MTHD 8004 Assignment Research Paper 6 Research Proposal

MTHD 8004 Assignment Research Paper 6 Research Proposal
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MTHD 8004 Assignment Research Paper 6 Research Proposal

 

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MTHD8004

 

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    Title

    The Impact of Telehealth on Patient Outcomes and Satisfaction in Rural Healthcare Settings

    Introduction

    Patients from rural areas experience several challenges including limited availability of medical facilities, dispersed healthcare professionals, and high costs of transport, which results in inadequate healthcare services for patients with chronic diseases (Mehta et al., 2022). There has been a realization of the gaps that exist in terms of reach, consultation, follow, and monitoring leading to the invention of telehealth which is an ideal method of consultation and follow-up.

    This research paper assesses the impact of telehealth on enhancing patient health outcomes and satisfaction and establishes cultural and technological gaps hindering the implementation of the technology. By highlighting the role of telehealth in rural healthcare delivery, this investigation seeks to make a useful contribution to the understanding of the role of telehealth for patient outcomes, chronic disease management, and healthcare equality, which will be important to healthcare executives, policymakers, and telehealth technologists.

    Purpose Statement 

    This research proposes to assess the success of telehealth in enhancing the quality and satisfaction of patients living with chronic illnesses including diabetes, hypertension, and heart diseases in rural facilities. Concerning the circumstances of delivery of healthcare in those regions including lack of facilities, few professionals, and transport modalities, telehealth provides one of the ways for delivering care other than traditional face-to-face care (Schlief et al., 2022).

    This research will also determine the effectiveness of telehealth in promoting compliance with the recommended forms of treatment and the reduction of hospitalization rates, as the patient’s satisfaction with the quality, accessibility, and culturally appropriate of the offered telehealth services. In this research paper, the goals of the discoveries are to offer methodological recommendations that will help improve the practice of telehealth and guarantee that the healthcare needs of the citizens within rural regions are well met.

    Research Problem(s) 

    There is always a huge gap when it comes to basic healthcare needs among residents in rural areas. Lack of healthcare infrastructure, and scarcity of healthcare personnel, provide the victims little chance to control their diseases. High transportation costs and long travel distances to medical centers further worsen these challenges, creating delays in treatment and increasing health risks (Filip et al., 2022).

    This has led to the seeking of telehealth as a possible solution to provide remote healthcare services. An empirical assessment of the delivery model of telehealth further helps evaluate the feasibility, the constraints of the model, the appropriateness of delivering care through telehealth, and the quality of care offered to underserved rural populations.

    Research Questions and Hypotheses 

    RQ1

    How does telehealth impact patient health outcomes in rural areas?

    • H₀ (Null Hypothesis): Telehealth has no significant impact on rural patient health outcomes.
    • Hₐ (Alternative Hypothesis): Telehealth improves rural patient health outcomes.

    RQ2

    How satisfied are patients in rural settings with telehealth services compared to in-person care?

    • H₀ (Null Hypothesis):There is no difference in satisfaction between telehealth and in-person care.
    • Hₐ (Alternative Hypothesis): Telehealth increases satisfaction due to improved accessibility and convenience.

    RQ3

    What cultural or technological factors affect telehealth adoption in rural settings?

    • H₀ (Null Hypothesis):Telehealth adoption in rural settings is not affected by cultural or technological factors.
    • Hₐ (Alternative Hypothesis): Telehealth adoption in rural areas is influenced to a large extent by cultural and technological factors.

    Audiences 

    This study’s findings will be especially relevant to those who work in telehealth service developers, rural healthcare researchers, healthcare providers, and policymakers, among others. The evidence can be used by policymakers in developing policies that support the expansion of telehealth infrastructure as a means of providing care to underserved rural areas (Palozzi et al., 2020). The impact of telehealth on patient outcomes and satisfaction will be beneficial to healthcare providers and administrators to implement best practices and improve service delivery. 

