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  • [Solved] growth chart

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    – ## GrowthChartAnalysis1.docx **## GrowthChartAnalysis1.docx** Growth Chart Analysis ![A person holding a baby and a doctor Description automatically generated](https://www.sweetstudy.com/questions/growth-chart-20930175) As a pediatric nurse practitioner, it is essential that you analyze the growth…

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    – ## GrowthChartAnalysis1.docx

    **## GrowthChartAnalysis1.docx**

    Growth Chart Analysis

    ![A person holding a baby and a doctor Description automatically generated](https://www.sweetstudy.com/questions/growth-chart-20930175)

    As a pediatric nurse practitioner, it is essential that you analyze the growth chart and explain the findings to parents so that you can provide guidance in the form of a healthcare plan.

    Resources

    Be sure to review the Learning Resources before completing this activity.
    Click the weekly resources link to access the resources.

    [**WEEKLY RESOURCES**](https://waldenu.instructure.com/courses/172027/modules/items/7099210)

    To prepare:

    · Review this week’s readings and resources along with Week 8.

    · Research and review online pediatric growth charts.

    The Assignment: 2–3 Minute Video

    A 7-year-old male patient comes into your office for a well exam. The child is 47.5 inches tall and weighs 65 lbs.

    By Day 7 of Week 9

    Use Kaltura to create a 2–3-minute video where you, as the pediatric nurse practitioner, explain the child’s growth chart to the parent. Use the appropriate growth chart (you can share your screen to refer to the chart) to explain the child’s height-for-age and weight-for-age percentiles as well as his BMI, including his percentile. Determine the diagnosis and explain to the parent whether the child is underweight, normal weight, overweight, or obese. Share a treatment plan and suggestions for future steps for the parent.

    At the beginning of the video, show your ID and introduce/identify yourself by showing your face. Create a video posing as if you are speaking to the parent. You can print the growth chart or use screen sharing to go over it with the parent. Make sure that you record your face using the “camera” recording option in Kaltura.

    submission information

    To submit your video response entry:

