CONSUMER ADOPTION SURVEY

Focus dashboards

2025 FOCUS DASHBOARD

Women as digital health consumers

A survey-led view of how women use care, tracking tools, connected devices, health information, and digital programs—compared with men where the contrast is most useful.

WOMEN IN SAMPLE4,03550.4% of 2025 respondents
Women consumers at a glance
2025 digital health signals

Among women respondents · 2025 Consumer Adoption Survey · Click any statistic to open its source question

01

PROFILE & HEALTH CONTEXT

Who this dashboard represents

74.1%rate their health excellent or good
36.7%care for a child or adult
49.9%comfortably afford necessary medical expenses
H5x2 · DERIVED

Diagnosed condition burden

Derived grouping of the number of conditions selected

No diagnosed conditions
24.1%
24.8%
0.8 pt gap · men higher
1–3 conditions
60.8%
62.8%
2.0 pt gap · men higher
4+ conditions
15.1%
12.3%
2.8 pt gap · women higher
Women n=4,035 · Men n=3,953
TA9 × H5x2 · DERIVED

Chronic disease management app use by condition burden

Women using a chronic disease management health app or virtual program, grouped by number of diagnosed conditions

Uses a program Does not use
9.9%

of women with 4+ diagnosed conditions use a chronic disease management app or program2.7× the rate among women with no diagnosed conditions.

No diagnosed conditionsWomen n=972
96.4%
3.6% use
1–3 diagnosed conditionsWomen n=2,454
95.2%
4.8% use
4+ diagnosed conditionsWomen n=609
9.9%90.1%
9.9% use
Condition count is a documented derived variable; app use is a fielded TA9 response.
02

DIGITAL HEALTH ADOPTION · VIRTUAL CARE

Digital care is now part of the care mix

DHA1x2

Virtual care modalities used

Share using each modality in the past 12 months

Live video
36.0%
34.6%
1.5 pt gap · women higher
Live phone
36.3%
36.8%
0.4 pt gap · men higher
Text, app, or web messaging
35.7%
36.9%
1.3 pt gap · men higher
Women n=4,035 · Men n=3,953
03

HEALTH TRACKING, WEARABLES & CONNECTED DEVICES

Tracking spans everyday health and women-specific needs

DHA6

What consumers track

Share currently tracking each health measure

Weight
52.0%
51.9%
0.1 pt gap · women higher
Medications
42.5%
38.3%
4.2 pt gap · women higher
Physical activity
34.9%
34.4%
0.4 pt gap · women higher
Food / diet
33.9%
29.8%
4.1 pt gap · women higher
Sleep
31.8%
34.2%
2.4 pt gap · men higher
Menstrual cycle / fertility
28.0%
2.9%
25.1 pt gap · women higher
Stress / mental health
30.0%
21.9%
8.1 pt gap · women higher
Women n=4,035 · Men n=3,953
DHA3

Wearable and device ownership

Share currently owning each connected device

Smart watch
44.8%
40.3%
4.5 pt gap · women higher
Smart ring
7.6%
9.0%
1.4 pt gap · men higher
Continuous glucose monitor
7.5%
9.7%
2.2 pt gap · men higher
Smart scale
12.1%
13.6%
1.5 pt gap · men higher
Connected BP cuff
11.5%
13.9%
2.4 pt gap · men higher
Women n=4,035 · Men n=3,953
DHA6x1 · DERIVED

Digital and analog tracking mix

Derived classification across all health metrics currently tracked

Analog only
32.8%
34.0%
1.2 pt gap · men higher
Digital only
24.6%
27.1%
2.5 pt gap · men higher
Analog and digital
42.6%
38.9%
3.7 pt gap · women higher
Women n=4,035 · Men n=3,953
DHA6x1 · DERIVED

How women track each health metric

Digital versus analog method among women who track each metric

Digital Analog
Heart rate18.5% of women track · n=745
76.5%23.5%
Physical activity34.9% of women track · n=1,407
73.3%26.7%
Menstrual cycle / fertility28.0% of women track · n=1,129
69.8%30.2%
Blood sugar0.0% of women track · n=601
60.4%39.6%
Sleep31.8% of women track · n=1,285
57.3%42.7%
Blood pressure29.3% of women track · n=1,181
46.6%53.4%
Weight52.0% of women track · n=2,098
44.9%55.1%
Food / diet33.9% of women track · n=1,368
41.1%58.9%
Stress / mental health30.0% of women track · n=1,210
36.2%63.8%
Pain20.0% of women track · n=809
28.8%71.2%
Medications42.5% of women track · n=1,714
27.0%73.0%
Base sizes vary by metric and appear beside each row.
04

ATTITUDES & PREFERENCES

Trust shapes where women will share health data

AP2

Willingness to share health information

Share willing to share with each individual or organization

Healthcare provider
68.9%
63.3%
5.6 pt gap · women higher
Family members
52.3%
51.7%
0.7 pt gap · women higher
Pharmacy
41.5%
42.1%
0.7 pt gap · men higher
Health insurer
41.3%
41.9%
0.6 pt gap · men higher
Research institution
17.9%
19.1%
1.2 pt gap · men higher
Healthcare technology company
12.7%
16.1%
3.5 pt gap · men higher
Pharmaceutical company
12.0%
14.1%
2.2 pt gap · men higher
Employer
8.1%
12.7%
4.6 pt gap · men higher
Consumer technology company
6.7%
8.5%
1.8 pt gap · men higher
AI company
6.6%
8.2%
1.6 pt gap · men higher
Government organization
5.0%
7.9%
3.0 pt gap · men higher
Women n=4,035 · Men n=3,953
AP6

