Article Analysis

 

 

 

Article Analysis

 

 

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Article Analysis

The current technological advancement in the field of healthcare has brought significant change in the global society. This transformation has led to the development of several healthcare programs such as virtual hybrid hospital-at-home which has extensively replaced the traditional hospital-at-home models. The paper scrutinizes two quantitative research articles in the field of healthcare seeking to determine the level of satisfaction of patients under a Novel Virtual Hybrid Hospital at Home. Maniaci et al. (2022) in their study titled “Overall patient experience with a virtual hybrid hospital at home program” delves into the general patients’ experience with Advanced Care at Home. Secondly, Chadha et al. (2022) in their study titled “Surgical Patient Satisfaction with a Virtual Hybrid Care Hotel Model: A Retrospective Cohort Study” offer insights into the experience of surgical patients under the same program of Advanced Care at Home.

Independent and Dependent Variables

The two studies use patient experience or satisfaction as the dependent variable. For instance, the level of satisfaction for patients under the Advanced Care at Home program is the main outcome measured on the basis of the responses received from the survey and Likert Scale questions established. The independent variable is the type of hospital-at-home model, as this is a factor that potentially impacts or influences the patient’s feedback. In other words, the researchers are more interested in gaining an understanding of how the model influences patient experience compared to the traditional models.

Population of Interest

Maniaci et al. (2022) study utilizes a sample population of patients who were admitted to the Care Hotel at Mayo Clinic in Florida between July 23, 2020, and June 4, 2021. This population comprises individuals who received the virtual medicine hybrid model of care after undergoing low-risk surgeries. Similarly, Chadha et al. (2022) study used a sample population of patients enrolled in the Mayo Clinic Advanced Care at Home program. The patients received the survey through email and were requested to provide their feedback on their experience with the virtual hybrid model of care.

Sample Population

According to Chadha et al, (2022) study, the sample population consisted of 93 patients admitted and Mayo Clinic Care Hotel in Florida. This translates to 93 responses regarding the virtual medicine hybrid model of care provided at the Care Hotel. On the other hand, Maniaci et al. (2022) used a sample of 99 patients which translates to 99 surveys administered to the patients in Mayo Clinic’s Advanced Care at Home program. However, out of the 99 surveys that were administered, 41 partially or completely finished the surveys and returned them for quantitative analysis, resulting in a response rate of 41.4%. Convenience sampling where selecting participants based on their availability over the time period of data collection was applied in the first study.

Patients Level of Satisfaction/Experience

In the first study by Maniaci et al. (2022), data analysis of the Likert-type questions was employed using standard descriptive statistics to analyze the collected data. Frequency distribution and percentages were employed to calculate the mean score of each answered question. Similarly, confidence intervals were calculated using the mean confidence interval formula based on the sample standard deviation. Additionally, the Shapiro–Wilk test was used to check if the normal distribution model fit the observed Likert-type scores. A p-value of ⩽0.05 was considered statistically significant. According to Maniaci et al. (2022), the patients highly recommended Advanced care at Home translating to positive experience with the services offered under the program. Similarly, Chadha et al. (2022), argued that the respondents preferred both the combination of in-person and virtual modes of medical care as a means of providing a good overall experience for patients following low-risk surgeries and procedures.

Conclusion

The two quantitative research articles underscore the transformational effect of technological advancement on the healthcare industry. In other words, the findings highlight the efficacy of the virtual hybrid hospital at home model in improving patient satisfaction with the virtual hybrid hospital at home. Therefore, it can be concluded that the progressive evolution of healthcare systems and the emerging insights contribute heavily to the ongoing debate about optimizing patient-centered care through innovative tech solutions.

 

References

Chadha, R. M., Paulson, M. R., Avila, F. R., Torres-Guzman, R. A., Maita, K., Garcia, J. P., ... & Maniaci, M. J. (2022). Surgical patient satisfaction with a virtual hybrid care hotel model: a retrospective cohort study. Annals of Medicine and Surgery, 74, 103251.

Maniaci, M. J., Torres-Guzman, R. A., Garcia, J. P., Avila, F. R., Maita, K. C., Forte, A. J., & Paulson, M. R. (2022). Overall patient experience with a virtual hybrid hospital at home program. SAGE open medicine, 10, 20503121221092589.