    1. Click on
    **Start Assignment** near the top of the page.

    2. Next, click
    **Text Entry** and then click the
    **Embed Kaltura Media** button.

    3. Select your recorded video under My Media.

    4. Check the box for the End-User License Agreement and select
    **Submit Assignment** for review.

    Rubric

    **NRNP_6541_Week9_Assignment_Rubric**

    | | | |
    | — | — | — |
    | NRNP_6541_Week9_Assignment_Rubric |
    | **Criteria** | **Ratings** | **Pts** |
    | This criterion is linked to a Learning OutcomeAt the beginning of video, shows ID and introduces/identifies self. Shows face on video. | **10 to >5.0 ptsExcellent**<br>**5 to >0.0 ptsGood**<br>**0 ptsFair**<br>**0 ptsPoor** | 10 pts |
    | This criterion is linked to a Learning OutcomeIncludes height-for-age percentiles | **15 to >5.0 ptsExcellent** Includes stature-for-age percentiles<br> <br>**5 to >0.0 ptsGood** Does not include stature-for-age percentiles<br> <br>**0 ptsFair**<br>**0 ptsPoor** | 15 pts |
    | This criterion is linked to a Learning OutcomeIncludes weight-for-age percentiles | **15 to >5.0 ptsExcellent** Includes weight-for-age percentiles<br> <br>**5 to >2.0 ptsGood** Does not include weight-for-age percentiles<br> <br>**2 to >0.0 ptsFair**<br>**0 ptsPoor** | 15 pts |
    | This criterion is linked to a Learning OutcomeIncludes BMI percentiles | **15 to >5.0 ptsExcellent** Includes BMI percentiles<br> <br>**5 to >0.0 ptsGood** Does not include BMI percentiles<br> <br>**0 ptsFair**<br>**0 ptsPoor** | 15 pts |
    | This criterion is linked to a Learning OutcomeProvides a diagnosis and explains to the parent whether the child is underweight, normal weight, overweight, or obese. | **15 to >13.0 ptsExcellent** Clearly and fully explains whether the child is underweight, normal weight, overweight, or obese.<br> <br>**13 to >11.0 ptsGood** Adequately explains whether the child is underweight, normal weight, overweight, or obese.<br> <br>**11 to >10.0 ptsFair** Explains whether the child is underweight, normal weight, overweight, or obese but the response is vague, unclear, or incomplete.<br> <br>**10 to >0 ptsPoor** Insufficient or missing explanation of whether the child is underweight, normal weight, overweight, or obese. | 15 pts |
    | This criterion is linked to a Learning OutcomeShares treatment plan and suggestions for future steps for parent. | **15 to >13.0 ptsExcellent** Clearly and fully explains diagnoses and suggestions for future steps for the parent.<br> <br>**13 to >11.0 ptsGood** Adequately explains diagnoses and suggestions for future steps for the parent.<br> <br>**11 to >10.0 ptsFair** Explains diagnoses and suggestions for future steps for the parent, but the response is vague, unclear, or incomplete.<br> <br>**10 to >0 ptsPoor** Insufficient or missing explanation of diagnoses and suggestions for future steps for the parent. | 15 pts |
    | This criterion is linked to a Learning OutcomeUses a professional and friendly demeanor. | **15 to >13.0 ptsExcellent** Consistently uses a professional and friendly demeanor while maintaining eye contact.<br> <br>**13 to >11.0 ptsGood** Adequately uses a professional and friendly demeanor while maintaining eye contact.<br> <br>**11 to >10.0 ptsFair** Use of a professional and friendly demeanor is inconsistent. Eye contact is not maintainred throughout video.<br> <br>**10 to >0 ptsPoor** Does not use a professional and friendly demeanor. | 15 pts |

    This week you will complete a pediatric growth chart analysis via video.

    As a pediatric nurse practitioner, it is essential that you analyze the growth chart and explain the findings to parents (IN DETAIL) so that you can provide guidance in the form of a healthcare plan.

    In preparation for this assignment,

    ·
    **Research and review online pediatric growth charts.** Locate and use the appropriate growth chart base in patient age and weight

    ·
    **Kaltura is located in the “my media” area of the classroom. Make sure that you record your face using the “camera” recording option in Kaltura.**

    Use Kaltura to create a
    **3-5 to minute video where** you, as the pediatric nurse practitioner, explain the child’s growth chart to the parent. Use the appropriate growth chart (you can share your screen to refer to the chart) to
    explain the child’s height-for-age and weight-for-age percentiles as well as his BMI, including his percentile. Determine and
    explain the diagnosis and explain to the parent whether the child is underweight, normal weight, overweight, or obese. Share a
    **DETAIL** treatment plan and suggestions for future steps for the parent.

    At the beginning of the video,
    **show your ID and introduce/identify yourself by showing your face.** Create a video posing as if you are speaking to the parent.  You can print the growth chart or use screen sharing to go over it with the parent.  Make sure that you record your face using the “camera” recording option in Kaltura.

    ## image1.jpeg

    **## GrowthChartAnalysis1.docx**

    Growth Chart Analysis

    ![A person holding a baby and a doctor Description automatically generated](https://www.sweetstudy.com/questions/growth-chart-20930175)

    As a pediatric nurse practitioner, it is essential that you analyze the growth chart and explain the findings to parents so that you can provide guidance in the form of a healthcare plan.

    Resources

    Be sure to review the Learning Resources before completing this activity.
    Click the weekly resources link to access the resources.

    [**WEEKLY RESOURCES**](https://waldenu.instructure.com/courses/172027/modules/items/7099210)

    To prepare:

    · Review this week’s readings and resources along with Week 8.

    · Research and review online pediatric growth charts.

