scholarly journals Impact of the introduction of falls risk assessment toolkit on falls prevention and psychotropic medicines’ utilisation in Walsall: an interrupted time series analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e039649
Author(s):  
Mohammed Ibrahim Aladul ◽  
Bharat Patel ◽  
Stephen Robert Chapman
Keyword(s):  
Risk Assessment ◽  
Primary Care ◽  
Time Series ◽  
Time Series Analysis ◽  
Interrupted Time Series ◽  
Psychotropic Medications ◽  
Medical Centre ◽  
Interrupted Time Series Analysis ◽  
Falls Risk ◽  
Psychotropic Medicines

ObjectiveTo determine the impact of the introduction of a falls risk assessment toolkit (FRAT) in a UK medical centre on the number and cost of non-elective admissions for falls and psychotropic medication utilisation.DesignInterrupted time series analysis quantifying the number and cost of non-elective admissions for falls and primary care use data for Rushall Medical Centre before and after the implementation of FRAT at July 2017.SettingData on the monthly number and cost of non-elective admissions for falls and number of referrals and assessment to the falls service were provided by Walsall Clinical Commissioning Group. Primary care prescribing cost and volume data for Rushall Medical Centre was derived from the Openprescribing.net website for prescriptions dispensed between April 2015 and November 2018.Primary and secondary outcome measuresThe number and cost of non-elective admissions for falls and number of referrals and assessment to the falls service, and the volume of utilisation of psychotropic medicines.ResultsFollowing the implementation of FRAT at Rushall Medical Centre in July 2017, the number of non-elective admissions for falls decreased at a rate of 0.414 admissions per month (p<0.033, 95% CI –0.796 to –0.032). The utilisation of psychotropic medications (alimemazine, citalopram, escitalopram, fluoxetine, mirtazapine, olanzapine and risperidone) decreased. The expenditure on psychotropic medications prescribed/used at Rushall Medical Centre decreased by at least £986 per month (p<0.001, 95% CI –2067 to –986).ConclusionsThe implementation of FRAT at Rushall Medical Centre was associated with a reduction in the number of non-elective admissions for falls. Assessment of these patients together with deprescribing of psychotropic medications resulted in a reduction in the number of non-elective admissions for falls and associated costs.

scholarly journals Community-based testing of migrants for infectious diseases (COMBAT-ID): impact, acceptability and cost-effectiveness of identifying infectious diseases among migrants in primary care: protocol for an interrupted time-series, qualitative and health economic analysis

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e029188 ◽  
Author(s):  
Manish Pareek ◽  
Helen C Eborall ◽  
Fatimah Wobi ◽  
Kate S Ellis ◽  
Evangelos Kontopantelis ◽  
...  
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Cost Effectiveness ◽  
Hepatitis C ◽  
Hepatitis B ◽  
Infectious Diseases ◽  
Time Series Analysis ◽  
Interrupted Time Series ◽  
Interrupted Time Series Analysis ◽  
Series Analysis

BackgroundMigration is a major global driver of population change. Certain migrants may be at increased risk of infectious diseases, including tuberculosis (TB), HIV, hepatitis B and hepatitis C, and have poorer outcomes. Early diagnosis and management of these infections can reduce morbidity, mortality and onward transmission and is supported by national guidelines. To date, screening initiatives have been sporadic and focused on individual diseases; systematic routine testing of migrant groups for multiple infections is rarely undertaken and its impact is unknown. We describe the protocol for the evaluation of acceptability, effectiveness and cost-effectiveness of an integrated approach to screening migrants for a range of infectious diseases in primary care.Methods and analysisWe will conduct a mixed-methods study which includes an observational cohort with interrupted time-series analysis before and after the introduction of routine screening of migrants for infectious diseases (latent TB, HIV, hepatitis B and hepatitis C) when first registering with primary care within Leicester, UK. We will assess trends in the monthly number and rate of testing and diagnosis for latent TB, HIV, hepatitis B and hepatitis C to determine the effect of the policy change using segmented regression analyses at monthly time-points. Concurrently, we will undertake an integrated qualitative sub-study to understand the views of migrants and healthcare professionals to the new testing policy in primary care. Finally, we will evaluate the cost-effectiveness of combined infection testing for migrants in primary care.Ethics and disseminationThe study has received HRA and NHS approvals for both the interrupted time-series analysis (16/SC/0127) and the qualitative sub-study (16/EM/0159). For the interrupted time-series analysis we will only use fully anonymised data. For the qualitative sub-study, we will gain written, informed, consent. Dissemination of the results will be through local and national meetings/conferences as well as publications in peer-reviewed journals.

scholarly journals Successful improvement of antibiotic prescribing at Primary Care in Andalusia following the implementation of an antimicrobial guide through multifaceted interventions: An interrupted time-series analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0233062
Author(s):  
Rocío Fernández-Urrusuno ◽  
Carmen Marina Meseguer Barros ◽  
Regina Sandra Benavente Cantalejo ◽  
Elena Hevia ◽  
Carmen Serrano Martino ◽  
...  
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Time Series Analysis ◽  
Interrupted Time Series ◽  
Antibiotic Prescribing ◽  
Interrupted Time Series Analysis ◽  
Series Analysis ◽  
Multifaceted Interventions

scholarly journals Effects of restrictive-prescribing stewardship on antibiotic consumption in primary care in China: an interrupted time series analysis, 2012–2017

