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Peter Vedsted

Potentially inappropriate medications (PIMs): frequency and extent of GP-related variation in PIMs: a register-based cohort study

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Potentially inappropriate medications (PIMs) : frequency and extent of GP-related variation in PIMs: a register-based cohort study. / Ribe, Anette Riisgaard; Christensen, Line Due; Vestergaard, Claus Høstrup et al.

I: BMJ Open, Bind 11, Nr. 7, e046756, 07.2021.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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@article{383821a0a75b449b919ffc636895368d,
title = "Potentially inappropriate medications (PIMs): frequency and extent of GP-related variation in PIMs: a register-based cohort study",
abstract = "OBJECTIVES: Potentially inappropriate medications (PIMs) pose an increasing challenge in the ageing population. We aimed to assess the extent of PIMs and the prescriber-related variation in PIM prevalence.DESIGN: Nationwide register-based cohort study.SETTING: General practice.PARTICIPANTS: The 4.2 million adults listed with general practitioner (GP) clinics in Denmark (n=1906) in 2016.MAIN OUTCOME MEASURES: We estimated the patients' time with PIMs by using 29 register-operationalised STOPP criteria linking GP clinics and redeemed prescriptions. For each criterion and each GP clinic, we calculated ratios between the observed PIM time and that predicted by multivariate Poisson regressions on the patients. The observed variation was measured as the 90th/10th percentile ratios of these ratios. The extent of expectable random variation was assessed as the 90th/10th percentile ratios in randomly sampled GP populations (ie, the sampled variation). The GP-related excess variation was calculated as the ratio between the observed variation and sampled variation. The linear correlation between the observed/expected ratio for each of the criteria and the observed/expected ratio of total PIM time (for each clinic) was measured by Pearson's rho.RESULTS: Overall, 294 542 individuals were exposed to 1 44 117 years of PIMs. The two most prevalent PIMs were long-term use (>3 months) of non-steroidal anti-inflammatory drugs (51 074 years of PIMs) or benzodiazepines (48 723 years of PIMs). These two criteria showed considerable excess variation of 2.33 and 3.05, respectively; for total PIMs, this figure was 1.65. For more than half of the criteria, we observed a positive correlation between the specific PIM and the sum of remaining PIMs.CONCLUSIONS: This study documents considerable variations in the prescribing practice of GPs for certain PIMs. These findings highlight a need for exploring the causal explanations for such variations, which could be markers of suboptimal GP-prescribing strategies.",
keywords = "clinical pharmacology, epidemiology, general medicine (see internal medicine), primary care, public health, statistics & research methods, SYSTEM, EXPLICIT CRITERIA, GENERAL-PRACTICE, RISK, ADVERSE DRUG-REACTIONS, MULTIMORBIDITY, OLDER-PEOPLE, HEALTH-CARE, OUTCOMES, STOPP/START CRITERIA",
author = "Ribe, {Anette Riisgaard} and Christensen, {Line Due} and Vestergaard, {Claus H{\o}strup} and Anders Prior and Brynningsen, {Peter Krogh} and Flemming Bro and Annelli Sandb{\ae}k and Peter Vedsted and Witte, {Daniel R} and Morten Fenger-Gr{\o}n",
note = "{\textcopyright} 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.",
year = "2021",
month = jul,
doi = "10.1136/bmjopen-2020-046756",
language = "English",
volume = "11",
journal = "B M J Open",
issn = "2044-6055",
publisher = "BMJ Publishing Group",
number = "7",

}

RIS

TY - JOUR

T1 - Potentially inappropriate medications (PIMs)

T2 - frequency and extent of GP-related variation in PIMs: a register-based cohort study

AU - Ribe, Anette Riisgaard

AU - Christensen, Line Due

AU - Vestergaard, Claus Høstrup

AU - Prior, Anders

AU - Brynningsen, Peter Krogh

AU - Bro, Flemming

AU - Sandbæk, Annelli

AU - Vedsted, Peter

AU - Witte, Daniel R

AU - Fenger-Grøn, Morten

N1 - © 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.

