Does a Mobile app improve patients' knowledge of stroke risk factors and health-related quality of life in patients with stroke? A randomized controlled trial.

BACKGROUND: Developing a stroke health-education mobile app (SHEMA) and examining its effectiveness on improvement of knowledge of stroke risk factors and health-related quality of life (HRQOL) in patients with stroke. METHODS: We recruited 76 stroke patients and randomly assigned them to either the SHEMA intervention (n = 38) or usual care where a stroke health-education booklet was provided (n = 38). Knowledge of stroke risk factors and HRQOL were assessed using the stroke-knowledge questionnaire and European Quality of Life-Five Dimensions (EQ-5D) questionnaire, respectively. RESULTS: Sixty-three patients completed a post-test survey (the SHEMA intervention, n = 30; traditional stroke health-education, n = 33). Our trial found that patients' mean knowledge score of stroke risk factors was improved after the SHEMA intervention (Mean difference = 2.83; t = 3.44; p = .002), and patients' knowledge was also improved in the after traditional stroke health-education (Mean difference = 2.79; t = 3.68; p = .001). However, patients after the SHEMA intervention did not have significantly higher changes of the stroke knowledge or HRQOL than those after traditional stroke health-education. CONCLUSIONS: Both the SHEMA intervention and traditional stroke health-education can improve patients' knowledge of stroke risk factors, but the SHEMA was not superior to traditional stroke health-education. TRIAL REGISTRATION: NCT02591511 Verification Date 2015-10-01.

Risk of Recurrence After Surviving Severe Sepsis: A Matched Cohort Study.

OBJECTIVES: To examine the risk of recurrence in adults who survived first-episode severe sepsis for at least 3 months. DESIGN: A matched cohort study. SETTING: Inpatient claims data from Taiwan's National Health Insurance Research Database. SUBJECTS: We analyzed 10,818 adults who survived first-episode severe sepsis without recurrence for at least 3 months in 2000 (SS group; mean age, 62.7 yr; men, 54.7%) and a group of age/sex-matched (1:1) population controls who had no prior history of severe sepsis. All subjects were followed from the study entry to the occurrence of end-point, death, or until December 31, 2008, whichever date came first. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Primary end-point was severe sepsis that occurred after January 1, 2001 (the study entry). Relative risk of the end-point was assessed using competing risk regression model. During the follow-up period, severe sepsis and death occurred in 35.0% and 26.5% of SS group and in 4.3% and 18.6% of controls, respectively, representing a covariate-adjusted sub-hazard ratio of 8.89 (95% CI, 8.04-9.83) for the risk of recurrence. In stratified analysis by patient characteristics, the sub-hazard ratios ranged from 7.74 in rural area residents to 23.17 in young adults. In subgroup analysis by first-episode infection sites in SS group, the sub-hazard ratios ranged from 4.82 in intra-abdominal infection to 9.99 in urinary tract infection. CONCLUSIONS: Risk of recurrence after surviving severe sepsis is substantial regardless of patient characteristics or infection sites. Further research is necessary to find underlying mechanisms for the high risk of recurrence in these patients.

Risk of Diabetes Mellitus after First-Attack Acute Pancreatitis: A National Population-Based Study.

