Concordance of survey and billing data in a study of outpatient healthcare cost and utilization among epilepsy patients

Agreement between self-reports and statutory health insurance claims data on healthcare utilization in patients with mental disorders

BACKGROUND

Data on resource use are frequently required for healthcare assessments. Studies on healthcare utilization (HCU) in individuals with mental disorders have analyzed both self-reports and administrative data. Source of data may affect the quality of analysis and compromise the accuracy of results. We sought to ascertain the degree of agreement between self-reports and statutory health insurance (SHI) fund claims data from patients with mental disorders.

METHODS

Claims data from six German SHI and self-reports were obtained along with a cost-effectiveness analysis performed as a part of a controlled prospective multicenter cohort study conducted in 18 psychiatric hospitals in Germany (PsychCare), including patients with pre-defined psychiatric disorders. Self-reports were collected using the German adaption of the Client Sociodemographic and Service Receipt Inventory (CSSRI) questionnaire with a 6-month recall period. Data linkage was performed using a unique pseudonymized identifier. Missing responses were coded as non-use for all analyses. HCU was calculated for inpatient and outpatient care, day-care services, home treatment, and pharmaceuticals. Concordance was measured using Cohen's Kappa (κ) and intraclass correlation coefficient (ICC). Regression approaches were used to investigate the effect of independent variables on the agreements.

RESULTS

In total 274 participants (mean age 47.8 [SD = 14.2] years; 47.08% women) were included in the analysis. No significant differences were observed between the linked and unlinked patients in terms of baseline characteristics. Total agreements values were 63.9% (κ = 0.03; PABAK = 0.28) for outpatient contacts, 69.3% (κ = 0.25; PABAK = 0.39) for medication use, 81.0% (κ = 0.56; PABAK = 0.62) for inpatient days and 86.1% (κ = 0.67; PABAK = 0.72) for day-care services. There was varied quantitative agreement between data sources, with the poorest agreement for outpatient care (ICC [95% CI] = 0.22 [0.10-0.33]) and the best for psychiatric day-care services (ICC [95% CI] = 0.72 [0.66-0.78]). Marital status and time since first treatment positively affected the chance of agreement on utilization of outpatient services.

CONCLUSIONS

Although there were high levels of absolute agreement, the measures of concordance between administrative records and self-reports were generally minimal to moderate. Healthcare investigations should consider using linked or at least different data sources to estimate HCU for specific utilization areas, where unbiased information can be expected.

TRIAL REGISTRATION

This study was part of the multi-center controlled PsychCare trial (German Clinical Trials Register No. DRKS00022535; Date of registration: 2020-10-02).

Evaluating the impact of a sleep health education and a personalised smartphone application on sleep, productivity and healthcare utilisation among employees: results of a randomised clinical trial

OBJECTIVES

We evaluated an online Sleep Health and Wellness (SHAW) programme paired with dayzz, a personalised sleep training programme deployed via smartphone application (dayzz app) that promotes healthy sleep and treatment for sleep disorders, among employees at a large healthcare organisation.

DESIGN

Open-label, randomised, parallel-group controlled trial.

SETTING

A healthcare employer in the USA.

PARTICIPANTS

1355 daytime workers.

INTERVENTION

Participants were randomised to intervention (n=794) or control (n=561) on consent. Intervention participants received the SHAW educational programme at baseline plus access to the personalised dayzz app for up to 9 months. The control condition received the intervention at month 10.

PRIMARY AND SECONDARY OUTCOME MEASURES

Our primary outcome measures were sleep-related behavioural changes (eg, consistent sleep schedule); sleep behaviour tracked on an electronic sleep diary and sleep quality. Our secondary outcome measures included employee absenteeism, performance and productivity; stress, mood, alertness and energy; and adverse health and safety outcomes (eg, accidents).

