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Assignment: Literature Review: The Use of Clinical Systems to Improve Outcomes and Efficiencies

Assignment: Literature Review: The Use of Clinical Systems to Improve Outcomes and Efficiencies

 

In the present era, mobile technology have mostly been used to enhance patient care. Mobile technology enable patients and caregivers to communicate about health-related issues. Mobile health technologies have been found to be effective at delivering low-cost care to patients with chronic conditions such as diabetes, heart failure, and obesity. mHealth is a type of mobile health technology that is used to address health issues such as smoking, obesity, heart disease, and tuberculosis. mHealth makes use of technologies such as applications to provide critical health education messages to populations at risk of developing health problems, resulting in positive lifestyle and behavioral changes. The usage of mHealth technology has been demonstrated to result in improved patient satisfaction, expanded access to care, and cost savings for both patients and healthcare providers. As a result, this study paper evaluates the health effects associated with the use of mHealth technologies.

Y. Wang, H. Xue, Y. Huang, L. Huang, and D. Zhang (2017). A Systematic Review of the Use and Effectiveness of Mobile Health Interventions for the Treatment and Self-Management of Obesity and Diabetes Nutrition Advances, 8(3), pp. 449–462. https://doi.org/10.3945/an.116.014100

Wang et al. evaluated the efficacy of mHealth technology in the management of diabetes and obesity. The aforementioned study examined the efficacy of mobile health treatments for diabetes and obesity treatment and self-management. The study was a comprehensive review of previous research on the subject. The authors conducted a systematic review of interventional studies on the use of mobile health in the treatment of obesity and diabetes and made recommendations for future practice and research. The publications utilized in the study were retrieved from the PubMed database, with the inclusion criteria being that they had to be focused on the study’s subject and had to have been published between 2000 and 2016. The defined inclusion and exclusion criteria resulted in the publication of 24 articles describing mhealth therapies that included text messaging, monitoring devices, and smartphone applications. The investigation’s primary outcomes were weight loss and a reduction or maintenance of blood glucose levels. The investigation’s secondary outcomes were behavioral improvements, self-efficacy, and acceptability of mhealth program use. The data analysis found that using mhealth technologies was associated with a greater than 50% improvement in weight, blood glucose, behavioral change, self-efficacy, and acceptability of technology use. The effects of the mhealth interventions were sustained over time, resulting in excellent diabetes and obesity management. The article’s lesson is that mobile health technology are connected with considerable benefits when used in the treatment of chronic diseases such as obesity and diabetes. Additionally, the technology promotes self-management of these conditions, as evidenced by the participants’ increased self-efficacy and behavioral change. As a result, mhealth should be included into the management of chronic illnesses in the health care system. Assignment: Review of the Literature: Using Clinical Systems to Enhance Outcomes and Efficiencies

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Changizi, M., & Kaveh, M. H. (2017). Effectiveness of the mHealth technology in improvement of healthy behaviors in an elderly population—A systematic review. MHealth, 3. https://doi.org/10.21037/mhealth.2017.08.06

mHealth technologies can also be used to promote positive behavioral and lifestyle changes in the elderly population. The above study investigated the effectiveness of using mhealth technology to improve healthy behaviors in the elderly population. The authors

Assignment Literature Review The Use of Clinical Systems to Improve Outcomes and Efficiencies

Assignment Literature Review The Use of Clinical Systems to Improve Outcomes and Efficiencies

conducted a systematic review using previously published studies. The articles that were used in the review were obtained from databases that included Web of Science, PubMed, Scopus, Embase and Science Direct. The authors used a pre-developed inclusion and exclusion criteria to select studies that were to be used in the investigation. The search performed on the above databases led to 12 studies that met the inclusion and exclusion criteria for the investigation. The analysis of data showed that the use of mhealth technology is associated with numerous benefits to the elderly populations. The benefits included improvement in care, self-efficacy, self-management, and behavior promotion and medication adherence. The authors further found that the use of mhealth technology is effective for disease prevention, management of diseases such as diabetes and cardiovascular disease and promoting lifestyle changes in the elderly populations. The above study is associated with the strength that it used a bigger number of articles to determine the effect of mhealth on the elderly populations. The authors also investigated the use of the technology in the vulnerable populations. It can be learnt from the study that the use of mhealth technology is effective for individuals of all ages. The technology improves the treatment outcomes, adherence and adoption of healthy lifestyles in the elderly populations. Consequently, healthcare providers, including nurses should educate the elderly populations on the use of different mhealth technologies in the management of their health problems. Assignment: Literature Review: The Use of Clinical Systems to Improve Outcomes and Efficiencies

Liu, H., Xiao, X., Lu, C.-M., Ling, D.-L., & Wei, R.-H. (2018). A systematic review of the effect of mobile health on cardiac rehabilitation among coronary heart disease patients. Frontiers of Nursing, 5(3), 217–226. https://doi.org/10.1515/fon-2018-0029