OBJECTIVES: Population-based data on the risk of diabetes mellitus onset after acute pancreatitis (AP) are lacking. We assessed the incidence of diabetes in AP survivors compared with matched controls. METHODS: The study cohort, drawn from Taiwan National Health Insurance claims data, included 2,966 first-attack AP patients and 11,864 non-AP general controls individually matched on age and sex, with an AP/non-AP ratio of 1:4. Incidence rate was estimated under Poisson assumption. Relative risks of diabetes were indicated by hazard ratios (HRs) estimated from Cox proportional hazard regression models with a partitioning of time at 3 months to account for proportionality. RESULTS: In the first partition of time (<3 months), the incidences of diabetes were 60.8 and 8.0 per 1,000 person-years in AP and control groups, respectively; representing a covariate-adjusted HR of 5.90 (95% confidence interval (CI) 3.37-10.34). In the second partition (≥3 months), the incidences of diabetes were 22.5 and 6.7 per 1,000 person-years in AP and control groups, respectively (adjusted HR 2.54, 95% CI 2.13-3.04). In the second partition, the risk of diabetes was greater in men than in women (HR 3.21 vs. 1.58, P=0.0004). When the analyses were stratified by severity of AP, the results for mild AP were similar to those for all AP. CONCLUSIONS: The risk of diabetes increases by twofold after AP; therefore, a long-term screening is necessary to evaluate diabetes after an attack regardless of severity. Further research should be conducted to develop cost-effective follow-up strategies, and to elucidate the underlying mechanisms of the relationship between diabetes and AP.

Effect of end-stage renal disease on long-term survival after a first-ever mechanical ventilation: a population-based study.

INTRODUCTION: Patients with end-stage renal disease (ESRD(Pos)) usually have multiple comorbidities and are predisposed to acute organ failure and in-hospital mortality. We assessed the effect of ESRD on the poorly understood long-term mortality risk after a first-ever mechanical ventilation (1-MV) for acute respiratory failure. METHODS: The data source was Taiwan's National Health Insurance (NHI) Research Database. All patients given a 1-MV between 1999 and 2008 from one million randomly selected NHI beneficiaries were identified (n = 38,659). Patients with or without ESRD (ESRD(Neg)) after a 1-MV between 1999 and 2008 were retrospectively compared and followed from the index admission date to death or the end of 2011. ESRD(Pos) patients (n = 1185; mean age: 65.9 years; men: 51.5 %) were individually matched to ESRD(Neg) patients (ratio: 1:8) using a propensity score method. The primary outcome was death after a 1-MV. The effect of ESRD on the risk of death after MV was assessed. A Cox proportional hazard regression model was used to assess how ESRD affected the mortality risk after a 1-MV. RESULTS: The baseline characteristics of the two cohorts were balanced, but the incidence of mortality was higher in ESRD(Pos) patients than in ESRD(Neg) patients (342.30 versus 179.67 per 1000 person-years; P <0.001; covariate-adjusted hazard ratio: 1.43; 95 % confidence interval: 1.31-1.51). For patients who survived until discharge, ESRD was not associated with long-term (>4 years) mortality. CONCLUSIONS: ESRD increased the mortality risk after a 1-MV, but long-term survival seemed similar.

Stroke rehabilitation and risk of mortality: a population-based cohort study stratified by age and gender.

BACKGROUND: To determine the survival of patients with stroke for up to 10 years after a first-time stroke and to investigate whether stroke rehabilitation within the first 3 months reduced long-term mortality in these patients. METHODS: We used the medical claims data for a random sample of 1 million insured Taiwanese registered in the year 2000. A total of 7767 patients admitted for a first-time stroke between 2000 and 2005; 1285 (16.7%) received rehabilitation within the first 3 months after stroke admission. The other 83.3% of patients served as a comparison cohort. A Cox proportional hazards model was used to estimate the relative risk of mortality in relation to the rehabilitation intervention. RESULTS: In all, 181 patients with rehabilitation and 1123 controls died, representing respective mortality rates of 25.0 and 32.7 per 1000 person-years. Rehabilitation was significantly associated with a lower risk of mortality (hazard ratio .68, 95% confidence interval .58-.79). Such a beneficial effect tended to be more obvious as the frequency of rehabilitation increased (P for the trend <.0001) and was more evident in female patients. CONCLUSIONS: Stroke rehabilitation initiated in the first 3 months after a stroke admission may significantly reduce the risk of mortality for 10 years after the stroke.

Do physicians have lower risk of severe sepsis and associated mortality? A matched cohort study*.

