Asssigment

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Effectiveness of Transitional Care Models in Preventing Adverse Outcomes and Enhancing

Healthcare Quality for Elderly Patients

David Alexander Revilla

Florida National University

Nursing Research and Evidence-Based Practice

Professor: Carmen Lazo

November 20, 2024

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Effectiveness of Transitional Care Models in Preventing Adverse Outcomes and Enhancing

Healthcare Quality for Elderly Patients

Transitional care models support elderly individuals moving from the hospital to home or

other facilities for further care. The continuity and coordination of transitional care decrease

hospital readmission, prescription errors, and functional decline. Older adults with multiple

medical problems require integrated care to remain healthy and active (Lee et al., 2022).

Transitional care interventions focus on the provider-patient-caregiver relationship to deliver

customized approaches. Such approaches fill gaps in care and enhance healthcare interaction to

make patients safer and achieve better outcomes. This study examines how transitional care

models prevent adverse outcomes such as readmissions and medication errors and affect patient

satisfaction, quality of life, and healthcare costs. Promotion of adverse events such as hospital

readmission, medication-related problems, and loss of functional capacity can significantly

reduce the quality of life of older patients. This research compares the best models and their

components to enable the reader to gain helpful information on enhancing patients’ outcomes in

different healthcare organizations. The application of these models entails the use of research-

based practice to promote interventions of care transitions. Applying evidence ensures that

transitional care is practical, feasible, and efficient for patients, families, and the healthcare

system. The implications of this study are to provide suggestions for enhancing the quality of

care for the aging population by integrating research and practice.

Literature Review

Transitional care approaches improve older adults' health, especially those with many

chronic conditions. Berthelsen et al. (2023) examined the Transitional Care Model (TCM) 's

efficacy in five systematic reviews of 62 research. According to the study, coordination,

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communication, teamwork, and continuity of care reduced hospital readmissions, healthcare

expenditures, and patient satisfaction and quality of life. Structured post-discharge follow-ups,

patient education, and systematic information exchange helped hospital-to-home transitions. To

satisfy older patients' diverse demands, discharge practices must be adjusted. The study shows

synergistic TCM application improves outcomes, highlighting the necessity for complete

transitional care.

Similarly, Jacobsohn et al. (2021) conducted a randomized controlled trial of the Care

Transitions Intervention (CTI) on elderly emergency department discharges. This study indicated

that the CTI improved care transition behaviors such as outpatient follow-ups and red flag

symptom knowledge but did not significantly reduce 30-day emergency department revisits,

unlike Berthelsen et al. While the intervention may not directly reduce readmission rates, it

improves self-management and post-discharge care plans. Jacobsohn et al. emphasize behavioral

improvements as a crucial feature of transitional care, especially in emergency settings, unlike

Berthelsen et al., who focus on hospitalizations. This shows how healthcare settings and patient

populations affect transitional care intervention success.

Tomlinson et al. (2020) examined medication continuity in transitional care programs. A

systematic review and meta-analysis of 24 studies with over 17,000 participants showed that

medication reconciliation and self-management help reduce hospital readmissions. Phone follow-

ups also helped drug adherence, continuity, and quality of life. Unlike Jacobsohn et al., who

concentrated on emergency department transitions, Tomlinson et al. stressed medication

management during hospital-to-home transitions. These findings align with Berthelsen et al.'s

results, as both studies highlight the benefits of structured follow-ups and patient education.

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However, Tomlinson et al. underline the need for medication management, which other research

neglects.

Morkisch et al. (2020) examined the Transitional Care Model for geriatric patients in a

parallel study. The review found that high-intensity, multicomponent therapies reduced all-cause

readmissions best. Coordinating, encouraging self-management, and preserving patient-provider

interactions were crucial. According to the study, some strategies reduced readmission rates

temporarily but lost effectiveness over time. Morkisch et al. added the necessity of adapting

therapies to the senior population's needs, unlike Tomlinson et al. Both studies support the

benefits of patient-tailored individual treatment and the contributions of treating teams, but

Morkisch et al . pays more attention to the analysis of the intensity of interventions and its links

with long-term effectiveness.

