1
|
Blair PS, Young GJ, Clement C, Dixon P, Seume P, Ingram J, Taylor J, Horwood J, Lucas PJ, Cabral C, Francis NA, Beech E, Gulliford M, Creavin S, Lane JA, Bevan S, Hay AD. A multifaceted intervention to reduce antibiotic prescribing among CHIldren with acute COugh and respiratory tract infection: the CHICO cluster RCT. Health Technol Assess 2023; 27:1-110. [PMID: 38204218 PMCID: PMC11017154 DOI: 10.3310/ucth3411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024] Open
Abstract
Background Clinical uncertainty in primary care regarding the prognosis of children with respiratory tract infections contributes to the unnecessary use of antibiotics. Improved identification of children at low risk of future hospitalisation might reduce clinical uncertainty. A National Institute for Health and Care Research-funded 5-year programme (RP-PG-0608-10018) was used to develop and feasibility test an intervention. Objectives The aim of the children with acute cough randomised controlled trial was to reduce antibiotic prescribing among children presenting with acute cough and respiratory tract infection without increasing hospital admission. Design An efficient, pragmatic open-label, two-arm trial (with embedded qualitative and health economic analyses) using practice-level randomisation using routinely collected data as the primary outcome. Setting General practitioner practices in England. Participants General practitioner practices using the Egton Medical Information Systems® patient-record system for children aged 0-9 years presenting with a cough or upper respiratory tract infection. Recruited by Clinical Research Networks and Clinical Commissioning Groups. Intervention Comprised: (1) elicitation of parental concerns during consultation; (2) a clinician-focused prognostic algorithm to identify children with acute cough and respiratory tract infection at low, average or elevated risk of hospitalisation in the next 30 days accompanied by prescribing guidance, (3) provision of a printout for carers including safety-netting advice. Main outcome measures Co-primaries using the practice list-size for children aged 0-9 years as the denominator: rate of dispensed amoxicillin and macrolide items at each practice (superiority comparison) from NHS Business Services Authority ePACT2 and rate of hospital admission for respiratory tract infection (non-inferiority comparison) from Clinical Commissioning Groups, both routinely collected over 12 months. Results Of the 310 practices required, 294 (95%) were recruited (144 intervention and 150 controls) with 336,496 registered 0-9-year-olds (5% of all 0-9-year-old children in England) from 47 Clinical Commissioning Groups. Included practices were slightly larger than those not included, had slightly lower baseline dispensing rates and were located in more deprived areas (reflecting the distribution for practice postcodes nationally). Twelve practices (4%) subsequently withdrew (six related to the pandemic). The median number of times the intervention was used was 70 per practice (by a median of 9 clinicians) over 12 months. There was no evidence that the antibiotic dispensing rate in the intervention practices [0.155 (95% confidence interval 0.135 to 0.179)] differed to controls [0.154 (95% confidence interval 0.130 to 0.182), relative risk= 1.011 (95% confidence interval 0.992 to 1.029); p = 0.253]. There was, overall, a reduction in dispensing levels and intervention usage during the pandemic. The rate of hospitalisation for respiratory tract infection in the intervention practices [0.019 (95% confidence interval 0.014 to 0.026)] compared to the controls [0.021 (95% confidence interval 0.014 to 0.029)] was non-inferior [relative risk = 0.952 (95% confidence interval 0.905 to 1.003)]. The qualitative evaluation found the clinicians liked the intervention, used it as a supportive aid, especially with borderline cases but that it, did not always integrate well within the consultation flow and was used less over time. The economic evaluation found no evidence of a difference in mean National Health Service costs between arms; mean difference -£1999 (95% confidence interval -£6627 to 2630). Conclusions The intervention was feasible and subjectively useful to practitioners, with no evidence of harm in terms of hospitalisations, but did not impact on antibiotic prescribing rates. Future work and limitations Although the intervention does not appear to change prescribing behaviour, elements of the approach may be used in the design of future interventions. Trial registration This trial is registered as ISRCTN11405239 (date assigned 20 April 2018) at www.controlled-trials.com (accessed 5 September 2022). Version 4.0 of the protocol is available at: https://www.journalslibrary.nihr.ac.uk/ (accessed 5 September 2022). Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment (NIHR award ref: 16/31/98) programme and is published in full in Health Technology Assessment; Vol. 27, No. 32. See the NIHR Funding and Awards website for further award information.
