Validity of a condition specific outcome measure for fragile X syndrome: the Aberrant Behaviour Checklist-utility index.

BACKGROUND: The purpose of this study was to assess the construct validity of the Aberrant Behaviour Checklist-utility index (ABC-UI) by examining the relationship between healthcare resource utilisation by patients with fragile X syndrome (FXS) as well as burden experienced by their caregivers. METHOD: In 2011, a total of 350 US caregivers of individuals with FXS completed a questionnaire that captured information on FXS-related burden as well as the ABC-Community. Using the ABC-UI, a condition-specific outcome measure derived from the ABC-Community, five utility index categories were created: very low (0.00-0.33); low (0.34-0.66); moderate (0.67-0.77); high (0.78-0.89); and very high (0.90-1.00). Multivariable regression models examined the association between the utility value and nine burden-related outcomes. RESULTS: Approximately 2% of individuals with FXS were in the very low utility index category, 31% low, 27% moderate, 38% high and 3% very high. The median utility value was 0.74. Women with FXS and adults 18 years and older had higher values. Regression results indicate that individuals with higher utility values were more likely to have fewer specialist visits, use fewer prescription medications, need fewer hours of unpaid caregiving, inflict fewer caregiver injuries and have caregivers with fewer mental health provider visits. CONCLUSIONS: The ABC-UI appears to function well as condition-specific outcome measure, and as an indicator of health-related quality-of-life and economic burden in individuals with FXS. Among patients with FXS in the US and their caregivers, significant differences in health care resource utilisation and burden exist across health state utility categories.

Fragile X syndrome: economic burden and health-related quality of life of patients and caregivers in France.

BACKGROUND: Fragile X syndrome (FXS) is the main hereditary cause of intellectual disability. Although the associated burden appears to be considerable, to date no study has comprehensively assessed the cost incurred because of FXS, including its specific impact on health-related quality of life and the burden on caregivers using standardised quantitative tools. The aim of this article is to provide data in order to increase awareness of the repercussions of FXS on patients and caregivers as well as on the health and social care systems in France. METHODS: A retrospective cross-sectional study was carried out on 145 patients recruited through Le Goëland X-Fragile and Mosaïques, the French FXS patient associations. Data on their demographic characteristics and resource use were obtained from an online questionnaire, and costs were estimated by a bottom-up approach. The EQ-5D health questionnaire was used to measure patients' and caregivers' health-related quality of life. Perceived burden of care was measured using the Zarit Caregiver Burden Interview. The Barthel index, a non-utility-based assessment, was used to measure patients' level of dependence. RESULTS: The annual total direct cost of FXS was estimated at €25 800 per patient. The main contributors were informal care provided by the main caregiver (€10 500) and social services (€8400). Healthcare costs, estimated at €2700, represented only a minor share. Mean EQ-5D utility scores were 0.49 for patients and 0.75 for caregivers. The mean burden for caregivers as measured by the Zarit Caregiver Burden Interview was 39.9. CONCLUSIONS: Fragile X syndrome requires significant resources that are mainly of a non-medical nature and are higher for children than for adults. Compared with related diseases, it constitutes a particularly high burden for caregivers. Using a bottom-up approach and a wide range of standardised measures, this study underscores the need for greater awareness of the burden of FXS as well as an assessment of new and existing interventions to address it.

Employment impact and financial burden for families of children with fragile X syndrome: findings from the National Fragile X Survey.

