Back

Creating a novel digital intervention to bridge the organizational and personal health literacy gap by teaching the way patients learn: a process and application study

Joachim-Celestin, M.; Matangi, N.; Rivas, L.; Thiruvengadam, N. R.; Montgomery, S.

2025-02-17 endocrinology
10.1101/2025.02.16.25322112 medRxiv
Show abstract

Low literacy is on the rise in the USA and is one of the independent predictors of poor health outcomes. While much written health information is now adapted to lower reading levels, more needs to be done to address the gap between material content and target consumers comprehension ability which often is more complex than simple reading level adjustments. This paper describes the process of developing a culturally, context and literacy-aligned intervention that promotes and supports preventive lifestyle behaviors among low-income Latino women (Latinas). Focus group discussions and key-informant interviews were conducted to identify needs, barriers and beliefs of low-income Latinas regarding obesity, healthy eating and physical activity. A simple literacy-aligned, culturally-appropriate and socio-economically acceptable (LACASA) framework and intervention were then created through an academic-community partnership: medical professionals and students, community health workers and researchers. The curriculum - which included minimal and easy-to-read written material and power point presentations - was piloted and revised before being launched. The resulting lifestyle curriculum for high-risk low-income Latinas was well-received and was a good fit for the priority population. Creating a program using the LACASA approach requires an interdisciplinary team to invest time working with key members of the priority population and a commitment to adjusting materials to the groups literacy level and its cultural and economic realities. Programs created to serve low-income individuals with limited literacy cannot rely on pre-created curricula. Instead, these must be re-evaluated and adjusted to address both content core principles and specific contexts of the priority population.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 5%
23.8%
2
JMIR Research Protocols
18 papers in training set
Top 0.1%
19.7%
3
PLOS Digital Health
91 papers in training set
Top 0.3%
7.6%
50% of probability mass above
4
International Journal of Environmental Research and Public Health
124 papers in training set
Top 0.7%
6.7%
5
PLOS Global Public Health
293 papers in training set
Top 2%
3.8%
6
BMJ Open
554 papers in training set
Top 7%
2.6%
7
DIGITAL HEALTH
12 papers in training set
Top 0.3%
2.5%
8
Nutrients
64 papers in training set
Top 0.7%
2.5%
9
Pilot and Feasibility Studies
12 papers in training set
Top 0.2%
1.9%
10
European Journal of Public Health
20 papers in training set
Top 0.4%
1.8%
11
JMIR Public Health and Surveillance
45 papers in training set
Top 2%
1.4%
12
BMC Public Health
147 papers in training set
Top 4%
1.3%
13
PeerJ
261 papers in training set
Top 9%
1.3%
14
Bioengineering
24 papers in training set
Top 0.8%
1.2%
15
BMJ Open Diabetes Research & Care
15 papers in training set
Top 0.8%
1.0%
16
Frontiers in Public Health
140 papers in training set
Top 6%
1.0%
17
Journal of General Internal Medicine
20 papers in training set
Top 0.9%
0.8%
18
The American Journal of Tropical Medicine and Hygiene
60 papers in training set
Top 4%
0.8%
19
JMIR Medical Informatics
17 papers in training set
Top 1%
0.8%
20
Healthcare
16 papers in training set
Top 2%
0.8%
21
Scientific Reports
3102 papers in training set
Top 77%
0.7%
22
Journal of Racial and Ethnic Health Disparities
11 papers in training set
Top 0.5%
0.7%
23
BMJ Global Health
98 papers in training set
Top 3%
0.5%
24
BMC Medical Education
20 papers in training set
Top 1%
0.5%
25
F1000Research
79 papers in training set
Top 6%
0.5%
26
Journal of Medical Internet Research
85 papers in training set
Top 5%
0.5%
27
Frontiers in Nutrition
23 papers in training set
Top 2%
0.5%