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...
Autores principales: | , |
---|---|
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 |