Characteristics . | Total Sample (n = 32) . | Focus Group . | ||
---|---|---|---|---|
Prenatal (n = 16) . | Postnatal (n = 16) . | P-valueb . | ||
Age (years), mean (SD) | 31.9 (4.3) | 31.3 (3.0) | 32.6 (5.3) | NS |
Race | NS | |||
White | 21 (65.6%) | 11 (68.8%) | 10 (62.5%) | |
Black/African American | 8 (25.0%) | 4 (25.0%) | 4 (25.0%) | |
Other | 3 (9.4%) | 1 (6.3%) | 2 (12.6%) | |
Hispanic | 2 (6.3%) | – | 2 (12.5%) | NS |
Education | NS | |||
High school | – | – | – | |
Trade/tech certification | 1 (3.1%) | 1 (6.3%) | – | |
Some college | 5 (15.6%) | 3 (18.8%) | 2 (12.5%) | |
2-year degree | 3 (9.4%) | 2 (12.5%) | 1 (6.3%) | |
4-year degree | 15 (46.9%) | 5 (31.3%) | 10 (62.5%) | |
Grad/professional degree | 8 (25.0%) | 5 (31.3%) | 3 (18.8%) | |
Employment status | NS | |||
Not working | 6 (18.8%) | 3 (18.8%) | 3 (18.8%) | |
Working | 26 (81.3%) | 13 (81.3%) | 13 (81.3%) | |
Part time | 6 (18.8%) | 4 (25.0%) | 2 (12.5%) | |
Full time | 20 (62.5%) | 9 (56.3%) | 11 (68.8%) | |
Household income | NS | |||
<$25K | 1 (3.1%) | 1 (6.3%) | – | |
$25 001-$50K | 2 (6.3%) | – | 2 (12.5%) | |
$50 001-$75K | 6 (18.8%) | 3 (18.75%) | 3 (18.8%) | |
$75 001-$100K | 6 (18.8%) | 4 (25.0%) | 2 (12.5%) | |
$100 001-$150K | 11 (34.4%) | 4 (25.0%) | 7 (43.8%) | |
>$150K | 6 (18.8%) | 4 (25.0%) | 2 (12.5%) | |
Marital status | ||||
Single/not married | 3 (9.4%) | – | 3 (18.8%) | NS |
Married | 29 (90.6%) | 16 (100.0%) | 13 (81.3%) | |
Comfort in technology,a mean (SD) | 4.9 (0.3) | 4.87 (0.4) | 4.94 (0.3) | NS |
Frequency of PP use | <.01 | |||
Yearly or less | – | – | – | |
Couple times a year | 3 (9.4%) | – | 3 (18.8%) | |
Monthly | 15 (46.9%) | 5 (31.3%) | 10 (62.5%) | |
Weekly | 13 (40.6%) | 10 (62.5%) | 3 (18.8%) | |
PP use | ||||
To pay medical bills | 21 (65.6%) | 10 (62.5%) | 11 (68.8%) | NS |
To view appointment notes | 30 (93.8%) | 15 (93.8%) | 15 (93.8%) | NS |
To communicate with providers | 27 (84.4%) | 12 (75.0%) | 15 (93.8%) | NS |
To schedule appointments | 19 (59.4%) | 8 (50.0%) | 11 (68.8%) | NS |
To request prescription refills | 14 (43.8%) | 7 (43.8%) | 7 (43.8%) | NS |
Other | 1 (3.1%) | – | 1 (6.3%) | NS |
PP device | ||||
PP app | 7 (21.9%) | 4 (25.0%) | 3 (18.8%) | NS |
Phone | 11 (34.4%) | 8 (50.00%) | 3 (18.8%) | <.05 |
Laptop or desktop | 20 (62.5%) | 7 (43.8%) | 13 (81.3%) | <.05 |
Other | – | – | – |
Characteristics . | Total Sample (n = 32) . | Focus Group . | ||
---|---|---|---|---|
Prenatal (n = 16) . | Postnatal (n = 16) . | P-valueb . | ||
