Difference between revisions of "Gender differences in diabetes self-management: a mixed-methods analysis of a mobile health intervention for inner-city Latino patients"

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* Phase I - 20 patients were able to follow-up for data collection at trial completion.  
 
* Phase I - 20 patients were able to follow-up for data collection at trial completion.  
 
- Men’s average scores on the Diabetes Knowledge Questionnaire decreased slightly (8.4 to 6.8), while women’s knowledge increased (8.5 to 10.5).  
 
- Men’s average scores on the Diabetes Knowledge Questionnaire decreased slightly (8.4 to 6.8), while women’s knowledge increased (8.5 to 10.5).  
 +
 
- Self-efficacy measured by the Diabetes Empowerment Scale improved for men, with a minimal change for women (30 to 33.4 for men and 34.2 to 34.0 for women).  
 
- Self-efficacy measured by the Diabetes Empowerment Scale improved for men, with a minimal change for women (30 to 33.4 for men and 34.2 to 34.0 for women).  
 +
 
- Checking food labels did not change for men or women, while percent of patients who ate a fruit or vegetable each day improved for men (from 43% to 82%) but did not change for women.  
 
- Checking food labels did not change for men or women, while percent of patients who ate a fruit or vegetable each day improved for men (from 43% to 82%) but did not change for women.  
 +
 
- Medication adherence and exercise behaviors improved for both gender groups.  
 
- Medication adherence and exercise behaviors improved for both gender groups.  
 +
 
- Women increased the number of times they checked their blood sugar and feet, while men exhibited no change in blood sugar checks and decreased the number of times they checked their feet.
 
- Women increased the number of times they checked their blood sugar and feet, while men exhibited no change in blood sugar checks and decreased the number of times they checked their feet.
  

Revision as of 04:48, 8 October 2015

The following is a review of Burner et al. on the observed gender differences in diabetes self-management through the utilization of an mHealth intervention. [1]

Introduction

MHealth technology is a promising tool with diverse features such as improving the self-management of patients suffering from chronic diseases. Diabetes has been a notorious and prominent public health problem affecting the diverse american population, especially African Americans and Hispanics. Although it has become an acclaimed tool for the implementation of follow-up treatments and self-management in patients, few is known about the factors which contribute to it's utilization such as Socio-economic status (SES). Berner et al. explore the impact of diabetes management among low-income Latino patients through the Trial to Examine Text Message for Emergency Department Patients with Diabetes (TExT-MED) a text message-based program designed to improve disease knowledge, self-efficacy, and glycemic control among low-income Latinos.

Methods

23 Diabetic patients recruited for the study were selected from the emergency department at Los Angeles County Hospital at the University of Southern California; largest public safety-net hospital in Los Angeles County serving a predominantly Latino population.

A three-phase framework was established for the conduction of the study:

  • Phase I (Completed, May 2011) - Tested feasibility and acceptability among the target population.

- 1-month bilingual (English and Spanish) diabetes curriculum of text messages - Three messages/day in preferred language: (1) educational and motivational messages (67%), (2) trivia questions (12%), (3) healthy-behavior challenge (14%)

  • Phase II (The study) - Qualitative analysis of the program.

- Assembled two focus groups of 90-min duration—one in English and one in Spanish from the pool of Phase I participants. Moderator delivered consistent probes between groups. - Including: (1) how they sought health information, (2) how trustworthy and valid they found the information from TExT-MED, (3) whether they sought further information after receiving a text message, and (4) with whom they shared the TExT-MED information. - Conversations were recorded and transcribed for further analysis.

  • Phase III (Ongoing) - Randomized and Controlled trials.

Results

  • Phase I - 20 patients were able to follow-up for data collection at trial completion.

- Men’s average scores on the Diabetes Knowledge Questionnaire decreased slightly (8.4 to 6.8), while women’s knowledge increased (8.5 to 10.5).

- Self-efficacy measured by the Diabetes Empowerment Scale improved for men, with a minimal change for women (30 to 33.4 for men and 34.2 to 34.0 for women).

- Checking food labels did not change for men or women, while percent of patients who ate a fruit or vegetable each day improved for men (from 43% to 82%) but did not change for women.

- Medication adherence and exercise behaviors improved for both gender groups.

- Women increased the number of times they checked their blood sugar and feet, while men exhibited no change in blood sugar checks and decreased the number of times they checked their feet.

  • Phase II - 8 patients returned for focus groups

From the qualitative analysis three major factors were identified as prominent differences between genders:

(1) Dietary self-efficacy - Male subjects felt that their knowledge on diet and ability to prepare their own meals, affected their self-management of diabetes.

(2) Health information sources - Males: Mainly obtained their knowledge either from physicians or media (TV, radio, internet) - Females: Mainly obtained their knowledge from family or fiends advises

(3) Desired content of further educational materials - Males: Erectile dysfunction was a prominent topic among all of them - Females: Prevention of yeast infection and menopause

Conclusion

Most of the applications provided in their content general information and assistance to their users, but were limited in assessment, feedback, or tailored assistance. Results also show that apps incorporated some degree of interaction with the users as an intervention strategy, but the emotional and cognitive areas were very underdeveloped or simply not present, an aspect believed to be crucial for the motivation of the use of technology by men. Although the study suggest that the chronic treatment of a patient would improve significantly by customizing the application to the patients-needs it wouldn't be feasible for the app developer to materialize a software so exclusive since it would also affect the range in the market for him. Also, it’s incredible the degree of evolution in applications in categories such as social media, news, games, business or education while sadly having no substantial development in the category of Health applications, specifically for the improvement of chronic health illnesses. Perhaps, it is indeed an unexplored new market with many flaws, but it is also a digital realm which potentially can allow us to monitor and improve a patient’s life expectancy. Focusing and shifting the interest of developers into applications truly functional with an emotional component and of friendly-use for users will play a crucial role in the health service delivered to our patients in a not so distant future.

References

  1. Burner, E., Menchine, M., Taylor, E., & Arora, S. (2013). Gender differences in diabetes self-management: a mixed-methods analysis of a mobile health intervention for inner-city Latino patients. Journal of diabetes science and technology, 7(1), 111-118. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692222/