From: Association between health literacy and mortality: a systematic review and meta-analysis
Author | Location | Design | Study population | Sample size | Sex (% male) | Death | HL instrument | low HL | Study conclusion | Adjusted | NOS score |
---|---|---|---|---|---|---|---|---|---|---|---|
Baker et al. 2008 [24] | USA | prospective cohort | Elderly | 3260 | 1388 (42.6%) | 815 | S-TOFHLA | 1166 | HR: 1.25 95%CI: 0.86–1.82 | age, sex, race, education, income, language, SF-36 physical functioning, mental health component scores, number of chronic diseases, number of impairments in activities of daily living, number of impairments in instrumental activities of daily living, city of enrollment | 9 |
Bostock et al. 2012 [34] | UK | retrospective cohort | Elderly | 7857 | 3515 (44.7%) | 621 | 4-item test | 2579 | HR: 1.15 95%CI: 0.79–1.67 | age, sex, race, education, wealth, occupation, health status (limiting illness, limited activities of daily living, depressive symptoms, self reported doctor diagnosed disease: heart disease, diabetes, stroke, cancer, asthma, chronic lung disease), health behaviors (smoking, exercise, alcohol consumption), cognitive (orientation in time, immediate recall of word list, fluency in an animal naming task) | 12 |
Cavanaugh et al. 2010 [25] | USA | prospective cohort | Hemodialysis patients | 480 | 269 (56.0%) | 103 | REALM | 154 | HR: 1.51 95%CI: 0.99–2.30 | age, sex, race, diabetes status, baseline serum albumin. | 11 |
Fabbri et al. 2018 [26] | USA | prospective cohort | HF | 2487 | 1333 (53.6%) | 250 | BHLS | 261 | HR: 1.91 95%CI: 1.38–2.65 | age, sex, education, marital status, CCI | 12 |
Fawns-Ritchie et al. 2018 [27] | UK | prospective cohort | Elderly | 795 | 336 (42.3%) | 130 | S-TOFHLA、NVS REALM General functional health literacy | 38 ± 3.85 score | HR: 1.00 95%CI: 0.95–1.05 | age, sex, education, age-11 IQ, current fluid ability in older age, occupational class, health status | 10 |
Ferri-Guerra et al. 2020 [35] | USA | retrospective cohort | Veterans | 470 | 470 (100%) | 63 | NVS | 258 | HR: 1.08 95%CI: 0.95–1.22 | age, race, educational, median household income, CCI, hospitalizations in the previous year | 12 |
León-González et al. 2018 [17] | Spain | prospective cohort | HF | 556 | 210 (37.5%) | 189 | SAHLSA | 370 | HR: 1.05 95%CI: 0.65–1.68 | age, sex, education, treatment group (intervention, no intervention), hospital, NYHA, LVEF, atrial fibrillation, serum hemoglobin, serum creatinine, depression, CCI, Katz index, Mini-Mental State Examination, hospitalization for HF in last year, HF knowledge score, HF self-care score. | 11 |
Mayberry et al. 2018 [28] | USA | prospective cohort | CVD | 2977 | 1602 (53.8%) | 304 | BHLS S-TOFHLA、SNS-3 | 506 | OR: 1.31 95%CI: 1.01–1.69 | age, sex, race, socioeconomic status (employed, disabled, financial strain, income, underinsured) | 9 |
McNaughton et al. 2015 [16] | USA | retrospective cohort | HF | 1379 | 813 (59.0%) | 403 | BHLS | 324 | HR: 1.32 95%CI: 1.05–1.66 | age, sex, race, education, insurance, index hospitalization length of stay, disease severity | 10 |
Metin et al. 2019 [36] | Turkey | retrospective cohort | Palliative care patients | 242 | – | 147 | HLS-EU | 195 | HR: 1.44 95%CI: 0.90–2.32 | age, height, weight, tracheostomy presence, triceps circumference, food intake status of the patients | 10 |
Peterson et al. 2011 [37] | USA | retrospective cohort | HF | 1494 | 699 (46.8%) | 124 | BHLS | 262 | HR: 1.04 95%CI: 0.79–1.37 | age, sex, race, education, socioeconomic status, self-reported physical function, residential status (independent vs. nursing facility or hospice care), serum creatinine, LVEF, year of cohort entry | 11 |
Smith et al. 2018 [38] | UK | retrospective cohort | Elderly | 7731 | 3460 (44.8%) | 1259 | 4-item test | 959 | HR: 1.22 95%CI: 1.03–1.46 | age, sex, race, education, occupational class, wealth quintile, health status (limiting illness, functional impairment, depressive, self-reported doctor-diagnosed disease: heart disease, diabetes, cancer, stroke, asthma, chronic lung disease), health behaviors (smoke, exercise,alcohol consumption), cognitive (time orientation, recall of word list, fluency on an animal naming task), social isolation | 10 |
Stewart et al. 2020 [29] | USA | prospective cohort | Elderly | 931 | 158 (17.0%) | 224 | 9-item instrument | 65.8% correct | HR: 1.01 95%CI: 1.00–1.02 | age, sex, education, income, lower total, health, financial literacy, medical conditions, physical activity, depressive symptoms, cognitive | 11 |
Sudore et al. 2006 [30] | USA | prospective cohort | Elderly | 2512 | 1225 (48.8%) | 320 | REALM | 595 | HR: 1.75 95%CI: 1.27–2.41 | age, sex, race, education, income, health status (self-rated health, cardiac disease, stoke, cancer, hypertension, diabetes, obesity), health behaviors (smoke, alcohol consumption), health care access measures, psychosocial status | 9 |
Taylor et al. 2019 [31] | UK | prospective cohort | CKD | 2274 | 1474 (64.8%) | 338 | BHLS | 364 | HR: 1.05 95%CI: 0.73–1.49 | age, sex, race, education, language, primary renal diagnosis, CCI, car ownership | 9 |
Warsame et al. 2019 [32] | USA | prospective cohort | KT | 1578 | 1205 (76.4%) | 54 | BHLS | 140 | HR: 2.42 95%CI: 1.16–5.05 | age, sex, race, cause of end-stage renal disease, blood type | 9 |
Wolf et al. 2010 [39] | USA | retrospective cohort | Elderly | 2956 | – | 417 | S-TOFHLA | 643 | HR: 1.95 95%CI: 1.37–2.77 | age, sex, race, education, income, occupational class, number of chronic conditions, physical functioning, activity limitations, mental health | 12 |
Wu et al. 2013 [33] | USA | prospective cohort | HF | 595 | 309 (51.9%) | 16 | S-TOFHLA | 220 | RR: 1.31 95%CI: 1.06–1.63 | age, sex, race, education,income, site, insurance, systolic blood pressure, systolic dysfunction, NYHA, diabetes, hypertension, atrial fibrillation, history of CVD (MI or angina), beta-blocker use, HF symptoms, HF general knowledge, salt knowledge, self-efficacy, self-care behaviors HF | 12 |
Wu et al. 2016 [40] | USA | retrospective cohort | HF | 575 | 341 (59.3%) | 63 | S-TOFHLA | 206 | HR: 1.80 95%CI: 1.29–2.50 | age, sex, race, income, marital status, employed, LVEF, NYHA, BNP, ACEI user, beta-blocker user, intervention group | 10 |