A novel approach for medical research on lymphomas: A study validation of claims-based algorithms to identify incident cases

Validity of claims-based algorithms for selected cancers in Japan: Results from the VALIDATE-J study

Purpose

Real‐world data from large administrative claims databases in Japan have recently become available, but limited evidence exists to support their validity. VALIDATE‐J validated claims‐based algorithms for selected cancers in Japan.

Methods

VALIDATE‐J was a multicenter, cross‐sectional, retrospective study. Disease‐identifying algorithms were used to identify cancers diagnosed between January or March 2012 and December 2016 using claims data from two hospitals in Japan. Positive predictive values (PPVs), specificity, and sensitivity were calculated for prevalent (regardless of baseline cancer‐free period) and incident (12‐month cancer‐free period; with claims and registry periods in the same month) cases, using hospital cancer registry data as gold standard.

Results

22 108 cancers were identified in the hospital claims databases. PPVs (number of registry cases) for prevalent/incident cases were: any malignancy 79.0% (25 934)/73.1% (18 119); colorectal 84.4% (3519)/65.6% (2340); gastric 87.4% (3534)/76.8% (2279); lung 88.1% (2066)/79.9% (1636); breast 86.4% (4959)/59.9% (3185); pancreatic 87.1% (582)/80.4% (508); melanoma 48.7% (46)/42.9% (36); and lymphoma 83.6% (1457)/77.8% (1035). Specificity ranged from 98.3% to 100% (prevalent)/99.5% to 100% (incident); sensitivity ranged from 39.1% to 67.6% (prevalent)/12.5% to 31.4% (incident). PPVs of claims‐based algorithms for several cancers in patients ≥66 years of age were slightly higher than those in a US Medicare population.

Conclusions

VALIDATE‐J demonstrated high specificity and modest‐to‐moderate sensitivity for claims‐based algorithms of most malignancies using Japanese claims data. Use of claims‐based algorithms will enable identification of patient populations from claims databases, while avoiding direct patient identification. Further research is needed to confirm the generalizability of our results and applicability to specific subgroups of patient populations.

The challenges of pharmacoepidemiology of orphan drugs in rare diseases

Large electronic health records database available at a national level offer great opportunity for research in rare diseases and orphan drugs. Methods and data used in pharmacoepidemiology present a great potential for epidemiology, drug utilization studies, drug safety, drug effectiveness and pharmacoeconomics. This review presents the different sources of data in Europe, with a special focus on the French situation, with the recent implementation of SNDS (système national des données de santé [French national health data wharehouse]). Some examples are given. Development of rigorous and innovative methods must be encouraged in the future.

Real-world costs of illness of Hodgkin and the main B-Cell Non-Hodgkin lymphomas in France

Background: Lymphomas are costly diseases that suffer from a lack of detailed economic information, notably in a real-world setting. Decision-makers are increasing the search for Real-World Evidence (RWE) to assess the impact, in real-life, of healthcare management and to support their public decisions. Thus, we aimed to assess the real-world net costs of the active treatment phases of adult Hodgkin Lymphoma (HL), Follicular Lymphoma (FL) and Diffuse Large B Cell Lymphoma (DLBCL).Methods: We performed a retrospective cohort study using population-based data from a national representative sample of the French population covered by the health insurance system. Cost analysis was performed from the French health insurance perspective and took into account direct and sick leave compensation costs (€2,018). Healthcare costs were studied over the active treatment phase. We used multivariate modeling to adjust cost differences between lymphoma subtypes.Results: Analyses were performed on 224 lymphoma patients and 896 controls. The mean additional monthly costs due to HL, FL and DLBCL patients were respectively €5,188, €3,242 and €7,659 for the active treatment phase. The main additional cost driver was principally inpatient stay (hospitalization costs and costly cancer-related drugs), followed by outpatient medication and productivity loss. When adjusted, DLBCL remains significantly the most costly lymphoma subtype.Conclusion: This study provides an accurate assessment of the main lymphoma subtypes related cost with high magnitude of details in a real-world setting. We underline where potential cost saving could be realized via the use of biosimilar medication, and where lymphoma management could be improved with the early management of adverse events.KEY POINTSThis is one of the first studies which assess the additional cost of lymphoma in Europe, according the main sub-types of lymphoma and with real-world database.The additional monthly cost due to HL, FL and DLBCL patients were respectively €5,188, €3,242 and €7,659 for the active treatment phase and the main additional cost driver was principally inpatient stay (i.e. hospitalization costs and additional inpatient medicines, notably rituximab), followed by outpatient medication and productivity loss.This study provides an accurate and detailed lymphoma subtype cost description and comparison which supply data for efficiency evaluations and will allow French health policy to improve lymphoma management.

