| Literature DB >> 35404831 |
Emma Kainiemi1, Tuulikki Vehko1, Maiju Kyytsönen1, Iiris Hörhammer2, Sari Kujala3, Vesa Jormanainen1, Tarja Heponiemi1.
Abstract
BACKGROUND: In the abnormal circumstances caused by the COVID-19 pandemic, patient portals have supported patient empowerment and engagement by providing patients with access to their health care documents and medical information. However, the potential benefits of patient portals cannot be utilized unless the patients accept and use the services. Disparities in the use of patient portals may exacerbate the already existing inequalities in health care access and health outcomes, possibly increasing the digital inequality in societies.Entities:
Keywords: COVID-19; digital health; digital technology; dissatisfaction; eHealth; epidemiology; national survey; nonuse; patient empowerment; patient portal; population survey
Year: 2022 PMID: 35404831 PMCID: PMC9037616 DOI: 10.2196/37500
Source DB: PubMed Journal: JMIR Med Inform
Sociodemographic characteristics of the weighted study samplea.
| Characteristics | Respondents, n (%) | Nonusers (N=589), n (%) | Dissatisfied users (N=489), n (%) | ||||
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| 20-34 | 918 (23.4) | 144 (24.5) | 120 (24.5) | |||
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| 35-59 | 1773 (45.2) | 286 (48.5) | 234 (48.0) | |||
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| 60-74 | 1008 (25.7) | 129 (21.9) | 107 (21.8) | |||
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| 75-99 | 220 (5.6) | 30 (5.1) | 28 (5.7) | |||
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| Male | 1641 (41.9) | 301 (51.1) | 221 (45.2) | |||
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| Female | 2278 (58.1) | 288 (48.9) | 268 (54.8) | |||
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| Low | 1499 (38.7) | 232 (39.3) | 196 (40.1) | |||
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| Median | 1254 (32.4) | 187 (31.8) | 126 (25.8) | |||
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| High | 1120 (28.9) | 170 (28.9) | 167 (34.1) | |||
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| Urban | 2918 (74.5) | 427 (72.5) | 373 (76.4) | |||
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| Semiurban | 536 (13.7) | 78 (13.3) | 64 (13.1) | |||
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| Rural | 465 (11.9) | 84 (14.2) | 52 (10.6) | |||
aInverse probability weighting (IPW)-corrected.
Variables related to digital skills and attitudes of the weighted study samplea.
| Characteristics | Respondents, n (%) | Nonusers (N=589), n (%) | Dissatisfied users (N=489), n (%) | |
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| Poor | 199 (5.1) | 48 (8.2) | 25 (5.1) |
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| Good | 3698 (94.9) | 541 (91.8) | 464 (94.9) |
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| Yes | 1840 (47.0) | 252 (42.8) | 181 (37.1) |
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| No | 2079 (53.0) | 337 (57.2) | 308 (62.9) |
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| Yes or N/Ab | 1923 (50.3) | 323 (54.9) | 312 (63.9) |
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| No | 1900 (49.7) | 266 (45.1) | 177 (36.1) |
aInverse probability weighting (IPW)-corrected.
bN/A: not applicable.
Results of univariate logistic regression analyses for the nonuse of My Kantaa,b.
| Univariate analyses characteristicsc | ORd (95% CI) | |||
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| Age (years) | 0.84 (0.61-1.16) | .17 | |
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| Gender (male) | 1.61 (1.21-2.12) | .001 | |
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| Low educational level | 1.03 (0.73-1.46) | .85 | |
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| Median educational level | 1.01 (0.71-1.42) | .99 | |
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| High educational level | Reference | N/Af | |
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| Urban | Reference | N/A | |
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| Semiurban | 1.03 (0.70-1.52) | .87 | |
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| Rural | 1.34 (0.93-1.92) | .12 | |
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| Self-rated health (good) | 1.75 (1.25-2.45) | .001 | |
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| Long-term illness (no) | 3.24 (2.41-4.36) | <.001 | |
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| Use of health care services (low or average) | 6.75 (2.49-18.31) | <.001 | |
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| Referral to electronic services (no) | 2.43 (1.70-3.49) | <.001 | |
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| Need for guidance (yes) | 2.09 (1.44-3.05) | <.001 | |
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| Digital skills (poor) | 2.37 (1.50-3.76) | <.001 | |
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| Perceived benefits (no) | 1.25 (0.94-1.67) | .13 | |
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| Security concerns (yes) | 1.25 (0.94-1.67) | .13 | |
aInverse probability weighting (IPW)-corrected.
bThe model included the main effect of each variable adjusted for age, gender, and education.
cReference categories indicated in parentheses: gender: male vs female; self-rated health: good vs average or poor; long-term illness: no vs yes; use of health care services: low or average vs high; referral to electronic services: no vs yes; need for guidance: yes vs no; digital skills: poor vs good; perceived benefits: no vs yes; security concerns: yes vs no.
dOR: odds ratio.
eSignificance level of P<.10.
fN/A: not applicable.
