private hospitals were greater in univariate analysis. CONCLUSION: We recommend that government agencies and policy makers continue to monitor quality of care, lengths of stay in the hospital, and expenditures according to type of hospital ownership to improve healthcare outcomes and reduce spending.
Aged ; Female ; Heart Failure/economics/*mortality/therapy ; Hospital Charges/*statistics & numerical data ; Hospital Mortality ; Hospitalization/economics ; Hospitals, Private/*economics ; Hospitals, Public/*economics ; Humans ; Inpatients/*statistics & numerical data ; Length of Stay/economics/*statistics & numerical data ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Outcome Assessment (Health Care)/economics ; Patient Discharge/economics/statistics & numerical data ; Republic of Korea/epidemiology ; Survival Analysis ; Time Factors

PURPOSE: This study compared in-hospital mortality within 30 days of admission, lengths of stay, and inpatient charges among patients with heart failure admitted to public and private hospitals in South Korea. MATERIALS AND METHODS: We obtained health insurance claims data for all heart failure inpatients nationwide between November 1, 2011 and May 31, 2012. These data were then matched with hospital-level data, and multi-level regression models were examined. A total of 8406 patients from 253 hospitals, including 31 public hospitals, were analyzed. RESULTS: The in-hospital mortality rate within 30 days of admission was 0.92% greater and the mean length of stay was 1.94 days longer at public hospitals than at private hospitals (mortality: 5.18% and 4.26%, respectively; LOS: 12.08 and 10.14 days, respectively). The inpatient charges were 11.4% lower per case and 24.5% lower per day at public hospitals than at private hospitals. After adjusting for patient- and hospital-level confounders, public hospitals had a 1.62-fold higher in-hospital mortality rate, a 16.5% longer length of stay, and an 11.7% higher inpatient charge per case than private hospitals, although the charges of private hospitals were greater in univariate analysis. CONCLUSION: We recommend that government agencies and policy makers continue to monitor quality of care, lengths of stay in the hospital, and expenditures according to type of hospital ownership to improve healthcare outcomes and reduce spending.
Aged ; Female ; Heart Failure/economics/*mortality/therapy ; Hospital Charges/*statistics & numerical data ; Hospital Mortality ; Hospitalization/economics ; Hospitals, Private/*economics ; Hospitals, Public/*economics ; Humans ; Inpatients/*statistics & numerical data ; Length of Stay/economics/*statistics & numerical data ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Outcome Assessment (Health Care)/economics ; Patient Discharge/economics/statistics & numerical data ; Republic of Korea/epidemiology ; Survival Analysis ; Time Factors