RESULTS

At follow-up, employees in the intervention condition were more likely to report increased sleep duration on work (7.20 vs 6.99, p=0.01) and on free (8.26 vs 8.04, p=0.03) nights. At follow-up, the prevalence of poor sleep quality was lower in the intervention (n=160 of 321, 50%) compared with control (n=184 of 327, 56%) (p=0.04). The mean total dollars lost per person per month due to reduced workplace performance (presenteeism) was less in the intervention condition (US$1090 vs US$1321, p=0.001). Employees in the intervention reported fewer mental health visits (RR 0.72, 95% CI 0.56 to 0.94, p=0.01) and lower healthcare utilisation over the study interval (RR 0.81, 95% CI 0.67 to 0.98, p=0.03). We did not observe differences in stress (4.7 (95% CI 4.6 to 4.8) vs 4.7 (95% CI 4.6 to 4.8)), mood (4.5 (95% CI 4.4 to 4.6) vs 4.6 (95% CI 4.5 to 4.7)), alertness (4.9 (95% CI 4.8 to 5.0) vs 5.0 (95% CI 4.9 to 5.1)) or adverse health and safety outcomes (motor vehicle crashes: OR 0.82 (95% CI 0.34 to 1.9); near-miss crashes: OR=0.89 (95% CI 0.5 to 1.5) and injuries: 0.9 (95% CI 0.6 to 1.3)); energy was higher at follow-up in the intervention group (4.3 vs 4.5; p=0.03).

CONCLUSIONS

Results from this trial demonstrate that a SHAW programme followed by access to the digital dayzz app can be beneficial to both the employee and employer.

TRIAL REGISTRATION NUMBER

NCT04224285.

Effectiveness of a Self-Management Program to Improve Cognition and Quality of Life in Epilepsy: A Pragmatic, Randomized, Multicenter Trial

OBJECTIVE

To determine the effectiveness of HOBSCOTCH (Home-based self-management and cognitive training changes lives) in a real-world setting, and to assess feasibility of a virtual intervention, we conducted a multi-site, pragmatic replication trial at four New England epilepsy centers.

METHODS

HOBSCOTCH is an 8-session intervention addressing cognitive impairment and quality of life (QOL) for people with epilepsy (PWE). Participants were recruited from epilepsy centers in four states and block-randomized into the following groups: in-person HOBSCOTCH (H-IP), virtual HOBSCOTCH (H-V), and waitlist control. Outcome measures were assessed for all groups at baseline, 3-months, and 6-months; intervention groups received long-term follow-up at 9- and 12-months.

RESULTS

A total of 108 participants were recruited, of which 85 were included in this analysis (age at baseline 47.5 ± 11.5 years; 68% female). Participants completing the in-person intervention (H-IP) had a 12.4-point improvement in QOL score compared to controls (p < 0.001). Pairwise comparisons found a 6.2-point treatment effect for subjective cognition in the H-IP group (p < 0.001). There were no meaningful group differences in objective cognition or healthcare utilization at any timepoints, and the treatment effect for QOL diminished by 6-months. The virtual intervention demonstrated feasibility, but did not significantly improve outcomes compared to controls. Within-group analysis found improvements in QOL for both H-V and H-IP.

CONCLUSIONS

This study replicated the effectiveness of the HOBSCOTCH program in improving QOL for PWE. The study was conducted prior to the COVID-19 pandemic, but the distance-delivered intervention may be particularly well-suited for the current environment. Future research will explore modifications designed to improve the efficacy of H-V and the sustainability of HOBSCOTCH's treatment effect.

CLASSIFICATION OF EVIDENCE

This study provides Class III evidence that in-person HOBSCOTCH delivery improved subjective measures of cognition in persons with epilepsy.The study was registered and listed on ClinicalTrials.gov (NCT02394509).

