| Literature DB >> 25418011 |
Sibel Vildan Altin1, Isabelle Finke, Sibylle Kautz-Freimuth, Stephanie Stock.
Abstract
BACKGROUND: Health literacy (HL) is seen as an increasingly relevant issue for global public health and requires a reliable and comprehensive operationalization. By now, there is limited evidence on how the development of tools measuring HL proceeded in recent years and if scholars considered existing methodological guidance when developing an instrument.Entities:
Mesh:
Year: 2014 PMID: 25418011 PMCID: PMC4289240 DOI: 10.1186/1471-2458-14-1207
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1PRISMA flow diagram of systematic review inclusion and exclusion process.
Measurement modes and approaches of health literacy
| Number of generic instruments (n = 17) | ||
|---|---|---|
| N | % | |
| All generic instruments | 17 | - |
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| Print literacy | 17 | 100 |
| Oral literacy | 3 | 17,6 |
| Numeracy | 8 | 47,1 |
| Multidimensional measurement | 16 | 94,1 |
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| Objective measurement | 5 | 29,4 |
| Subjective measurement | 5 | 29,4 |
| Mixed measurement | 7 | 41,2 |
| Multidimensional construct | 13 | 76,5 |
Main instrument characteristics categorized into objective, subjective and mixed measurement
| Instrument* | Author | Design and scope | Sample | Reliability | Validity sensitivity/Specifity | Instrument availability |
|---|---|---|---|---|---|---|
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| Rawson et al. 2009 [ | 40 medical words and 40 non-medical words Scoring: Low literacy (0–20); Marginal literacy (21–34) Functional literacy (35–40) | 154 participants; mean age: 62.7 years (range: 29–88); 76.5% male; 92.6% white | Internal consistency: Cr. α = 0.93 | REALM r = 0.74; 75% correct and 8% false positives identification | Available |
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| Yost et al. 2009 [ | Adoption of items from the NALS/NAAL framework and application to health-related materials; development of 138 items: 58 prose, 39 document, 41 quantitative Scoring: Not described | 97 English participants, 134 Spanish participant; 65% female English, 74.6% female Spanish; | / | / | Partly available |
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| Steckelberg et al. 2009 [ | 72 items; categories: Medical concepts, literature, statistics, design of experiments and sampling Scoring: not described | Phase 2: 322 trained and non-trained secondary school and university students; Phase 3: 107 grade 11 secondary school classes students | Phase 2: Reliability Rasch model = 0.88 Phase 3: Reliability Rasch model = 0.91 | Effect size: Cohen’s d = 4.33 | Not available |
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| Lee et al. 2010 [ | 32 items, reading test in Spanish and English Scoring: Cutoff point for low HL: ≤14 | 202 English-speaking and 201 Spanish-speaking participants aged 18–80 years | SAHL-S = 0.80 SAHL-E = 0.89 | SAHL-S and SAHLSA: r = 0.88 SAHL-S and TOFHLA: r = 0.62 SAHL-E and REALM: r = 0.94 SAHL-E and TOFHLA: r = 0.68 | Available |
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| James et al. 2012 [ | 9 questions in health literacy, 23 questions on financial literacy Scoring: Percentage correct out of total items (range 0–1) | 525 participants mean age 82.6 years 76% female; 91.2% white | Internal consistency: Cr. α = 0.77 | / | Available |
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| Tsai et al. 2011 [ | 63 items with four sections: health materials, outpatient dialogues, prescription labels, health-related written documents Scoring: (0–30) inadequate health literacy; (31–42) marginal health literacy; (43–50) adequate health literacy | 323 individuals; mean age = 47 years | Internal consistency: Cr. α = 0.95; Split half reliability = 0.95 | Years of schooling r = 0.72 Reading habit r = 0.34 Health knowledge r = 0.55 Reading assistance r = -0.52 | Not available |