Collapse
Affiliation(s)
- Peter S Blair
- Centre for Academic Child Health, University of Bristol, Bristol Medical School, Bristol, UK
| | - Grace J Young
- Bristol Trials Centre (Bristol Randomised Trials Collaboration), Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
| | - Clare Clement
- Bristol Trials Centre (Bristol Randomised Trials Collaboration), Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
| | - Padraig Dixon
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care Building, Oxford, UK
| | - Penny Seume
- Centre for Academic Primary Care, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Jenny Ingram
- Centre for Academic Child Health, University of Bristol, Bristol Medical School, Bristol, UK
| | - Jodi Taylor
- Bristol Trials Centre (Bristol Randomised Trials Collaboration), Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
| | - Jeremy Horwood
- Centre for Academic Primary Care, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | | | - Christie Cabral
- Centre for Academic Primary Care, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Nick A Francis
- Primary Care and Population Sciences, University of Southampton, Aldermoor Health Centre, Southampton, UK
| | | | - Martin Gulliford
- School of Population Health and Environmental Sciences, King's College London, London, UK
| | - Sam Creavin
- Centre for Academic Primary Care, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Janet A Lane
- Bristol Trials Centre (Bristol Randomised Trials Collaboration), Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
| | - Scott Bevan
- Bristol Trials Centre (Bristol Randomised Trials Collaboration), Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
| | - Alastair D Hay
- Centre for Academic Primary Care, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| |
Collapse
|
2
|
Mayerhofer E, Zaba NO, Parodi L, Ganbold AS, Biffi A, Rosand J, Yechoor N, Anderson CD. Disparities in brain health comorbidity management in intracerebral hemorrhage. Front Neurol 2023; 14:1194810. [PMID: 37360335 PMCID: PMC10285101 DOI: 10.3389/fneur.2023.1194810] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 05/24/2023] [Indexed: 06/28/2023] Open
Abstract
Background Intracerebral hemorrhage (ICH) disproportionally affects underserved populations, and coincides with risk factors for cardiovascular events and cognitive decline after ICH. We investigated associations between social determinants of health and management of blood pressure (BP), hyperlipidemia, diabetes, obstructive sleep apnea (OSA), and hearing impairment before and after ICH hospitalization. Methods Survivors of the Massachusetts General Hospital longitudinal ICH study between 2016 and 2019 who received healthcare at least 6 months after ICH were analyzed. Measurements of BP, LDL and HbA1c and their management in the year surrounding ICH and referrals for sleep studies and audiology up to 6 months after ICH were gathered from electronic health records. The US-wide area deprivation index (ADI) was used as proxy for social determinants of health. Results The study included 234 patients (mean 71 years, 42% female). BP measurements were performed in 109 (47%) before ICH, LDL measurements were performed in 165 (71%), and HbA1c measurements in 154 (66%) patients before or after ICH. 27/59 (46%) with off-target LDL and 3/12 (25%) with off-target HbA1c were managed appropriately. Of those without history of OSA or hearing impairment before ICH, 47/207 (23%) were referred for sleep studies and 16/212 (8%) to audiology. Higher ADI was associated with lower odds of BP, LDL, and HbA1c measurement prior to ICH [OR 0.94 (0.90-0.99), 0.96 (0.93-0.99), and 0.96 (0.93-0.99), respectively, per decile] but not with management during or after hospitalization. Conclusion Social determinants of health are associated with pre-ICH management of cerebrovascular risk factors. More than 25% of patients were not assessed for hyperlipidemia and diabetes in the year surrounding ICH hospitalization, and less than half of those with off-target values received treatment intensification. Few patients were evaluated for OSA and hearing impairment, both common among ICH survivors. Future trials should evaluate whether using the ICH hospitalization to systematically address co-morbidities can improve long-term outcomes.
