Associations between health literacy and patient outcomes in adolescents and young adults with cystic fibrosis.

BACKGROUND: Interactive health literacy (HL) skills enable individuals to participate more fully in healthcare activities and play a role in improving their outcomes. We examine the associations between HL and cystic fibrosis (CF) outcomes and compare HL in a sample from both the Irish CF and general populations. METHODS: A total of251 CF Registry participants aged 13-30 years completed the HLS-EU-Q16 survey and a disease-specific instrument for measuring quality of life (QoL) in CF. Health outcome and healthcare resource utilization (HCRU) data were sourced from the registry. CF patient outcomes were examined using generalized linear models (GLMs) with interactive HL categorization included as a factor. General population interactive HL data are from the 2011 European HL Survey (HLS-EU). Interactive HL in 180 age-sex matched CF and general population individuals was examined using a GLM with study population, sex and educational level included as factors and age as a covariate. RESULTS: Sufficient interactive HL (total sum score ≥13) was self-reported by 81.7% of individuals with CF. Sufficient HL was associated with fewer outpatient visits [7.02(SD = 6.7: 7.4) vs. 8.74(SD = 7.9: 9.6), P < 0.001], days hospitalized [10.25(SD = 9.8: 10.7) vs. 12.8(SD = 11.8: 13.9), P < 0.001], days on intravenous antibiotics [15.3(SD = 14.7: 15.8) vs. 19.7(18.5: 21.1), P < 0.001], days on oral antibiotics [27.4(SD = 26.7: 28.1) vs. 48.48(38.7: 42.4), P < 0.001] and better QoL [77.1(SD = 75.4-78.9) vs. 64.6(60.8-68.3), P < 0.001]. Mean HL scores in CF and general populations were sufficient, although higher among individuals with CF (14.3 vs. 13.1, P < 0.01). CONCLUSION: CF adolescents and young adults with sufficient levels of HL to obtain, understand, appraise and apply health information have better health-related outcomes.

Longitudinal Trends in Real-World Outcomes after Initiation of Ivacaftor. A Cohort Study from the Cystic Fibrosis Registry of Ireland.

RATIONALE: Patient registries have the potential to collect and analyze high-quality postauthorization data on new medicines. OBJECTIVES: We used cystic fibrosis (CF) registry data to assess outcomes after the initiation of ivacaftor, a CF transmembrane conductance regulator (CFTR) potentiator approved for the treatment of CF with a defective gating CFTR mutation. METHODS: Longitudinal trends were examined using mixed-effects regression analysis in 80 ivacaftor-treated patients with CF aged 6 to 56 years registered with the CF Registry of Ireland with at least 36 months of before and after commencement data. The effects of ivacaftor treatment on forced expiratory volume in 1 second (FEV1) % predicted, body mass index (BMI), hospitalization for pulmonary exacerbation, and oral and intravenous antibiotic use were assessed. RESULTS: In the 36 months after ivacaftor initiation, FEV1% predicted improved by 2.26% per annum (95% confidence interval [CI], 0.2 to 4.3) for patients aged younger than 12 years, remained unchanged for 12- to younger than 18-year-olds (95% CI, -1.9 to 2.9), and declined in adults by 1.74% per annum (95% CI, -3.1 to -0.4). BMI in adults increased 0.28 kg/m2 per annum (95% CI, 0.03 to 0.5), and there was no significant change in BMI z-score in children (95% CI, -0.01 to 0.1). In the year after ivacaftor initiation, intravenous antibiotic treatment reduced by 46% (95% CI, -62.5% to -23.3%, oral antibiotic treatment reduced by 49% (95% CI, -61.1% to -32.1%), and there was no significant reduction in hospitalization (95% CI, -59.2% to 9.7%). CONCLUSIONS: In this study of real-world CF registry data, clinical outcomes improved and healthcare resource utilization decreased after commencing ivacaftor.

Epidemiology of CF: How registries can be used to advance our understanding of the CF population.

Cystic fibrosis (CF) registries work by bringing patient data together from specialist CF centres and accumulating data on a relatively rare condition over patients' lifetimes. In this review, we examine the origin of national CF registries, the use of registries for monitoring the health of the population, the power of conducting longitudinal analysis of registry data, knowledge gleaned from changing demographics, the evolving area of international comparisons of registries, strategies for sustaining registries and CF registries of the future. Examples of research undertaken using registry data and routinely reported CF registry statistics from across the world are provided. The application, utility and challenges facing CF registries in the future are discussed.

Estimating Direct Cost of Cystic Fibrosis Care Using Irish Registry Healthcare Resource Utilisation Data, 2008-2012.

BACKGROUND: Understanding the determinants of cost of cystic fibrosis (CF) care and health outcomes may be useful for financial planning for the delivery of CF services. Registries contain information otherwise unavailable to healthcare activity/cost monitoring systems. We estimated the direct medical cost of CF care using registry data and examined how cost was affected by patient characteristics and CF gene (CF Transmembrane Conductance Regulator [CFTR]) mutation. METHODS: Healthcare resource utilisation data (2008-2012) were obtained for CF patients enrolled with the Irish CF Registry by 2013 from linked registry and national hospitalisation database records. Mean annual hospitalisation and medication per-patient costs were estimated by demographic profile, CFTR mutation, clinical status, and CF co-morbidity, and were presented in 2014 euro values. A mixed-effects regression model was used to examine the effect of demographic, CFTR mutation, and clinical outcomes on the log10 cost of direct medical CF care. RESULTS: Using 4261 observations from 1100 patients, we found that the median annual total cost per patient increased over the period 2008-2012 from €12,659 to €16,852, inpatient bed-day cost increased from €14,026 to €17,332, and medication cost increased from €5863 to €12,467. Homozygous F508-CFTR mutation (class II) cost was highest and milder mutation (class IV/V) cost was 49% lower. Baseline estimated cost in 2008 for a hypothetical underweight, homozygous F508del-CFTR 6-year-old female without chronic Pseudomonas aeruginosa/Staphylococcus aureus, CF-related diabetes (CFRD) or methicillin-resistant S. aureus (MRSA), and with a poor percent predicted forced expiratory volume in 1 s (ppFEV1) was €10,113, and was €21,082 in a 25-year-old with the same hypothetical profile. Chronic P. aeruginosa infection increased baseline cost by 39%, CF co-morbidity diabetes by 18%, and frequency of pulmonary exacerbation by 15%. Underweight, declining ppFEV1, chronic S. aureus colonisation, and time also influenced cost. CONCLUSIONS: CFTR mutation is an important factor influencing the cost of CF care. Costs differ among cohorts of CF patients eligible to access new and emerging CFTR repair therapies. These findings support the evaluation of outcome-associated cost in CFTR mutation-specific CF patient groups.