Health preferences and preventive care utilisation: How EQ-5D-5L health preferences may affect uptake

Despite the economic and health benefits of preventive care being well established, the uptake of many cost-effective preventive services remains lower than desired in many cases, especially among specific sub-populations. The value an individual places on health can influence their uptake of preventive care. One way to capture the value an individual places on health and future health status is to examine their health preferences. This study used a novel use of EQ-5D-5L health preferences to determine if health preferences are associated with the uptake of a range of preventive care services, including a cancer screening, blood pressure check, cholesterol check, blood test and urine test. We collected EQ-5D-5L composite time trade-off data in 2018/2019 on 242 respondents residing in Ireland. We estimated an initial tobit model to predict an individual’s health preference to capture health preferences as a regressor. We then estimated a bivariate probit model to examine the uptake of each preventive service and GP use. Each model controlled for health preferences, education, sex, type of health coverage, self-reported health, employment status, age and marital status. Health preferences are a significant determinant of all five preventive services while controlling for other covariates. The results shows that the higher an individual values good health, the more likely they are to avail of preventive care. Health preferences can be noted as a potential determinant of preventive care use that could guide policy responses seeking to increase demand-side factors for preventive care uptake.

Evaluation of a Care Management Program for Pediatric Epilepsy Patients

OBJECTIVE

To evaluate the impact of a pediatric epilepsy care management intervention on emergency department visits, hospitalizations, and seizure freedom.

METHODS

We conducted a prospective observational study at a single academic medical center. Children with epilepsy with high risk of frequent emergency department use were enrolled in the intervention from January through May 2015, which included a baseline visit and follow-up support from a care management team. Controls selected from the same institution received standard of care. Baseline and follow-up information were collected from electronic health records and surveys (Family Impact Scale, Pediatric Epilepsy Medication Self-Management Questionnaire). Propensity score-weighted logistic regression compared emergency department visits, unplanned hospitalizations, and 3-month seizure freedom after 1 year in the intervention vs control groups.

RESULTS

A total of 56 children were enrolled in the intervention and 359 received standard of care. The intervention group was younger and had greater use of health services at baseline. When comparing the intervention to standard of care after 1 year, we found no significant difference in the risk of any emergency department visit (adjusted odds ratio [OR] 2.2, 95% confidence interval [CI] 0.6-8.5) or seizure freedom (adjusted OR 2.5, 95% CI 0.3-21.5). However, the risk of unplanned hospital admissions remained higher in the intervention group (adjusted OR 23.1, 95% CI 5.1-104).

CONCLUSION

We did not find that children with epilepsy who received a care management intervention had less use of health services or better clinical outcomes after a year compared with controls. The study is limited by small sample size and nonrandomized study design.

The Managing Epilepsy Well (MEW) network database: Lessons learned in refining and implementing an integrated data tool in service of a national U.S. Research Collaborative

Epilepsy self-management (ESM) is the summative set of behaviors that people with epilepsy use to cope with seizures and optimize health. This report describes the implementation and evolution of the Managing Epilepsy Well Network Database (MEW DB), an integrated data resource intended to advance knowledge on ESM. The MEW DB utilizes a three-tiered (Tier 1-3) system of data organization, with tiers of data generally increasing in ascending complexity or collection burden. A MEW DB Steering Committee (SC) establishes consensus on planned analyses using a standardized new analysis request template. The data management structure facilitates harmonization and integration of additional data, or to update the database as new data become available. The current MEW DB comprises 1,563 people with epilepsy. Mean age was 39.9 years, 64.9% women (N = 1006), 12.8% African American (N = 170), 22.2% Hispanic (N = 306). On average, individuals have lived with epilepsy since their early 20s and are prescribed between 1 and 2 antiepileptic drugs. The MEW DB spans multiple socio-ecological levels to provide a robust multi-tiered framework for studying ESM. A total of 41 common data elements have been identified through iterative consensus. This integrated database takes advantage of an extensive collective background of archival evidence in ESM and brings together engaged investigators to build a dataset that represents diverse types of individuals with epilepsy, targets health domains important to ESM, and facilitates analyses that would not be possible with sites operating independently. Overall, the MEW DB serves the greater mission of this research collaborative and has potential to advance ESM research.

The economic burden of caregiving in epilepsy: An estimate based on a survey of US caregivers

OBJECTIVE

The burden of caregiving for persons with epilepsy (PWEs) has not been examined previously in the United States. We assessed the clinical impact and direct and indirect economic costs for caregivers of PWEs.

