Evidence map›Paper›PMID 25421269›Full record

ArticleBMC family practice2014

Drugs prescribed by general practitioners according to age, gender and socioeconomic status after adjustment for multimorbidity level.

Jessica Skoog, Patrik Midlöv, Anders Beckman, Jan Sundquist, Anders Halling

Open access · goldAbstract read
In one paragraph

Article in BMC family practice, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 3 institutions in 3 countries.

Jessica SkoogDepartment of Clinical Sciences in Malmö, Center for Primary Health Care Research, Lund University, SE-205 02, Malmö, Sweden. jessica.skoog@med.lu.se.
Patrik MidlövDepartment of Clinical Sciences in Malmö, Center for Primary Health Care Research, Lund University, SE-205 02, Malmö, Sweden. patrik.midlov@med.lu.se.
Anders BeckmanDepartment of Clinical Sciences in Malmö, Center for Primary Health Care Research, Lund University, SE-205 02, Malmö, Sweden. anders.beckman@med.lu.se.
Jan SundquistDepartment of Clinical Sciences in Malmö, Center for Primary Health Care Research, Lund University, SE-205 02, Malmö, Sweden. jan.sundquist@med.lu.se.
Anders HallingDepartment of Clinical Sciences in Malmö, Center for Primary Health Care Research, Lund University, SE-205 02, Malmö, Sweden. anhalling@health.sdu.dk.
Lund University · SEStanford University · USUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAge, gender and socioeconomic status have been shown to be associated with the use of prescription drugs, even after adjustment for multimorbidity. General practitioners have a holistic and patient-centred perspective and our hypothesis is that this may reflect on the prescription of drugs. In Sweden the patient may seek secondary care without a letter of referral and the liability of the prescription of drugs accompanies the patient, which makes it suitable for this type of research. In this study we examine the odds of having prescription drug use in the population and the rates of prescription drugs among patients, issued in primary health care, according to age, gender and socioeconomic status after adjustment for multimorbidity level.

methodData were collected on all individuals above 20 years of age in Östergötland county with about 400 000 inhabitants in year 2006. The John Hopkins ACG Case-mix was used as a proxy for multimorbidity level. Odds ratio (OR) of having prescription drugs issued in primary health care in the population and rates of prescription drug use among patients in primary health care, stated as incidence rate ratio (IRR), according to age, gender and socioeconomic status were calculated and adjusted for multimorbidity.

resultsAfter adjustment for multimorbidity, individuals 80 years or older had higher odds ratio (OR 3.37 (CI 95% 3.22-3.52)) and incidence rate ratio (IRR 6.24 (CI 95% 5.79-6.72)) for prescription drug use. Male individuals had a lower odds ratio of having prescription drugs (OR 0.66 (CI 95% 0.64-0.69)), but among patients males had a slightly higher incidence rate of drug use (IRR 1.06 (CI 95% 1.04-1.09)). Individuals with the highest income had the lowest odds ratio of having prescription drugs and individuals with the second lowest income had the highest odds ratio of having prescription drugs (OR 1.10 (CI 95% 1.07-1.13)). Individuals with the highest education had the lowest odds ratio of having prescription drugs (OR 0.61 (CI 95% 0.54-0.67)).

conclusionAge, gender and socioeconomic status are associated with large differences in the use of prescribed drugs in primary health care, even after adjustment for multimorbidity level.

Indexed as

General PracticeSocial ClassAdultAgedAged, 80 and overAge FactorsComorbidityEducational StatusFemaleHumansIncomeMaleMiddle AgedOdds RatioPractice Patterns, Physicians'Prescription DrugsPrescription Drugs

Identifiers

PMID25421269
PMCPMC4246463
OpenAlexW2012680900

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.