Collapse
Affiliation(s)
- Ernst Mayerhofer
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, United States
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Natalie O. Zaba
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, United States
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Livia Parodi
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, United States
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Massachusetts Institute of Technology, Cambridge, MA, United States
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, United States
| | - Alena S. Ganbold
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, United States
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Alessandro Biffi
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, United States
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, United States
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Nirupama Yechoor
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, United States
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Christopher D. Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, United States
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Massachusetts Institute of Technology, Cambridge, MA, United States
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, United States
| |
Collapse
|
3
|
Vellinga A, Luke-Currier A, Garzón-Orjuela N, Aabenhus R, Anastasaki M, Balan A, Böhmer F, Lang VB, Chlabicz S, Coenen S, García-Sangenís A, Kowalczyk A, Malania L, Tomacinschii A, van der Linde SR, Bongard E, Butler CC, Goossens H, van der Velden AW. Disease-Specific Quality Indicators for Outpatient Antibiotic Prescribing for Respiratory Infections (ESAC Quality Indicators) Applied to Point Prevalence Audit Surveys in General Practices in 13 European Countries. Antibiotics (Basel) 2023; 12:antibiotics12030572. [PMID: 36978439 PMCID: PMC10044809 DOI: 10.3390/antibiotics12030572] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 02/23/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Up to 80% of antibiotics are prescribed in the community. An assessment of prescribing by indication will help to identify areas where improvement can be made. A point prevalence audit study (PPAS) of consecutive respiratory tract infection (RTI) consultations in general practices in 13 European countries was conducted in January–February 2020 (PPAS-1) and again in 2022 (PPAS-4). The European Surveillance of Antibiotic Consumption quality indicators (ESAC-QI) were calculated to identify where improvements can be made. A total of 3618 consultations were recorded for PPAS-1 and 2655 in PPAS-4. Bacterial aetiology was suspected in 26% (PPAS-1) and 12% (PPAS-4), and an antibiotic was prescribed in 30% (PPAS-1) and 16% (PPAS-4) of consultations. The percentage of adult patients with bronchitis who receive an antibiotic should, according to the ESAC-QI, not exceed 30%, which was not met by participating practices in any country except Denmark and Spain. For patients (≥1) with acute upper RTI, less than 20% should be prescribed an antibiotic, which was achieved by general practices in most countries, except Ireland (both PPAS), Croatia (PPAS-1), and Greece (PPAS-4) where prescribing for acute or chronic sinusitis (0–20%) was also exceeded. For pneumonia in adults, prescribing is acceptable for 90–100%, and this is lower in most countries. Prescribing for tonsillitis (≥1) exceeded the ESAC-QI (0–20%) in all countries and was 69% (PPAS-1) and 75% (PPAS-4). In conclusion, ESAC-QI applied to PPAS outcomes allows us to evaluate appropriate antibiotic prescribing by indication and benchmark general practices and countries.
Collapse
Affiliation(s)
- Akke Vellinga
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
- Correspondence:
| | - Addiena Luke-Currier
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Nathaly Garzón-Orjuela
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Rune Aabenhus
- Research Unit for General Practice, Department of Public Health, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - Marilena Anastasaki
- Department of Social Medicine, School of Medicine, University of Crete, 71003 Heraklion, Greece
| | - Anca Balan
- Balan Medfam Srl, 400064 Cluj Napoca, Romania
| | - Femke Böhmer
- Institute of General Practice, Rostock University Medical Center, 18057 Rostock, Germany
| | - Valerija Bralić Lang
- Department of Family Medicine, “Andrija Stampar” School of Public Health, School of Medicine, University of Zagreb, 10020 Zagreb, Croatia
| | - Slawomir Chlabicz
- Department of Family Medicine, Medical University of Bialystok, 15-089 Bialystok, Poland
| | - Samuel Coenen
- Department of Family Medicine & Population Health, University of Antwerp, 2610 Antwerp, Belgium
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, University of Antwerp, 2610 Antwerp, Belgium
| | - Ana García-Sangenís
- Institut Universitari d’Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), 08007 Barcelona, Spain
- Centro de investigación Biomédica en Red Enfermedades Infecciosas (CIBERINFEC), 28029 Madrid, Spain
| | - Anna Kowalczyk
- Centre for Family and Community Medicine, Faculty of Health Sciences, Medical University of Lodz, 92-213 Lodz, Poland
| | - Lile Malania
- National Center for Disease Control and Public Health, Tbilisi and Arner Science Management LLC, 0190 Tbilisi, Georgia
| | - Angela Tomacinschii
- University Clinic of Primary Medical Assistance, State University of Medicine and Pharmacy “Nicolae Testemițanu”, MD-2004 Chişinǎu, Moldova
| | - Sanne R. van der Linde
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands
| | - Emily Bongard
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX1 4BH, UK