Validating an algorithm for multiple myeloma based on administrative data using a SEER tumor registry and medical record review

PURPOSE

Large numbers of multiple myeloma patients can be studied in real-world clinical settings using administrative databases. The validity of these studies is contingent upon accurate case identification. Our objective was to develop and evaluate algorithms to use with administrative data to identify multiple myeloma cases.

METHODS

Patients aged ≥18 years with ≥1 International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code for multiple myeloma (203.0x) were identified at two study sites. At site 1, several algorithms were developed and validated by comparing results to tumor registry cases. An algorithm with a reasonable positive predictive value (PPV) (0.81) and sensitivity (0.73) was selected and then validated at site 2 where results were compared with medical chart data. The algorithm required that ICD-9-CM codes 203.0x occur before and after the diagnostic procedure codes for multiple myeloma.

RESULTS

At site 1, we identified 1432 patients. The PPVs of algorithms tested ranged from 0.54 to 0.88. Sensitivities ranged from 0.30 to 0.88. At site 2, a random sample (n = 400) was selected from 3866 patients, and medical charts were reviewed by a clinician for 105 patients. Algorithm PPV was 0.86 (95% CI, 0.79-0.92).

CONCLUSIONS

We identified cases of multiple myeloma with adequate validity for claims database analyses. At least two ICD-9-CM diagnosis codes 203.0x preceding diagnostic procedure codes for multiple myeloma followed by ICD-9-CM codes within a specific time window after diagnostic procedure codes were required to achieve reasonable algorithm performance.

Is there overuse of proton pump inhibitors in B-cell non-Hodgkin lymphomas? A cohort study based on the French health insurance database in the Midi-Pyrénées region

Patients suffering from B-cell non-Hodgkin lymphomas (B-NHL) have an increased likelihood of being exposed to proton pump inhibitors (PPIs), related to several factors which have been reported in the literature. PPIs are among the drugs most likely to be prescribed inappropriately. Consequently, B-NHL patients could be particularly at risk of inappropriate PPI prescription, with potential adverse drug reactions. We aimed to evaluate the incidence of PPIs use and to identify factors associated with PPIs initiation during the active treatment phase of B-NHL. We conducted a new-user cohort study using regional data from the French national health insurance database in the Midi-Pyrénées region (southwestern France). Incident B-NHL patients were selected according to an algorithm of selection, validated with data from a cancer registry. Our study revealed that 48.9% (95% confidence interval [CI]: 45.2-52.6) of patients initiated PPIs during chemotherapy after B-NHL diagnosis. According to information available in the SNDS, recommended indications for PPI prescriptions were identified in 21.1% of cases. Median duration of treatment was 65.3 days (CI: 35-112). Determinants of PPIs initiation were peptic ulcer disease, gastroprotection (appropriate or not) for medications considered at risk (NSAIDs, glucocorticoids and anticoagulants), age, nonfollicular lymphoma, polypharmacy, gastroenterologists' consultations and being hospitalized in a university hospital. Around 50% of patients initiated PPI treatment during the chemotherapy phase with only one-fifth identified as appropriate prescriptions and with long durations of treatment in most cases. Given this background, appropriate PPI prescription should be promoted in B-NHL to avoid potential inappropriate chronic use and related adverse events.