OBJECTIVES: Physicians generally have higher disease awareness and easier access to medical care, which may help them reduce risk of developing severe sepsis and associated mortality when they suffer from acute infection. However, the opposite situation may occur due to the presence of potential barriers to healthcare in physicians. We aim to examine the risk of severe sepsis and associated mortality in physicians. DESIGN: A matched cohort study. SETTING: Registry of medical professionals and inpatient and outpatient claims data from Taiwan's National Health Insurance Research Database. SUBJECTS: Physicians (n = 29,697) in Taiwan and a group of persons who were demographically and socioeconomically matched (1:1 ratio) and without any medical education and background. All subjects were followed from the index date (January 1, 2000) to the occurrence of endpoint, withdrawal, or December 31, 2008, whichever date came first. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Primary outcome was development of severe sepsis. Secondary outcome was 90-day mortality following severe sepsis. The overall incidence density of severe sepsis was lower in physicians than in controls (3.25 vs 3.90 per 1,000 person-years, p < 0.001). According to the Cox regression model, severe sepsis develops in physicians 24% less likely than controls after baseline covariates were adjusted (adjusted hazard ratio, 0.76; 95% CI, 0.68-0.85). The 90-day mortality rates were similar between physicians and controls with severe sepsis (46.5% vs 45.7%, p = 0.72). However, after controlling for the baseline and additional covariates, the risk of death was significantly lower in physicians than in controls (adjusted hazard ratio, 0.82; 95% CI, 0.71-0.95). CONCLUSIONS: These findings support the hypothesis that physicians are less likely than controls to develop or die of severe sepsis, implying that medical knowledge, higher disease awareness, and easier healthcare access in physicians may help reduce their risk of severe sepsis and associated mortality.

Higher hospital caseload is associated with better treatment outcomes of patients with pleural infection.

The relationship between hospital caseload or volume and the outcome of various surgical procedures has been well documented. However, such hospital caseload-outcome relationship (HCOR) has been seldom addressed in rare medical conditions, such as pleural infection, which is usually associated with pneumonia and may progress to systemic inflammation and severe sepsis. Pleural infection can be treated with medical or surgical pleural space drainage, but the treatment is still unstandardized. This population-based study, using Taiwan's medical claim data, investigated the HCOR in patients with pleural infection. A total of 24,876 patients with pleural infection (median age of 65 years; men, 76.6%) were identified between 1997 and 2008. Hospital caseload was calculated with the average number of cases per hospital annually. The primary outcome is hospital mortality, and the secondary outcomes include hospital length of stay and charges. The risk of mortality among patients treated in hospitals with the highest caseload quartile (≥ 14 cases per hospital annually) is less than those treated in hospitals with the lowest caseload (1 case per hospital annually) by 27% (adjusted odds ratio = 0.73, 95% confidence interval = 0.55 to 0.96). Such beneficial effect disappeared after adjustment for therapeutic procedures. Hospital caseload explained only a small portion of variation in hospital mortality (-2 log likelihood % = 0.26%). These findings suggest that higher hospital caseload is associated with better outcomes of patients with pleural infection. The difference in therapeutic procedures for pleural infection contributes to the observed effect of hospital caseload on hospital mortality.

The effect of gastrointestinal bleeding on outcomes of patients with acute pancreatitis: a national population-based study.

