ArticleBMC health services research2012
Nation-scale adoption of new medicines by doctors: an application of the Bass diffusion model.
Article in BMC health services research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Adoption of new treatment options in non-systemic juvenile idiopathic arthritis (JIA) in clinical practice.Pediatric rheumatology online journal · 2025Article
- Antibody Kinetics of Immunological Memory in SARS-CoV-2-Vaccinated Healthcare Workers-The ORCHESTRA Project.Vaccines · 2025Article
- Pediatric-onset rare disease therapy pipeline yields hope for some and gaps for many: 10-year projection of approvals, treated patients, and list price revenues.Journal of managed care & specialty pharmacy · 2025Article
- The National Paediatric Applied Research Translation Initiative (N-PARTI): using implementation science to improve primary care for Australian children with asthma, type 1 diabetes, and infections.BMC health services research · 2025Article
- Applying a diffusion of innovations framework to characterise diffusion groups and more effectively reach late adopters: a cross-sectional study on COVID-19 vaccinations in Canada in late 2021.BMJ public health · 2025Article
- A flexible mixed-data model applied to claims data for post-market surveillance of prescription drug safety behavior.Pharmaceutical statistics · 2022Article
- Abuse-Deterrent Opioids: A Survey of Physician Beliefs, Behaviors, and Psychology.Pain and therapy · 2022Article
- Association of Healthcare Plan with atrial fibrillation prescription patterns.Clinical cardiology · 2018Article
- Barriers for Access to New Medicines: Searching for the Balance Between Rising Costs and Limited Budgets.Frontiers in public health · 2018Review
- Comparing Adoption of Breakthrough and "Me-too" Drugs among Medicare Beneficiaries: A Case Study of Dipeptidyl Peptidase-4 Inhibitors.Journal of pharmaceutical innovation · 2017Article
- The Contagion of Pneumonia in Older Persons: An Application of the Bass Diffusion Model.Gerontology & geriatric medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundThe adoption of new medicines is influenced by a complex set of social processes that have been widely examined in terms of individual prescribers' information-seeking and decision-making behaviour. However, quantitative, population-wide analyses of how long it takes for new healthcare practices to become part of mainstream practice are rare.
methodsWe applied a Bass diffusion model to monthly prescription volumes of 103 often-prescribed drugs in Australia (monthly time series data totalling 803 million prescriptions between 1992 and 2010), to determine the distribution of adoption rates. Our aim was to test the utility of applying the Bass diffusion model to national-scale prescribing volumes.
resultsThe Bass diffusion model was fitted to the adoption of a broad cross-section of drugs using national monthly prescription volumes from Australia (median R2 = 0.97, interquartile range 0.95 to 0.99). The median time to adoption was 8.2 years (IQR 4.9 to 12.1). The model distinguished two classes of prescribing patterns - those where adoption appeared to be driven mostly by external forces (19 drugs) and those driven mostly by social contagion (84 drugs). Those driven more prominently by internal forces were found to have shorter adoption times (p = 0.02 in a non-parametric analysis of variance by ranks).
conclusionThe Bass diffusion model may be used to retrospectively represent the patterns of adoption exhibited in prescription volumes in Australia, and distinguishes between adoption driven primarily by external forces such as regulation, or internal forces such as social contagion. The eight-year delay between the introduction of a new medicine and the adoption of the prescribing practice suggests the presence of system inertia in Australian prescribing practices.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.