Developing a measure of polypharmacy appropriateness in primary care: systematic review and expert consensus study

Abstract Background Polypharmacy is an increasing challenge for primary care. Although sometimes clinically justified, polypharmacy can be inappropriate, leading to undesirable outcomes. Optimising care for polypharmacy necessitates effective targeting and monitoring of interventions. This requires a valid, reliable measure of polypharmacy, relevant for all patients, that considers clinical appropriateness and generic prescribing issues applicable across all medications. Whilst there are several existing measures of potentially inappropriate prescribing, these are not specifically designed with polypharmacy in mind, can require extensive clinical input to complete, and often cover a limited number of drugs. The aim of this study was to identify what experts consider to be the key elements of a measure of prescribing appropriateness in the context of polypharmacy. Methods Firstly, we conducted a systematic review to identify generic (not drug specific) prescribing indicators relevant to polypharmacy appropriateness. Indicators were subject to content analysis to enable categorisation. Secondly, we convened a panel of 10 clinical experts to review the identified indicators and assess their relative clinical importance. For each indicator category, a brief evidence summary was developed, based on relevant clinical and indicator literature, clinical guidance, and opinions obtained from a separate patient discussion panel. A two-stage RAND/UCLA Appropriateness Method was used to reach consensus amongst the panel on a core set of indicators of polypharmacy appropriateness. Results We identified 20,879 papers for title/abstract screening, obtaining 273 full papers. We extracted 189 generic indicators, and presented 160 to the panel grouped into 18 classifications (e.g. adherence, dosage, clinical efficacy). After two stages, during which the panel introduced 18 additional indicators, there was consensus that 134 indicators were of clinical importance. Following the application of decision rules and further panel consultation, 12 indicators were placed into the final selection. Panel members particularly valued indicators concerned with adverse drug reactions, contraindications, drug-drug interactions, and the conduct of medication reviews. Conclusions We have identified a set of 12 indicators of clinical importance considered relevant to polypharmacy appropriateness. Use of these indicators in clinical practice and informatics systems is dependent on their operationalisation and their utility (e.g. risk stratification, targeting and monitoring polypharmacy interventions) requires subsequent evaluation. Trial registration Registration number: PROSPERO ( CRD42016049176 ).

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.6084/m9.figshare.c.4131959
PID https://www.doi.org/10.17863/cam.24238
PID https://www.doi.org/10.6084/m9.figshare.c.4131959.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.4131959.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.4131959
URL http://dx.doi.org/10.17863/cam.24238
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right not available
Attribution

Description: Authorships and contributors

Field Value
Author Burt, Jenni
Author Elmore, Natasha
Author Campbell, Stephen
Author Rodgers, Sarah
Author Avery, Anthony
Author Payne, Rupert
Contributor Apollo-University Of Cambridge Repository
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From Datacite
Hosted By figshare
Publication Date 2018-06-13
Publisher Figshare
Additional Info
Field Value
Language UNKNOWN
Resource Type Collection
keyword FOS: Biological sciences
keyword FOS: Health sciences
system:type other
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::bbb240731c0f615e5f9365e7d9359cc5
Author jsonws_user
Last Updated 19 December 2020, 17:49 (CET)
Created 19 December 2020, 17:49 (CET)