Transition From Pediatric To Adult Care Of High Cost Patients In a Medicaid Population With Sickle Cell Disease
Notice bibliographique
Résumé
Abstract Introduction Though healthcare costs associated with the management of sickle cell disease (SCD) can be high, costs are not evenly distributed both across patients and across age groups; a small fraction of SCD patients incur a large share of healthcare costs and costs tend to increase as patients transition from pediatric to adult care setting. The aim of this study was to identify high cost SCD patients (HCSPs) and analyze cost patterns throughout lifetime and as they transition from pediatric to adult care. Method State Medicaid data from FL (1998-2009), NJ (1996-2009), MO (1997-2010), IA (1998-2010), and KS (2001-2009) were used for this study. Patients with ≥2 SCD diagnoses (ICD-9 282.6x) and ≥1 blood transfusion were included in the analysis. Patients were followed for as long as they were enrolled in Medicaid. HCSPs were defined as the fraction of most expensive patients accounting for 50% of the total average yearly cost. The share of the average total yearly cost represented by HCSPs was analyzed by age group and by type of setting (inpatient [IP], outpatient [OP], emergency department [ED], and other). Understanding that periodic events associated with high costs are likely to be responsible for high total costs, high cost events (HCEs), defined as quarters with costs ≥$33,095, corresponding to the amount separating the top 5% most expensive quarters observed in the sample, were analyzed. A longitudinal logistic regression model was used to assess associations between HCEs and transition age (16-20 years old), transfusions, hydroxyurea use, and SCD complications (pain, stroke, leg ulcers, avascular necrosis, infections, as well as pulmonary, renal, and cardiovascular events). Other covariates included transfusions during the previous quarter, other relevant medications (e.g.: pain medication, diuretics, anticoagulants), comorbidities (e.g.: hypertension, myocardial infarction, liver disease), and, serving as proxies for overall health status, the frequency of OP, IP, and ED visits during the previous quarter. Results From the cohort of 3,208 SCD patients (FL: 1,550, NJ: 992, MO: 489, KS: 121, IA: 56) who were eligible, 449 (14%) accounted for 50% of the total average yearly cost and were classified as HCSPs. HCSPs were observed on average (standard deviation [SD]) 6.39 (3.30) years, compared to 6.57 (3.24) years for other patients (p=0.2697). The average (SD) yearly total costs of HCSPs was statistically significantly higher at $108,524 ($52,900) per year compared to $17,683 ($15,037) per year for other patients (p<.0001). The share of the total yearly costs of HCSPs increased from 34.4% to 46.3% between age groups 11-15 and 16-20, reaching its maximum at 65.2% in the 26-30 age group. Average (SD) yearly hospitalization costs were $56,669 ($67,287) for HCSPs aged 11-15, accounting for 61.9% of their average total yearly costs. Average (SD) hospitalization costs increased sharply in transitioning HCSPs to reach $81,918 ($87,919), representing 74.9% of their average total yearly costs. Accordingly, the frequency of HCEs increased by 122.6% in the transitioning group from 0.110 HCE/year among patients aged 11-15 to 0.244 HCE/year among patients aged 16-20. The regression analysis indicated that patients were more likely to have a HCE during the post-transition period (age group 16-20, odds ratio [OR]: 1.41, p=.0046; age group >20, OR: 1.62, p=.0024) and when experiencing an SCD complication (OR: 3.79, p<.0001). Blood transfusions received during the previous quarter were associated with a lower likelihood of HCEs (OR: 0.87, p=.0080). Conclusion In this sample of Medicaid patients with SCD, 14% of patients were responsible for 50% of total yearly healthcare costs. Inpatient services accounted for the largest share of costs and this share increased in parallel with the frequency of high cost events in patients transitioning from pediatric to adult care, consistent with the increasing rate of SCD-related complications and inpatient admissions during that period reported in previous studies. Directing appropriate and targeted interventions including prophylaxis blood transfusion when indicated can help assist providers improve outcomes and lower healthcare costs in this patient population. Disclosures: Blinder: Novartis Pharmaceuticals: Consultancy, Research Funding. Sasane:Novartis Pharmaceuticals: Employment. Fortier:Novartis Pharmaceuticals: Research Funding. Paley:Novartis Pharmaceuticals: Employment. Duh:Novartis Pharmaceuticals: Research Funding. Vekeman:Novartis Pharmaceuticals: Research Funding.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».