Comparative Analysis of Patient Satisfaction between Telehealth and In-Person Nursing Care
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of the Study
- 1.3Statement of the Problem
- 1.4Aim and Objectives of the Study
- 1.5Research Questions
- 1.6Research Hypotheses
- 1.7Significance of the Study
- 1.8Scope and Delimitation of the Study
- 1.9Limitations of the Study
- 1.10Organisation of the Study
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptual Framework for Patient Satisfaction in Telehealth and In-Person Care
- 2.2Definitions and Core Concepts of Telehealth Nursing Services
- 2.3Definitions and Core Concepts of In-Person Nursing Care
- 2.4Theoretical Framework 1: Technology Acceptance Model (TAM) in Telehealth
- 2.5Theoretical Framework 2: Patient-Centered Care Theory in Nursing Practice
- 2.6Empirical Review of Patient Satisfaction in Telehealth Nursing
- 2.7Empirical Review of Patient Satisfaction in Traditional Nursing Care
- 2.8Comparative Studies on Telehealth and In-Person Nursing Satisfaction
- 2.9Identified Gaps in the Current Literature
- 2.10Conceptual Model of Patient Satisfaction in Telehealth versus In-Person Nursing
- 2.11Summary and Synthesis of Literature Findings
- 2.12Research Framework and Hypotheses Development
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design and Approach
- 3.2Philosophical Paradigm Underpinning the Study
- 3.3Population of the Study and Study Setting
- 3.4Sample Size Determination and Sampling Technique
- 3.5Data Collection Instruments and Sources
- 3.6Validity and Reliability of Data Collection Tools
- 3.7Data Collection Procedures and Ethical Considerations
- 3.8Data Analysis Methods and Procedures
- 3.9Analytical Framework and Model Specification
- 3.10Criteria for Ethical Approval and Consent Protocols
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS, AND DISCUSSION OF FINDINGS
- 4.1Data Presentation and Descriptive Statistics of Participants
- 4.2Analysis of Patient Satisfaction Levels in Telehealth Nursing
- 4.3Analysis of Patient Satisfaction in In-Person Nursing Care
- 4.4Comparative Analysis of Satisfaction Scores between the Two Groups
- 4.5Hypothesis Testing for Differences in Satisfaction
- 4.6Interpretation of Key Findings and Statistical Significance
- 4.7Correlation between Demographic Variables and Satisfaction
- 4.8Discussion of Findings in Relation to Reviewed Literature and Theoretical Frameworks
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION, AND RECOMMENDATIONS
- 5.1Summary of Key Findings
- 5.2Conclusion Based on Research Objectives and Results
- 5.3Contributions to Nursing Practice and Knowledge
- 5.4Practical Recommendations for Nursing Practice and Policy
- 5.5Limitations of the Study and Implications for Future Research
- 5.6Suggestions for Further Studies
Thesis Abstract
The rapid expansion of telehealth services has transformed healthcare delivery, raising questions about patient satisfaction relative to traditional in-person nursing care, particularly in the context of increasing digital health integration. This study aims to compare patient satisfaction levels between telehealth and in-person nursing care to identify factors influencing patient perceptions and evaluate the relative effectiveness of these modalities. The specific objectives include determining the overall patient satisfaction scores for both care modes, identifying demographic and clinical variables associated with satisfaction, examining the perceived quality of communication and care delivery, and exploring patients’ preferences and expectations regarding nursing care. A cross-sectional comparative research design was employed. The study population comprised adult patients receiving nursing care in a metropolitan healthcare facility, with the sample drawn from a stratified random sampling frame to ensure representativeness. A total of 350 patients, with 175 receiving telehealth nursing services and 175 receiving in-person care, participated in the study. Data were collected using a structured questionnaire adapted from validated patient satisfaction surveys, incorporating Likert-scale items measuring dimensions such as communication effectiveness, perceived empathy, technical competence, and overall satisfaction. The questionnaire’s validity was established through expert review and a pilot test, while reliability was confirmed with a Cronbach’s alpha of 0.89. Ethical approval was obtained, and written informed consent was secured from all participants. Data analysis involved descriptive statistics to characterize the sample and satisfaction scores, followed by inferential analyses. Independent samples t-tests and ANOVA were used to compare mean satisfaction scores between care modalities and across demographic strata. Multiple regression analysis was conducted to identify predictors of patient satisfaction, controlling for confounding variables. Additionally, qualitative responses from open-ended items were thematically analyzed to gain deeper insights into patient perceptions. The study was guided by the Technology Acceptance Model and Carl Rogers’ Person-Centered Theory, providing a framework for understanding patient engagement and satisfaction in different care settings. It is anticipated that findings will reveal distinct differences in satisfaction levels between telehealth and in-person nursing services, with variables such as age, technological literacy, and clinical condition significantly influencing perceptions. Patients receiving in-person care are expected to report higher satisfaction related to interpersonal communication, whereas telehealth patients may cite convenience and accessibility as advantageous. The study is projected to demonstrate that while telehealth services are comparable in technical competence, gaps remain in perceived empathy and relational aspects of care. These results will contribute to the ongoing discourse on optimizing telehealth nursing practices and patient-centered care. This research’s contribution to knowledge lies in providing a rigorous comparative analysis grounded in empirical data, offering evidence-based insights into patient preferences and satisfaction drivers in different care contexts. It advances understanding of the conditions under which telehealth can effectively supplement traditional nursing practices without compromising patient satisfaction, thereby informing policy and practice improvements. The study recommends tailored interventions to enhance communication and empathetic engagement in telehealth settings, emphasizes the importance of technological literacy, and advocates for continuous quality assessment of telehealth services. In conclusion, the findings of the study will inform healthcare providers and policymakers on strategies to balance technological innovation with patient-centered care principles, ultimately advancing the quality and accessibility of nursing services. Future research is suggested to explore longitudinal impacts of telehealth adoption on patient satisfaction and health outcomes, and to evaluate specific interventions aimed at bridging identified satisfaction gaps.
Thesis Overview
This research aims to compare how satisfied patients are with telehealth nursing services versus traditional in-person nursing care. As healthcare continues to evolve, especially with the rise of digital technology, understanding patient experiences with different modes of care delivery is crucial. Many health systems have adopted telehealth to improve access and convenience, but it is important to determine whether patients feel equally satisfied with this approach compared to face-to-face interactions. The study addresses the gap in current knowledge about the specific factors influencing patient satisfaction in these two settings, which can guide healthcare providers in improving service quality.
The researcher will start by reviewing existing literature to understand what previous studies have found about patient satisfaction in both contexts. Then, the study will adopt a cross-sectional design, surveying patients who have recently experienced both telehealth and in-person nursing care within the same healthcare facility. A sample size of approximately 300 patients will be selected using stratified random sampling to ensure diversity in age, gender, and health conditions. Data collection will involve structured questionnaires that assess various dimensions of satisfaction, such as communication, comfort, perceived quality, and overall experience.
Data will be analyzed using descriptive statistics to summarize patient responses, and inferential statistics, such as t-tests or ANOVA, to compare satisfaction levels between the two groups. Regression analysis may be employed to identify key predictors of satisfaction. The goal is to discover whether significant differences exist and what factors influence patient perceptions.
The study’s contribution lies in providing empirical evidence on patient preferences, which can guide healthcare providers in optimizing care delivery models. The expected outcome is an understanding of how telehealth compares to traditional care from the patient’s perspective, along with recommendations for improving telehealth services. Ultimately, this research could support more informed decision-making about integrating telehealth into routine nursing practice, ensuring patient-centered care that meets diverse needs.