Evidence map›Paper›PMID 40598148›Full record

SynthesisBMC medicine2025

A conceptual model of factors potentially influencing prescribing decisions for chronic conditions: an overview of systematic reviews.

Matthew Gittus, Alicia O'Cathain, Katherine Miller, Anja Oklopcic, Albert C Ong, James Fotheringham

Abstract readSystematic Review
In one paragraph

Synthesis in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Matthew GittusUniversity of Sheffield, Sheffield, UK. mjgittus1@sheffield.ac.uk.
Alicia O'CathainUniversity of Sheffield, Sheffield, UK.
Katherine MillerSheffield Kidney Institute, Northern General Hospital, Sheffield, UK.
Anja OklopcicSheffield Kidney Institute, Northern General Hospital, Sheffield, UK.
Albert C OngUniversity of Sheffield, Sheffield, UK.
James FotheringhamUniversity of Sheffield, Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNearly half of all adults are affected by chronic conditions with long-term medications often being the primary intervention. Although models like that of Murshid and Mohaidin contribute to our understanding of prescribing behaviours, they are not specific to chronic conditions and may not reflect the full range of influencing factors relevant to long-term care. Better understanding the factors that may influence healthcare professionals' decision-making could help inform policy and guidelines as well as identify targets for future research and interventions.

methodsAn overview of systematic reviews was undertaken, following the 2020 PRISMA guidelines. PubMed, Embase, Web of Science, Cochrane Library and Google Scholar were searched from 01/01/2013 to 7/11/2023. Quality assessment was undertaken using the AMSTAR 2 tool. Screening, data extraction and synthesis were conducted. Confidence in findings was assessed using the GRADE-CERQual tool. An existing generic conceptual model of prescribing was adjusted to specifically reflect chronic conditions.

resultsTwenty-six reviews published between 2013 and 2023 were included, synthesising 689 primary studies. Patient factors that may influence prescribers' decisions included age, ethnicity, education and level of rurality of residence. Prescribers describe assessing individual patient characteristics when weighing the risks and benefits, with a tendency to prioritise risks-especially for patients with multiple comorbidities or complex needs. Prescribers' approach to risk may be influenced by their clinical experience, care setting and assessment tools. High workload and competing priorities may lead to clinical inertia in terms of delaying or preventing medication initiation. Shared decision-making may not always be shared equally between patients and prescribers. Beyond direct medication costs, prescribers may also consider broader healthcare costs, such as the need for monitoring and use of support staff for monitoring. External factors such as guidelines may be helpful in navigating risks, with their effectiveness potentially enhanced when they offer specific recommendations tailored to prescribers' population characteristics.

conclusionsPrescribers may need to navigate multiple challenges when making prescribing decisions for people with chronic conditions. This overview of systematic reviews suggests possible interrelated factor categories influencing prescribing decisions. The conceptual model may be used as a framework for future research and development of interventions.

Indexed as

Decision MakingDrug PrescriptionsPractice Patterns, Physicians'Chronic DiseaseHumansSystematic Reviews as TopicChronic conditionsChronic diseasesDecision-makingLong-term medicationsPrescribing

Identifiers

PMID40598148
PMCPMC12217990

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.