Age (years), mean (SD) | 31.9 (4.3) | 31.3 (3.0) | 32.6 (5.3) | NS |
Race | NS | |||
White | 21 (65.6%) | 11 (68.8%) | 10 (62.5%) | |
Black/African American | 8 (25.0%) | 4 (25.0%) | 4 (25.0%) | |
Other | 3 (9.4%) | 1 (6.3%) | 2 (12.6%) | |
Hispanic | 2 (6.3%) | – | 2 (12.5%) | NS |
Education | NS | |||
High school | – | – | – | |
Trade/tech certification | 1 (3.1%) | 1 (6.3%) | – | |
Some college | 5 (15.6%) | 3 (18.8%) | 2 (12.5%) | |
2-year degree | 3 (9.4%) | 2 (12.5%) | 1 (6.3%) | |
4-year degree | 15 (46.9%) | 5 (31.3%) | 10 (62.5%) | |
Grad/professional degree | 8 (25.0%) | 5 (31.3%) | 3 (18.8%) | |
Employment status | NS | |||
Not working | 6 (18.8%) | 3 (18.8%) | 3 (18.8%) | |
Working | 26 (81.3%) | 13 (81.3%) | 13 (81.3%) | |
Part time | 6 (18.8%) | 4 (25.0%) | 2 (12.5%) | |
Full time | 20 (62.5%) | 9 (56.3%) | 11 (68.8%) | |
Household income | NS | |||
<$25K | 1 (3.1%) | 1 (6.3%) | – | |
$25 001-$50K | 2 (6.3%) | – | 2 (12.5%) | |
$50 001-$75K | 6 (18.8%) | 3 (18.75%) | 3 (18.8%) | |
$75 001-$100K | 6 (18.8%) | 4 (25.0%) | 2 (12.5%) | |
$100 001-$150K | 11 (34.4%) | 4 (25.0%) | 7 (43.8%) | |
>$150K | 6 (18.8%) | 4 (25.0%) | 2 (12.5%) | |
Marital status | ||||
Single/not married | 3 (9.4%) | – | 3 (18.8%) | NS |
Married | 29 (90.6%) | 16 (100.0%) | 13 (81.3%) | |
Comfort in technology,a mean (SD) | 4.9 (0.3) | 4.87 (0.4) | 4.94 (0.3) | NS |
Frequency of PP use | <.01 | |||
Yearly or less | – | – | – | |
Couple times a year | 3 (9.4%) | – | 3 (18.8%) | |
Monthly | 15 (46.9%) | 5 (31.3%) | 10 (62.5%) | |
Weekly | 13 (40.6%) | 10 (62.5%) | 3 (18.8%) | |
PP use | ||||
To pay medical bills | 21 (65.6%) | 10 (62.5%) | 11 (68.8%) | NS |
To view appointment notes | 30 (93.8%) | 15 (93.8%) | 15 (93.8%) | NS |
To communicate with providers | 27 (84.4%) | 12 (75.0%) | 15 (93.8%) | NS |
To schedule appointments | 19 (59.4%) | 8 (50.0%) | 11 (68.8%) | NS |
To request prescription refills | 14 (43.8%) | 7 (43.8%) | 7 (43.8%) | NS |
Other | 1 (3.1%) | – | 1 (6.3%) | NS |
PP device | ||||
PP app | 7 (21.9%) | 4 (25.0%) | 3 (18.8%) | NS |
Phone | 11 (34.4%) | 8 (50.00%) | 3 (18.8%) | <.05 |
Laptop or desktop | 20 (62.5%) | 7 (43.8%) | 13 (81.3%) | <.05 |
Other | – | – | – |
Abbreviations: NS, non-significant; SD, standard deviation.
5-point Likert scale: 1 = Not at all, 2 = A little bit, 3 = Somewhat, 4 = Quite a bit, 5 = Extremely.
Statistical significance of P < .05 was conducted using a 2-sided, Wilcoxon Rank Sum Exact test for continuous/ordinal data and Fisher’s Exact test for categorical data.
