Adjusting for geographic variation in observational comparative effectiveness studies: a case study of antipsychotics using state Medicaid data

Association between maternal periodontal disease and adverse pregnancy outcomes: an analysis of claims data

BACKGROUND

While a number of studies have explored the link between periodontal disease and adverse pregnancy outcomes, both epidemiological studies and intervention trials have reached contradictory results with relatively small sample sizes. Utilizing large-scale claims data, we aim to investigate the association between maternal periodontal disease and adverse pregnancy outcomes.

OBJECTIVE

Utilizing large-scale claims data, we aim to investigate the association between maternal periodontal disease and adverse pregnancy outcomes.

METHODS

Using de-identified claims data from a national commercial insurer in the USA, records of all observed pregnancies from 2015 to 2019 were included in this retrospective cohort study. Adverse pregnancy outcomes, including low birthweight (LBW) of the newborn, preterm birth (PTB) and spontaneous abortion, were primary outcomes. To evaluate the association between periodontal disease and pregnancy outcomes, logistic mixed-effect model was estimated with periodontal disease status, age, existing clinical conditions of mothers and geographic location as covariates.

RESULTS

Out of 748 792 observed pregnancy records, 18.66% resulted in adverse pregnancy outcomes; 5.92% in LBW, 14.46% in PTB and 2.22 % in spontaneous abortion. Adjusting for individual-level risk factors, periodontal disease was significantly associated with maternal complications with odds ratios of 1.19 (95% CI:1.15, 1.24) for any adverse pregnancy outcomes, 1.10 (95% CI:1.03, 1.17) for LBW, 1.15 (95% CI:1.10, 1.19) for PTB and 1.34 (95% CI:1.23, 1.46) for spontaneous abortions.

CONCLUSIONS

Maternal periodontal disease may be associated with an increased risk of maternal complications and neonatal morbidity. A timely diagnosis and treatment of periodontal disease during pregnancy should be encouraged by considering oral health as part of routine prenatal care.

Are Publicly Funded Health Databases Geographically Detailed and Timely Enough to Support Patient-Centered Outcomes Research?

Emerging health care research paradigms such as comparative effectiveness research (CER), patient-centered outcome research (PCOR), and precision medicine (PM) share one ultimate goal: constructing evidence to provide the right treatment to the right patient at the right time. We argue that to succeed at this goal, it is crucial to have both timely access to individual-level data and fine geographic granularity in the data. Existing data will continue to be an important resource for observational studies as new data sources are developed. We examined widely used publicly funded health databases and population-based survey systems and found four ways they could be improved to better support the new research paradigms: (1) finer and more consistent geographic granularity, (2) more complete geographic coverage of the US population, (3) shorter time from data collection to data release, and (4) improved environments for restricted data access. We believe that existing data sources, if utilized optimally, and newly developed data infrastructures will both play a key role in expanding our insight into what treatments, at what time, work for each patient.

Antipsychotic Adherence and Rehospitalization in Schizophrenia Patients Receiving Oral Versus Long-Acting Injectable Antipsychotics Following Hospital Discharge

BACKGROUND

Antipsychotic medications are a central component of effective treatment for schizophrenia, but nonadherence is a significant problem for the majority of patients. Long-acting injectable (LAI) antipsychotic medications are a recommended treatment option for nonadherent patients, but evidence regarding their potential advantages has been mixed. Observational data on newer, second-generation LAI antipsychotic medications have been limited given their more recent regulatory approval and availability.

OBJECTIVE

To examine antipsychotic medication nonadherence, discontinuation, and rehospitalization outcomes in Medicaid patients receiving oral versus LAI antipsychotic medications in the 6 months after a schizophrenia-related hospitalization.

METHODS

The 2010-2013 Truven Health Analytics MarketScan Medicaid research claims database was used to identify adult patients with a recent history of nonadherence (prior 6 months) who received an oral or LAI antipsychotic medication within 30 days after an index schizophrenia-related hospitalization. Primary outcome measures were nonadherence (proportion of days covered less than  0.80), discontinuation (continuous medication gap ≥ 60 days), and schizophrenia-related rehospitalization, all in the 6 months after discharge. Descriptive analyses compared users of oral versus LAI antipsychotic medication on sociodemographic, clinical, and treatment characteristics. Logistic regressions were used to examine associations between use of oral versus LAI antipsychotics and each study outcome while controlling for observed differences in sample characteristics. All outcomes were compared at 3 levels of analysis: overall LAI class, LAI antipsychotic generation (first-generation [FGA] or second-generation [SGA] antipsychotics), and individual LAI agent (fluphenazine decanoate, haloperidol decanoate, risperidone LAI, and paliperidone palmitate).

RESULTS

Of the final sample, 91% (n = 3,428) received oral antipsychotics, and 9.0% (n = 340) received LAI antipsychotics after discharge. Slightly over half (n =183, 53.8%) of LAI users used an SGA LAI. A smaller percentage of patients receiving LAIs were nonadherent (51.8% vs. 67.7%, P  less than  0.001); had a 60-day continuous gap in medication (23.8% vs. 39.4%, P  less than  0.001); and were rehospitalized for schizophrenia (19.1% vs. 25.3%, P = 0.01) compared with patients receiving oral medications. The size of these differences was magnified when comparing SGA LAI users with users of oral antipsychotics for nonadherence. After controlling for all differences in measured covariates, LAI initiators had lower odds of being nonadherent (adjusted odds ratio [AOR] = 0.35, 95% CI = 0.27-0.46, P  less than  0.001) and of having continuous 60-day gaps (AOR = 0.45, 95% CI = 0.34-0.60, P  less than  0.001) when compared with patients receiving oral medications. Both FGA and SGA LAI users had lower odds of nonadherence compared with patients receiving oral antipsychotics. Similarly, FGA LAI users (AOR = 0.58, 95% CI = 0.40-0.85, P = 0.005) and SGA LAI initiators (AOR = 0.34, 95% CI =0.23-0.51, P  less than  0.001) had lower odds of a 60-day continuous gap compared with patients receiving oral antipsychotics. Compared with those receiving oral antipsychotics, LAI initiators also had lower odds of rehospitalization (AOR = 0.73, 95% CI = 0.54-0.99, P = 0.041); however, when examined separately, only patients receiving SGA LAIs (AOR = 0.59, 95% CI = 0.38-0.90, P = 0.015) and not FGA LAIs (AOR = 0.90, 95% CI = 0.60-1.34, P = 0.599) had a statistically significant reduction in odds of rehospitalization. Among individual LAIs, odds of rehospitalization only among initiators of paliperidone palmitate were statistically different from those among users of oral antipsychotics (AOR = 0.53, 95% CI = 0.30-0.94, P = 0.031). While odds of rehospitalization were 33% lower among patients receiving risperidone LAI compared with those receiving oral antipsychotics, the estimate did not reach statistical significance (AOR = 0.67, 95% CI = 0.37-1.22, P = 0.194). 

CONCLUSIONS

This claims-based analysis of posthospitalization adherence and rehospitalization outcomes in Medicaid patients with schizophrenia adds to the growing real-world evidence base of the benefits of LAI antipsychotic medications in routine clinical practice, particularly with regard to second-generation LAIs. As new SGA formulations become available for long-acting use, real-world studies with larger sample sizes will be needed to further delineate their potential advantages in terms of clinical outcomes and costs.