| | - Christopher C. Butler
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX1 4BH, UK
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, University of Antwerp, 2610 Antwerp, Belgium
| | - Alike W. van der Velden
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands
| |
Collapse
|
4
|
Elvers KT, Wilson VJ, Hammond A, Duncan L, Huntley AL, Hay AD, van der Werf ET. Antibiotic-induced changes in the human gut microbiota for the most commonly prescribed antibiotics in primary care in the UK: a systematic review. BMJ Open 2020; 10:e035677. [PMID: 32958481 PMCID: PMC7507860 DOI: 10.1136/bmjopen-2019-035677] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE The gut microbiota influences many aspects of human health. We investigated the magnitude and duration of changes in gut microbiota in response to antibiotics commonly prescribed in UK primary care. METHODS We searched MEDLINE, EMBASE and AMED, all years up to May 2020 including all study designs, collecting and analysing data on the effect of antibiotics prescribed for respiratory and urinary tract infections. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Cochrane standard methods. Risk of bias was evaluated using the Critical Appraisal Skills Programme. Narrative synthesis was used to report the themes emerging from the data. MAIN OUTCOME MEASURES Primary outcomes were antibiotic-induced changes in the composition and/or diversity of the gut microbiota. Secondary outcome was the time for the microbiota to return to baseline. RESULTS Thirty-one articles with low or unclear risk of bias showed that antibiotics impact the gut microbiota by causing rapid and diminished levels of bacterial diversity and changes in relative abundances. After cessation of treatment, gut bacteria recover, in most individuals, to their baseline state within a few weeks. Some studies suggested longer term effects from 2 to 6 months. Considerable heterogeneity in methodology makes the studies prone to biases and other confounding factors. Doxycycline was associated with a marked short-term decrease in Bifidobacterium diversity. Clarithromycin decreased the populations of Enterobacteria, and the anaerobic bacteria Bifidobacterium sp and Lactobacillus sp in numbers and diversity for up to 5 weeks. Phenoxymethylpenicillin, nitrofurantoin and amoxicillin had very little effect on the gut microbiome. CONCLUSIONS Despite substantial heterogeneity of the studies and small sample sizes, there is evidence that antibiotics commonly used in primary care influence the composition of the gastrointestinal microbiota. Larger population-based studies are needed to fully understand how antibiotics modulate the microbiota, and to determine if these are associated with (longer term) health consequences. PROSPERO REGISTRATION NUMBER CRD42017073750.
Collapse
Affiliation(s)
- Karen T Elvers
- Centre for Academic Primare Care & NIHR Health Protection Research Unit in Behavioural Science and Evaluation, Bristol Medical School, University of Bristol, Bristol, UK
| | - Victoria J Wilson
- Centre of Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ashley Hammond
- Centre of Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lorna Duncan
- Centre of Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, UK
| | - Alyson L Huntley
- Centre of Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, UK
| | - Alastair D Hay
- Centre of Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, UK
| | - Esther T van der Werf
- Centre of Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, UK
- Department of Integrative Medicine, Louis Bolk Institute, Bunnik, The Netherlands
| |
Collapse
|
5
|
Gulliford MC, Juszczyk D, Prevost AT, Soames J, McDermott L, Sultana K, Wright M, Fox R, Hay AD, Little P, Moore M, Yardley L, Ashworth M, Charlton J. Electronically delivered interventions to reduce antibiotic prescribing for respiratory infections in primary care: cluster RCT using electronic health records and cohort study. Health Technol Assess 2020; 23:1-70. [PMID: 30900550 DOI: 10.3310/hta23110] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Unnecessary prescribing of antibiotics in primary care is contributing to the emergence of antimicrobial drug resistance. OBJECTIVES To develop and evaluate a multicomponent intervention for antimicrobial stewardship in primary care, and to evaluate the safety of reducing antibiotic prescribing for self-limiting respiratory infections (RTIs). INTERVENTIONS A multicomponent intervention, developed as part of this study, including a webinar, monthly reports of general practice-specific data for antibiotic prescribing and decision support tools to inform appropriate antibiotic prescribing. DESIGN A parallel-group, cluster randomised controlled trial. SETTING The trial was conducted in 79 general practices in the UK Clinical Practice Research Datalink (CPRD). PARTICIPANTS All registered patients were included. MAIN OUTCOME MEASURES The primary outcome was the rate of antibiotic prescriptions for self-limiting RTIs over the 12-month intervention period. COHORT STUDY A separate population-based cohort study was conducted in 610 CPRD general practices that were not exposed to the trial interventions. Data were analysed to evaluate safety outcomes for registered patients with 45.5 million person-years of follow-up from 2005 to 2014. RESULTS There were 41 intervention trial arm practices (323,155 patient-years) and 38 control trial arm practices (259,520 patient-years). There were 98.7 antibiotic prescriptions for RTIs per 1000 patient-years in the intervention trial arm (31,907 antibiotic prescriptions) and 107.6 per 1000 patient-years in the control arm (27,923 antibiotic prescriptions) [adjusted