    The Assignment: 2–3 Minute Video

    A 7-year-old male patient comes into your office for a well exam. The child is 47.5 inches tall and weighs 65 lbs.

    By Day 7 of Week 9

    Use Kaltura to create a 2–3-minute video where you, as the pediatric nurse practitioner, explain the child’s growth chart to the parent. Use the appropriate growth chart (you can share your screen to refer to the chart) to explain the child’s height-for-age and weight-for-age percentiles as well as his BMI, including his percentile. Determine the diagnosis and explain to the parent whether the child is underweight, normal weight, overweight, or obese. Share a treatment plan and suggestions for future steps for the parent.

    At the beginning of the video, show your ID and introduce/identify yourself by showing your face. Create a video posing as if you are speaking to the parent. You can print the growth chart or use screen sharing to go over it with the parent. Make sure that you record your face using the “camera” recording option in Kaltura.

    submission information

    To submit your video response entry:

    1. Click on
    **Start Assignment** near the top of the page.

    2. Next, click
    **Text Entry** and then click the
    **Embed Kaltura Media** button.

    3. Select your recorded video under My Media.

    4. Check the box for the End-User License Agreement and select
    **Submit Assignment** for review.

    Rubric

    **NRNP_6541_Week9_Assignment_Rubric**

    | | | |
    | — | — | — |
    | NRNP_6541_Week9_Assignment_Rubric |
    | **Criteria** | **Ratings** | **Pts** |
    | This criterion is linked to a Learning OutcomeAt the beginning of video, shows ID and introduces/identifies self. Shows face on video. | **10 to >5.0 ptsExcellent**<br>**5 to >0.0 ptsGood**<br>**0 ptsFair**<br>**0 ptsPoor** | 10 pts |
    | This criterion is linked to a Learning OutcomeIncludes height-for-age percentiles | **15 to >5.0 ptsExcellent** Includes stature-for-age percentiles<br> <br>**5 to >0.0 ptsGood** Does not include stature-for-age percentiles<br> <br>**0 ptsFair**<br>**0 ptsPoor** | 15 pts |
    | This criterion is linked to a Learning OutcomeIncludes weight-for-age percentiles | **15 to >5.0 ptsExcellent** Includes weight-for-age percentiles<br> <br>**5 to >2.0 ptsGood** Does not include weight-for-age percentiles<br> <br>**2 to >0.0 ptsFair**<br>**0 ptsPoor** | 15 pts |
    | This criterion is linked to a Learning OutcomeIncludes BMI percentiles | **15 to >5.0 ptsExcellent** Includes BMI percentiles<br> <br>**5 to >0.0 ptsGood** Does not include BMI percentiles<br> <br>**0 ptsFair**<br>**0 ptsPoor** | 15 pts |
    | This criterion is linked to a Learning OutcomeProvides a diagnosis and explains to the parent whether the child is underweight, normal weight, overweight, or obese. | **15 to >13.0 ptsExcellent** Clearly and fully explains whether the child is underweight, normal weight, overweight, or obese.<br> <br>**13 to >11.0 ptsGood** Adequately explains whether the child is underweight, normal weight, overweight, or obese.<br> <br>**11 to >10.0 ptsFair** Explains whether the child is underweight, normal weight, overweight, or obese but the response is vague, unclear, or incomplete.<br> <br>**10 to >0 ptsPoor** Insufficient or missing explanation of whether the child is underweight, normal weight, overweight, or obese. | 15 pts |
    | This criterion is linked to a Learning OutcomeShares treatment plan and suggestions for future steps for parent. | **15 to >13.0 ptsExcellent** Clearly and fully explains diagnoses and suggestions for future steps for the parent.<br> <br>**13 to >11.0 ptsGood** Adequately explains diagnoses and suggestions for future steps for the parent.<br> <br>**11 to >10.0 ptsFair** Explains diagnoses and suggestions for future steps for the parent, but the response is vague, unclear, or incomplete.<br> <br>**10 to >0 ptsPoor** Insufficient or missing explanation of diagnoses and suggestions for future steps for the parent. | 15 pts |
    | This criterion is linked to a Learning OutcomeUses a professional and friendly demeanor. | **15 to >13.0 ptsExcellent** Consistently uses a professional and friendly demeanor while maintaining eye contact.<br> <br>**13 to >11.0 ptsGood** Adequately uses a professional and friendly demeanor while maintaining eye contact.<br> <br>**11 to >10.0 ptsFair** Use of a professional and friendly demeanor is inconsistent. Eye contact is not maintainred throughout video.<br> <br>**10 to >0 ptsPoor** Does not use a professional and friendly demeanor. | 15 pts |