OBJECTIVES: To investigate the adverse effect of gastrointestinal bleeding (GIB) in patients with acute pancreatitis (AP), accounting for the status of organ failure (OF). METHODS: We analyzed 107,349 patients with first-attack AP from the Taiwan National Health Insurance Research Database between 2000 and 2009. Patients were categorized into four groups according to the status of GIB and OF, the effect of which was assessed using multivariable analyses with generalized estimating equations models. Primary outcomes were 14-day and hospital mortality. Secondary outcomes were septic complication and prolonged hospital stay (>18 days). RESULTS: The covariate-adjusted odds ratio for 14-day mortality, hospital mortality, septic complication, and prolonged stay all significantly increased at 4.63 (95% confidence interval [CI] 3.80-5.63), 4.22 (95% CI 3.66-4.87), 3.52 (95% CI 3.03-4.08), and 1.27 (95% CI 1.20-1.35), respectively for the patients with OF only (n = 88,561). The corresponding figures for the patients with GIB only (n = 5184) were lower but still significant at 1.44 (95% CI 1.09-1.91), 1.42 (95% CI 1.15-1.75), 1.54 (95% CI 1.19-2.00), and 1.38 (95% CI 1.28-1.48). The co-existence of GIB in patients with OF (n = 1663) showed little additional risk of all adverse outcomes. Results of sensitivity analyses (enrolling only patients with principal diagnosis of AP) showed similar findings except that septic complication was not seen for GIB only. CONCLUSIONS: OF poses greater adverse effects than GIB on outcomes of AP patients. Nevertheless, GIB still modestly increased the risks of prolonged stay and death in AP patients without OF.

The effect of hospital volume on patient outcomes in severe acute pancreatitis.

BACKGROUND: We investigated the relation between hospital volume and outcome in patients with severe acute pancreatitis (SAP). The determination is important because patient outcome may be improved through volume-based selective referral. METHODS: In this cohort study, we analyzed 22,551 SAP patients in 2,208 hospital-years (between 2000 and 2009) from Taiwan's National Health Insurance Research Database. Primary outcome was hospital mortality. Secondary outcomes were hospital length of stay and charges. Hospital SAP volume was measured both as categorical and as continuous variables (per one case increase each hospital-year). The effect was assessed using multivariable logistic regression models with generalized estimating equations accounting for hospital clustering effect. Adjusted covariates included patient and hospital characteristics (model 1), and additional treatment variables (model 2). RESULTS: Irrespective of the measurements, increasing hospital volume was associated with reduced risk of hospital mortality after adjusting the patient and hospital characteristics (adjusted odds ratio [OR] 0.995, 95% confidence interval [CI] 0.993-0.998 for per one case increase). The patients treated in the highest volume quartile (≥14 cases per hospital-year) had 42% lower risk of hospital mortality than those in the lowest volume quartile (1 case per hospital-year) after adjusting the patient and hospital characteristics (adjusted OR 0.58, 95% CI 0.40-0.83). However, an inverse relation between volume and hospital stay or hospital charges was observed only when the volume was analyzed as a categorical variable. After adjusting the treatment covariates, the volume effect on hospital mortality disappeared regardless of the volume measures. CONCLUSIONS: These findings support the use of volume-based selective referral for patients with SAP and suggest that differences in levels or processes of care among hospitals may have contributed to the volume effect.

Epidemiology of pleural infections in Taiwan from 1997 through 2008.

BACKGROUND AND OBJECTIVE: Population-based data on pleural infections are limited. This study describes the temporal trends in the incidence, management and outcomes of pleural infections in Taiwan. METHODS: The Taiwan National Health Insurance Research Database was used to analyse data on 26,385 patients with a first episode of pleural infection between 1997 and 2008. RESULTS: During the study period, the median age of the patients increased from 60 to 65 years. The majority of patients were men (75%); this proportion remained constant over time. The standardized annual incidence of pleural infection increased from 5.2 per 100,000 in 1997 and reached a plateau of 8.4 to 9.6 per 100,000 between 2002 and 2008. Over time, there was an increase in the use of computed tomography (from 47.3% in 1997-1998 to 59.4% in 2007-2008), pigtail catheters (from 1.5% to 18.9%), fibrinolytics (from 0.9% to 9.3%) and surgery (from 27.7% to 33.6%), to treat pleural infections. Furthermore, the use of life-support resources, including haemodialysis, mechanical ventilation and intensive care, also increased by 3.1%, 11.0% and 12.8%, respectively. Median hospital charges per patient increased by 63.6% over the 12 years. Although the proportion of patients with organ dysfunction (i.e. severe sepsis) increased from 26.5% to 47.7%, 30-day mortality decreased from 15.0% to 13.1% (P-value for trend = 0.001). CONCLUSIONS: These findings suggest that advances in the management of pleural infections and subsequent severe sepsis may have led to a reduction in the risk of short-term mortality in Taiwan.