As noted in the above annotations, mhealth technology can be used to improve the treatment outcomes of patients with chronic conditions. The above study investigated the effect of using mhealth technologies on cardiac rehabilitation in patients with heart disease. The study was a systematic review of previous studies conducted to determine the effectiveness of mhealth technologies in patients with cardiac problems. The authors used articles that were obtained from performing a systematic search on databases that included NICE, Embase, CINAHL, Google Scholar, Medline, and Cochrane library. The researchers used mainly randomized controlled studies that were published between 2002 and 2017. The search led to eight articles that were used in the systematic review. The analysis of data showed that the use of mhealth has positive impact on behaviors that included medicine adherence, engagement in physical activity and quality of life. However, the effect of mhealth on the level of anxiety and smoking cessation was inconsistent in studies. The authors therefore recommended studies that use large sample sizes to be conducted to provide conclusive evidence on the effect of mhealth technologies on patients on cardiac rehabilitation. It can be learned from this article that mhealth technologies have some benefits to patients with cardiac problems. The technology promotes healthy lifestyle and behavioral change that improves the outcomes of treatment in patients with cardiac health problems. Therefore, nurses and other healthcare providers should explore the possibilities of incorporating mhealth technologies into the treatment of cardiac-related health problems.

Xiong, S., Berkhouse, H., Schooler, M., Pu, W., Sun, A., Gong, E., & Yan, L. L. (2018). Effectiveness of mHealth interventions in improving medication adherence among people with hypertension: a systematic review. Current Hypertension Reports, 20(10), 86. https://doi.org/10.1007/s11906-018-0886-7

The above study investigated the effectiveness of using mhealth interventions to improve adherence to medication in people with hypertension. The authors conducted a systematic review of the studies that have examined the effect of mhealth technologies on medication adherence in people with hypertension. The authors performed search on professional databases that included Web of Science, PubMed and Embase. The search yielded 21 studies that were included following the application of the developed inclusion and exclusion criteria. The studies used in the investigation were published between 2000 and 2017. The results of the analysis showed that the use of mhealth technologies was associated with significant improvement in treatment adherence alongside blood pressure control in people with hypertension. The authors projected that the use of mhealth technologies had sustained benefits to patients with hypertension. Therefore, it can be learned from this study that mhealth can improve the treatment outcomes due to adherence in patients with hypertension. The improvement also enhances the control of blood pressure in these patients. Therefore, the use of mhealth should be incorporated into the self-management interventions used in the management of hypertension. Assignment: Literature Review: The Use of Clinical Systems to Improve Outcomes and Efficiencies

Conclusion

The above annotation has shown that mHealth technology is effective when used in healthcare. mHealth technologies provide the opportunities to reduce the cost of care incurred by the patients and health organizations. The analysis has also shown that mhealth technologies promote behavioral changes. The behavioral changes can be seen from the improved adherence to treatment and engagement in physical activity among patients with obesity, hypertension and diabetes. The analysis also showed that mhealth promotes the self-management of chronic health problems that include diabetes, hypertension and obesity. mHealth has also be shown to improve the self-efficacy of patients with different health problems. The improvement in self-efficacy implies that the use of this technology in health has a high possibility of sustainability. In addition, the acceptability level of mhealth technology is significantly high. The high rate of acceptability implies that its utilization in health will result in enhanced outcomes of treatment for the patients. Healthcare providers including nurses should therefore consider incorporating mhealth technology into their plans of care. The technology will optimize the treatment outcomes for value-based care in health.

References

Changizi, M., & Kaveh, M. H. (2017). Effectiveness of the mHealth technology in improvement of healthy behaviors in an elderly population—A systematic review. MHealth, 3. https://doi.org/10.21037/mhealth.2017.08.06

Liu, H., Xiao, X., Lu, C.-M., Ling, D.-L., & Wei, R.-H. (2018). A systematic review of the effect of mobile health on cardiac rehabilitation among coronary heart disease patients. Frontiers of Nursing, 5(3), 217–226. https://doi.org/10.1515/fon-2018-0029

Wang, Y., Xue, H., Huang, Y., Huang, L., & Zhang, D. (2017). A systematic review of application and effectiveness of mHealth interventions for obesity and diabetes treatment and self-management. Advances in Nutrition, 8(3), 449–462. https://doi.org/10.3945/an.116.014100

Xiong, S., Berkhouse, H., Schooler, M., Pu, W., Sun, A., Gong, E., & Yan, L. L. (2018). Effectiveness of mHealth interventions in improving medication adherence among people with hypertension: a systematic review. Current Hypertension Reports, 20(10), 86. https://doi.org/10.1007/s11906-018-0886-7

Name:  Assignment Rubric

  Excellent Good Fair Poor
Summarize your interpretation of the frequency data provided in the output for respondent’s age, highest school grade completed, and family income from prior month. 32 (32%) – 35 (35%)

The response accurately and clearly explains, in detail, a summary of the frequency distributions for the variables presented.

The response accurately and clearly explains, in detail, the number of times the value occurs in the data.

The response accurately and clearly explains, in detail, the appearance of the data, the range of data values, and an explanation of extreme values in describing intervals that sufficiently provides an analysis that fully supports the categorization of each variable value.

