Evidence map›Paper›PMID 17425792›Full record

ArticleBMC health services research2007

Patient risk profiles and practice variation in nonadherence to antidepressants, antihypertensives and oral hypoglycemics.

Liset van Dijk, Eibert R Heerdink, Dinesh Somai, Sandra van Dulmen, Emmy M Sluijs, Denise T de Ridder, Anna M G F Griens, Jozien M Bensing

Abstract read
In one paragraph

Article in BMC health services research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  5. Medication Routines and Adherence Among Hypertensive African Americans.Journal of clinical hypertension (Greenwich, Conn.) · 2015
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  14. [Attitudes towards anti-depressive therapy: acceptance vs. stigmatization].Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater · 2015
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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

8 authors.

Liset van DijkNIVEL, Netherlands Institute for Health Services Research, Utrecht, The Netherlands. L.vanDijk@nivel.nl
Eibert R Heerdink
Dinesh Somai
Sandra van Dulmen
Emmy M Sluijs
Denise T de Ridder
Anna M G F Griens
Jozien M Bensing

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany patients experience difficulties in following treatment recommendations. This study's objective is to identify nonadherence risk profiles regarding medication (antidepressants, antihypertensives, and oral hypoglycemics) from a combination of patients' socio-demographic characteristics, morbidity presented within general practice and medication characteristics. An additional objective is to explore differences in nonadherence among patients from different general practices.

methodsData were obtained by linkage of a Dutch general practice registration database to a dispensing registration database from the year 2001. Subjects included in the analyses were users of antidepressants (n = 4,877), antihypertensives (n = 14,219), or oral hypoglycemics (n = 2,428) and their GPs. Outcome variables were: 1) early dropout i.e., a maximum of two prescriptions and 2) refill nonadherence (in patients with 3+ prescriptions); refill adherence < 80% was considered as nonadherence. Multilevel modeling was used for analyses.

resultsBoth early dropout and refill nonadherence were highest for antidepressants, followed by antihypertensives. Risk factors appeared medication specific and included: 1) non-western immigrants being more vulnerable for nonadherence to antihypertensives and antidepressants; 2) type of medication influencing nonadherence in both antihypertensives and antidepressants, 3) GP consultations contributing positively to adherence to antihypertensives and 4) somatic co-morbidity influencing adherence to antidepressants negatively. There was a considerable range between general practices in the proportion of patients who were nonadherent.

conclusionNo clear risk profiles for nonadherence could be constructed. Characteristics that are correlated with nonadherence vary across different types of medication. Moreover, both patient and prescriber influence adherence. Especially non-western immigrants need more attention with regard to nonadherence, for example by better monitoring or communication. Since it is not clear which prescriber characteristics influence adherence levels of their patients, there is need for further research into the role of the prescriber.

Indexed as

Treatment RefusalAge FactorsAntidepressive AgentsAntihypertensive AgentsDatabases, FactualEducational StatusEmigration and ImmigrationFamily PracticeFemaleHumansHypoglycemic AgentsMaleNetherlandsRisk FactorsSex FactorsAntidepressive AgentsAntihypertensive AgentsHypoglycemic Agents

Identifiers

PMID17425792
PMCPMC1855317

What OpenQuestion holds

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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 OpenQuestion graph.