Fasting plasma glucose as initial screening for diabetes and prediabetes in irish adults: The Diabetes Mellitus and Vascular health initiative (DMVhi).

OBJECTIVE: Type 2 diabetes has a long pre clinical asymptomatic phase. Early detection may delay or arrest disease progression. The Diabetes Mellitus and Vascular health initiative (DMVhi) was initiated as a prospective longitudinal cohort study on the prevalence of undiagnosed Type 2 diabetes and prediabetes, diabetes risk and cardiovascular risk in a cohort of Irish adults aged 45-75 years. RESEARCH DESIGN AND METHODS: Members of the largest Irish private health insurance provider aged 45 to 75 years were invited to participate in the study. EXCLUSION CRITERIA: already diagnosed with diabetes or taking oral hypoglycaemic agents. Participants completed a detailed medical questionnaire, had weight, height, waist and hip circumference and blood pressure measured. Fasting blood samples were taken for fasting plasma glucose (FPG). Those with FPG in the impaired fasting glucose (IFG) range had a 75gm oral glucose tolerance test performed. RESULTS: 122,531 subjects were invited to participate. 29,144 (24%) completed the study. The prevalence of undiagnosed diabetes was 1.8%, of impaired fasting glucose (IFG) was 7.1% and of impaired glucose tolerance (IGT) was 2.9%. Dysglycaemia increased among those aged 45-54, 55-64 and 65-75 years in both males (10.6%, 18.5%, 21.7% respectively) and females (4.3%, 8.6%, 10.9% respectively). Undiagnosed T2D, IFG and IGT were all associated with gender, age, blood pressure, BMI, abdominal obesity, family history of diabetes and triglyceride levels. Using FPG as initial screening may underestimate the prevalence of T2D in the study population. CONCLUSIONS: This study is the largest screening study for diabetes and prediabetes in the Irish population. Follow up of this cohort will provide data on progression to diabetes and on cardiovascular outcomes.

Validation and use of a parametric model for projecting cystic fibrosis survivorship beyond observed data: a birth cohort analysis.

BACKGROUND: The current lifetable approach to survival estimation is favoured by CF registries. Recognising the limitation of this approach, we examined the utility of a parametric survival model to project birth cohort survival estimates beyond the follow-up period, where short duration of follow-up meant median survival estimates were indeterminable. METHODS: Parametric models were fitted to observed survivorship data from the US CF Foundation (CFF) Patient Registry 1980-1994 birth cohort. Model-predicted median survival was estimated. The best fitting model was applied to a Cystic Fibrosis Registry of Ireland dataset to allow an evaluation of the model's ability to estimate predicted median survival. This involved a comparison of birth cohort lifetable predicted and observed (Kaplan-Meier) median survival estimates. RESULTS: A Weibull model with main effects of gender and birth cohort was developed using a US CFF dataset (n=13,115) for which median survival was not directly estimable. Birth cohort lifetable predicted median survival for male and female patients born between 1985 and 1994 and surviving their first birthday was 50.9 and 42.4 years respectively. To evaluate the accuracy of a Weibull model in predicting median survival, a model was developed for the 1980-1984 Cystic Fibrosis Registry of Ireland birth cohort (n=243), which had an observed (Kaplan-Meier) median survival of 27.7 years. Model-predicted median survival estimates were calculated using data censored at different follow-up periods. The estimates converged to the true value as length of follow-up increased. CONCLUSIONS: Accurate prognostic information that is clinically critical for care of patients affected by rare, life-limiting disorders can be provided by parametric survival models. Problems associated with short duration of follow-up for recent birth cohorts can be overcome using this approach, providing better opportunities to monitor survival and plan services locally.

The application of current lifetable methods to compare cystic fibrosis median survival internationally is limited.

BACKGROUND: Comparing international estimates of survival can be a useful way of highlighting differences in life expectancy between cystic fibrosis (CF) populations. In this study, we compared survival in two CF populations. METHODS: The current lifetable method takes age-specific mortality rates observed in a given year and applies them to a hypothetical population assuming those rates will remain the same in the future. This was used to compare median predicted survival in the United States (US) and the Republic of Ireland (RoI) (1986-2008). Median age at death among decedents was also examined. RESULTS: In both countries, median age at death was lower than median predicted survival. Successive increases in annual median predicted survival were not observed; rather an overall improvement was discerned over time. In the RoI, where absolute numbers of deaths were small, year-on-year fluctuations in age-specific mortality rates resulted in wide-ranging annual median predicted survival estimates. CONCLUSION: Median age at death is not a good measure of CF survival. Though median predicted survival improved in each country over the study period, between-country comparison at a given time point may be misleading for rare disorders like CF. Longitudinal outcomes must be examined.