Table 1.

Participant demographics.

CharacteristicsTotal 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
RaceNS
 White21 (65.6%)11 (68.8%)10 (62.5%)
 Black/African American8 (25.0%)4 (25.0%)4 (25.0%)
 Other3 (9.4%)1 (6.3%)2 (12.6%)
Hispanic2 (6.3%)2 (12.5%)NS
EducationNS
 High school
 Trade/tech certification1 (3.1%)1 (6.3%)
 Some college5 (15.6%)3 (18.8%)2 (12.5%)
 2-year degree3 (9.4%)2 (12.5%)1 (6.3%)
 4-year degree15 (46.9%)5 (31.3%)10 (62.5%)
 Grad/professional degree8 (25.0%)5 (31.3%)3 (18.8%)
Employment statusNS
 Not working6 (18.8%)3 (18.8%)3 (18.8%)
 Working26 (81.3%)13 (81.3%)13 (81.3%)
  Part time6 (18.8%)4 (25.0%)2 (12.5%)
  Full time20 (62.5%)9 (56.3%)11 (68.8%)
Household incomeNS
 <$25K1 (3.1%)1 (6.3%)
 $25 001-$50K2 (6.3%)2 (12.5%)
 $50 001-$75K6 (18.8%)3 (18.75%)3 (18.8%)
 $75 001-$100K6 (18.8%)4 (25.0%)2 (12.5%)
 $100 001-$150K11 (34.4%)4 (25.0%)7 (43.8%)
 >$150K6 (18.8%)4 (25.0%)2 (12.5%)
Marital status
 Single/not married3 (9.4%)3 (18.8%)NS
 Married29 (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 year3 (9.4%)3 (18.8%)
 Monthly15 (46.9%)5 (31.3%)10 (62.5%)
 Weekly13 (40.6%)10 (62.5%)3 (18.8%)
PP use
 To pay medical bills21 (65.6%)10 (62.5%)11 (68.8%)NS
 To view appointment notes30 (93.8%)15 (93.8%)15 (93.8%)NS
 To communicate with providers27 (84.4%)12 (75.0%)15 (93.8%)NS
 To schedule appointments19 (59.4%)8 (50.0%)11 (68.8%)NS
 To request prescription refills14 (43.8%)7 (43.8%)7 (43.8%)NS
 Other1 (3.1%)1 (6.3%)NS
PP device
 PP app7 (21.9%)4 (25.0%)3 (18.8%)NS
 Phone11 (34.4%)8 (50.00%)3 (18.8%)<.05
 Laptop or desktop20 (62.5%)7 (43.8%)13 (81.3%)<.05
 Other
CharacteristicsTotal 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
RaceNS
 White21 (65.6%)11 (68.8%)10 (62.5%)
 Black/African American8 (25.0%)4 (25.0%)4 (25.0%)
 Other3 (9.4%)1 (6.3%)2 (12.6%)
Hispanic2 (6.3%)2 (12.5%)NS
EducationNS
 High school
 Trade/tech certification1 (3.1%)1 (6.3%)
 Some college5 (15.6%)3 (18.8%)2 (12.5%)
 2-year degree3 (9.4%)2 (12.5%)1 (6.3%)
 4-year degree15 (46.9%)5 (31.3%)10 (62.5%)
 Grad/professional degree8 (25.0%)5 (31.3%)3 (18.8%)
Employment statusNS
 Not working6 (18.8%)3 (18.8%)3 (18.8%)
 Working26 (81.3%)13 (81.3%)13 (81.3%)
  Part time6 (18.8%)4 (25.0%)2 (12.5%)
  Full time20 (62.5%)9 (56.3%)11 (68.8%)
Household incomeNS
 <$25K1 (3.1%)1 (6.3%)
 $25 001-$50K2 (6.3%)2 (12.5%)
 $50 001-$75K6 (18.8%)3 (18.75%)3 (18.8%)
 $75 001-$100K6 (18.8%)4 (25.0%)2 (12.5%)
 $100 001-$150K11 (34.4%)4 (25.0%)7 (43.8%)
 >$150K6 (18.8%)4 (25.0%)2 (12.5%)
Marital status
 Single/not married3 (9.4%)3 (18.8%)NS
 Married29 (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 year3 (9.4%)3 (18.8%)
 Monthly15 (46.9%)5 (31.3%)10 (62.5%)
 Weekly13 (40.6%)10 (62.5%)3 (18.8%)
PP use
 To pay medical bills21 (65.6%)10 (62.5%)11 (68.8%)NS
 To view appointment notes30 (93.8%)15 (93.8%)15 (93.8%)NS
 To communicate with providers27 (84.4%)12 (75.0%)15 (93.8%)NS
 To schedule appointments19 (59.4%)8 (50.0%)11 (68.8%)NS
 To request prescription refills14 (43.8%)7 (43.8%)7 (43.8%)NS
 Other1 (3.1%)1 (6.3%)NS
PP device
 PP app7 (21.9%)4 (25.0%)3 (18.8%)NS
 Phone11 (34.4%)8 (50.00%)3 (18.8%)<.05
 Laptop or desktop20 (62.5%)7 (43.8%)13 (81.3%)<.05
 Other

Abbreviations: NS, non-significant; SD, standard deviation.

a

5-point Likert scale: 1 = Not at all, 2 = A little bit, 3 = Somewhat, 4 = Quite a bit, 5 = Extremely.

b

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.