BACKGROUND: The employment impact and financial burden experienced by families of children with fragile X syndrome (FXS) has not been quantified in the USA. METHOD: Using a national fragile X family survey, we analysed data on 1019 families with at least one child who had a full FXS mutation. Out-of-pocket expenditures related to fragile X were reported. We used logistic regression to examine the role of insurance, number of affected children, and number of total co-occurring conditions in predicting the financial burden and employment impact of FXS, while adjusting for race, education, marital status and other sociodemographic predictors. RESULTS: Almost half of families affected by FXS reported that they had experienced an increased financial burden and nearly 60% stated that they had had to change work hours or stop work because of FXS. Families with health insurance that met family needs were significantly less likely to report an excess financial burden. The type of insurance (private or public) was not associated with the reported financial burden. Affected children's mutation status, especially male children with the full mutation, was associated with employment impact. The total number of co-occurring conditions was associated with both financial burden and employment impact. CONCLUSIONS: Families affected by FXS experienced a significant employment impact and financial burden. Policies designed to help families with FXS need to take into consideration the dimension of co-occurring conditions.

Burden of illness among patients with fragile X syndrome (FXS): a Medicaid perspective.

BACKGROUND: Fragile X syndrome (FXS) is an inherited intellectual disability that imposes a substantial clinical and humanistic burden on patients and caregivers. This study aimed to quantify the incremental burden of illness following FXS diagnosis in Medicaid populations. METHODS: A retrospective matched-cohort study was conducted using FL, NJ, MO, IA, and KS Medicaid claims (1997-2012). Patients with FXS were matched 1:5 to a comparison group without FXS, based on age, gender, state, and continuous Medicaid coverage. Healthcare resource utilization and costs were compared among cohorts over 1 year following first diagnosis. RESULTS: Overall, 697 patients with FXS were matched to 3485 non-FXS patients. Median age was 12.0 years; 82% were male. Newly diagnosed FXS patients were younger (median age: 7.0 years). During the follow-up, patients with FXS had significantly higher medication use, medical procedure use, medical specialist visits, and associated costs than the non-FXS comparison group. One-fourth of FXS patients filled prescriptions for stimulants, antipsychotics, or anticonvulsants; 25% of patients with FXS had speech and language therapy and 39% had physical therapy (versus 9%, 4% and 8%, respectively, for the comparison group). At least 44% of FXS patients visited a neurologist, cardiologist, otolaryngologist, or gastroenterologist; 92% of patients with FXS had an outpatient visit, 35% had an emergency room visit, and 34% used home services (compared to 31%-32%, 64%, 27%, and 10%, respectively, for the comparison group) (all p < 0.05). Patients with FXS had an incremental annual total healthcare cost of $33,409 (2012$) per person relative to the comparison group, while newly diagnosed FXS patients had incremental total annual healthcare costs of $17,617 (2012$) per person. CONCLUSIONS: Both established and newly diagnosed FXS were associated with significantly increased use of multiple medications and medical services, and increased healthcare costs. Treatments that could help reduce this disease burden are urgently needed.

Social/economic costs and health-related quality of life in patients with fragile X syndrome in Europe.

OBJECTIVE: To estimate the social/economic costs of fragile X syndrome (FXS) in Europe and to assess the health-related quality of life (HRQOL) of patients and caregivers. METHODS: A cross-sectional study was conducted in a sample of European countries. Patients were recruited through patients' associations. Data on their resource use and absence from the labour market were retrospectively obtained from an online questionnaire. Costs were estimated by a bottom-up approach and the EuroQol-5 Domain (EQ-5D) questionnaire was used to measure patients' and caregivers' HRQOL. RESULTS: Five countries were included in the analysis. The mean annual cost of FXS per patient varied from €4951 in Hungary to €58,862 in Sweden. Direct non-healthcare costs represented the majority of costs in all countries but there were differences in the share incurred by formal and informal care among those costs. Costs were also shown to differ between children and adults. Mean EQ-5D utility score for adult patients varied from 0.52 in France (n = 42) to 0.73 in Hungary (n = 2), while for caregivers this score was consistently inferior to 0.87. CONCLUSION: Our findings underline that, although its prevalence is low, FXS is costly from a societal perspective. They support the development of tailored policies to reduce the consequences of FXS on both patients and their relatives.

Patient and Caregiver Burden Associated With Fragile X Syndrome in the United States.

