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.

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.

The relationship between health literacy and perceived shared decision making in patients with breast cancer.

OBJECTIVES: We explored the relationship between patient-perceived shared decision making (SDM) and three domains of health literacy (HL) in patients with breast cancer. METHODS: In this cross-sectional study, we prospectively recruited a convenience sample of 511 breast cancer patients from 3 hospitals in Taiwan. Patients completed questionnaires about HL and perceived SDM in a recent consultation. Sequential regressions, controlling for International Classification of Functioning, Disability and Health (ICF)-related factors) were conducted. Interactions of each HL domain with age or education were also assessed for the relationship with perceived SDM. RESULTS: Higher scores in the HL domains of healthcare and disease prevention, but lower scores in the health promotion domain, were significantly associated with a higher perceived level of SDM after controlling for ICF-related factors (R2 = 33.44%). The association of SDM with two domains of HL varied with age, while the relationship between the 3 HL domains and SDM differed across education levels. CONCLUSION: Each HL domain was significantly associated with perceived SDM after controlling for the ICF-related factors and across different age- and education-stratifications. PRACTICE IMPLICATIONS: Clinicians should be cognizant of patients' HL levels and incorporate HL best practices into consultations and interactions with patients with breast cancer to facilitate SDM.

Maternal Exposure to Air Pollutants and Risk of Gestational Diabetes Mellitus in Taiwan.

Mounting evidence has shown an increased risk of gestational diabetes mellitus (GDM) in association with elevated exposure to air pollution. However, limited evidence is available concerning the effect of specific air pollutant(s) on GDM incidence. We conducted this case-control study on 6717 mothers with GDM diagnosed in 2006-2013 and 6717 age- and year of delivery-matched controls to further address the risk of GDM in relation to specific air pollutant. Both cases and controls were selected from a cohort of 1-million beneficiaries of Taiwan's National Health Insurance program registered in 2005. Maternal exposures to mean daily air pollutant concentration, derived from 76 fixed air quality monitoring stations within the 12-week period prior to pregnancy and during the 1st and 2nd trimesters, were assessed by the spatial analyst method (i.e., ordinary kriging) with the ArcGIS software. After controlling for potential confounders and other air pollutants, an increase in pre-pregnancy exposure of 1 inter-quartile range (IQR) for PM2.5 and SO2 was found to associate with a significantly elevated odds ratio (OR) of GDM at 1.10 (95% confidence interval (CI) 1.03-1.18 and 1.37 (95% CI 1.30-1.45), respectively. Exposures to PM2.5 and SO2 during the 1st and 2nd trimesters were also associated with significantly increased ORs, which were 1.09 (95% CI 1.02-1.17) and 1.07 (95% CI 1.01-1.14) for PM2.5, and 1.37 (95% CI 1.30-1.45) and 1.38 (95% CI 1.31-1.46) for SO2. It was concluded that higher pre- and post-pregnancy exposures to PM2.5 and SO2 for mothers were associated with a significantly but modestly elevated risk of GDM.

Prevalence of hand syndromes among patients with diabetes mellitus in Taiwan: A population-based study.

BACKGROUND: Population-based data for diabetic hand syndrome (DHS) are limited. The aim of the present epidemiological study was to estimate the overall and cause-specific prevalence and rate ratio (RR) of DHS in patients with diabetes. METHODS: The present study was a cross-sectional study based on a random sample of 57 093 diabetics and matched controls, both identified from Taiwan National Health Insurance claims in 2010. The DHS analyzed in the present study included carpal tunnel syndrome (CTS), stenosing flexor tenosynovitis (SFT), limited joint mobility (LJM), and Dupuytren's disease (DD). RESULTS: The prevalence of overall DHS was estimated at 2472 per 105 for the diabetics, compared with 1641 per 105 for the controls, representing a prevalence RR of 1.51 (95 % confidence interval [CI] 1.39-1.64). Stratified analyses further revealed that the significantly increased prevalence of overall DHS was more evident in females than males (1.59 vs 1.36) and was only noted in diabetics aged ≥35 years. Cause-specific analysis suggested that patients with diabetes had the highest prevalence of CTS (1244 per 105 ), followed by SFT (1209 per 105 ), LJM (39 per 105 ), and DD (6 per 105 ). In addition, diabetes was only significantly associated with CTS (RR 1.34; 95 % CI 1.20-1.51) and SFT (1.74; 95 % CI 1.54-1.97). CONCLUSION: The prevalence of overall and certain cause-specific DHS was significantly elevated in patients with diabetes in Taiwan.

Medical claims-based case-control study of temporal relationship between clinical visits for hand syndromes and subsequent diabetes diagnosis: implications for identifying patients with undiagnosed type 2 diabetes mellitus.