    Relevant Theory, Concept, Or Practice 

    The basis of this study is Leininger’s Theory of Culture Care Diversity and Universality and the Health Belief Model (HBM). The theory of Leininger is built on providing culturally sensitive care as per the patient’s beliefs, values, and preferences.

    This is important in a rural area as cultural factors can lead to health-seeking behavior (García et al., 2024). Cultural diversity is added to better meet the needs of the rural population with more acceptance and better use of telehealth services. To investigate patient perceptions of telehealth, the study is based on the Health Belief Model (HBM) (Holtz et al., 2024). This solves for which technology familiarity, trust, and accessibility affect the adoption and use of telehealth services. 

    Literature Review 

    Rural communities have limited or no access to health facilities, and there are no specialized medical practitioners. Such communities face huge divides in terms of health care that includes care that is timely and that is effective. Airhihenbuwa et al. (2021) mentioned that for chronic condition types like diabetes, hypertension, and heart disease, one should receive continuous medical attendance. Along with geographic isolation, there are also more health inequities, which makes people poorer in health outcomes and higher in hospitalization rates. These disparities need to be addressed using innovative entry into care delivery in underserved rural settings to go around the logistical barriers to care.

    Studies show that telehealth presents a way to address the imbalance in access to health care by people in rural areas because the approach embraces consultations, observation, and subsequent check-ups from a distance. Telehealth has been found to remove the traditional barriers relating to geography and cost (Nittari et al., 2022). The use of telehealth advances patient status checks for chronic illnesses, more compliance with adhered treatment regimens, and reduced hospitalization from preventable circumstances as established by various researchers (Khera et al., 2020). For instance, virtual consultation has been applied in the assessment of blood glucose in diabetic patients and the blood pressure of patients with hypertension. 

    This paper also claims that while patients may embrace telehealth due to their cultural beliefs, they can also reject it due to the same reasons. Culture Care Diversity and Universality Theory by Leininger is core to delivering care to patients with cultural beliefs which are vital in overcoming these barriers (Ndirangu, 2021). Other constraints limiting the uptake of telehealth include: Technological challenges, poor internet connectivity, lack of familiarity with telehealth platforms, and concerns about privacy amongst many others.

    To understand these barriers, a conceptual framework known as the Health Belief Model (HBM) explains the perceived benefits of telehealth, perceived barriers, and self-efficacy in patients (Ndirangu, 2021). To make telehealth services available, acceptable, and effective for improving health outcomes and patient satisfaction in rural populations it is necessary to address both cultural and technological factors.

    Relevant Background of the Research Site 

    The rural healthcare settings selected for this study will be geographically isolated and lack healthcare facilities and medical professionals, limiting access to traditional in-person medical services. The focus will be on adult patients with chronic conditions that require constant monitoring and care including diabetes, hypertension, and heart diseases (Rashidy et al., 2021).

    To make these findings relevant, participants will be selected among those who have had an experience with telehealth services for at least three months which is enough time to assess changes in their experiences, satisfaction, and health. The standard helps the aggregation of valid information on the utility of telehealth in the management of chronic diseases, reducing the cases of hospital transfers and addressing the challenge of access constraints for patients in remote and rural areas. 

    Research Design and Methods 

    The comparison of the effects of telehealth on patient outcomes and patient satisfaction shall be done by employing a quantitative research design. The techniques employed in the study include interviews and comparison of medical reports. Patient satisfaction with telehealth services, the barriers to the use of telehealth, and its accessibility are considered. The change in health status, which can be quantified will be assessed by medical record review (Voukelatou et al., 2020). This approach links survey data which is inherently subjective, with clinical data, and thus offers a robust evaluation of the potential of telehealth in managing chronic diseases and understanding the issues affecting rural communities. 

    Data Collection Plan 

    The participants to be sampled will be arranged according to their age, gender, and other chronic diseases among others. To establish the statistical and generality of the results, power analysis has been used to set the sample size at 500 participants. The two main instruments to be used in data collection include surveys and patient medical records. In terms of patient satisfaction, perceived telehealth barriers, and availability, services will be evaluated, and declarative health outcomes including hospitalization rates, blood glucose levels, and blood pressure measurements will be obtained from electronic health records (Voukelatou et al., 2020).