Characteristics . | Total Sample (n = 32) . | Focus Group . | ||
---|---|---|---|---|
Prenatal (n = 16) . | Postnatal (n = 16) . | P-valueb . | ||
Age (years), mean (SD) | 31.9 (4.3) | 31.3 (3.0) | 32.6 (5.3) | NS |
Race | NS | |||
White | 21 (65.6%) | 11 (68.8%) | 10 (62.5%) | |
Black/African American | 8 (25.0%) | 4 (25.0%) | 4 (25.0%) | |
Other | 3 (9.4%) | 1 (6.3%) | 2 (12.6%) | |
Hispanic | 2 (6.3%) | – | 2 (12.5%) | NS |
Education | NS | |||
High school | – | – | – | |
Trade/tech certification | 1 (3.1%) | 1 (6.3%) | – | |
Some college | 5 (15.6%) | 3 (18.8%) | 2 (12.5%) | |
2-year degree | 3 (9.4%) | 2 (12.5%) | 1 (6.3%) | |
4-year degree | 15 (46.9%) | 5 (31.3%) | 10 (62.5%) | |
Grad/professional degree | 8 (25.0%) | 5 (31.3%) | 3 (18.8%) | |
Employment status | NS | |||
Not working | 6 (18.8%) | 3 (18.8%) | 3 (18.8%) | |
Working | 26 (81.3%) | 13 (81.3%) | 13 (81.3%) | |
Part time | 6 (18.8%) | 4 (25.0%) | 2 (12.5%) | |
Full time | 20 (62.5%) | 9 (56.3%) | 11 (68.8%) | |
Household income | NS | |||
<$25K | 1 (3.1%) | 1 (6.3%) | – | |
$25 001-$50K | 2 (6.3%) | – | 2 (12.5%) | |
$50 001-$75K | 6 (18.8%) | 3 (18.75%) | 3 (18.8%) | |
$75 001-$100K | 6 (18.8%) | 4 (25.0%) | 2 (12.5%) | |
$100 001-$150K | 11 (34.4%) | 4 (25.0%) | 7 (43.8%) | |
>$150K | 6 (18.8%) | 4 (25.0%) | 2 (12.5%) | |
Marital status | ||||
Single/not married | 3 (9.4%) | – | 3 (18.8%) | NS |
Married | 29 (90.6%) | 16 (100.0%) | 13 (81.3%) | |
Comfort in technology,a mean (SD) | 4.9 (0.3) | 4.87 (0.4) | 4.94 (0.3) | NS |
Frequency of PP use | <.01 | |||
Yearly or less | – | – | – | |
Couple times a year | 3 (9.4%) | – | 3 (18.8%) | |
Monthly | 15 (46.9%) | 5 (31.3%) | 10 (62.5%) | |
Weekly | 13 (40.6%) | 10 (62.5%) | 3 (18.8%) | |
PP use | ||||
To pay medical bills | 21 (65.6%) | 10 (62.5%) | 11 (68.8%) | NS |
To view appointment notes | 30 (93.8%) | 15 (93.8%) | 15 (93.8%) | NS |
To communicate with providers | 27 (84.4%) | 12 (75.0%) | 15 (93.8%) | NS |
To schedule appointments | 19 (59.4%) | 8 (50.0%) | 11 (68.8%) | NS |
To request prescription refills | 14 (43.8%) | 7 (43.8%) | 7 (43.8%) | NS |
Other | 1 (3.1%) | – | 1 (6.3%) | NS |
PP device | ||||
PP app | 7 (21.9%) | 4 (25.0%) | 3 (18.8%) | NS |
Phone | 11 (34.4%) | 8 (50.00%) | 3 (18.8%) | <.05 |
Laptop or desktop | 20 (62.5%) | 7 (43.8%) | 13 (81.3%) | <.05 |
Other | – | – | – |
Characteristics . | Total Sample (n = 32) . | Focus Group . | ||
---|---|---|---|---|
Prenatal (n = 16) . | Postnatal (n = 16) . | P-valueb . | ||
Age (years), mean (SD) | 31.9 (4.3) | 31.3 (3.0) | 32.6 (5.3) | NS |
