Cargando…

Analysis of primary care prescription trends in England during the COVID-19 pandemic compared against a predictive model

OBJECTIVES: The COVID-19 pandemic has had an unprecedented impact across primary care. Primary care services have seen an upheaval, and more and more patients are engaging in telephone consultations in order to maintain social distancing. In the present study, we seek to quantify the effect of the p...

Descripción completa

Detalles Bibliográficos
Autores principales: Frazer, John Scott, Frazer, Glenn Ross
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338320/
https://www.ncbi.nlm.nih.gov/pubmed/34344766
http://dx.doi.org/10.1136/fmch-2021-001143
_version_ 1783733460271104000
author Frazer, John Scott
Frazer, Glenn Ross
author_facet Frazer, John Scott
Frazer, Glenn Ross
author_sort Frazer, John Scott
collection PubMed
description OBJECTIVES: The COVID-19 pandemic has had an unprecedented impact across primary care. Primary care services have seen an upheaval, and more and more patients are engaging in telephone consultations in order to maintain social distancing. In the present study, we seek to quantify the effect of the pandemic on primary care prescribing. DESIGN: We conducted a retrospective analysis of the English Prescribing Dataset from January 2014 to November 2020, totalling 7 542 293 921 prescriptions. Data were separated into prepandemic and pandemic sets. A Holt-Winters predictive model was used to forecast individual drug prescribing based on historic trends. Observed data were compared with the forecast quantitatively and qualitatively. SETTING: All prescriptions signed in England and dispensed during the years 2014–2020. PARTICIPANTS: All residents of England who received a prescription from primary care facilities during 2014–2020. RESULTS: Prescribing of numerous health-critical medications was above predicted in March 2020, including salbutamol (53.0% (99% CI (41.2% to 66.9%))), insulin aspart (26.9% (99% CI (18.5% to 36.6%))) and tacrolimus (18.6% (99% CI (8.3% to 31.1%))). Medications for end-of-life symptom control increased in April, including levomepromazine hydrochloride (94.7% (99% CI (54.6% to 163.0%))). Medications requiring face-to-face visits decreased, including the local anaesthetic bupivacaine hydrochloride (86.6% (99% CI (89.3% to 82.0%))). There was no observed change in medications relating to type 2 diabetes, hypertension or mental health conditions. CONCLUSIONS: Significantly increased prescribing of several medications was observed, especially among those critical for health. A dramatic spike in end-of-life prescribing highlights the adversity faced by community practitioners during 2020. Medications involving face-to-face consultations declined, as did contraceptives, travel-related vaccines and drugs used in dementia and Parkinson’s disease. Drugs relating to type 2 diabetes, hypertension and mental health were unchanged.
format Online
Article
Text
id pubmed-8338320
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-83383202021-08-09 Analysis of primary care prescription trends in England during the COVID-19 pandemic compared against a predictive model Frazer, John Scott Frazer, Glenn Ross Fam Med Community Health Original Research OBJECTIVES: The COVID-19 pandemic has had an unprecedented impact across primary care. Primary care services have seen an upheaval, and more and more patients are engaging in telephone consultations in order to maintain social distancing. In the present study, we seek to quantify the effect of the pandemic on primary care prescribing. DESIGN: We conducted a retrospective analysis of the English Prescribing Dataset from January 2014 to November 2020, totalling 7 542 293 921 prescriptions. Data were separated into prepandemic and pandemic sets. A Holt-Winters predictive model was used to forecast individual drug prescribing based on historic trends. Observed data were compared with the forecast quantitatively and qualitatively. SETTING: All prescriptions signed in England and dispensed during the years 2014–2020. PARTICIPANTS: All residents of England who received a prescription from primary care facilities during 2014–2020. RESULTS: Prescribing of numerous health-critical medications was above predicted in March 2020, including salbutamol (53.0% (99% CI (41.2% to 66.9%))), insulin aspart (26.9% (99% CI (18.5% to 36.6%))) and tacrolimus (18.6% (99% CI (8.3% to 31.1%))). Medications for end-of-life symptom control increased in April, including levomepromazine hydrochloride (94.7% (99% CI (54.6% to 163.0%))). Medications requiring face-to-face visits decreased, including the local anaesthetic bupivacaine hydrochloride (86.6% (99% CI (89.3% to 82.0%))). There was no observed change in medications relating to type 2 diabetes, hypertension or mental health conditions. CONCLUSIONS: Significantly increased prescribing of several medications was observed, especially among those critical for health. A dramatic spike in end-of-life prescribing highlights the adversity faced by community practitioners during 2020. Medications involving face-to-face consultations declined, as did contraceptives, travel-related vaccines and drugs used in dementia and Parkinson’s disease. Drugs relating to type 2 diabetes, hypertension and mental health were unchanged. BMJ Publishing Group 2021-08-03 /pmc/articles/PMC8338320/ /pubmed/34344766 http://dx.doi.org/10.1136/fmch-2021-001143 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Frazer, John Scott
Frazer, Glenn Ross
Analysis of primary care prescription trends in England during the COVID-19 pandemic compared against a predictive model
title Analysis of primary care prescription trends in England during the COVID-19 pandemic compared against a predictive model
title_full Analysis of primary care prescription trends in England during the COVID-19 pandemic compared against a predictive model
title_fullStr Analysis of primary care prescription trends in England during the COVID-19 pandemic compared against a predictive model
title_full_unstemmed Analysis of primary care prescription trends in England during the COVID-19 pandemic compared against a predictive model
title_short Analysis of primary care prescription trends in England during the COVID-19 pandemic compared against a predictive model
title_sort analysis of primary care prescription trends in england during the covid-19 pandemic compared against a predictive model
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338320/
https://www.ncbi.nlm.nih.gov/pubmed/34344766
http://dx.doi.org/10.1136/fmch-2021-001143
work_keys_str_mv AT frazerjohnscott analysisofprimarycareprescriptiontrendsinenglandduringthecovid19pandemiccomparedagainstapredictivemodel
AT frazerglennross analysisofprimarycareprescriptiontrendsinenglandduringthecovid19pandemiccomparedagainstapredictivemodel