METHODS

An internet survey of 500 caregivers of PWEs was conducted from May to July 2015 using a combination of validated instruments and questions designed specifically for this survey. Caregivers were stratified by PWE age (adult/child) and disease severity (low: 0 vs high: 1 + seizures in the prior month). Annual self-reported direct and indirect costs were reported per caregiver and extrapolated to all US caregivers. The economic burden of caregiving for PWEs was defined as the difference between costs for caregivers and the general population.

RESULTS

Caregivers reported that PWEs averaged 11.4 seizures in the prior month. Eighty percent of respondents were female and the average age was 44.3. Since becoming a caregiver, many reported anxiety (52.8%), depression (41.0%), and insomnia (30.8%). Annual mean direct medical costs for caregivers of children with low vs high seizure frequency were $4344 and $10 162, respectively. Costs for caregivers of adult PWEs were $4936 and $8518. Mean indirect costs associated with caregiving for a child with low vs high seizure frequency were $20 529 and $40 137; those for caregivers of an adult were $13 981 and $28 410. The cost estimates are higher vs the general US population; annual per-person healthcare utilization costs were $2740 and productivity loss costs were $5015. When extrapolating to the US population of PWE caregivers, annual costs exceeded $62 billion vs $14 billion for the general population, resulting in a caregiver burden of nearly $48 billion.

SIGNIFICANCE

The clinical and economic burden of caregivers for PWE were substantial, and greatest for those caring for children with frequent seizures. The impact on caregivers should be considered when estimating the value of interventions that control epilepsy.

Health Care Utilization Following Vagus Nerve Stimulation Therapy in Pediatric Epilepsy Patients From a Pediatric Accountable Care Organization

BACKGROUND

Vagus nerve stimulation has been a therapy for epilepsy approved by the US Food and Drug Administration (FDA) for patients 4 and older and shown efficacy and safety in younger pediatric patients.

METHODS

The authors performed a retrospective analysis utilizing Medicaid claims from an accountable care organization to measure the intervention of vagus nerve stimulation therapy in regard to unplanned health care utilization. Thirteen unique patients were included who had vagus nerve stimulation therapy who had at least 6 months of continuous enrollment in a managed Medicaid health plan. Comparison with 12 months of data before and after vagus nerve stimulation implantation was performed.

RESULTS

Patients had statistically significant fewer unplanned inpatient visits per patient per enrollment month after vagus nerve stimulation implantation.

CONCLUSION

Utilizing claims data, vagus nerve stimulation implantation demonstrates a reduction in unplanned hospitalizations.

Reduction of emergency department visits using an urgent clinic for children with established epilepsy

BACKGROUND

Emergency department (ED) visits and hospitalizations account for a large portion of the cost of care in people with established epilepsy. In an attempt to decrease seizure-related ED visits, we created an urgent epilepsy clinic (UEC) for children with epilepsy. Our aim was to decrease ED visits for patients seen in the clinic by 30% and decrease unplanned hospitalizations by 10% 3 months following an appointment.

METHODS

Children at risk for an ED visit or unplanned hospitalization were referred and seen by a nurse practitioner and social worker. Factors influencing the need for the appointment and actions taken were recorded. Cost savings were also calculated.

RESULTS

A total of 317 patients were seen in the UEC clinic from October 2013 to July 2015. Ninety-three percent of scheduled patients completed their appointment, compared to 84% in other neurology clinics. Eighty-three percent of patients were seen in the clinic within 5 days of the referral. Children were significantly less likely to come to the ED in the 3 months after an appointment compared to the 3 months before.

CONCLUSIONS

An urgent clinic for children with established epilepsy was associated with a reduction in ED visits for seizures and improved adherence to outpatient clinic appointments for seizures. Further research is needed to evaluate the cost-effectiveness of UECs, and to compare health services and clinical outcomes to those of children without access to such services.