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| Wang et al. 2012 [ | Questionnaire of 158 items; 127 questions on 30 competencies for health Scoring: not described | 1255 participants: (652 German-speaking, 303 French-speaking, 300 Italian-speaking) age +15 years | Internal consistency: Cr. α for each factor: Information and decision making α = 0.72, Cognitive and inter-personal skills α =0.81, ICT skills α = 0.77; Health activation α = 0.60 | Correlations: Correlations: Cognitive and interpersonal skills and ICT skills factors = 0.50; Information and decision- making and ICT skills factors = 0.27 | Not available |
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| Chinn et al. 2012 [ | 4 items functional health literacy, 3 items on communicative health literacy, 4 items on critical health literacy, 3 empowerment items Scoring: not described | 146 participants: mean age 38 years, 78% female; 56% Asian, 3% Black, 35% White | Internal consistency: Total items Cr. α = 0.75; Functional items Cr. α = 0.82; Communicative items Cr. α = 0.69; Critical items Cr. α = 0.42 | Correlations: Functional & communicative items r = 0.393; Functional & critical items r = 0.59; Communicative & critical items r = 0.186 | Partly available |
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| Jordan et al. 2013 [ | 8 domains with 29 items; capacity to seek, understand and use health information within the health care setting Scoring: not described | 15 participants: 2 aged 40–49, 1 aged 50–59, 6 aged 60–69, 5 aged 70–79, and 1 aged 80+ years; 80% female | Test-retest: ICC = 0.73-0.96 (5 domains ICC > 0.90); Understanding health information: reliability = 0.73; Cr. α >0.82 for all factors | / | Not available |
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| Massey et al. 2013 [ | Questionnaire, sixth grade reading level; adaption of items from YAHCS, HINTS and eHEALS Scoring: not described | 1208 adolescents: mean age 14.8 years (range 13–17); 62.4% female; 22.1% white, 13.2% black, 33.7% Hispanic, 7.9% Asian | Internal consistency: all but one domain had Cr. α >0.7; overall = 0.834; lowest = 0.64 | Consistency: average inter-item correlations (0.33 to 0.66); discriminability: item-total correlations (0.39 to 0.74) | available |
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| McCormack et al. 2010 [ | 25 item instrument; skills set areas: print, oral, and Internet-based information seeking Scoring: ≥82: Proficient literacy; 70–81: Basic literacy; <70: Below basic literacy | 889 participants; 22% 18–29 years, 25% 30–44 years, 27% 45–59 years, 26% 65+ years; 52% female; 64% white, 13% black, 17% Hispanic | Internal consistency: Cr. α =0.86 | S-TOFHLA and HSLI correlation = 0.47; Sensitivity = 0.71; Specificity = 0.65 | Available |
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| Begoray et al. 2012 [ | Qualitative open-ended questions; Questions on 2 reading passages Scoring: not described | 229 participants; mean age 76 years (range 60–96); 65% female; 64% | Internal consistency: Cr. α =0.852; removal of any of the measures form the analysis reduced Cr. α down to 0.832 | Reading passages scores & correlated REALM scores: spearman´s rho = 0.212; sum scale scores & English as first language rho = 0.228; sum scale scores & age rho = -0.176; education rho = 0.175 household income rho = 0.162 | Partly available |
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| Wu et al. 2010 [ | 11 passages and 47items (30 understand and 17 evaluate items) Scoring: not described | 275 students: 8% male; 69.1% speak a language other than English at home | Internal consistency: understand: Cr. α = 0.88; evaluate: Cr. α = 0.82; overall: Cr. α = 0.92 | bivariate correlations: overall & age r = -0.173overall & gender r = -0.182 overall & GPA: r = 0.475 understand & evaluate: r = 0.80 understand & overall r = 0.97 evaluate & overall r = 0.92 | Not available |
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| McNaughton et al. 2011 [ | SLS: 3 questions, each with a five-point likert response scale SNS: 8 written questions, each on a six-point likert response scale Scoring: not described | 207 patients mean age 46 years (32–59) 55% male | Internal consistency: SLS: Cr. α = 0.74; SNS: Cr. α = 0.82 | spearman´s rank: SLS and STOFHLA = 0.33 SLS and REALM = 0.26 SLS and WRAT4 = 0.26 SLS and educational = 0.25 AU ROC: SLS and STOFHLA AUC = 0.74 SLS and REALM AUC = 0.72 | Not available |