    Population, Sample, and Sampling Plan

    The target population used for this study is all adult patients in rural areas who are using telehealth to manage their chronic diseases such as diabetes, hypertension, and heart diseases. To make sure that the participants in the sample have different demographics, and different ages, genders, and health statuses, they will be of different demographics (Wunsch et al., 2022). This will be through splitting the population into some key subsets using a stratified random sampling method to ensure that all demographic categories are well represented. 

    Potential Ethical Issues and Strategies To Address

    Data de-identification techniques will be used to protect participants’ data by removing personal identifiers to protect anonymity (Rodriguez et al., 2024). Further on complying with HIPAA guidelines will ensure that medical records and other sensitive information are operated privately. All participants will provide informed consent with an explanation of the study’s purpose, the risks involved, and the participant’s rights to withdraw at any time. This will however facilitate the research to follow ethical standards and to prioritize transparency and trust as well as the protection of participant rights through the process of data collection.

    Threats to Validity

    Both internal and external validity threats are recognized by this study. An internal validity issue would be that patient recall bias or inconsistent telehealth use could be occurring and that they are not accurately reporting their experiences or the adherence to telehealth services. To reduce this, medical record objective data will be collected to ensure accuracy in measuring health outcomes, such as hospitalization rate, blood glucose levels, and blood pressure readings.

    Such a study may be limited to external validity because rural settings were its focus, therefore, findings may not generalize to urban or suburban populations (Rodriguez et al., 2024). This will be addressed by creating a rural population that is diverse by all means of age, gender, and chronic conditions. These are implementing strategies to improve the reliability and application of the study to ensure robust and credible results.

    Data Collection Instruments

    It will outline the primary data collection instruments for this study, namely surveys, and medical record templates. Likert scale questions will be used to gauge patient satisfaction with the telehealth services, ease of access, and perceptions of barriers such as technology-based obstacles, or cultural issues to name a few. The data that will be collected from these structured questions will be on patient experience and perception (Campbell et al., 2021). Furthermore, for collecting quantitative health outcome data, we will use medical record forms including hospitalization rate, blood glucose of diabetic patients, and blood pressure of hypertensive patients.

    Conclusion

    In conclusion, the implications of patient health status and satisfaction with telehealth in rural areas about chronic disease management including diabetes, hypertension, and heart diseases. This research is useful as it seeks to identify the areas that telehealth can be well applied and areas that pose challenges to its implementation through the use of both surveys and medical records review.

    The findings will be useful to healthcare managers, policymakers, and telehealth designers in evidence-based design and deployment of telehealth services that can help in eradicating inequalities in healthcare in rural areas. It will also inform future studies of telehealth adoption to ensure rapid progress in accessible and effective healthcare delivery where needed.

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        Airhihenbuwa, C. O., Tseng, T.-S., Sutton, V. D., & Price, L. (2021). Global perspectives on improving chronic disease prevention and management in diverse settings. Preventing Chronic Disease18(33). https://doi.org/10.5888/pcd18.210055

         

        Campbell, R., Ju, A., King, M. T., & Rutherford, C. (2021). Perceived benefits and limitations of using patient-reported outcome measures in clinical practice with individual patients: A systematic review of qualitative studies. Quality of Life Research31(6), 1597–1620. https://doi.org/10.1007/s11136-021-03003-z

         

        García, R. M. C., Gonzalez, V. V., García, I. C., Pérez, L. P., Fernández, C. D., Caz, A. M., Cámara, R. S., García, M. E. A., Madrigal, M., & Pérez, I. (2024). Breast ironing from the perspective of transcultural nursing by madeleine leininger: A narrative review. Nursing Reports14(4), 3677–3688. https://doi.org/10.3390/nursrep14040269

         

