A model for building a national, patient-driven database to track contraceptive use in women with rare diseases.

Data on the safety and effectiveness of contraception among women with rare diseases are critical and sorely lacking. To fill this gap, we propose a national, patient-driven database that tracks contraceptive safety and effectiveness among women with rare diseases. We built a pilot database focusing on women with cystic fibrosis in 3 phases: (1) database design input from patients and experts, (2) merging of contraceptive survey data with relevant clinical outcomes from the Cystic Fibrosis Foundation Patient Registry (CFFPR), and (3) forming a data guide to facilitate accessible output data. We successfully linked 62 contraceptive survey variables with 362 relevant clinical outcome variables for 150 patients. This pilot represents a breakthrough in linking contraceptive data to disease-specific outcomes and informs how to build a national, patient-driven contraceptive database for women with rare diseases.

Palivizumab and Long-term Outcomes in Cystic Fibrosis.

BACKGROUND: The American Academy of Pediatrics does not recommend routine use of palivizumab prophylaxis for infants with cystic fibrosis (CF) but recommends consideration in infants with clinical evidence of chronic lung disease or nutritional compromise. However, the beneficial impact of palivizumab on longer-term outcomes is uncertain. METHODS: We used Cystic Fibrosis Foundation Patient Registry data to assess the association of receiving palivizumab during the first 2 years of life with longer-term outcomes, including lung function at 7 years old, time to first positive Pseudomonas respiratory culture, and pulmonary-related hospitalizations during the first 7 years of life. Eligible infants were born from 2008 to 2015 and diagnosed with CF during the first 6 months of life. Demographic and clinical confounders of association between palivizumab receipt and outcomes were explored. We created propensity scores to adjust for potential confounding by indication (ie, sicker infants were more likely to receive palivizumab). For each outcome, we performed regression analyses adjusted by propensity scores. RESULTS: The sample included 4267 infants; 1588 (37%) received palivizumab. Mean percent forced expiratory volume in 1 second predicted at 7 years old was similar among those who did (98.2; 95% confidence interval: 96.9-99.5) and did not (97.3; 95% confidence interval: 96.1-98.5) received palivizumab, adjusting for propensity scores. Time to first positive Pseudomonas aeruginosa culture and annual risk of hospitalization were similar among those who did and did not receive palivizumab. CONCLUSIONS: At the population level, palivizumab receipt was not associated with improved longer-term outcomes in children with CF.

Linkage of the CF foundation patient registry with the pediatric health information system database.

INTRODUCTION: The Cystic Fibrosis Foundation Patient Registry (CFFPR) contains clinical and demographic data from ∼85% of US cystic fibrosis (CF) patients across 120 care centers, but lacks robust inpatient hospitalization data. In contrast, the Pediatric Health Information System (PHIS) database includes inpatient clinical and resource utilization data from 49 US children's hospitals. The creation of a linked CFFPR-PHIS dataset can uniquely address questions related to in-hospital pediatric CF treatment and management. We assessed the feasibility of linking the CFFPR and PHIS databases and determined if successfully linked CF patients were generalizable to unlinked patients. METHODS: CF patients ≤21 years were eligible for linkage. The CFFPR and PHIS databases were linked at the patient level using indirect identifiers in a stepwise, deterministic, linkage approach. A validation cohort was created using a subset of patients to determine linkage accuracy. Clinical and demographic characteristics between linked and unlinked patients were compared to determine generalizability of the linked cohort. RESULTS: Of the 11 735 CF patients eligible for linkage from January 1st, 2005 through December 31st, 2016, 10 660 (91%) were successfully linked. Results of our single center validation cohort illustrated 100% accuracy. When compared to unlinked CF patients, fewer linked patients were born before 1990, more were Hispanic, and more were from West-affiliated PHIS hospitals. Otherwise, no clinically meaningful differences were seen between linked and unlinked CF patients. CONCLUSIONS: We demonstrated successful linkage of the CFFPR and PHIS databases, and created a large generalizable pediatric CF cohort for use in CF-related research.

Rate and predictors of prescription of lumacaftor - Ivacaftor in the 18 months following approval in the United States.

RATIONALE: Lumacaftor-ivacaftor (LUM-IVA) was approved in the US in 2015 for patients with CF aged >12 homozygous for the delF508 mutation, and patients aged 6 to 12 in 2016. OBJECTIVES: To examine the rate of initial LUM-IVA prescriptions following approval. METHODS: We compared patients eligible for LUM-IVA in the CF Foundation Patient Registry with and without prescriptions in 2015-2016. RESULTS: 5534 (53%) eligible patients had reported prescriptions. Prescription rate in children ages 6-11 was 19% and 61% among patients ≥12 years old. Individuals ≥12 with prescriptions more likely observed among those with private insurance, clinical trial participation, ages 18-30, FEV1 < 90%, more pulmonary exacerbations, and more use of chronic medications. CONCLUSIONS: LUM-IVA uptake was less rapid than what was previously observed for ivacaftor, a CFTR modulator approved for a different population. Age, insurance status, disease severity and use of other therapies differed in those prescribed LUM-IVA in the initial post-approval period.

