Table 2.
Primary population that would benefit from the app studied.
| Populationa | Number of articles (N=175), n (%) |
| Obesity | 24 (13.7) |
| Physical handicap or disability (including blindness or deafness) | 19 (10.9) |
| Diabetes mellitus | 15 (8.6) |
| Older adults | 15 (8.6) |
| Dementia or mild cognitive impairment | 14 (8.0) |
| Cancer | 11 (6.3) |
| Autism spectrum disorder | 10 (5.7) |
| Alcohol or drug abuse | 7 (4.0) |
| Chronic pain | 7 (4.0) |
| Depression | 7 (4.0) |
| Coronary artery disease | 6 (3.4) |
| Schizophrenia or psychosis | 5 (2.9) |
| Arthritis | 4 (2.3) |
| Stroke | 4 (2.3) |
| Cirrhosis | 3 (1.7) |
| Congestive heart failure | 3 (1.7) |
| Hypertension | 3 (1.7) |
| Posttraumatic stress disorder | 3 (1.7) |
| Developmentally delayed or mentally impaired | 2 (1.1) |
| HIVb or AIDS | 2 (1.1) |
| Attention-deficit hyperactivity disorder | 1 (0.6) |
| Bipolar disorder | 1 (0.6) |
| Chronic kidney disease | 1 (0.6) |
| Low income or poor | 1 (0.6) |
| Low literacy or low numeracy | 1 (0.6) |
| Posttransplant | 1 (0.6) |
| Smoking | 1 (0.6) |
| None of the above | 38 (21.7) |
aThese are not mutually exclusive categories. Articles may evaluate multiple apps and individual apps may target multiple populations.
bHIV: human immunodeficiency virus.