Evidence map›Paper›PMID 24500842›Full record

ArticleClinical drug investigation2014

Impact of over-the-counter medication use on patients' health-related quality of life: development and psychometric validation of Over-the-Counter Medication Impact Scale.

Shivani K Mhatre, Sujit S Sansgiry

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Clinical drug investigation, 2014. 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, top 90% of its field
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, 2 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Shivani K MhatreCollege of Pharmacy, University of Houston, 1441 Moursund Street, Houston, TX, 77030, USA.
Sujit S Sansgiry
University of Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveOver-the-counter (OTC) medication use can impact an individual's health-related quality of life (HRQoL); however, there is no instrument specifically developed to measure the impact of OTC medication use on patients' HRQoL. The aim of the study was to develop an OTC Medication Impact Scale (OTC-MIS), a generic patient-reported outcome measure to assess the impact of OTC medication use on patients' HRQoL.

methodsItems were generated based on the principles of the HRQoL theory, and were comparable to the domains of the Short-Form version 12 scale (SF-12). The OTC-MIS was tested for construct and criterion validity, internal consistency reliability, and floor and ceiling effects. The psychometric properties of the scale were evaluated in a general elderly population (n = 153), as well as in a disease-specific HIV population (n = 215), to assess generalizability of the scale in different populations.

resultsAll the items had response rates >95 %; there were no floor or ceiling effects in the scale. Reliability in terms of Cronbach's alpha was >0.9, and exploratory factor analysis indicated unidimensionality of the scale. The instrument showed known-group validity (p < 0.01) among patients with and without OTC medication-associated adverse events, and adequate criterion validity when compared with the SF-12v2 scale (p < 0.05).

conclusionThe OTC-MIS is a validated and reliable measure to assess the impact of OTC medication use on patient HRQoL and may prove beneficial in evaluating the role OTC medications play in healthcare processes.

Indexed as

Health Status IndicatorsQuality of LifeAgedCross-Sectional StudiesFemaleHIV InfectionsHumansMaleMiddle AgedNonprescription DrugsPsychometricsReproducibility of ResultsNonprescription Drugs

Identifiers

PMID24500842
OpenAlexW2014818287

What OpenQuestion holds

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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.