Evidence map›Paper›PMID 42774066›Full record

ReviewFarmaceuticos comunitarios2026

Patient-reported outcomes and experience measures in the Community Pharmacy setting: Theoretical and practical framework regarding the PROMs and PREMs.

Alberto de la Cuadra-Grande

Abstract readReview
In one paragraph

Review in Farmaceuticos comunitarios, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Alberto de la Cuadra-GrandeCommunity Pharmacist, Sánchez Pacheco 17 Pharmacy, 28002 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare systems are evolving toward person-centered and value-driven models, in which the patient's perspective plays a key role. Thus, patient-reported outcomes (PROs) and experience (PRE) are key elements for evaluating the impact of healthcare interventions from the patient's own perspective. Patient-Reported Outcome Measures (PROMs) and Patient-Reported Experience Measures (PREMs) are standardized and validated questionnaires designed to measure these variables, which could complement conventional clinical outcomes. This document describes the theoretical foundations of PROM and PREM and proposes a practical framework for their implementation in the field of community pharmacy. The manuscript addresses aspects related to their definition, psychometric properties (validity, reliability, sensitivity to change…), development process, and criteria for selecting the appropriate instrument. It also reviews some available instruments and their applications at the institutional, healthcare, and clinical levels. From a practical perspective, it outlines the key phases for their implementation in pharmaceutical practice (preliminary logistical preparation, initial consultation, and follow-up), highlighting the importance of therapeutic education, data collection infrastructure, and integration into clinical decision-making. The systematic measurement of PROs and PRE in community pharmacy can help improve the quality of care, promote patient engagement, optimize health outcomes, and reinforce the role of the pharmacist as a key healthcare professional in a value-based system.

Indexed as

Community Pharmacy ServicesPatient Reported Outcome MeasuresHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesCommunity PharmacyPatient-Reported Outcomes MeasuresSurveys and Questionnaires

Identifiers

PMID42774066
PMCPMC13573813

What OpenQuestion holds

Textmetadata
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.