Increased risks of acute organ dysfunction and mortality in intensive care unit patients with schizophrenia: a nationwide population-based study.

OBJECTIVE: To investigate the risks of acute organ dysfunction and death in intensive care unit (ICU) patients with schizophrenia. METHODS: Using a retrospective matched cohort design, we compared 203 schizophrenic patients to 2036 demographically matched (1:10) nonschizophrenic patients with first-time ICU admission between 2005 and 2007 using the claims data of a nationally representative cohort from the Taiwan National Health Insurance Research Database. Definitions of schizophrenia and associated diagnoses were based on the codes of the International Classification of Diseases, Ninth Revision, Clinical Modification. Analyses were performed using univariate and multivariate analyses. RESULTS: The median age of schizophrenic patients was 53 years; 61.1% were men. Schizophrenic patients were less likely to be hospitalized in a medical center and had fewer surgical conditions and principal cardiovascular diagnoses, but they had a higher prevalence of infection than nonschizophrenic patients. After controlling for the aforementioned baseline covariates, schizophrenic patients had a higher risk of acute organ dysfunction (adjusted odds ratio = 1.52, 95% confidence interval = 1.09-2.10). When individual organ systems were analyzed, they had a 47% higher risk of respiratory dysfunction, a 194% higher risk of renal dysfunction, and a 122% higher risk of neurological dysfunction than nonschizophrenic patients. Hospital mortality was also higher in schizophrenic patients than in nonschizophrenic patients (24.1% versus 14.4%, p < .001; adjusted odds ratio = 1.56, 95% confidence interval = 1.08-2.24). CONCLUSIONS: Among ICU patients, schizophrenic patients were sicker, having a higher risk of acute organ dysfunction and death.

Women receive more trials of noninvasive ventilation for acute respiratory failure than men: a nationwide population-based study.

INTRODUCTION: Previous studies in western countries have observed that women are less likely than men to receive intensive care and mechanical ventilation (MV). We aimed to investigate whether the gender difference also exists in Asian populations and in the provision of different types of MV including invasive (INV) and noninvasive ventilation (NIV). METHODS: We analyzed all adult hospital patients between 2005 and 2007 in the claims data from 1,000,000 randomly selected people in the Taiwan National Health Insurance Research Database. NIV-only was defined as patients receiving NIV as the only ventilator treatment during hospitalization. Gender difference was assessed using multivariable analyses with/without considering a hospital cluster effect by generalized estimating equations models. Subgroup analyses for gender difference in NIV use were performed using propensity score matching method. RESULTS: Of the 128,327 patients enrolled, 53.8% were men, 9.2% received intensive care and 5.2% used MV. After adjusting for potential confounders, women were less likely than men to receive intensive care (adjusted odds ratio [aOR] 0.77, 95% confidence interval [CI] 0.73-0.82) and MV (aOR 0.84, 95% CI 0.78-0.91). Among MV patients, 6.8% received NIV-only; the proportion of which was higher in women than in men (8.6% vs. 5.7%, P < 0.001). After controlling for confounders and a cluster effect, women remained more likely to receive NIV-only (aOR 1.61, 95% CI 1.32-1.96). Subgroup analyses showed that patients with underlying congestive heart failure (CHF) had the highest difference in the provision of NIV-only (female-to-male aOR 2.76, 95% CI 1.38-5.53). A hospital cluster effect on the gender difference in NIV use was found in patients with diseases other than chronic obstructive pulmonary disease and CHF. CONCLUSIONS: Gender differences existed not only in the provision but also in the types of MV. Further studies are needed to understand why gender differences occur.

