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Record W2603711939 · doi:10.2147/ppa.s127623

Treatment patterns in Medicaid patients with schizophrenia initiated on a first- or second-generation long-acting injectable versus oral antipsychotic

2017· article· en· W2603711939 on OpenAlexaff
Kruti Joshi, Neeta Tandon, Marie‐Hélène Lafeuille, Rhiannon Kamstra, Bruno Émond, Patrick Lefèbvre

Bibliographic record

VenuePatient Preference and Adherence · 2017
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsGroup for Research in Decision Analysis
FundersJanssen Scientific Affairs
KeywordsMedicineAntipsychoticInternal medicineOdds ratioMedicaidSchizophrenia (object-oriented programming)PolypharmacyPsychiatry

Abstract

fetched live from OpenAlex

Background: Poor antipsychotic (AP) adherence is a key issue in patients with schizophrenia. First-generation antipsychotic (FGA) and second-generation antipsychotic (SGA) long-acting injectable therapies (LAI) may improve adherence compared to oral antipsychotics (OAP). The objective of the study was to compare treatment adherence and persistence in Medicaid patients with schizophrenia initiated on first-generation long-acting injectable therapies (FGA-LAI) or second-generation long-acting injectable therapies (SGA-LAI) versus OAP. Methods: Adults with schizophrenia initiated on FGA-LAI, SGA-LAI, or OAP on or after January 2010 were identified using a six-state Medicaid database (January 2009– March 2015). Outcomes were assessed during the 12 months following treatment initiation. Index medication adherence was assessed using the proportion of days covered ≥80%, while persistence was assessed as no gap of ≥30, ≥60, or ≥90 days between days of supply. Outcomes were compared between FGA/SGA-LAI and OAP cohorts using chi-squared tests and adjusted odds ratios (OR). Results: During follow-up, AP polypharmacy was more common in FGA-LAI patients (N=1,089; 36%; P =0.029) and less common in SGA-LAI patients (N=2,209; 27%; P <0.001) versus OAP patients (N=20,478; 33%). After adjustment, SGA-LAI patients had 24% higher odds of adherence at 12 months (OR: 1.24; P <0.001), in contrast to FGA-LAI patients who had 48% lower odds of adherence (OR: 0.52; P <0.001) relative to OAP patients. SGA-LAI patients were more likely to be persistent (no gap ≥60 days) at 12 months than OAP patients (37% vs 30%; P <0.001), but not FGA-LAI patients (31% vs 30%; P =0.776). In comparison to OAP patients, SGA-LAI patients had 46% higher adjusted odds of persistence (no gap ≥60 days; OR: 1.46; P <0.001), while FGA-LAI patients were not significantly different (OR: 0.95; P =0.501). Conclusion: Medicaid patients initiated on SGA-LAI demonstrated better treatment adherence and persistence compared to OAP patients, while those initiated on FGA-LAI did not show significant improvement in adherence or persistence and had more AP polypharmacy relative to OAP patients. These findings suggest the potential value of SGA-LAI in the treatment of schizophrenia. Keywords: schizophrenia, long-acting injectable therapy, adherence, persistence, first generation, second generation

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.161
GPT teacher head0.342
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations49
Published2017
Admission routes1
Has abstractyes

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