Real-world persistence and adherence with oral bisphosphonates for osteoporosis: a systematic review
Bibliographic record
Abstract
OBJECTIVES: This study examined patient adherence and persistence to oral bisphosphonates for the treatment of osteoporosis in real-world settings. METHODS: A systematic review was completed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Medical Literature Analysis and Retrieval System Online (MEDLINE), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Allied and Complementary Medicine Database (AMED), Database of Abstracts of Reviews of Effects (DARE), Health Technology Assessment (HTA) and National Health Service Economic Evaluation Database NHS EED) databases were searched for studies published in English language up to April 2018. Prospective and retrospective observational studies that used prescription claim databases or hospital medical records to examine patient adherence and persistence to oral bisphosphonate treatment among adults with osteoporosis were included. The Newcastle-Ottawa quality assessment scale (NOS) was used to assess the quality of included studies. RESULTS: The search yielded 540 published studies, of which 89 were deemed relevant and were included in this review. The mean age of patients included within the studies ranged between 53 to 80.8 years, and the follow-up varied from 3 months to 14 years. The mean persistence of oral bisphosphonates for 6 months, 1 year and 2 years ranged from 34.8% to 71.3%, 17.7% to 74.8% and 12.9% to 72.0%, respectively. The mean medication possession ratio ranged from 28.2% to 84.5%, 23% to 50%, 27.2% to 46% over 1 year, 2 years and 3 years, respectively. All studies included scored between 6 to 8 out of 9 on the NOS. The determinants of adherence and persistence to oral bisphosphonates included geographic residence, marital status, tobacco use, educational status, income, hospitalisation, medication type and dosing frequency. CONCLUSIONS: While a number of studies reported high levels of persistence and adherence, the findings of this review suggest that patient persistence and adherence with oral bisphosphonates medications was poor and reduced notably over time. Overall, adherence was suboptimal. To maximise adherence and persistence to oral bisphosphonates, it is important to consider possible determinants, including characteristics of the patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.010 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".