antibiotic-prescribing rate ratio (RR) 0.88, 95% confidence interval (CI) 0.78 to 0.99; p = 0.040]. There was no evidence of effect in children aged < 15 years (RR 0.96, 95% CI 0.82 to 1.12) or adults aged ≥ 85 years (RR 0.97, 95% CI 0.79 to 1.18). Antibiotic prescribing was reduced in adults aged between 15 and 84 years (RR 0.84, 95% CI 0.75 to 0.95), that is, one antibiotic prescription was avoided for every 62 patients (95% CI 40 to 200 patients) aged 15-84 years per year. Analysis of trial data for 12 safety outcomes, including pneumonia and peritonsillar abscess, showed no evidence that these outcomes might be increased as a result of the intervention. The analysis of data from non-trial practices showed that if a general practice with an average list size of 7000 patients reduces the proportion of RTI consultations with antibiotics prescribed by 10%, then 1.1 (95% CI 0.6 to 1.5) more cases of pneumonia per year and 0.9 (95% CI 0.5 to 1.3) more cases of peritonsillar abscesses per decade may be observed. There was no evidence that mastoiditis, empyema, meningitis, intracranial abscess or Lemierre syndrome were more frequent at low-prescribing practices. LIMITATIONS The research was based on electronic health records that may not always provide complete data. The number of practices included in the trial was smaller than initially intended. CONCLUSIONS This study found evidence that, overall, general practice antibiotic prescribing for RTIs was reduced by this electronically delivered intervention. Antibiotic prescribing rates were reduced for adults aged 15-84 years, but not for children or the senior elderly. FUTURE WORK Strategies for antimicrobial stewardship should employ stratified interventions that are tailored to specific age groups. Further research into the safety of reduced antibiotic prescribing is also needed. TRIAL REGISTRATION Current Controlled Trials ISRCTN95232781. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 23, No. 11. See the NIHR Journals Library website for further project information.
Collapse
Affiliation(s)
- Martin C Gulliford
- School of Population Health and Environmental Sciences, King's College London, London, UK.,NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Dorota Juszczyk
- School of Population Health and Environmental Sciences, King's College London, London, UK.,NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - A Toby Prevost
- School of Population Health and Environmental Sciences, King's College London, London, UK.,NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK.,School of Public Health, Imperial College London, London, UK
| | - Jamie Soames
- Clinical Practice Research Datalink, Medicines and Healthcare products Regulatory Agency, London, UK
| | - Lisa McDermott
- School of Population Health and Environmental Sciences, King's College London, London, UK
| | - Kirin Sultana
- Clinical Practice Research Datalink, Medicines and Healthcare products Regulatory Agency, London, UK
| | - Mark Wright
- Clinical Practice Research Datalink, Medicines and Healthcare products Regulatory Agency, London, UK
| | | | - Alastair D Hay
- Centre for Academic Primary Care, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Paul Little
- Primary Care Research Group, University of Southampton, Southampton, UK
| | - Michael Moore
- Primary Care Research Group, University of Southampton, Southampton, UK
| | - Lucy Yardley
- Department of Psychology, University of Southampton, Southampton, UK.,School of Psychological Science, University of Bristol, Bristol, UK
| | - Mark Ashworth
- School of Population Health and Environmental Sciences, King's College London, London, UK
| | - Judith Charlton
- School of Population Health and Environmental Sciences, King's College London, London, UK
| |
Collapse
|
6
|
Guideline Adherence in Antibiotic Prescribing to Patients with Respiratory Diseases in Primary Care: Prevalence and Practice Variation. Antibiotics (Basel) 2020; 9:antibiotics9090571. [PMID: 32899123 PMCID: PMC7559889 DOI: 10.3390/antibiotics9090571] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 08/22/2020] [Accepted: 09/02/2020] [Indexed: 01/21/2023] Open
Abstract
Respiratory tract infections (RTIs) account for a large part of antibiotic prescriptions in primary care. However, guidelines advise restrictive antibiotic prescribing for RTIs. Only in certain circumstances, depending on, e.g., comorbidity, are antibiotics indicated. Most studies on guideline adherence do not account for this. We aimed to assess guideline adherence for antibiotic prescribing for RTIs as well as its variation between general practices (GPs), accounting for patient characteristics. We used data from electronic health records of GPs in the Netherlands. We selected patients who consulted their GP for acute cough, rhinitis, rhinosinusitis or sore throat in 2014. For each disease episode we assessed whether, according to the GP guideline, there was an indication for antibiotics, using the patient's sociodemographic characteristics, comorbidity and co-medication. We assessed antibiotic prescribing for episodes with no or an unsure indication according to the guidelines. We analysed 248,896 episodes. Diagnoses with high rates of antibiotic prescribing when there was no indication include acute tonsillitis (57%), strep throat (56%), acute bronchitis (51%) and acute sinusitis (48%). Prescribing rates vary greatly between diagnoses and practices. Reduction of inappropriate antibiotic prescribing remains a key target to tackle antimicrobial resistance. Insight into reasons for guideline non-adherence may guide successful implementation of the variety of interventions already available for GPs and patients.