This study evaluated the incremental healthcare costs associated with Fragile X syndrome (FXS) for patients and their caregivers. Using administrative healthcare claims data (1999-2012), subjects with ≥ 1 FXS diagnosis (ICD-9-CM: 759.83) were matched 1:5 with non-FXS controls using high-dimensional propensity scores. Costs and resource utilization were examined. Among employees, payment for disability leave and absenteeism were also examined. We identified 590 FXS and 2,950 non-FXS individuals along with 647 and 2,611 caregivers, respectively. FXS patients and their caregivers experienced higher all-cause direct costs compared to control cohorts (total[SD]: $14,677[46,752] vs. $6,103[26,081]; $5,259[19,360] vs. $2,120[6,425], respectively, p < 0.05). Employed FXS patients and caregivers had higher indirect costs compared to their controls (total[SD]: $4,477[5,161] vs. $1,751[2,556]; $2,641[4,238] vs. $1,211[1,936], respectively, p < 0.05).

Some economics on personalized and predictive medicine.

OBJECTIVE: To contribute to the theoretical literature on personalized medicine, analyzing and integrating in an economic model, the decision a health authority faces when it must decide on the implementation of personalized medicine in a context of uncertainty. METHODS: We carry out a stylized model to analyze the decision health authorities face when they do not have perfect information about the best treatment for a population of patients with a given disease. The health authorities decide whether to use a test to match patients with treatments (personalized medicine) to maximize health outcomes. Our model characterizes the situations under which personalized medicine dominates the alternative option of business-as-usual (treatment without previous test). We apply the model to the KRAS test for colorectal cancer, the PCA3 test for prostate cancer and the PCR test for the X-fragile syndrome, to illustrate how the parameters and variables of the model interact. RESULTS: Implementation of personalized medicine requires, as a necessary condition, having some tests with high discriminatory power. This is not a sufficient condition and expected health outcomes must be taken into account to make a decision. When the specificity and the sensitivity of the test are low, the health authority prefers to apply a treatment to all patients without using the test. When both characteristic of the test are high, the health authorities prefer to personalize the treatments when expected health outcomes are better than those under the standard treatment. When we applied the model to the three aforementioned tests, the results illustrate how decisions are adopted in real world. CONCLUSIONS: Although promising, the use of personalized medicine is still under scrutiny as there are important issues demanding a response. Personalized medicine may have an impact in the drug development processes, and contribute to the efficiency and effectiveness of health care delivery. Nevertheless, more accurate statistical and economic information related to tests results and treatment costs as well as additional medical information on the efficacy of the treatments are needed to adopt decisions that incorporate economic rationality.

Experiences and attitudes concerning genetic testing and insurance in a Colorado population: a survey of families diagnosed with fragile X syndrome.

This study examined the relationship between diagnosis, experience with insurance underwriting, and perceptions of difficulties with insurance in genetically tested families. Discrimination was strictly defined as the misuse of genetic information in underwriting. Forty-eight families received a survey and thirty-nine (81%) responded. No insurance cancellations were reported although many families believed that it happened often. The fear evidenced by the respondents was out of proportion to the experiences and 66% of the families reported moderate to moderate to extreme worry over losing health insurance. Genetic counselors and others involved in caretaking of diagnosed families must expand their roles to assist in providing access to local resources and information concerning insurance issues and other social issues. Addressing medical issues alone will not provide the assistance these families require.

Cystic fibrosis and fragile X syndrome: the arguments for antenatal screening.

The ultimate public health aim of genetic screening is prevention. This can be achieved by reducing birth prevalence through primary or secondary methods such as pre-conceptional or antenatal screening. Tertiary prevention by neonatal screening is also an option where there is direct unbiased evidence for a substantial improvement in prognosis. In addition to this, the information provided during screening is also of value, enabling individuals to make choices that otherwise would not have been available. Having elucidated the natural histories and genetic defects underlying two common, serious genetic disorders, cystic fibrosis and fragile X syndrome, considerable efforts have been channelled into ascertaining the most efficacious method of prevention. To date there is only indirect evidence to suggest that neonatal screening improves prognosis in cystic fibrosis. Similarly, treatment for fragile X syndrome is limited and therefore early identification of the disorder by neonatal screening is unlikely to improve long term outlook. Thus the focus of this review is on primary and secondary preventive methods.