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| Brega et al. 2012 [ | The questionnaire assesses 4 types of knowledge: general diabetes, insulin use, cholesterol, and blood pressure knowledge Scoring: Scores on each test reflect the percentage of items answered correctly | 3,033 participants 5.9% aged 18–34, 15.5% aged 35–44, 28.2% aged 45–54, 30.4% aged 55–64, 20% aged 65+ years; 66.4% female | Internal consistency: PL items Cr. α = 0.67 | / | Available |
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| Bann et al. 2012 [ | 10 item instrument that measures print literay, numeracy, oral literacy, navigation through the internet Scoring: Number of items answered correctly | 889 participants: 22% 18–29 years, 25% 30–44 years, 27% 45–59 years, 26% 60+ years; 52% female; 64% white, 13% black, 17% Hispanic | Internal consistency: Cr. α = 0.70 | Correlation with S-TOFHLA r = 0.36 | Available |
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| HLS-EU Consortium 2012 [ | 47 items; in three domains: health care, disease prevention, health promotion Scoring: Metric between 0-50 | 8102 participants from Germany, Greece, Bulgaria, Ireland, Austria, Spain, Netherlands, Poland | Internal consistency Cr. α: Gen HL = 0.97 HC HL = 0.91 DP HL = 0.91 HP HL = 0.92 | / | Partly available |
*MHLS-50 = Mandarin Health Literacy Scale; HLS-CH = Swiss Health Literacy Survey; AAHLS = All Aspects of Health Literacy Scale; HeLMS = Health Literacy Management Scale.
*MAHL = Multidimensional measure of adolescent health literacy; HLSI = skill-based health literacy instrument.
*SAHL-S&E = Short assessment of health literacy – Spanish and English; SDPI-HH-HL: Special Diabetes Program for Indians Healthy Heart Health Literacy; HLSI-SF = Health Literacy Skills Instruments – Short Form; HLS –EU = Health Literacy Survey for the European Union.
Survey reporting quality of identified studies dealing with the development and/or validation of health literacy indices
| Checklist items | Fully described | Not described | ||
|---|---|---|---|---|
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| Background literature review | 16 | 94,1 | 1 | 5,9 |
| Explicit research question | 16 | 94,1 | 1 | 5,9 |
| Clear Study objectives | 17 | 100,0 | 0 | 0,0 |
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| Methods data analysis | 16 | 94,1 | 1 | 5,9 |
| Questionnaire administration | 14 | 82,4 | 3 | 17,6 |
| Location of data collection | 17 | 100,0 | 0 | 0,0 |
| Dates of data collection | 8 | 47,1 | 9 | 52,9 |
| Methods for replication | 10 | 58,8 | 7 | 41,2 |
| Methods for data entry | 10 | 58,8 | 7 | 41,2 |
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| Sample size calculation | 4 | 23,5 | 13 | 76,5 |
| Representativeness of the sample | 7 | 41,2 | 10 | 58,8 |
| Method of sample selection | 17 | 100,0 | 0 | 0,0 |
| Population and sample frame | 15 | 88,2 | 2 | 11,8 |
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| Description of research tool | 15 | 88,2 | 2 | 11,8 |
| Development of research tool | 16 | 94,1 | 1 | 5,9 |
| Instrument pretesting | 8 | 47,1 | 9 | 52,9 |
| Reliability and validity | 13 | 76,5 | 4 | 23,5 |
| Scoring methods | 6 | 35,3 | 11 | 64,7 |
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| Results of research presented | 17 | 100,0 | 0 | 0,0 |
| Results address objectives | 17 | 100,0 | 0 | 0,0 |
| Generalisability | 5 | 29,4 | 12 | 70,6 |
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| Response rate stated | 11 | 64,7 | 6 | 35,3 |
| Response rate calculated | 7 | 41,2 | 10 | 58,8 |
| Discussion of nonresponse | 3 | 17,6 | 14 | 82,4 |
| Missing data | 6 | 35,3 | 11 | 64,7 |
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| Interpret and discuss findings | 17 | 100,0 | 0 | 0,0 |
| Conclusions and recommendations | 17 | 100,0 | 0 | 0,0 |
| Limitations | 14 | 82,4 | 3 | 17,6 |
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| Consent | 8 | 47,1 | 9 | 52,9 |
| Sponsorship | 8 | 47,1 | 9 | 52,9 |
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| 69,7 | 30,4 | ||