    This week you will complete a pediatric growth chart analysis via video.

    As a pediatric nurse practitioner, it is essential that you analyze the growth chart and explain the findings to parents (IN DETAIL) so that you can provide guidance in the form of a healthcare plan.

    In preparation for this assignment,

    ·
    **Research and review online pediatric growth charts.** Locate and use the appropriate growth chart base in patient age and weight

    ·
    **Kaltura is located in the “my media” area of the classroom. Make sure that you record your face using the “camera” recording option in Kaltura.**

    Use Kaltura to create a
    **3-5 to minute video where** you, as the pediatric nurse practitioner, explain the child’s growth chart to the parent. Use the appropriate growth chart (you can share your screen to refer to the chart) to
    explain the child’s height-for-age and weight-for-age percentiles as well as his BMI, including his percentile. Determine and
    explain the diagnosis and explain to the parent whether the child is underweight, normal weight, overweight, or obese. Share a
    **DETAIL** treatment plan and suggestions for future steps for the parent.

    At the beginning of the video,
    **show your ID and introduce/identify yourself by showing your face.** Create a video posing as if you are speaking to the parent.  You can print the growth chart or use screen sharing to go over it with the parent.  Make sure that you record your face using the “camera” recording option in Kaltura.

    ## image1.jpeg

  • [Solved] Explaining how medical care and public health conplement

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    In-depth study guidance and analytical solution covering Explaining how medical care and public health conplement.

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  • [Solved] 620 D4R

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    In-depth study guidance and analytical solution covering 620 D4R.

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  • [Solved] Theory for doctoral Nursing Practice

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    Your task is to create a brief care plan that integrates nursing theory with evidence-based practices. **Scenario:** A 50-year-old patient, Mrs. Linda, with a history of hypertension and anxiety, is admitted for a routine check-up. She is struggling with medication adherence and stress management, w…

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    Assignment Prompt & Instructions

    Your task is to create a brief care plan that integrates nursing theory with evidence-based practices.
    **Scenario:**
    A 50-year-old patient, Mrs. Linda, with a history of hypertension and anxiety, is admitted for a routine check-up. She is struggling with medication adherence and stress management, which have been impacting her blood pressure control. The healthcare team has discussed the need for an intervention to improve her management of both conditions.
    **Steps to Complete the Task:**
    1. **Choose a Nursing Theory:**Select a nursing theory that could guide Mrs. Linda’s care. Possible theories include:
    – **Pender’s Health Promotion Model**
    – **Orem’s Self-Care Deficit Theory**
    – **Peplau’s Interpersonal Relations Theory**
    2. **Select Evidence-Based Practices:** Using recent research, choose **one evidence-based practice** that aligns with your chosen theory. For example, this could involve patient education on managing hypertension, relaxation techniques for stress reduction, or medication adherence strategies.
    3. **Develop a Brief Care Plan:**In a few sentences, outline:
    – **One nursing intervention** based on your chosen theory and the evidence-based practice.
    – **One clinical goal** that focuses on improving Mrs. Linda’s health (e.g., improving blood pressure control or reducing anxiety).
    – **One measurable outcome** to assess the effectiveness of your intervention (e.g., reduction in blood pressure readings or increased adherence to prescribed medication).
    ### Document Type/Template
    – Word Document
    \
    Rubric.pdf](https://www.sweetstudy.com/files/rubric-pdf-10358483 "Rubric.pdf")

  • [Solved] reply to discussion board 7 AT2

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    In-depth study guidance and analytical solution covering reply to discussion board 7 AT2.