OBJECTIVES: To investigate whether a temporal relationship is present between clinical visits for diabetes-related hand syndromes (DHSs) and subsequent type 2 diabetes mellitus (T2DM) diagnosis and, accordingly, whether DHSs can be used for identifying patients with undiagnosed T2DM. DESIGN: This study had a case-control design nested within a cohort of 1 million people from the general population, which was followed from 2005 to 2010. The odds of prior clinical visits for DHSs, namely carpal tunnel syndrome (CTS), flexor tenosynovitis, limited joint mobility and Dupuytren's disease, were estimated for cases and controls. We used a conditional logistic regression model to estimate the OR and 95% CI of T2DM in association with a history of DHSs. The validity and predictive value of using the history of DHSs in predicting T2DM diagnosis were calculated. SETTING: Taiwan National Health Insurance medical claims. PARTICIPANTS: We identified 33 571 patients receiving a new diagnosis of T2DM (cases) between 2005 and 2010. Each T2DM case was matched with 5 controls who had the same sex and birth year and were alive on the date of T2DM diagnosis. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was T2DM diagnosis. RESULTS: The OR of T2DM in association with prior clinical visits was significantly increased for overall DHS and CTS, being 1.15 (95% CI 1.10 to 1.20) and 1.22 (95% CI 1.16 to 1.29), respectively. Moreover, 11% of patients with T2DM made clinical visits for CTS within 3 months prior to T2DM diagnosis. The history of DHSs had low sensitivity (<0.1% to 5.2%) and a positive predictive value (9.9% to 11.7%) in predicting T2DM. CONCLUSIONS: Despite the unsatisfactory validity and performance of DHSs as a clinical tool for detecting patients with undiagnosed T2DM, this study provided evidence that clinical visits for DHSs, particularly for CTS, can be a sign of undiagnosed T2DM.

A Population-Based Study of All-Cause Mortality and Cardiovascular Disease in Association With Prior History of Hypoglycemia Among Patients With Type 1 Diabetes.

OBJECTIVE: This study investigated the effects of severe hypoglycemia on risks of all-cause mortality and cardiovascular disease (CVD) incidence in patients with type 1 diabetes mellitus (T1DM). RESEARCH DESIGN AND METHODS: Two nested case-control studies with age- and sex-matched control subjects and using the time-density sampling method were performed separately within a cohort of 10,411 patients with T1DM in Taiwan. The study enrolled 564 nonsurvivors and 1,615 control subjects as well as 743 CVD case subjects and 1,439 control subjects between 1997 and 2011. History of severe hypoglycemia was identified during 1 year, 1-3 years, and 3-5 years before the occurrence of the study outcomes. Conditional logistic regression analyses were performed to estimate the odds ratio (OR) and 95% CI of the study outcomes. RESULTS: Prior severe hypoglycemic events within 1 year were associated with higher risks of all-cause mortality and CVD (adjusted OR 2.74 [95% CI 1.96-3.85] and 2.02 [1.35-3.01], respectively). Events occurring within 1-3 years and 3-5 years before death were also associated with adjusted ORs of 1.94 (95% CI 1.39-2.71) and 1.68 (1.15-2.44), respectively. Significant dose-gradient effects of severe hypoglycemia frequency on mortality and CVD were observed within 5 years. CONCLUSIONS: Although the CVD incidence may be associated with severe hypoglycemic events occurring in the previous year, the risk of all-cause mortality was associated with severe hypoglycemic events occurring in the preceding 5 years. Exposure to repeated severe hypoglycemic events can lead to higher risks of mortality and CVD.

Inverse relationship between ambient temperature and admissions for diabetic ketoacidosis and hyperglycemic hyperosmolar state: A 14-year time-series analysis.

This study aimed to investigate the association of admissions for diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS) with ambient temperature and season, respectively in patients with diabetes mellitus (DM), after excluding known co-morbidities that predispose onset of acute hyperglycemia events. This was a time series correlation analysis based on medical claims of 40,084 and 33,947 episodes of admission for DKA and HHS, respectively over a 14-year period in Taiwan. These episodes were not accompanied by co-morbidities known to trigger incidence of DKA and HHS. Monthly temperature averaged from 19 meteorological stations across Taiwan was correlated with monthly rate of admission for DKA or HHS, respectively, using the 'seasonal Autoregressive Integrated Moving Average' (seasonal ARIMA) regression method. There was an inverse relationship between ambient temperature and rates of admission for DKA (ß=-0.035, p<0.001) and HHS (ß=-0.016, p<0.001), despite a clear decline in rates of DKA/HHS admission in the second half of the study period. We also noted that winter was significantly associated with increased rates of both DKA (ß=0.364, p<0.001) and HHS (ß=0.129, p<0.05) admissions, as compared with summer. On the other hand, fall was associated with a significantly lower rate of HHS admission (ß=-0.016, p<0.05). Further stratified analyses according to sex and age yield essentially similar results. It is suggested that meteorological data can be used to raise the awareness of acute hyperglycemic complication risk for both patients with diabetes and clinicians to further avoid the occurrence of DKA and HHS.

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.

Association Between History of Severe Hypoglycemia and Risk of Falls in Younger and Older Patients With Diabetes.

To compare the incidence and relative risk of falls between adults with and without diabetes, and to prospectively assess the role of history of severe hypoglycemia in the putative relationship between diabetes and falls in younger and older people, respectively.The National Health Insurance Research Database in Taiwan was used in this cohort study. Diabetic cases (with and without history of severe hypoglycemia) and nondiabetic people were followed from 2000 to 2009. There were 31,049 people enrolled in each of the 3 groups. Subdistribution hazard ratio (sHR) of falls was estimated with considering death as a competing risk by using Fine and Gray method. Demographic characteristics, diabetes-related complications, and comorbidities associated with falls were adjusted in multivariable Cox regression model.As compared to nondiabetic people, adjusted sHR was 1.13 for diabetes without history of severe hypoglycemia (DwoH) and 1.63 for diabetes with history of severe hypoglycemia (DwH), respectively. DwH group was associated with a higher risk than DwoH (adjusted sHR = 1.57). All of the excessive risks were more pronounced in people younger than 65 years old than in older people.Patients with diabetes had increased risk of falls. Severe hypoglycemia was further associated with a higher risk in diabetes, the increased hazards were particularly pronounced in people younger than 65 years old. Because falls in younger people may result in a greater economic and social loss, our study call for proper attentions to prevention of falls in younger patients (<65 years old) with diabetes.