Collapse
|
7
|
Seki T, Aki M, Kawashima H, Miki T, Tanaka S, Kawakami K, Furukawa TA. Electronic health record nested pragmatic randomized controlled trial of a reminder system for serum lithium level monitoring in patients with mood disorder: KONOTORI study protocol. Trials 2019; 20:706. [PMID: 31829279 PMCID: PMC6907204 DOI: 10.1186/s13063-019-3847-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Accepted: 10/25/2019] [Indexed: 11/12/2022] Open
Abstract
Background The weaknesses of classical explanatory randomized controlled trials (RCTs) include limited generalizability, high cost, and time burden. Pragmatic RCTs nested within electronic health records (EHRs) can be useful to overcome such limitations. Serum lithium monitoring has often been underutilized in real-world practice in Japan. This trial aims to evaluate the effectiveness of the EHR-nested reminder system for serum lithium level monitoring in the maintenance of therapeutic lithium concentration and in the improvement of the quality of care for patients on lithium maintenance therapy. Methods The Kyoto Toyooka nested controlled trial of reminders (KONOTORI trial) is an EHR-nested, parallel-group, superiority, stratified, permuted block-randomized controlled trial. Screening, random allocation, reminder output, and outcome collection will be conducted automatically by the EHR-nested trial program. Patients with a mood disorder taking lithium carbonate for maintenance therapy will be randomly allocated to the two-step reminder system for serum lithium monitoring or to usual care. The primary outcome is the achievement of therapeutic serum lithium concentration between 0.4 and 1.0 mEq/L at 18 months after informed consent. Discussion The KONOTORI trial uses EHRs to enable the efficient conduct of a pragmatic trial of the reminder system for lithium monitoring. This may contribute to improved quality of care for patients on lithium maintenance therapy. Trial registration University Hospital Medical Information Network (UMIN) Clinical Trials Registry, UMIN000033633. Registered on 3 July 2018.
Collapse
Affiliation(s)
- Tomotsugu Seki
- Department of Pharmacoepidemiology, Graduate School of Medicine/School of Public Health, Kyoto University, Kyoto, Japan
| | - Morio Aki
- Department of Psychiatry, Toyooka Hospital, Toyooka, Hyogo, Japan
| | - Hirotsugu Kawashima
- Department of Psychiatry, Toyooka Hospital, Toyooka, Hyogo, Japan.,Department of Psychiatry, Kyoto University Hospital, Kyoto, Japan
| | - Tomotaka Miki
- Department of Psychiatry, Toyooka Hospital, Toyooka, Hyogo, Japan.,Department of Psychiatry, Kyoto University Hospital, Kyoto, Japan
| | - Shiro Tanaka
- Department of Clinical Biostatistics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Koji Kawakami
- Department of Pharmacoepidemiology, Graduate School of Medicine/School of Public Health, Kyoto University, Kyoto, Japan
| | - Toshi A Furukawa
- Department of Health Promotion and Human Behavior, Graduate School of Medicine/School of Public Health, Kyoto University, Kyoto, Japan.
| |
Collapse
|
8
|
Gulliford MC, Prevost AT, Charlton J, Juszczyk D, Soames J, McDermott L, Sultana K, Wright M, Fox R, Hay AD, Little P, Moore MV, Yardley L, Ashworth M. Effectiveness and safety of electronically delivered prescribing feedback and decision support on antibiotic use for respiratory illness in primary care: REDUCE cluster randomised trial. BMJ 2019; 364:l236. [PMID: 30755451 PMCID: PMC6371944 DOI: 10.1136/bmj.l236] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
OBJECTIVES To evaluate the effectiveness and safety at population scale of electronically delivered prescribing feedback and decision support interventions at reducing antibiotic prescribing for self limiting respiratory tract infections. DESIGN Open label, two arm, cluster randomised controlled trial. SETTING UK general practices in the Clinical Practice Research Datalink, randomised between 11 November 2015 and 9 August 2016, with final follow-up on 9 August 2017. PARTICIPANTS 79 general practices (582 675 patient years) randomised (1:1) to antimicrobial stewardship (AMS) intervention or usual care. INTERVENTIONS AMS intervention comprised a brief training webinar, automated monthly feedback reports of antibiotic prescribing, and electronic decision support tools to inform appropriate prescribing over 12 months. Intervention components were delivered electronically, supported by a local practice champion nominated for the trial. MAIN OUTCOME MEASURES Primary outcome was the rate of antibiotic prescriptions for respiratory tract infections from electronic health records. Serious bacterial complications were evaluated for safety. Analysis was by Poisson regression with general practice as a random effect, adjusting for covariates. Prespecified subgroup analyses by age group were reported. RESULTS The trial included 41 AMS practices (323 155 patient years) and 38 usual care practices (259 520 patient years). Unadjusted and adjusted rate ratios for antibiotic prescribing were 0.89 (95% confidence interval 0.68 to 1.16) and 0.88 (0.78 to 0.99, P=0.04), respectively, with prescribing rates of 98.7 per 1000 patient years for AMS (31 907 prescriptions) and 107.6 per 1000 patient years for usual care (27 923 prescriptions). Antibiotic prescribing was reduced most in adults aged 15-84 years (adjusted rate ratio 0.84, 95% confidence interval 0.75 to 0.95), with one antibiotic prescription per year avoided for every 62 patients (95% confidence interval 40 to 200). There was no evidence of effect for children younger than 15 years (adjusted rate ratio 0.96, 95% confidence interval 0.82 to 1.12) or people aged 85 years and older (0.97, 0.79 to 1.18); there was also no evidence of an increase in serious bacterial complications (0.92, 0.74 to 1.13). CONCLUSIONS Electronically delivered interventions, integrated into practice workflow, result in moderate reductions of antibiotic prescribing for respiratory tract infections in adults, which are likely to be of importance for public health. Antibiotic prescribing to very young or old patients requires further evaluation. TRIAL REGISTRATION ISRCTN95232781.
