Evidence map›Paper›PMID 37888503›Full record

ArticlePharmacy (Basel, Switzerland)2023

Development of a Self-Assessment Audit Instrument to Support Climate-Conscious Community Pharmacy Practice and Education.

Stella Fisher, Annalise Mathers, Zubin Austin

Abstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Development of an Environmental Audit Tool for Hospital Pharmacy.The Canadian journal of hospital pharmacy · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Stella FisherSchool of Pharmacy, The University of Nottingham, Nottingham NG7 2RD, UK.
Annalise MathersLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada.ORCID 0000-0002-4864-6359
Zubin AustinLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON M5S 3M2, Canada.ORCID 0000-0001-6055-2518

Funding

Just Climate Transition Grant - Climate Positive Energy LDFP_01-23
6 · The paper itself

Abstract

Climate breakdown continues to occur at an alarming pace, and the need for all citizens and professionals to respond has never been so urgent. Healthcare work contributes significantly to greenhouse gas (GHG) emissions, representing an opportunity and responsibility for pharmacists to engage in more climate-conscious practices. A key informant interview-based qualitative research method was undertaken to identify options and strategies for community pharmacists to contribute positively to achieving climate-related carbon footprint reduction goals. A total of 10 thought leaders in climate-conscious pharmacy practice were interviewed using a semi-structured protocol, and a constant comparative data analysis method was used to identify common themes and priorities. A self-assessment audit instrument (SAAI) was identified as a positive first step to build awareness, knowledge, skills, and confidence amongst community pharmacists regarding actionable climate-conscious community pharmacy practice. The SAAI supported both self-reflection and self-assessment, while signposting additional resources that could be accessed by pharmacists to continue their learning and professional development. Further work in this area is required if community pharmacy is to contribute positively to climate reduction targets locally and globally.

Indexed as

climate breakdownclimate changeclimate-conscious pharmacy practicecommunity pharmacy practicepharmacy education

Identifiers

PMID37888503
PMCPMC10610274

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.