PY - 2021/7

Y1 - 2021/7

N2 - OBJECTIVES: Potentially inappropriate medications (PIMs) pose an increasing challenge in the ageing population. We aimed to assess the extent of PIMs and the prescriber-related variation in PIM prevalence.DESIGN: Nationwide register-based cohort study.SETTING: General practice.PARTICIPANTS: The 4.2 million adults listed with general practitioner (GP) clinics in Denmark (n=1906) in 2016.MAIN OUTCOME MEASURES: We estimated the patients' time with PIMs by using 29 register-operationalised STOPP criteria linking GP clinics and redeemed prescriptions. For each criterion and each GP clinic, we calculated ratios between the observed PIM time and that predicted by multivariate Poisson regressions on the patients. The observed variation was measured as the 90th/10th percentile ratios of these ratios. The extent of expectable random variation was assessed as the 90th/10th percentile ratios in randomly sampled GP populations (ie, the sampled variation). The GP-related excess variation was calculated as the ratio between the observed variation and sampled variation. The linear correlation between the observed/expected ratio for each of the criteria and the observed/expected ratio of total PIM time (for each clinic) was measured by Pearson's rho.RESULTS: Overall, 294 542 individuals were exposed to 1 44 117 years of PIMs. The two most prevalent PIMs were long-term use (>3 months) of non-steroidal anti-inflammatory drugs (51 074 years of PIMs) or benzodiazepines (48 723 years of PIMs). These two criteria showed considerable excess variation of 2.33 and 3.05, respectively; for total PIMs, this figure was 1.65. For more than half of the criteria, we observed a positive correlation between the specific PIM and the sum of remaining PIMs.CONCLUSIONS: This study documents considerable variations in the prescribing practice of GPs for certain PIMs. These findings highlight a need for exploring the causal explanations for such variations, which could be markers of suboptimal GP-prescribing strategies.

AB - OBJECTIVES: Potentially inappropriate medications (PIMs) pose an increasing challenge in the ageing population. We aimed to assess the extent of PIMs and the prescriber-related variation in PIM prevalence.DESIGN: Nationwide register-based cohort study.SETTING: General practice.PARTICIPANTS: The 4.2 million adults listed with general practitioner (GP) clinics in Denmark (n=1906) in 2016.MAIN OUTCOME MEASURES: We estimated the patients' time with PIMs by using 29 register-operationalised STOPP criteria linking GP clinics and redeemed prescriptions. For each criterion and each GP clinic, we calculated ratios between the observed PIM time and that predicted by multivariate Poisson regressions on the patients. The observed variation was measured as the 90th/10th percentile ratios of these ratios. The extent of expectable random variation was assessed as the 90th/10th percentile ratios in randomly sampled GP populations (ie, the sampled variation). The GP-related excess variation was calculated as the ratio between the observed variation and sampled variation. The linear correlation between the observed/expected ratio for each of the criteria and the observed/expected ratio of total PIM time (for each clinic) was measured by Pearson's rho.RESULTS: Overall, 294 542 individuals were exposed to 1 44 117 years of PIMs. The two most prevalent PIMs were long-term use (>3 months) of non-steroidal anti-inflammatory drugs (51 074 years of PIMs) or benzodiazepines (48 723 years of PIMs). These two criteria showed considerable excess variation of 2.33 and 3.05, respectively; for total PIMs, this figure was 1.65. For more than half of the criteria, we observed a positive correlation between the specific PIM and the sum of remaining PIMs.CONCLUSIONS: This study documents considerable variations in the prescribing practice of GPs for certain PIMs. These findings highlight a need for exploring the causal explanations for such variations, which could be markers of suboptimal GP-prescribing strategies.

KW - clinical pharmacology

KW - epidemiology

KW - general medicine (see internal medicine)

KW - primary care

KW - public health

KW - statistics & research methods

KW - SYSTEM

KW - EXPLICIT CRITERIA

KW - GENERAL-PRACTICE

KW - RISK

KW - ADVERSE DRUG-REACTIONS

KW - MULTIMORBIDITY

KW - OLDER-PEOPLE

KW - HEALTH-CARE

KW - OUTCOMES

KW - STOPP/START CRITERIA

U2 - 10.1136/bmjopen-2020-046756

DO - 10.1136/bmjopen-2020-046756

M3 - Journal article

C2 - 34261683

VL - 11

JO - B M J Open

JF - B M J Open

SN - 2044-6055

IS - 7

M1 - e046756

ER -