Simple scoring algorithm to identify community-dwelling older adults with limited health literacy: a cross-sectional study in Taiwan.

OBJECTIVE: Health literacy (HL) is the degree of individuals' capacity to access, understand, appraise and apply health information and services required to make appropriate health decisions. This study aimed to establish a predictive algorithm for identifying community-dwelling older adults with a high risk of limited HL. DESIGN: A cross-sectional study. SETTING: Four communities in northern, central and southern Taiwan. PARTICIPANTS: A total of 648 older adults were included. Moreover, 85% of the core data set was used to generate the prediction model for the scoring algorithm, and 15% was used to test the fitness of the model. PRIMARY AND SECONDARY OUTCOME MEASURES: Pearson's χ2 test and multiple logistic regression were used to identify the significant factors associated with the HL level. An optimal cut-off point for the scoring algorithm was identified on the basis of the maximum sensitivity and specificity. RESULTS: A total of 350 (54.6%) patients were classified as having limited HL. We identified 24 variables that could significantly differentiate between sufficient and limited HL. Eight factors that could significantly predict limited HL were identified as follows: a socioenvironmental determinant (ie, dominant spoken dialect), a health service use factor (ie, having family doctors), a health cost factor (ie, self-paid vaccination), a heath behaviour factor (ie, searching online health information), two health outcomes (ie, difficulty in performing activities of daily living and requiring assistance while visiting doctors), a participation factor (ie, attending health classes) and an empowerment factor (ie, self-management during illness). The scoring algorithm yielded an area under the curve of 0.71, and an optimal cut-off value of 5 represented moderate sensitivity (62.0%) and satisfactory specificity (76.2%). CONCLUSION: This simple scoring algorithm can efficiently and effectively identify community-dwelling older adults with a high risk of limited HL.

Skin and soft tissue infections in hospitalized and critically ill patients: a nationwide population-based study.

BACKGROUND: The proportional distributions of various skin and soft tissue infections (SSTIs) with/without intensive care are unclear. Among SSTI patients, the prevalence and significance of complicating factors, such as comorbidities and infections other than skin/soft tissue (non-SST infections), remain poorly understood. We conducted this population-based study to characterize hospitalized SSTI patients with/without intensive care and to identify factors associated with patient outcome. METHODS: We analyzed first-episode SSTIs between January 1, 2005 and December 31, 2007 from the hospitalized claims data of a nationally representative sample of 1,000,000 people, about 5% of the population, enrolled in the Taiwan National Health Insurance program. We classified 18 groups of SSTIs into three major categories: 1) superficial; 2) deeper or healthcare-associated; and 3) gangrenous or necrotizing infections. Multivariate logistic regression models were applied to identify factors associated with intensive care unit (ICU) admission and hospital mortality. RESULTS: Of 146,686 patients ever hospitalized during the 3-year study period, we identified 11,390 (7.7%) patients having 12,030 SSTIs. Among these SSTI patients, 1,033 (9.1%) had ICU admission and 306 (2.7%) died at hospital discharge. The most common categories of SSTIs in ICU and non-ICU patients were "deeper or healthcare-associated" (62%) and "superficial" (60%) infections, respectively. Of all SSTI patients, 45.3% had comorbidities and 31.3% had non-SST infections. In the multivariate analyses adjusting for demographics and hospital levels, the presence of several comorbid conditions was associated with ICU admission or hospital mortality, but the results were inconsistent across most common SSTIs. In the same analyses, the presence of non-SST infections was consistently associated with increased risk of ICU admission (adjusted odds ratios [OR] 3.34, 95% confidence interval [CI] 2.91-3.83) and hospital mortality (adjusted OR 5.93, 95% CI 4.57-7.71). CONCLUSIONS: The proportional distributions of various SSTIs differed between ICU and non-ICU patients. Nearly one-third of hospitalized SSTI patients had non-SST infections, and the presence of which predicted ICU admission and hospital mortality.