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  • [Solved] Help

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    In-depth study guidance and analytical solution covering Help.

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  • [Solved] PHE5020 – Week 3 Project

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    **Week 3 Project – Chi-Square** This assignment focuses on categorical data, and two of the statistics most often used to test hypotheses about categorical data are odds ratios (ORs) and the chi-square. A chi-square is calculated first to identify if two categorical variables are associated with eac…

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    **Week 3 Project – Chi-Square**
    This assignment focuses on categorical data, and two of the statistics most often used to test hypotheses about categorical data are odds ratios (ORs) and the chi-square. A chi-square is calculated first to identify if two categorical variables are associated with each other, and if they are then an odds ratio is often calculated. The disease-OR refers to the odds in favor of disease in the exposed group divided by the odds in favor of the unexposed group. Chi-square statistics measure the difference between the observed counts and the corresponding expected counts. The expected counts are hypothetical counts that would occur if the null hypothesis were true.
    **Part 2: Chi-Square**
    Bain, Willett, Hennekens, Rosner, Belanger, and Speizer (1981) conducted a study of the association between current postmenopausal hormone use and risk of nonfatal myocardial infarction (MI), in which 88 women reporting a diagnosis of MI and 1,873 healthy control subjects were identified from a large population of married female registered nurses aged thirty to fifty-five years. There were 32 women who currently used hormones and had a diagnosis of MI and 56 women reporting a MI and never used hormones. Of the women controls (women who did not report a MI) 825 currently use hormones and 1,048 never used hormones. To test the hypothesis that there is no association between use of postmenopausal hormones and risk of MI, chi-square statistics need to be calculated in SPSS using a 0.05 level of significance. The SPSS data are provided in the link below. The SPSS dataset consists of two variables:
    Click [here](https://myclasses.southuniversity.edu/d2l/common/dialogs/quickLink/quickLink.d2l?ou=128965&type=coursefile&fileId=media%2fweek3%2fSUO_PHE5020_Week3_Part2.sav) to access the SPSS data.
    **Reference:**
    Bain, C., Willett, W., Hennekens, C. H., Rosner, B., Belanger, C., & Speizer,
    F. E. (1981). Use of postmenopausal hormones and risk of myocardial infarction. _Circulation_, 64(1), 42–46.
    Refer to following (https://www.youtube.com/watch?v=ysn-YL9bLdo) on how perform a Chi-square analysis. https://www.youtube.com/watch?v=ysn-YL9bLdo
    Using SPSS, download the data, perform appropriate procedures, and provide calculations.
    In addition, in a Microsoft Word document, provide a written conclusion and interpretation of your results in APA format.
    \
    Week3Project.docx](https://www.sweetstudy.com/files/week3project-docx-10358381 "Week3Project.docx")

  • [Solved] NUR 611 Discussion 4

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    What is the difference between qualitative and quantitative research methods? Give an example of each. **Submission Instructions:** – Your initial post should be at least 500 words, formatted and cited in current APA style with support from at least 2 academic sources. Your initial post is worth 8 p…

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    What is the difference between qualitative and quantitative research methods? Give an example of each.
    **Submission Instructions:**
    – Your initial post should be at least 500 words, formatted and cited in current APA style with support from at least 2 academic sources. Your initial post is worth 8 points.