National Institutes of Health Center Grants. Final rule.

The National Institutes of Health (NIH) is amending its regulations governing center grants to reflect their applicability to several new grant programs, including research on autism, Alzheimer's disease, fragile X disease, and minority health disparities and other types of health disparities.

Health and economic consequences of fragile X syndrome for caregivers.

OBJECTIVE: To describe the health and economic burden experienced by caregivers of individuals with fragile X syndrome (FXS) and test the assumption that burden is associated with specific dimensions of problem behavior. METHODS: Three hundred fifty caregivers rated their son or daughter's problem behavior and reported the use of medical services, caregiving time, impact on employment, financial burden, caregiver injuries, caregiver mental health, and prescription drug use. RESULTS: The son's FXS posed a significant burden for caregivers in a number of areas. Visits to medical specialists were common for both males (5.4 per year) and females (5.1 per year). Caregivers reported 9.2 hours per day of family caregiving for males with FXS and an additional 5.5 hours of paid help. Most families reported that FXS had at least some financial impact on the family, and caregivers had to take an average of 19.4 hours from work each month to care for their child's needs. Almost one third of the caregivers had been injured by their child at least once in the past year; when injuries occurred, the frequency was high (14.7 per year), of which 2.7 required medical care. Approximately one third of the caregivers had seen a professional for anxiety, stress, or depression during the past year, and one fourth were taking medication to help with these symptoms. Caregiver burden was highly associated with problem behavior, most commonly irritability. CONCLUSION: Problem behavior is a strong contributor to burden experienced by caregivers of children and adults with FXS. Clinicians should be aware of the role problem behavior plays in family adaptation and help families access appropriate medical and social support services.

Economic evaluation of prenatal population screening for fragile X syndrome.

OBJECTIVES: This paper models costs and benefits of a population screening programme for pregnant women to detect fragile X syndrome. Given the high lifetime costs of fragile X and the high sensitivity and specificity of testing, such a programme may seem attractive. METHODS: Economic evaluation. RESULTS: Our base case results indicate that such a programme seems close to cost neutral, so may indeed seem attractive for this reason. However, sensitivity analysis shows that assumptions regarding lifetime costs are crucial to results; our results suggest if lifetime costs are under AUD 2.5 million, costs of screening will exceed future costs avoided. CONCLUSIONS: Economic modelling of screening programmes reveals valuable information which might have an influence on the debate on the social value of a population screening programme for fragile X in pregnant women.

Cost-effectiveness analysis of prenatal population-based fragile X carrier screening.

OBJECTIVE: To investigate the cost-effectiveness of a widespread prenatal population-based fragile X carrier screening program. STUDY DESIGN: A decision tree was designed comparing screening versus not screening for the fragile X mental retardation protein 1 premutation in all pregnant women. Baseline values included a prevalence of fragile X mental retardation protein 1 premutations of 3.3 per 1000, a premutation expansion rate of 11.3%, and a 99% sensitivity of the screening test. The cost of the screening test was varied from 75 US dollars to 300 US dollars. A sensitivity analysis of the probabilities, utilities, and costs was performed. RESULTS: The screening strategy would lead to the identification of 80% of the fetuses affected by fragile X annually. Assuming the cost of 95 US dollars per test and only one child, the program would be cost effective at 14,858 US dollars per quality-adjusted life-year. The screening strategy remained cost effective up to 140 US dollars per test and 1 child per woman or for 2 children per woman up to a cost of 281 US dollars per test. CONCLUSION: Population-based screening for the fragile X premutation may be both clinically desirable and cost effective. Prospective pilot studies of this screening modality are needed in the prenatal setting.