The response includes relevant, specific, and appropriate examples that fully support the explanations provided for each of the areas described.

28 (28%) – 31 (31%)

The response accurately summarizes the frequency distributions for the variables presented.

The response accurately explains the number of times the value occurs in the data.

The response accurately explains the appearance of the data, the range of data values, and explains extreme values in describing intervals that provides an analysis which supports the categorization of each variable value.

The response includes relevant, specific, and accurate examples that support the explanations provided for each of the areas described.

25 (25%) – 27 (27%)

The response inaccurately or vaguely summarizes the frequency distributions for the variables presented.

The response inaccurately or vaguely explains the number of times the value occurs in the data.

The response inaccurately or vaguely explains the appearance of the data, the range of data values, and inaccurately or vaguely explains extreme values.

An analysis that may support the categorization of each variable value is inaccurate or vague.

The response includes inaccurate and irrelevant examples that may support the explanations provided for each of the areas described.

0 (0%) – 24 (24%)

The response inaccurately and vaguely summarizes the frequency distributions for the variables presented, or it is missing.

The response inaccurately and vaguely explains the number of times the value occurs in the data, or it is missing.

The response inaccurately and vaguely explains the appearance of the data, the range of data values, and an explanation of extreme values, or it is missing.

An analysis that does not support the categorization of each variable values is provided, or it is missing.

The response includes inaccurate and vague examples that do not support the explanations provided for each of the areas described, or it is missing.

Summarize your interpretation of the descriptive statistics provided in the output for respondent’s age, highest school grade completed, race and ethnicity, currently employed, and family income from prior month. 45 (45%) – 50 (50%)

The response accurately and clearly summarizes in detail the interpretation of the descriptive statistics provided.

The response accurately and clearly evaluates in detail each of the variables presented, including an accurate and complete description of the sample size, the mean, the median, standard deviation, and the size and spread of the data.

40 (40%) – 44 (44%)

The response accurately summarizes the interpretation of the descriptive statistics provided.

The response accurately explains evaluates each of the variables presented, including an accurate description of the sample size, the mean, the median, standard deviation, and the size and spread of the data.

35 (35%) – 39 (39%)

The response inaccurately or vaguely summarizes the interpretation of the descriptive statistics provided.

The response inaccurately or vaguely evaluates each of the variables presented, including an inaccurate or vague description of the sample size, the mean, the median, the standard deviation, and the size and spread of the data.

0 (0%) – 34 (34%)

The response inaccurately and vaguely summarizes the interpretation of the descriptive statistics provided, or it is missing.

The response inaccurately and vaguely evaluates each of the variables presented, including an inaccurate and vague description of the sample size, the mean, the median, the standard deviation, and the size and spread of the data, or it is missing.

Written Expression and Formatting – Paragraph Development and Organization:
Paragraphs make clear points that support well-developed ideas, flow logically, and demonstrate continuity of ideas. Sentences are carefully focused—neither long and rambling nor short and lacking substance. A clear and comprehensive purpose statement and introduction is provided which delineates all required criteria.
5 (5%) – 5 (5%)

Paragraphs and sentences follow writing standards for flow, continuity, and clarity.

A clear and comprehensive purpose statement, introduction, and conclusion is provided which delineates all required criteria.

4 (4%) – 4 (4%)

Paragraphs and sentences follow writing standards for flow, continuity, and clarity 80% of the time.

Purpose, introduction, and conclusion of the assignment is stated, yet is brief and not descriptive.

3 (3%) – 3 (3%)

Paragraphs and sentences follow writing standards for flow, continuity, and clarity 60%–79% of the time.

Purpose, introduction, and conclusion of the assignment is vague or off topic.

0 (0%) – 2 (2%)

Paragraphs and sentences follow writing standards for flow, continuity, and clarity < 60% of the time.

No purpose statement, introduction, or conclusion was provided.

Written Expression and Formatting – English writing standards:
Correct grammar, mechanics, and proper punctuation
5 (5%) – 5 (5%)

Uses correct grammar, spelling, and punctuation with no errors.

4 (4%) – 4 (4%)

Contains a few (1 or 2) grammar, spelling, and punctuation errors.

3 (3%) – 3 (3%)

Contains several (3 or 4) grammar, spelling, and punctuation errors.

0 (0%) – 2 (2%)

Contains many (≥ 5) grammar, spelling, and punctuation errors that interfere with the reader’s understanding.

Written Expression and Formatting – The paper follows correct APA format for title page, headings, font, spacing, margins, indentations, page numbers, parenthetical/in-text citations, and reference list. 5 (5%) – 5 (5%)

Uses correct APA format with no errors.

4 (4%) – 4 (4%)

Contains a few (1 or 2) APA format errors.

3 (3%) – 3 (3%)

Contains several (3 or 4) APA format errors.

0 (0%) – 2 (2%)

Contains many (≥ 5) APA format errors.

Total Points: 100

Name:  Assignment Rubric

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