Results of the fully adjusted logistic regression analysis for the nonuse of My Kanta (N=2328)a.
| Multivariable model characteristicsb | ORc (95% CI) | ||||
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| Female | Reference | N/Ae | ||
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| Male | 1.67 (1.19–2.42) | .003 | ||
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| Average or poor | Reference | N/A | ||
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| Good | 1.48 (0.95–2.31) | .08 | ||
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| Yes | Reference | N/A | ||
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| No | 2.14 (1.48–3.10) | <.001 | ||
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| High | Reference | N/A | ||
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| Low or average | 4.66 (1.29–16.84) | .02 | ||
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| Yes | Reference | N/A | ||
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| No | 2.51 (1.70–3.71) | <.001 | ||
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| Good | Reference | N/A | ||
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| Poor | 2.53 (1.32–4.83) | .01 | ||
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| No | Reference | N/A | ||
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| Yes | 2.26 (1.41–3.65) | <.001 | ||
aInverse probability weighting (IPW)-corrected.
bThe model included all the independent variables with a P value of <.10 in the univariate model adjusted for age, gender, and education.
cOR: odds ratio.
dSignificance level of P<.05.
eN/A: not applicable.
Results of univariate logistic regression analyses for dissatisfaction with My Kantaa,b.
| Univariate analyses characteristicsc | ORd (95% CI) | |||
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| Age (years) | 0.99 (0.99–1.01) | .33 | |
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| Gender (male) | 1.31 (0.95–1.82) | .09 | |
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| Low educational level | Reference | N/Af | |
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| Median educational level | 0.72 (0.49–1.06) | .09 | |
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| High educational level | 1.11 (0.76–1.62) | .58 | |
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| Rural | Reference | N/A | |
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| Semiurban | 1.04 (0.60–1.79) | .89 | |
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| Urban | 1.08 (0.72–1.61) | .72 | |
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| Self-rated health (average or poor) | 2.45 (1.79–3.36) | <.001 | |
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| Long-term illness (yes) | 1.34 (0.95–1.88) | .09 | |
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| Use of health care services (high) | 1.29 (0.76–2.21) | .35 | |
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| Referral to electronic services (no) | 1.17 (0.82–1.67) | .38 | |
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| Need for guidance (yes) | 2.98 (1.83–4.85) | <.001 | |
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| Digital skills (poor) | 1.63 (0.88–3.03) | .12 | |
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| Perceived benefits (no) | 1.79 (1.30–2.47) | <.001 | |
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| Security concerns (yes) | 2.24 (1.61–3.13) | <.001 | |
aInverse probability weighting (IPW)-corrected.
bThe model included the main effect of each variable adjusted for age, gender, and education.
cReference categories indicated in the parentheses: gender: male vs female; self-rated health: average or poor vs good; long-term illness: yes vs no; use of health care services: high vs average or low; referral to electronic services: no vs yes; need for guidance: yes vs no; digital skills: poor vs good; perceived benefits: no vs yes; security concerns: yes vs no.
dOR: odds ratio.
eSignificance level of P<.10.
fN/A: not applicable.
Results of the fully adjusted logistic regression analysis for dissatisfaction with My Kanta (N=2341)a.
| Multivariable model characteristicsb | ORc (95% CI) | ||||
| Age | 0.99 (0.98–1.00) | .002 | |||
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| Female | Reference | N/Ae | ||
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| Male | 1.40 (1.00–1.94) | .05 | ||
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| Low | Reference | N/A | ||
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| High | 1.48 1.02–2.16 () | .04 | ||
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| Good | Reference | N/A | ||
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| Average or poor | 2.10 (1.51–2.93) | <.001 | ||
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| No | Reference | N/A | ||
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| Yes | 1.02 (0.71–1.45) | .92 | ||
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| Yes | Reference | N/A | ||
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| No | 1.52 (1.09–2.11) | .01 | ||
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| No | Reference | N/A | ||
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| Yes | 1.87 (1.33–2.62) | <.001 | ||
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| No | Reference | N/A | ||
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| Yes | 2.14 (1.33–3.46) | .002 | ||
aInverse probability weighting (IPW)-corrected.
bThe model included all the independent variables with a P value of <.10 in the model adjusted for age, gender, and education.
cOR: odds ratio.
dSignificance level of P<.05.
eN/A: not applicable.
Health and service use by the weighted study samplea.
| Characteristics | Respondents, n (%) | Nonusers (N=589), n (%) | Dissatisfied users (N=489), n (%) | |
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| Average or poor | 1251 (32.1) | 133 (22.6) | 245 (50.2) |
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| Good | 2642 (67.9) | 456 (77.4) | 244 (49.8) |
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| Yes | 2165 (56.1) | 191 (32.4) | 319 (65.2) |
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| No | 1692 (43.9) | 398 (67.6) | 170 (34.8) |
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| Low or average | 3516 (91.7) | 580 (98.5) | 435 (89.0) |
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| High | 319 (8.3) | 9 (1.5) | 54 (11.0) |
aInverse probability weighting (IPW)-corrected.
Experiences of guidance concerning electronic services for the weighted study samplea.
| Characteristics | Respondents, n (%) | Nonusers (N=589), n (%) | Dissatisfied users (N=489), n (%) | |
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| Yes | 1386 (43.8) | 154 (26.2) | 216 (44.1) |
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| No | 1780 (56.2) | 435 (73.8) | 273 (55.9) |
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| Yes | 379 (9.9) | 86 (14.6) | 74 (15.1) |
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| No | 3454 (90.1) | 503 (85.4) | 415 (84.9) |
aInverse probability weighting (IPW)-corrected.