| Literature DB >> 19426567 |
Ellen Uiters1, Walter Devillé, Marleen Foets, Peter Spreeuwenberg, Peter P Groenewegen.
Abstract
BACKGROUND: Studies on differences between immigrant and non-immigrant groups in health care utilization vary with respect to the extent and direction of differences in use. Therefore, our study aimed to provide a systematic overview of the existing research on differences in primary care utilization between immigrant groups and the majority population.Entities:
Mesh:
Year: 2009 PMID: 19426567 PMCID: PMC2689181 DOI: 10.1186/1472-6963-9-76
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Methodological quality assessment of studies included in the review (n = 37)
| Were the groups clearly defined? | 8 studies unclear/no |
| Can selection bias sufficiently be excluded? 1 | 11 studies unclear/no |
| Did the immigrant groups and the majority population originate from the same source population? 2 | 2 studies unclear/no |
| Was the data collection adjusted for possible language problems or cultural differences3 | 24 studies unclear/no |
| Was use of primary medical care determined independently of immigrant status?4 | 28 studies unclear/no |
| Was immigrant status determined independently of primary medical care use?4 | 14 studies unclear/no |
| Were the results adjusted for potential confounders? | 11 studies unclear/no |
1 Selection bias was only expected to be sufficiently excluded when the study population was based on a random selection from a national sample.
2 Immigrant groups and the majority population originated from the same source population when both samples where retrieved from the same basic population
3 Adjustment for possible language problems and cultural differences was accomplished when during the data collection for instance interpreters or translated questionnaires were used.
4 The use of primary medical care was determined independently from immigrant status (and the other way around) when it was impossible that a person's score on the use of care could be influenced by knowledge about a person's immigrant status. This was not the case when a physician treating the patient filled in both the health care use and a person's immigrant status
Figure 1Flow of included studies. The figure shows the numbers of included and excluded studies during the review process.
Significant differences between immigrant an non-immigrant groups in use of primary care by quality aspects and study characteristics (Multilevel logistic regression, B and standard error)*
| B | Se | |
| Intercept | 0.23 | 0.16 |
| Quality aspects: | ||
| Total quality score | ||
| Adjustment for confounders at study level | ||
| Culturally adjusted questionnaire | ||
| Study characteristics: | ||
| Country US | ||
| Publication year | -0.00 | 0.04 |
| Adjustment confounders outcome level | -0.00 | 0.41 |
| Sample size majority reference group | 0.00 | 0.00 |
| Sample size immigrant groups | -0.00 | 0.00 |
| Length of reference period of use | -0.15 | 0.26 |
| Background immigrant groups a | ||
| European | 1.69 | 0.92 |
| African | 0.14 | 0.77 |
| Asian | 0.92 | 0.56 |
| (South/central) American | 0.23 | 0.60 |
| Variance study levelb | 0 | 0 |
| Variance outcome level |
* significant differences are printed in bold (p < 0.05)
a the mixed immigrant category served as the reference group
b the introduction of variables at study level resulted in the disappearance of the initial variance at the study level compared to the 0 model with only a constant
Differences between immigrant and non-immigrant groups in primary medical care by significantly related variables (%)
| Higher use | Lower use | No significant differences | Significance unclear | |
| Adjustment for confounders at study level (%): | ||||
| yes | 18.6 | 25.8 | 47.1 | 8.6 |
| no | 32.3 | 38.7 | 22.6 | 6.5 |
| Culture/language adjusted questionnaire (%): | ||||
| yes | 10.3 | 30.2 | 60.0 | - |
| no | 30.6 | 24.6 | 28.6 | 16.7 |
| Adjustment for health status (%): | ||||
| yes | 21.6 | 15.7 | 60.8 | 2.0 |
| no | 19.9 | 30.3 | 39.8 | 10.0 |
| Country (%): | ||||
| US | 10.1 | 55.1 | 32.6 | 2.2 |
| other countries | 25.8 | 12.3 | 50.3 | 11.7 |