        Rashidy, N. E., Sappagh, S. E., Islam, S. M. R., Bakry, H. M. E., & Abdelrazek, S. (2021). Mobile health in remote patient monitoring for chronic diseases: Principles, trends, and challenges. Diagnostics11(4), 607. https://doi.org/10.3390/diagnostics11040607

         

        Filip, R., Puscaselu, R. G., Anchidin-Norocel, L., Dimian, M., & Savage, W. K. (2022). Global challenges to public health care systems during the COVID-19 pandemic: A review of pandemic measures and problems. Journal of Personalized Medicine12(8), 1295. https://doi.org/10.3390/jpm12081295

         

        Holtz, B. E., Mitchell, K. M., Strand, D., & Hirko, K. (2024). Perceptions of telehealth-based cancer support groups at a rural community oncology program. Journal of Cancer Education: The Official Journal of the American Association for Cancer Educationhttps://doi.org/10.1007/s13187-024-02428-7

         

        Khera, A., Baum, S. J., Gluckman, T. J., Gulati, M., Martin, S. S., Michos, E. D., Navar, A. M., Taub, P. R., Toth, P. P., Virani, S. S., Wong, N. D., & Shapiro, M. D. (2020). Continuity of care and outpatient management for patients with and at high risk for cardiovascular disease during the COVID-19 pandemic: A scientific statement from the American Society for preventive cardiology. American Journal of Preventive Cardiology1, 100009. https://doi.org/10.1016/j.ajpc.2020.100009

         

        Mehta, S. M., Chang, S., Oh, H. J., Kwon, J.-H., & Kim, S. (2022). An investigation of construction project efficiency: Perception gaps and the interrelationships of critical factors. Buildings12(10), 1559. https://doi.org/10.3390/buildings12101559

         

        Ndirangu, J. W. (2021). Nurses’ multicultural transactions with critically ill patients’ kins and its impact on quality of care: A study at Kenyatta national hospital critical care unit. Repository.uonbi.ac.ke. http://erepository.uonbi.ac.ke/handle/11295/160958

         

        Nittari, G., Savva, D., Tomassoni, D., Tayebati, S. K., & Amenta, F. (2022). Telemedicine in the COVID-19 era: A narrative review based on current evidence. International Journal of Environmental Research and Public Health19(9), 5101. https://doi.org/10.3390/ijerph19095101

         

        Palozzi, G., Schettini, I., & Chirico, A. (2020). Enhancing the sustainable goal of access to healthcare: Findings from a literature review on telemedicine employment in rural areas. Sustainability12(8), 3318. https://doi.org/10.3390/su12083318

         

        Rodriguez, A., Lewis, S. C., Eldridge, S., Jackson, T., & Weir, C. J. (2024). A survey on UK researchers’ views regarding their experiences with de-identification, anonymization, release methods, and re-identification risk estimation for clinical trial datasets. Clinical Trialshttps://doi.org/10.1177/17407745241259086

         

        Schlief, M., Saunders, K. R. K., Appleton, R., Barnett, P., Vera San Juan, N., Foye, U., Olive, R. R., Machin, K., Chipp, B., Shah, P., Lyons, N., Tamworth, C., Persaud, K., Badhan, M., Black, C.-A., Sin, J., Riches, S., Graham, T., Greening, J., & Pirani, F. (2022). What works for whom with telemental health: A rapid realist review (Preprint). Interactive Journal of Medical Research11(2). https://doi.org/10.2196/38239

         

        Voukelatou, V., Gabrielli, L., Miliou, I., Cresci, S., Sharma, R., Tesconi, M., & Pappalardo, L. (2020). Measuring objective and subjective well-being: Dimensions and data sources. International Journal of Data Science and Analytics11(11). https://doi.org/10.1007/s41060-020-00224-2

         

        Wunsch, K., Kienberger, K., & Niessner, C. (2022). Changes in physical activity patterns due to the COVID-19 pandemic: A systematic review and meta-analysis. International Journal of Environmental Research and Public Health19(4), 2250. https://doi.org/10.3390/ijerph19042250

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