Measuring Resource Utilization: A Systematic Review of Validated Self-Reported Questionnaires

A variety of methods may be used to obtain costing data. Although administrative data are most commonly used, the data available in these datasets are often limited. An alternative method of obtaining costing is through self-reported questionnaires. Currently, there are no systematic reviews that summarize self-reported resource utilization instruments from the published literature.The aim of the study was to identify validated self-report healthcare resource use instruments and to map their attributes.A systematic review was conducted. The search identified articles using terms like "healthcare utilization" and "questionnaire." All abstracts and full texts were considered in duplicate. For inclusion, studies had to assess the validity of a self-reported resource use questionnaire, to report original data, include adult populations, and the questionnaire had to be publically available. Data such as type of resource utilization assessed by each questionnaire, and validation findings were extracted from each study.In all, 2343 unique citations were retrieved; 2297 were excluded during abstract review. Forty-six studies were reviewed in full text, and 15 studies were included in this systematic review. Six assessed resource utilization of patients with chronic conditions; 5 assessed mental health service utilization; 3 assessed resource utilization by a general population; and 1 assessed utilization in older populations. The most frequently measured resources included visits to general practitioners and inpatient stays; nonmedical resources were least frequently measured. Self-reported questionnaires on resource utilization had good agreement with administrative data, although, visits to general practitioners, outpatient days, and nurse visits had poorer agreement.Self-reported questionnaires are a valid method of collecting data on healthcare resource utilization.

The humanistic and economic burden of juvenile idiopathic arthritis in the era of biologic medication

Juvenile idiopathic arthritis (JIA) is a poorly understood, heterogeneous, incurable, inflammatory syndrome. Long-term outcomes are uncertain, and this painful condition can result in lifelong disability. JIA is associated with considerable financial and humanistic burden for those affected and the healthcare system. Early diagnosis and effective treatment are indicated to optimise outcomes. Modern treatment aims to achieve remission and preserve joint function by using disease-modifying antirheumatic drugs (DMARDs) early. DMARDs can be classified as conventional/traditional or biologic. Biologic medications may be more effective but cost approximately ten times more than traditional DMARDs. Decision-makers in healthcare are increasingly comparing the cost and consequences of alternative treatment strategies to guide resource allocation decisions. There have been few economic evaluations to date to guide medicines optimisation in JIA. This systematic review highlights the lack of existing evidence relating to the humanistic and economic burden of JIA in the era of biologic medication.

Cost-effectiveness of collaborative care for depression in UK primary care: economic evaluation of a randomised controlled trial (CADET)

BACKGROUND

Collaborative care is an effective treatment for the management of depression but evidence on its cost-effectiveness in the UK is lacking.

AIMS

To assess the cost-effectiveness of collaborative care in a UK primary care setting.

METHODS

An economic evaluation alongside a multi-centre cluster randomised controlled trial comparing collaborative care with usual primary care for adults with depression (n = 581). Costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICER) were calculated over a 12-month follow-up, from the perspective of the UK National Health Service and Personal Social Services (i.e. Third Party Payer). Sensitivity analyses are reported, and uncertainty is presented using the cost-effectiveness acceptability curve (CEAC) and the cost-effectiveness plane.

RESULTS

The collaborative care intervention had a mean cost of £272.50 per participant. Health and social care service use, excluding collaborative care, indicated a similar profile of resource use between collaborative care and usual care participants. Collaborative care offered a mean incremental gain of 0.02 (95% CI: -0.02, 0.06) quality-adjusted life-years over 12 months, at a mean incremental cost of £270.72 (95% CI: -202.98, 886.04), and resulted in an estimated mean cost per QALY of £14,248. Where costs associated with informal care are considered in sensitivity analyses collaborative care is expected to be less costly and more effective, thereby dominating treatment as usual.

CONCLUSION

Collaborative care offers health gains at a relatively low cost, and is cost-effective compared with usual care against a decision-maker willingness to pay threshold of £20,000 per QALY gained. Results here support the commissioning of collaborative care in a UK primary care setting.