| Literature DB >> 26362669 |
Sibel Vildan Altin1, Kristina Lorrek2, Stephanie Stock3.
Abstract
BACKGROUND: The evolving approach of health literate health care organizations (HLHO) receives considerable support from health policy makers. Up to now, there are no performance measures available to assess the application of health literacy strategies by health care professionals in the primary care setting. This paper describes the development and validation of the Health Literate Primary Care Practice screener (HLPC). The screener can be used as a self-assessment tool for primary care organizations (PCO) that aim to elucidate the health literacy responsiveness of their organization.Entities:
Mesh:
Year: 2015 PMID: 26362669 PMCID: PMC4567781 DOI: 10.1186/s12875-015-0336-4
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Demographic characteristics
| Variable | N | % |
|---|---|---|
| Participants | 1125 | |
|
| ||
| Mean ± SD | 52.4 ± 17.7 | |
| Range | 18-96 | |
|
| ||
| Female | 680 | 60.4 |
| Male | 445 | 39.6 |
|
| ||
| Non-migrant | 921 | 82.4 |
| Migrant | 197 | 17.6 |
|
| ||
| Middle school degree | 192 | 17.1 |
| Intermediate high school degree | 298 | 26.5 |
| University entrance qualification | 254 | 22.6 |
| University degree | 195 | 17.3 |
|
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| Urban | 504 | 44.8 |
| Rural | 607 | 54.0 |
|
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| Statutory health insurance | 963 | 85.6 |
| Private insurance | 151 | 13.4 |
| General practitioner as regular doctor | 1066 | 94.8 |
|
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| Very good | 408 | 36.3 |
| Good | 444 | 39,5 |
| Fair | 202 | 18.0 |
| Poor | 61 | 5.4 |
|
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| Diabetes | 99 | 8.8 |
| Coronary artery disease | 143 | 12.7 |
| Hypertension | 349 | 31.0 |
| Asthma | 114 | 10.1 |
| Depression | 134 | 11.9 |
| Multimorbidity (>3 chronic conditions) | 168 | 16.0 |
Descriptive statistics; factor loadings and internal consistency
| All participants ( | |||||||
|---|---|---|---|---|---|---|---|
| No. | Item | Missing (%) | Skewness | Item difficulty (Meana, SD) | Discriminationb | Factor Loadings | R2 |
| 1 | When you need care or treatment, how often does your general practitioner or medical staff you see know important information about your medical history? | 5 | −2,479 | 3.69 (0.72) | 0.58 | 0.65 | 0.42 |
| 2 | When you need care or treatment, how often does your general practitioner or medical staff you see spend enough time with you? | 5 | −1,891 | 3.56 (0.82) | 0.68 | 0.76 | 0.58 |
| 3 | When you need care or treatment, how often does your general practitioner or medical staff you see encourage you to ask questions? | 5 | −2,059 | 3.59 (0.83) | 0.69 | 0.78 | 0.61 |
| 4 | When you need care or treatment, how often does your general practitioner or medical staff you see explain things in a way that is easy to understand? | 5 | −2,610 | 3.73 (0.64) | 0.54 | 0.71 | 0.50 |
aItems are scored 1–4; bCronbach’s α of corrected Item-total correlation
Measures of global fit confirmatory factor analysis
| x2 | d.f. | p | x2/d.f. | TLI | CFI | RMSEA | WRMR | |
|---|---|---|---|---|---|---|---|---|
| Thresholds for acceptable fit | ≤2 | ≥0.95 | ≥0.95 | ≤0.08 | <1.0 | |||
| One-factor model | 10.413 | 16 | <0.005 | 0.651 | 0.973 | 0.991 | 0.063 | 0.570 |
CFI comparative fit index; RMSEA root mean square error of approxamination; TLI Tucker-Lewis Index; WRMR weighted root mean square residual
Correlations between scale score and individual items
| Scale/item | Scale score |
|---|---|
|
| |
| Satisfaftion with GP | 0.466 |
| Coordination of care by the GP | 0.278 |
| Accessability of GP | 0.251 |
*All bivariate correlations are significant at p < 0.01