Race | NS | |||
White | 21 (65.6%) | 11 (68.8%) | 10 (62.5%) | |
Black/African American | 8 (25.0%) | 4 (25.0%) | 4 (25.0%) | |
Other | 3 (9.4%) | 1 (6.3%) | 2 (12.6%) | |
Hispanic | 2 (6.3%) | – | 2 (12.5%) | NS |
Education | NS | |||
High school | – | – | – | |
Trade/tech certification | 1 (3.1%) | 1 (6.3%) | – | |
Some college | 5 (15.6%) | 3 (18.8%) | 2 (12.5%) | |
2-year degree | 3 (9.4%) | 2 (12.5%) | 1 (6.3%) | |
4-year degree | 15 (46.9%) | 5 (31.3%) | 10 (62.5%) | |
Grad/professional degree | 8 (25.0%) | 5 (31.3%) | 3 (18.8%) | |
Employment status | NS | |||
Not working | 6 (18.8%) | 3 (18.8%) | 3 (18.8%) | |
Working | 26 (81.3%) | 13 (81.3%) | 13 (81.3%) | |
Part time | 6 (18.8%) | 4 (25.0%) | 2 (12.5%) | |
Full time | 20 (62.5%) | 9 (56.3%) | 11 (68.8%) | |
Household income | NS | |||
<$25K | 1 (3.1%) | 1 (6.3%) | – | |
$25 001-$50K | 2 (6.3%) | – | 2 (12.5%) | |
$50 001-$75K | 6 (18.8%) | 3 (18.75%) | 3 (18.8%) | |
$75 001-$100K | 6 (18.8%) | 4 (25.0%) | 2 (12.5%) | |
$100 001-$150K | 11 (34.4%) | 4 (25.0%) | 7 (43.8%) | |
>$150K | 6 (18.8%) | 4 (25.0%) | 2 (12.5%) | |
Marital status | ||||
Single/not married | 3 (9.4%) | – | 3 (18.8%) | NS |
Married | 29 (90.6%) | 16 (100.0%) | 13 (81.3%) | |
Comfort in technology,a mean (SD) | 4.9 (0.3) | 4.87 (0.4) | 4.94 (0.3) | NS |
Frequency of PP use | <.01 | |||
Yearly or less | – | – | – | |
Couple times a year | 3 (9.4%) | – | 3 (18.8%) | |
Monthly | 15 (46.9%) | 5 (31.3%) | 10 (62.5%) | |
Weekly | 13 (40.6%) | 10 (62.5%) | 3 (18.8%) | |
PP use | ||||
To pay medical bills | 21 (65.6%) | 10 (62.5%) | 11 (68.8%) | NS |
To view appointment notes | 30 (93.8%) | 15 (93.8%) | 15 (93.8%) | NS |
To communicate with providers | 27 (84.4%) | 12 (75.0%) | 15 (93.8%) | NS |
To schedule appointments | 19 (59.4%) | 8 (50.0%) | 11 (68.8%) | NS |
To request prescription refills | 14 (43.8%) | 7 (43.8%) | 7 (43.8%) | NS |
Other | 1 (3.1%) | – | 1 (6.3%) | NS |
PP device | ||||
PP app | 7 (21.9%) | 4 (25.0%) | 3 (18.8%) | NS |
Phone | 11 (34.4%) | 8 (50.00%) | 3 (18.8%) | <.05 |
Laptop or desktop | 20 (62.5%) | 7 (43.8%) | 13 (81.3%) | <.05 |
Other | – | – | – |
Abbreviations: NS, non-significant; SD, standard deviation.
5-point Likert scale: 1 = Not at all, 2 = A little bit, 3 = Somewhat, 4 = Quite a bit, 5 = Extremely.
Statistical significance of P < .05 was conducted using a 2-sided, Wilcoxon Rank Sum Exact test for continuous/ordinal data and Fisher’s Exact test for categorical data.
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