  • [Solved] W4: 612-D

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  • [Solved] DISC 9 RESPONSES

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    Discussion responses – ## WEEK4DISCUSSION9RESPONSES.docx **## WEEK4DISCUSSION9RESPONSES.docx** **Laura Garcia** Jul 22 8:10am| Last reply Jul 23 10:18am Manage Discussion by Laura Garcia Reply from Laura Garcia In the modern age, digital inclusion and broadband access should be treated as an additi…

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    Discussion responses

    – ## WEEK4DISCUSSION9RESPONSES.docx

    **## WEEK4DISCUSSION9RESPONSES.docx**

    **Laura Garcia**

    Jul 22 8:10am| Last reply Jul 23 10:18am

    Manage Discussion by Laura Garcia

    Reply from Laura Garcia

    In the modern age, digital inclusion and broadband access should be treated as an additional social determinant of health (SDH), or at least an important extension to the other SDHs. Healthy People 2030 lists five areas: access to and quality of health care, access to and quality of education, social and community context, economic stability, and neighborhoods and the built environment. Yet, as the health system and society as a whole become more digitalized, access to a reliable internet connection and skills to navigate the web have a direct effect on health (Turcios, 2023). Digital connectivity is necessary for accessing trustworthy health information, communicating with providers, participating in public health programs, and in some cases, even receiving medical care remotely. A lack of digital inclusion therefore hinders the ability of individuals, particularly in rural or low-income communities, to benefit from these health services. For instance, during the COVID-19 pandemic, many communities with limited internet access were unable to take full advantage of telemedicine services, which affected continuity of care (Early & Hernandez, 2021).

    Digital health, including electronic health records, patient portals, mobile health apps, and telemedicine platforms, can help reduce social and health inequalities but also exacerbate them. On one hand, these innovations help patients be more engaged in their healthcare. EHRs with patient portals provide access to lab results, medication lists, reminders, and health education messages that can be tailored to individuals’ needs. Patients can reach their providers or seek medical help without the delay or cost of an in-person visit by using telemedicine platforms. On the other hand, these resources have their use restricted for people with low digital literacy, poor devices, or no reliable internet connection. For example, an older adult with multiple chronic conditions may benefit from a mobile health app that helps them monitor blood pressure and provide feedback on self-care, but only if they have broadband access and can use the technology (Sieck, et al., 2021).

    Telemedicine may be the most straightforward example of the interaction between digital inclusion and the other SDHs. Virtual visits with a provider are a convenient and often more affordable alternative to in-person appointments, which can take time off work or require transportation. But the lack of high-quality internet or suitable devices precludes people from using this care delivery modality. Patient portals have the potential to make doctor-patient communication easier, leading to better treatment adherence and health outcomes, but are underused among communities that face the digital divide. Digital inclusion is best either added as a new SDH or included as a cross-cutting issue that directly impacts each of the other five domains. This is necessary to close the gaps, move toward equity, and make sure that digital health innovations reach all members of society and leave no one behind (Sieck, et al., 2021).

    References

    Early, J., & Hernandez, A. (2021, May 6). Digital Disenfranchisement and COVID-19: Broadband Internet Access as a Social Determinant of Health. https://doi.org/10.1177/15248399211014490

    Sieck, C. J., Sheon, A., Ancker, J. S., Castek, J., Callahan, B., & Siefer, A. (2021, March 17). Digital inclusion as a social determinant of health.
    _NPJ Digit Med. 4,_ 52. https://doi.org/10.1038/s41746-021-00413-8

    Turcios, Y. (2023, March 22). Digital Access: A Super Determinant of Health.
    _Substance Abuse and Mental Health Services Administration [SAMHSA]_. https://www.samhsa.gov/blog/digital-access-super-determinant-health

    · Expand discussion thread from Laura Garcia

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    **1 Reply, 1 Unread**

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    **IB**

    [**Isata Bangura**](https://waldenu.instructure.com/courses/172202/users/169460)