Collapse
Affiliation(s)
- Martin C Gulliford
- School of Population Health and Environmental Sciences, King's College London, Guy's Campus, King's College London, London, UK
- NIHR Biomedical Research Centre at Guy's and St Thomas' Hospitals London, London, UK
| | - A Toby Prevost
- School of Population Health and Environmental Sciences, King's College London, Guy's Campus, King's College London, London, UK
- NIHR Biomedical Research Centre at Guy's and St Thomas' Hospitals London, London, UK
- School of Public Health, Imperial College London, London, UK
| | - Judith Charlton
- School of Population Health and Environmental Sciences, King's College London, Guy's Campus, King's College London, London, UK
| | - Dorota Juszczyk
- School of Population Health and Environmental Sciences, King's College London, Guy's Campus, King's College London, London, UK
- NIHR Biomedical Research Centre at Guy's and St Thomas' Hospitals London, London, UK
| | - Jamie Soames
- Clinical Practice Research Datalink, Medicines and Healthcare Products Regulatory Agency, London, UK
| | - Lisa McDermott
- School of Population Health and Environmental Sciences, King's College London, Guy's Campus, King's College London, London, UK
| | - Kirin Sultana
- Clinical Practice Research Datalink, Medicines and Healthcare Products Regulatory Agency, London, UK
| | - Mark Wright
- Clinical Practice Research Datalink, Medicines and Healthcare Products Regulatory Agency, London, UK
| | - Robin Fox
- The Health Centre, Bicester, Oxfordshire, UK
| | - Alastair D Hay
- Centre for Academic Primary Care, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Paul Little
- Primary Care Research Group, University of Southampton, Southampton, UK
| | - Michael V Moore
- Primary Care Research Group, University of Southampton, Southampton, UK
| | - Lucy Yardley
- Department of Psychology, University of Southampton, Southampton, UK
- School of Psychological Science, University of Bristol, Bristol, UK
| | - Mark Ashworth
- School of Population Health and Environmental Sciences, King's College London, Guy's Campus, King's College London, London, UK
| |
Collapse
|
9
|
Cornelius VR, McDermott L, Forster AS, Ashworth M, Wright AJ, Gulliford MC. Automated recruitment and randomisation for an efficient randomised controlled trial in primary care. Trials 2018; 19:341. [PMID: 29945656 PMCID: PMC6020316 DOI: 10.1186/s13063-018-2723-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Accepted: 06/06/2018] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND/AIMS Use of electronic health records and information technology to deliver more efficient clinical trials is attracting the attention of research funders and researchers. We report on methodological issues and data quality for a comparison of 'automated' and manual (or 'in-practice') methods for recruitment and randomisation in a large randomised controlled trial, with individual patient allocation in primary care. METHODS We conducted a three-arm randomised controlled trial in primary care to evaluate interventions to improve the uptake of invited NHS health checks for cardiovascular risk assessment. Eligible participants were identified using a borough-wide health check management information system. An in-practice recruitment and randomisation method used at 12 general practices required the research team to complete monthly visits to each general practice. For the fully automated method, employed for six general practices, randomisation of eligible participants was performed automatically and remotely using a bespoke algorithm embedded in the health check management information system. RESULTS There were 8588 and 4093 participants recruited for the manual and automated methods, respectively. The in-practice method was ready for implementation 3 months sooner than the automated method and the in-practice method allowed for full control and documentation of the randomisation procedure. However the in-practice approach was labour intensive and the requirement for participant records to be stored locally resulted in the loss of data for 10 practice months. No records for participants allocated using the automated method were lost. A fixed-effects meta-analysis showed that effect estimates for the primary outcome were consistent for the two allocation methods. CONCLUSIONS This trial demonstrated the feasibility of automated recruitment and randomisation methods into a randomised controlled trial performed in primary care. Future research should explore the application of these techniques in other clinical contexts and health care settings. TRIAL REGISTRATION Current Controlled Trials, ID: ISRCTN42856343 . Registered on 21 March 2013.