Trust in health information sources

Share who completely or somewhat trust each source

Healthcare provider
87.9%
87.1%
0.9 pt gap · women higher
Pharmacist
79.1%
79.4%
0.3 pt gap · men higher
Health websites
56.4%
56.7%
0.4 pt gap · men higher
Health apps
32.9%
35.7%
2.8 pt gap · men higher
AI chatbots
24.8%
30.7%
5.9 pt gap · men higher
Social media
17.1%
20.1%
3.0 pt gap · men higher
Friends and family
63.5%
65.1%
1.6 pt gap · men higher
Women n=4,035 · Men n=3,953
05

MISCELLANEOUS · ONLINE HEALTH INFORMATION & DIGITAL PROGRAMS

Search, trust, and digital tools shape health decisions

AI HEALTH SEARCH29.6%

of women used an AI tool for at least one health search

COMPARISON34.1%

of men used an AI tool for at least one health search

DHA4

Online health searches by information type

Share using a search engine for each kind of health information

Prescription information
51.5%
46.0%
5.5 pt gap · women higher
Diagnosis information
49.3%
43.2%
6.1 pt gap · women higher
Treatment options
47.0%
38.2%
8.8 pt gap · women higher
Other health information
52.8%
46.5%
6.3 pt gap · women higher
Women n=4,035 · Men n=3,953
AP6

Complete trust in digital health sources

Share who completely trust each source for health information

Health websites
15.8%
16.3%
0.6 pt gap · men higher
Health apps
8.3%
9.6%
1.3 pt gap · men higher
AI chatbots
6.8%
8.7%
1.9 pt gap · men higher
Social media
5.7%
7.2%
1.5 pt gap · men higher
Women n=4,035 · Men n=3,953
TA9 · 2025

Women’s use of health apps and virtual programs

All fielded response options, comparing all women, women of color, and white women

All women Women of color White women

The largest difference is in Period or fertility tracking: women of color report use at 26.0% versus 12.9% among white women—a 13.2 percentage-point gap toward women of color.

58.2%70.6%50.4%
Any health app or programDerived rollup
17.0%21.5%14.1%
Meditation and mindfulness
16.3%21.6%12.9%
Mental health or therapy app
4.2%5.6%3.3%
Musculoskeletal (MSK) virtual care program
18.0%26.0%12.9%
Period or fertility tracking
5.8%7.7%4.6%
Menopause program
25.1%28.2%23.1%
Nutrition, fitness, and exercise
13.2%16.5%11.1%
Weight management or metabolic health program
14.6%17.3%12.9%
A virtual primary care service
5.3%6.6%4.4%
Chronic disease management
10.2%12.6%8.7%
Sleep optimization
5.7%8.0%4.2%
Functional or longevity medicine program
2.2%1.6%2.6%
Other
41.8%29.4%49.6%
None of the above
All women n=4,035 · Women of color n=1,559 · White women n=2,468
TA9 × S1 · 2025

Health apps and virtual programs used by age

Women respondents by life stage · all fielded response options

Lower useHigher use

Period or fertility tracking has the widest life-stage difference: 40.3% among women ages 18–24 versus 0.0% among women ages 75+, a 40.3percentage-point spread.

App or program18–24n=51825–34n=76335–44n=67345–54n=59355–64n=60965–74n=49875+n=381
Any health app or programDerived rollup80.5%78.4%72.7%59.4%44.5%30.3%18.1%
Meditation and mindfulness20.5%26.5%22.9%16.0%13.5%7.2%2.6%
Mental health or therapy app26.3%26.0%24.7%14.8%8.4%3.2%0.5%
Musculoskeletal (MSK) virtual care program6.6%8.3%5.1%3.2%2.0%1.0%0.3%
Period or fertility tracking40.3%35.0%26.2%10.6%1.3%0.4%0.0%
Menopause program8.1%8.0%7.6%9.1%3.4%0.8%0.0%
Nutrition, fitness, and exercise30.9%32.8%33.1%24.1%21.7%13.7%9.2%
Weight management or metabolic health program16.6%19.8%20.2%12.8%8.5%5.0%1.8%
A virtual primary care service13.1%21.5%21.5%15.5%11.7%8.4%1.8%
Chronic disease management6.6%9.4%6.2%4.6%3.6%2.0%1.3%
Sleep optimization15.8%17.0%14.3%8.6%4.8%2.6%2.9%
Functional or longevity medicine program7.9%11.9%7.7%3.9%2.3%1.0%1.0%
Other2.7%1.6%1.8%1.3%2.5%2.8%3.7%
None of the above19.5%21.6%27.3%40.6%55.5%69.7%81.9%
Women respondents only · age-specific bases shown in the column headers
Source: Rock Health Consumer Adoption Survey, 2025Percentages use eligible responses for each question; multi-select totals may exceed 100%.