    Jul 23 12:43am| Last reply Jul 23 7:36pm

    Manage Discussion by Isata Bangura

    Reply from Isata Bangura

    **Digital Inclusion as a Social Determinant of Health**

    In my view, digital inclusion and broadband access should be added as a key area of the social determinants of health (SDOH). In today’s healthcare landscape, digital tools like telemedicine, electronic health records (EHRs), and patient portals are integral to receiving timely, quality care. Without broadband access, marginalized populations, especially in rural or low-income areas, face barriers to engaging with these tools, thus deepening health inequities (Campos-Castillo & Anthony, 2021). For example, telehealth can reduce transportation barriers, but it’s only effective when patients have reliable internet and digital literacy. Similarly, patient portals help individuals manage chronic conditions, but those without internet or adequate devices miss out on benefits like medication tracking or appointment scheduling (Walker et al., 2022). As broadband becomes essential to health service delivery, its absence directly limits access and quality of care.

    Including broadband access among SDOH is a matter that should be handled with urgency. According to Sieck et al. (2021), digital exclusion disproportionately affects the elderly, low-income, and racially marginalized populations, exacerbating existing disparities in health outcomes. Including broadband access in SDOH frameworks would prompt policy-level investments and interventions aimed at digital equity, such as subsidized internet or community tech education. Therefore, just as housing, education, and income are essential to health, so too is the ability to engage with digital health tools.

    **References**

    Campos-Castillo, C., & Anthony, D. L. (2021). Racial and ethnic differences in self-reported telehealth use during the COVID-19 pandemic: A secondary analysis of a US survey of internet users from late March.
    _Journal of the American Medical Informatics Association_, 28(1), 119–125. https://doi.org/10.1093/jamia/ocaa221

    Sieck, C. J., Sheon, A., Ancker, J. S., Castek, J., Callahan, B., & Siefer, A. (2021). Digital inclusion as a social determinant of health.
    _NPJ Digital Medicine_, 4(1), 52. https://doi.org/10.1038/s41746-021-00413-8

    Walker, D. M., Hefner, J. L., Fareed, N., Huerta, T. R., & McAlearney, A. S. (2022). Exploring the digital divide: Age and race disparities in use of an inpatient portal.
    _Telemedicine and e-Health_, 28(1), 64–70. https://doi.org/10.1089/tmj.2020.0327

    **## WEEK4DISCUSSION9RESPONSES.docx**

    **Laura Garcia**

    Jul 22 8:10am| Last reply Jul 23 10:18am

    Manage Discussion by Laura Garcia

    Reply from Laura Garcia

    In the modern age, digital inclusion and broadband access should be treated as an additional social determinant of health (SDH), or at least an important extension to the other SDHs. Healthy People 2030 lists five areas: access to and quality of health care, access to and quality of education, social and community context, economic stability, and neighborhoods and the built environment. Yet, as the health system and society as a whole become more digitalized, access to a reliable internet connection and skills to navigate the web have a direct effect on health (Turcios, 2023). Digital connectivity is necessary for accessing trustworthy health information, communicating with providers, participating in public health programs, and in some cases, even receiving medical care remotely. A lack of digital inclusion therefore hinders the ability of individuals, particularly in rural or low-income communities, to benefit from these health services. For instance, during the COVID-19 pandemic, many communities with limited internet access were unable to take full advantage of telemedicine services, which affected continuity of care (Early & Hernandez, 2021).

    Digital health, including electronic health records, patient portals, mobile health apps, and telemedicine platforms, can help reduce social and health inequalities but also exacerbate them. On one hand, these innovations help patients be more engaged in their healthcare. EHRs with patient portals provide access to lab results, medication lists, reminders, and health education messages that can be tailored to individuals’ needs. Patients can reach their providers or seek medical help without the delay or cost of an in-person visit by using telemedicine platforms. On the other hand, these resources have their use restricted for people with low digital literacy, poor devices, or no reliable internet connection. For example, an older adult with multiple chronic conditions may benefit from a mobile health app that helps them monitor blood pressure and provide feedback on self-care, but only if they have broadband access and can use the technology (Sieck, et al., 2021).