Table 1.

Participant demographics.

CharacteristicsTotal 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
RaceNS
 White21 (65.6%)11 (68.8%)10 (62.5%)
 Black/African American8 (25.0%)4 (25.0%)4 (25.0%)
 Other3 (9.4%)1 (6.3%)2 (12.6%)
Hispanic2 (6.3%)2 (12.5%)NS
EducationNS
 High school
 Trade/tech certification1 (3.1%)1 (6.3%)
 Some college5 (15.6%)3 (18.8%)2 (12.5%)
 2-year degree3 (9.4%)2 (12.5%)1 (6.3%)
 4-year degree15 (46.9%)5 (31.3%)10 (62.5%)
 Grad/professional degree8 (25.0%)5 (31.3%)3 (18.8%)
Employment statusNS
 Not working6 (18.8%)3 (18.8%)3 (18.8%)
 Working26 (81.3%)13 (81.3%)13 (81.3%)
  Part time6 (18.8%)4 (25.0%)2 (12.5%)
  Full time20 (62.5%)9 (56.3%)11 (68.8%)
Household incomeNS
 <$25K1 (3.1%)1 (6.3%)
 $25 001-$50K2 (6.3%)2 (12.5%)
 $50 001-$75K6 (18.8%)3 (18.75%)3 (18.8%)
 $75 001-$100K6 (18.8%)4 (25.0%)2 (12.5%)
 $100 001-$150K11 (34.4%)4 (25.0%)7 (43.8%)
 >$150K6 (18.8%)4 (25.0%)2 (12.5%)
Marital status
 Single/not married3 (9.4%)3 (18.8%)NS
 Married29 (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 year3 (9.4%)3 (18.8%)
 Monthly15 (46.9%)5 (31.3%)10 (62.5%)
 Weekly13 (40.6%)10 (62.5%)3 (18.8%)
PP use
 To pay medical bills21 (65.6%)10 (62.5%)11 (68.8%)NS
 To view appointment notes30 (93.8%)15 (93.8%)15 (93.8%)NS
 To communicate with providers27 (84.4%)12 (75.0%)15 (93.8%)NS
 To schedule appointments19 (59.4%)8 (50.0%)11 (68.8%)NS
 To request prescription refills14 (43.8%)7 (43.8%)7 (43.8%)NS
 Other1 (3.1%)1 (6.3%)NS
PP device
 PP app7 (21.9%)4 (25.0%)3 (18.8%)NS
 Phone11 (34.4%)8 (50.00%)3 (18.8%)<.05
 Laptop or desktop20 (62.5%)7 (43.8%)13 (81.3%)<.05
 Other
CharacteristicsTotal 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
RaceNS
 White21 (65.6%)11 (68.8%)10 (62.5%)
 Black/African American8 (25.0%)4 (25.0%)4 (25.0%)
 Other3 (9.4%)1 (6.3%)2 (12.6%)
Hispanic2 (6.3%)2 (12.5%)NS
EducationNS
 High school
 Trade/tech certification1 (3.1%)1 (6.3%)
 Some college5 (15.6%)3 (18.8%)2 (12.5%)
 2-year degree3 (9.4%)2 (12.5%)1 (6.3%)
 4-year degree15 (46.9%)5 (31.3%)10 (62.5%)
 Grad/professional degree8 (25.0%)5 (31.3%)3 (18.8%)
Employment statusNS
 Not working6 (18.8%)3 (18.8%)3 (18.8%)
 Working26 (81.3%)13 (81.3%)13 (81.3%)
  Part time6 (18.8%)4 (25.0%)2 (12.5%)
  Full time20 (62.5%)9 (56.3%)11 (68.8%)
Household incomeNS
 <$25K1 (3.1%)1 (6.3%)
 $25 001-$50K2 (6.3%)2 (12.5%)
 $50 001-$75K6 (18.8%)3 (18.75%)3 (18.8%)
 $75 001-$100K6 (18.8%)4 (25.0%)2 (12.5%)
 $100 001-$150K11 (34.4%)4 (25.0%)7 (43.8%)
 >$150K6 (18.8%)4 (25.0%)2 (12.5%)
Marital status
 Single/not married3 (9.4%)3 (18.8%)NS
 Married29 (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 year3 (9.4%)3 (18.8%)
 Monthly15 (46.9%)5 (31.3%)10 (62.5%)
 Weekly13 (40.6%)10 (62.5%)3 (18.8%)
PP use
 To pay medical bills21 (65.6%)10 (62.5%)11 (68.8%)NS
 To view appointment notes30 (93.8%)15 (93.8%)15 (93.8%)NS
 To communicate with providers27 (84.4%)12 (75.0%)15 (93.8%)NS
 To schedule appointments19 (59.4%)8 (50.0%)11 (68.8%)NS
 To request prescription refills14 (43.8%)7 (43.8%)7 (43.8%)NS
 Other1 (3.1%)1 (6.3%)NS
PP device
 PP app7 (21.9%)4 (25.0%)3 (18.8%)NS
 Phone11 (34.4%)8 (50.00%)3 (18.8%)<.05
 Laptop or desktop20 (62.5%)7 (43.8%)13 (81.3%)<.05
 Other

Abbreviations: NS, non-significant; SD, standard deviation.

a

5-point Likert scale: 1 = Not at all, 2 = A little bit, 3 = Somewhat, 4 = Quite a bit, 5 = Extremely.

b

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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