ArticleEpidemiology and infection2012
Modelling interrupted time series to evaluate prevention and control of infection in healthcare.
Article in Epidemiology and infection, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04816318 (Policy Responses Against the COVID-19 Pandemic in Latin America), which is not on this map. Cited by 49 papers, 4 of them syntheses that pooled it.
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.
Policy Responses Against the COVID-19 Pandemic in Latin America: Interrupted Series Analyses of Local Governments
Who cites it
49 citing papers in PubMed, 4 syntheses or guidelines pooled it, 93 citations in OpenAlex.
- Comparison of statistical methods used to meta-analyse results from interrupted time series studies: an empirical study.BMC medical research methodology · 2024Pooled it
- Evaluation of statistical methods used to meta-analyse results from interrupted time series studies: A simulation study.Research synthesis methods · 2023Pooled it
- Effect estimates can be accurately calculated with data digitally extracted from interrupted time series graphs.Research synthesis methods · 2023Pooled it
- Control of Carbapenem-resistant Enterobacteriaceae, Acinetobacter baumannii, and Pseudomonas aeruginosa in Healthcare Facilities: A Systematic Review and Reanalysis of Quasi-experimental Studies.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019Pooled it
- Improving health care facility birth rates in Rorya District, Tanzania: a multiple baseline trial.BMC pregnancy and childbirth · 2022Trial
- A Prospective Multi-Center Implementation Study to Improve the Diagnosis and Treatment of Benign Paroxysmal Positional Vertigo.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026Article
- Effect of PDCA cycle on critical value management in primary healthcare institutions: an interrupted time series study.Frontiers in health services · 2026Article
- Impact of the LCBO strike on Ontario emergency department visits with an alcohol-related chief complaint: a natural experiment in alcohol policy.Frontiers in public health · 2026Article
- Spleen as an Alternative Tissue for Estimating Tetracapsuloides bryosalmonae Load, Prevalence and Its Relationship With Proliferative Kidney Disease in Brown Trout.Journal of fish diseases · 2026Article
- Impact of the Swedish Care Coordination Act on Heart Failure Readmissions and Length of Stay.Circulation. Heart failure · 2025Article
- Implementing bedside electronic transfusion checks at Barts Health NHS Trust: A study protocol for evaluating the effectiveness and value for money.Transfusion medicine (Oxford, England) · 2025Article
- Interpretation of coefficients in segmented regression for interrupted time series analyses.BMC medical research methodology · 2025Article
- Article
- Improving colonoscopy quality in the national VA healthcare system.Contemporary clinical trials · 2025Article
- Does health voucher intervention increase antenatal consultations and skilled birth attendances in Cameroon? Results from an interrupted time series analysis.BMC health services research · 2024Article
- Abortion Provision and Delays to Care in a Clinic Network in Washington State After Dobbs.JAMA network open · 2024Article
- The effect of psychiatric decision unit services on inpatient admissions and mental health presentations in emergency departments: an interrupted time series analysis from two cities and one rural area in England.Epidemiology and psychiatric sciences · 2024Article
- An Evaluation of the Impact of an OPEN Stewardship Generated Feedback Intervention on Antibiotic Prescribing among Primary Care Veterinarians in Canada and Israel.Animals : an open access journal from MDPI · 2024Article
- Coronavirus disease 2019 (COVID-19) vaccination rates and staffing shortages among healthcare personnel in nursing homes before, during, and after implementation of mandates for COVID-19 vaccination among 15 US jurisdictions, National Healthcare Safety Network, June 2021-January 2022.Infection control and hospital epidemiology · 2023Article
- Intervening on women's health for rural young breast cancer survivors: A study protocol.Contemporary clinical trials · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The most common methods for evaluating interventions to reduce the rate of new Staphylococcus aureus (MRSA) infections in hospitals use segmented regression or interrupted time-series analysis. We describe approaches to evaluating interventions introduced in different healthcare units at different times. We compare fitting a segmented Poisson regression in each hospital unit with pooling the individual estimates by inverse variance. An extension of this approach to accommodate potential heterogeneity allows estimates to be calculated from a single statistical model: a 'stacked' model. It can be used to ascertain whether transmission rates before the intervention have the same slope in all units, whether the immediate impact of the intervention is the same in all units, and whether transmission rates have the same slope after the intervention. The methods are illustrated by analyses of data from a study at a Veterans Affairs hospital. Both approaches yielded consistent results. Where feasible, a model adjusting for the unit effect should be fitted, or if there is heterogeneity, an analysis incorporating a random effect for units may be appropriate.
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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.