    Telemedicine may be the most straightforward example of the interaction between digital inclusion and the other SDHs. Virtual visits with a provider are a convenient and often more affordable alternative to in-person appointments, which can take time off work or require transportation. But the lack of high-quality internet or suitable devices precludes people from using this care delivery modality. Patient portals have the potential to make doctor-patient communication easier, leading to better treatment adherence and health outcomes, but are underused among communities that face the digital divide. Digital inclusion is best either added as a new SDH or included as a cross-cutting issue that directly impacts each of the other five domains. This is necessary to close the gaps, move toward equity, and make sure that digital health innovations reach all members of society and leave no one behind (Sieck, et al., 2021).

    References

    Early, J., & Hernandez, A. (2021, May 6). Digital Disenfranchisement and COVID-19: Broadband Internet Access as a Social Determinant of Health. https://doi.org/10.1177/15248399211014490

    Sieck, C. J., Sheon, A., Ancker, J. S., Castek, J., Callahan, B., & Siefer, A. (2021, March 17). Digital inclusion as a social determinant of health.
    _NPJ Digit Med. 4,_ 52. https://doi.org/10.1038/s41746-021-00413-8

    Turcios, Y. (2023, March 22). Digital Access: A Super Determinant of Health.
    _Substance Abuse and Mental Health Services Administration [SAMHSA]_. https://www.samhsa.gov/blog/digital-access-super-determinant-health

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    [**Isata Bangura**](https://waldenu.instructure.com/courses/172202/users/169460)

    Jul 23 12:43am| Last reply Jul 23 7:36pm

    Manage Discussion by Isata Bangura

    Reply from Isata Bangura

    **Digital Inclusion as a Social Determinant of Health**

    In my view, digital inclusion and broadband access should be added as a key area of the social determinants of health (SDOH). In today’s healthcare landscape, digital tools like telemedicine, electronic health records (EHRs), and patient portals are integral to receiving timely, quality care. Without broadband access, marginalized populations, especially in rural or low-income areas, face barriers to engaging with these tools, thus deepening health inequities (Campos-Castillo & Anthony, 2021). For example, telehealth can reduce transportation barriers, but it’s only effective when patients have reliable internet and digital literacy. Similarly, patient portals help individuals manage chronic conditions, but those without internet or adequate devices miss out on benefits like medication tracking or appointment scheduling (Walker et al., 2022). As broadband becomes essential to health service delivery, its absence directly limits access and quality of care.

    Including broadband access among SDOH is a matter that should be handled with urgency. According to Sieck et al. (2021), digital exclusion disproportionately affects the elderly, low-income, and racially marginalized populations, exacerbating existing disparities in health outcomes. Including broadband access in SDOH frameworks would prompt policy-level investments and interventions aimed at digital equity, such as subsidized internet or community tech education. Therefore, just as housing, education, and income are essential to health, so too is the ability to engage with digital health tools.

    **References**

    Campos-Castillo, C., & Anthony, D. L. (2021). Racial and ethnic differences in self-reported telehealth use during the COVID-19 pandemic: A secondary analysis of a US survey of internet users from late March.
    _Journal of the American Medical Informatics Association_, 28(1), 119–125. https://doi.org/10.1093/jamia/ocaa221

    Sieck, C. J., Sheon, A., Ancker, J. S., Castek, J., Callahan, B., & Siefer, A. (2021). Digital inclusion as a social determinant of health.
    _NPJ Digital Medicine_, 4(1), 52. https://doi.org/10.1038/s41746-021-00413-8

    Walker, D. M., Hefner, J. L., Fareed, N., Huerta, T. R., & McAlearney, A. S. (2022). Exploring the digital divide: Age and race disparities in use of an inpatient portal.
    _Telemedicine and e-Health_, 28(1), 64–70. https://doi.org/10.1089/tmj.2020.0327