Collapse
Affiliation(s)
- Victoria R Cornelius
- Department of Primary Care and Public Health Sciences, King's College, London, UK.
- Imperial Clinical Trials Unit, Imperial College London, 68 Wood Lane, London, W12 7RH, UK.
| | - Lisa McDermott
- Department of Primary Care and Public Health Sciences, King's College, London, UK
| | - Alice S Forster
- Department of Primary Care and Public Health Sciences, King's College, London, UK
- Department of Behavioural Science and Health, University College, London, UK
| | - Mark Ashworth
- Department of Primary Care and Public Health Sciences, King's College, London, UK
| | - Alison J Wright
- Department of Primary Care and Public Health Sciences, King's College, London, UK
- NIHR Biomedical Research Centre at Guy's and St Thomas' Hospital, London, UK
| | - Martin C Gulliford
- Department of Primary Care and Public Health Sciences, King's College, London, UK
- NIHR Biomedical Research Centre at Guy's and St Thomas' Hospital, London, UK
| |
Collapse
|
10
|
Lucas PJ, Ingram J, Redmond NM, Cabral C, Turnbull SL, Hay AD. Development of an intervention to reduce antibiotic use for childhood coughs in UK primary care using critical synthesis of multi-method research. BMC Med Res Methodol 2017; 17:175. [PMID: 29281974 PMCID: PMC5745782 DOI: 10.1186/s12874-017-0455-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 12/06/2017] [Indexed: 01/20/2023] Open
Abstract
Background Overuse of antibiotics contributes to the global threat of antimicrobial resistance. Antibiotic stewardship interventions address this threat by reducing the use of antibiotics in occasions or doses unlikely to be effective. We aimed to develop an evidence-based, theory-informed, intervention to reduce antibiotic prescriptions in primary care for childhood respiratory tract infections (RTI). This paper describes our methods for doing so. Methods Green and Krueter’s Precede/Proceed logic model was used as a framework to integrate findings from a programme of research including 5 systematic reviews, 3 qualitative studies, and 1 cohort study. The model was populated using a strength of evidence approach, and developed with input from stakeholders including clinicians and parents. Results The synthesis produced a series of evidence-based statements summarizing the quantitative and qualitative evidence for intervention elements most likely to result in changes in clinician behaviour. Current evidence suggests that interventions which reduce clinical uncertainty, reduce clinician/parent miscommunication, elicit parent concerns, make clear delayed or no-antibiotic recommendations, and provide clinicians with alternate treatment actions have the best chance of success. We designed a web-based within-consultation intervention to reduce clinician uncertainty and pressure to prescribe, designed to be used when children with RTI present to a prescribing clinician in primary care. Conclusions We provide a worked example of methods for the development of future complex interventions in primary care, where multiple factors act on multiple actors within a complex system. Our synthesis provided intervention guidance, recommendations for practice, and highlighted evidence gaps, but questions remain about how best to implement these recommendations. The funding structure which enabled a single team of researchers to work on a multi-method programme of related studies (NIHR Programme Grant scheme) was key in our success. Trial registration The feasibility study accompanying this intervention was prospectively registered with the ISRCTN registry (ISRCTN23547970), on 27 June 2014. Electronic supplementary material The online version of this article (10.1186/s12874-017-0455-9) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Patricia J Lucas
- School for Policy Studies, University of Bristol, 8 Priory Rd, Bristol, UK.
| | - Jenny Ingram
- Centre for Child and Adolescent Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Niamh M Redmond
- National Institute for Health Research Collaborations for Leadership in Applied Health Research and Care West (NIHR CLAHRC West), University Hospitals Bristol NHS Foundation Trust, Bristol, UK.,Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Christie Cabral
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sophie L Turnbull
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Alastair D Hay
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| |
Collapse
|