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Xuemei Wang ◽  
Yuqing Tang ◽  
Chenxi Liu ◽  
Junjie Liu ◽  
Youwen Cui ◽  
...  
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Time Series Analysis ◽  
Interrupted Time Series ◽  
Antibiotic Use ◽  
Antibiotic Consumption ◽  
Downward Trend ◽  
Fourth Generation ◽  
Interrupted Time Series Analysis ◽  
Trend Coefficient

Abstract Background The overuse of antibiotics has been a major public health problem worldwide, especially in low- and middle- income countries (LMIC). However, there are few policies specific to antibiotic stewardship in primary care and their effectiveness are still unclear. A restrictive-prescribing stewardship targeting antibiotic use in primary care has been implemented since December 2014 in Hubei Province, China. This study aimed to evaluate the effects of the restrictive-prescribing stewardship on antibiotic consumption in primary care so as to provide evidence-based suggestions for prudent use of antibiotics. Methods Monthly antibiotic consumption data were extracted from Hubei Medical Procurement Administrative Agency (HMPA) system from Sept 1, 2012, to Aug 31, 2017. Quality Indictors of European Surveillance of Antimicrobial Consumption (ESAC QIs) combined with Anatomical Therapeutic Chemical (ATC) classification codes and DDD per 1000 inhabitants per day (DID) methodology were applied to measure antibiotic consumption. An interrupted time series analysis was performed to evaluate the effects of restrictive-prescribing stewardship on antibiotic consumption. Results Over the entire study period, a significant reduction (32.58% decrease) was observed in total antibiotic consumption, which declined immediately after intervention (coefficient = − 2.4518, P = 0.005) and showed a downward trend (coefficient = − 0.1193, P = 0.017). Specifically, the use of penicillins, cephalosporins and macrolides/lincosamides/streptogramins showed declined trends after intervention (coefficient = − 0.0553, P = 0.035; coefficient = − 0.0294, P = 0.037; coefficient = − 0.0182, P = 0.003, respectively). An immediate decline was also found in the contribution of β-lactamase-sensitive penicillins to total antibiotic use (coefficient = − 2.9126, P = 0.001). However, an immediate increase in the contribution of third and fourth-generation cephalosporins (coefficient = 5.0352, P = 0.005) and an ascending trend in the contribution of fluoroquinolones (coefficient = 0.0406, P = 0.037) were observed after intervention. The stewardship led to an immediate increase in the ratio between broad- and narrow-spectrum antibiotic use (coefficient = 1.8747, P = 0.001) though they both had a significant downward trend (coefficient = − 0.0423, P = 0.017; coefficient = − 0.0223, P = 0.006, respectively). An immediate decline (coefficient = − 1.9292, P = 0.002) and a downward trend (coefficient = − 0.0815, P = 0.018) were also found in the oral antibiotic use after intervention, but no significant changes were observed in the parenteral antibiotic use. Conclusions Restrictive-prescribing stewardship in primary care was effective in reducing total antibiotic consumption, especially the use of penicillins, cephalosporins and macrolides/lincosamides/streptogramins. However, the intervention effects were limited regarding the use of combinations of penicillins with ß-lactamase inhibitors, the third and fourth-generation cephalosporins, fluoroquinolones and parenteral antibiotics. Stronger administrative regulations focusing on specific targeted antibiotics, especially the use of broad-spectrum antibiotics and parenteral antibiotics, are in urgent need in the future.

scholarly journals Mental health impacts of flooding: a controlled interrupted time series analysis of prescribing data in England

2017 ◽  
Vol 71 (10) ◽  
pp. 970-973 ◽  
Author(s):  
Ai Milojevic ◽  
Ben Armstrong ◽  
Paul Wilkinson
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Time Series Analysis ◽  
Antidepressant Drugs ◽  
Interrupted Time Series ◽  
Well Being ◽  
Interrupted Time Series Analysis ◽  
Series Analysis ◽  
Care Practices ◽  
Primary Care Practices

BackgroundThere is emerging evidence that people affected by flooding suffer adverse impacts on their mental well-being, mostly based on self-reports.MethodsWe examined prescription records for drugs used in the management of common mental disorder among primary care practices located in the vicinity of recent large flood events in England, 2011–2014. A controlled interrupted time series analysis was conducted of the number of prescribing items for antidepressant drugs in the year before and after the flood onset. Pre–post changes were compared by distance of the practice from the inundated boundaries among 930 practices located within 10 km of a flood.ResultsAfter control for deprivation and population density, there was an increase of 0.59% (95% CI 0.24 to 0.94) prescriptions in the postflood year among practices located within 1 km of a flood over and above the change observed in the furthest distance band. The increase was greater in more deprived areas.ConclusionsThis study suggests an increase in prescribed antidepressant drugs in the year after flooding in primary care practices close to recent major floods in England. The degree to which the increase is actually concentrated in those flooded can only be determined by more detailed linkage studies.

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