Data that empower: The success and promise of CF patient registries.

In this article, we describe existing CF registries with a focus on US registry data collected through the CF Foundation Patient Registry (CFFPR) and the Epidemiologic Study of CF (ESCF); highlight what registries have taught us regarding epidemiology of CF; showcase the impact of registries on research and clinical care; and discuss future directions. This manuscript complements the plenary address given by Dr Wayne Morgan at the 2016 North American CF Conference by summarizing the key points from the presentation and providing additional detail and information.

The challenge of measuring intra-individual change in fatigue during cancer treatment.

PURPOSE: To evaluate how well three different patient-reported outcomes (PROs) measure individual change. METHODS: Two hundred and fourteen patients (from two sites) initiating first or new chemotherapy for any stage of breast or gastrointestinal cancer participated. The 13-item FACIT Fatigue scale, a 7-item PROMIS® Fatigue Short Form (PROMIS 7a), and the PROMIS® Fatigue computer adaptive test (CAT) were administered monthly online for 6 months. Reliability of measured change was defined, under a population mixed effects model, as the ratio of estimated systematic variance in rate of change to the estimated total variance of measured individual differences in rate of change. Precision of individual measured change, the standard error of measurement of change, was given by the square root of the rate-of-change sampling variance. Linear and quadratic models were examined up to 3 and up to 6 months. RESULTS: A linear model for measured change showed the following by 6 and 3 months, respectively: PROMIS CAT (0.363 and 0.342); PROMIS SF (0.408 and 0.533); FACIT (0.459 and 0.473). Quadratic models offered no noteworthy improvement over linear models. Both reliability and precision results demonstrate the need to improve the measurement of intra-individual change. CONCLUSIONS: These results illustrate the challenge of reliably measuring individual change in fatigue with a level of confidence required for intervention. Optimizing clinically useful measurement of intra-individual differences over time continues to pose a challenge for PROs.

Review of electronic patient-reported outcomes systems used in cancer clinical care.

PURPOSE: The use of electronic patient-reported outcomes (PRO) systems is increasing in cancer clinical care settings. This review comprehensively identifies existing PRO systems and explores how systems differ in the administration of PRO assessments, the integration of information into the clinic workflow and electronic health record (EHR) systems, and the reporting of PRO information. METHODS: Electronic PRO (e-PRO) systems were identified through a semistructured review of published studies, gray literature, and expert identification. System developers were contacted to provide detailed e-PRO system characteristics and clinical implementation information using a structured review form. RESULTS: A total of 33 unique systems implemented in cancer clinical practice were identified. Of these, 81% provided detailed information about system characteristics. Two system classifications were established: treatment-centered systems designed for patient monitoring during active cancer treatment (n = 8) and patient-centered systems following patients across treatment and survivorship periods (n = 19). There was little consensus on administration, integration, or result reporting between these system types. Patient-centered systems were more likely to provide user-friendly features such as at-home assessments, integration into larger electronic system networks (eg, EHRs), and more robust score reporting options. Well-established systems were more likely to have features that increased assessment flexibility (eg, location, automated reminders) and better clinical integration. CONCLUSION: The number of e-PRO systems has increased. Systems can be programmed to have numerous features that facilitate integration of PRO assessment and routine monitoring into clinical care. Important barriers to system usability and widespread adoption include assessment flexibility, clinical integration, and high-quality data collection and reporting.

Cancer-related chronic pain: examining quality of life in diverse cancer survivors.

BACKGROUND: Disparities in cancer survival and pain rates negatively impact quality of life (QOL). This study examines cancer-related chronic pain (CP) and its impact on QOL in diverse cancer survivors. METHODS: This survey study focused on current and past pain, health, and QOL in black and white cancer survivors. Participants with breast, colorectal, lung, and prostate cancer and multiple myeloma were recruited through the Michigan State Cancer Registry. Analysis of variance was used to examine outcome differences by pain status, race, and sex. Hierarchical regressions explored predictors for experiencing pain. RESULTS: The subjects (N = 199) were 31% black, 49% female, and 57 to 79 years old; 19.5% experienced current pain, and 42.6% reported pain since diagnosis. Women experience more pain (P < .001) and greater pain severity (P = .04) than men. Blacks experienced more pain interference and disability (P < .05). Experiencing pain is related to greater depressive symptoms, poorer functioning, and more symptoms. In hierarchical regressions, female sex predicted pain since diagnosis; pain severity for pain since diagnosis was predicted by black race and female sex. CONCLUSIONS: The authors extend the literature by showing that 20% of diverse cancer survivors had cancer-related CP, and 43% had experienced pain since diagnosis, revealing racial and sex disparities in cancer-related CP's incidence and impact on QOL. Having pain was related to poorer QOL in several domains and was more frequently experienced by women. Although black race was not related to pain prevalence, it was related to greater severity. This study reveals an unaddressed cancer survivorship research, clinical, and policy issue.