Collectively, these studies demonstrate that, various forms of transitional care influence

hospital readmissions, medication compliance and consumer satisfaction. They stress for

personalized clinical practice interventions meeting the health care needs of older people.

Methodology and Design of the Study

The approach to be used in this study will be a quantitative research design since this is

appropriate when working with numerical data and helps to identify patterns that will determine

the difference in readmission rates of older adults with chronic conditions after being discharged

from the hospital when TCM is used. Quantitative methods involve collecting factual data that is

easy to quantify and analyze statistically, producing valid results. Therefore, this type of design

will be employed in this study to assess the pre and post-intervention results. This design makes

it easy to compare the results with and without the TCM, which is essential in determining the

impact of the TCM on the readmission rates. The aim of the research is to determine the

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effectiveness of TCM intervention has reduced the rate of readmissions among the elderly with

chronic diseases.

The research design of pre-post intervention will make it possible for the research team to

compare the patients’ readmission rates and hence establish both the short-term and the long-

term TCM. In the longitudinal study, the follow-up assessment of health outcomes will be done

at 30, 60, and 90 days after discharge. This design makes it possible to have an understanding of

the impact of transitional care interventions at different phases of recovery..The subjects will be

randomly divided into intervention and control groups. The control group will act as the

‘treatment as usual’ group, while the intervention group will be given the TCM, which entails

follow-up visits, medication management, chronic disease education, and follow-up with

outpatient care providers. The rationale for the control group is to provide post-discharge care

without the structure of TCM-style, whereas the intervention group will receive TCM-style post-

discharge care. These two groups must be randomized to reduce bias and ascertain that the

intervention, not other factors, cause any observed intervention effects.

The study's prospective approach will involve data collection at three distinct time points:

immediately after discharge (baseline), at 30 days post-discharge, and at 90 days post-discharge.

This scheduling enables the extent of the impact of the TCM on the patient to be measured at

more than one point after discharge, as well as the residual impact. The primary outcome of data

collection will be readmission rates, whereas survey questions will assess patient satisfaction,

discharge instructions, and red flag symptoms at all inpatients. The survey will target patients'

health behaviors by measuring their knowledge about the illness, health management, and

satisfaction with care. These surveys will be given out to increase the number of responses and

minimize nonresponse bias.

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Sampling Methodology

This study will utilize purposive sampling to select participants who meet specific

inclusion criteria. Purposive sampling will allow researchers to focus on older patients

discharged from the hospital with chronic diseases who are most likely to benefit from

transitional care interventions. The inclusion requirements include being 60 years or older,

having several chronic illnesses, and having recently been discharged. The study will exclude

people with significant cognitive impairments, non-English speakers, or terminal conditions who

cannot complete it. Purposive sampling helps make study findings more relevant by selecting

people who suit the research subject.

The sample size for this study will be 80 participants, ensuring sufficient power to detect

statistically significant differences between the intervention and control groups. Many hospitals

in a region will be chosen to ensure sample variety. Participants will be randomly selected from

hospital discharges who match inclusion requirements. Purposive sampling will identify specific

people who will benefit from the intervention. Regular follow-up will reduce attrition, and

stratified sampling may control for age, comorbidity status, and gender to make the groups

comparable at baseline.

Necessary Tools

This study will use survey questionnaires to collect quantitative and qualitative data on

the effects of the Transitional Care Model (TCM) on patient outcomes, particularly readmission

rates and patient satisfaction. The survey questionnaires will measure objective outcomes to

evaluate the intervention. These surveys will include standardized questions designed to capture

critical information on the participants' health behaviors, including their adherence to post-

discharge care instructions, frequency of follow-up appointments, and any hospital readmission

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incidents. Patients will also be asked about their satisfaction with healthcare personnel, discharge

instructions, and the transitional care program. Participants will be surveyed immediately after

discharge, 30 days later, and 90 days later. This will allow short-term (readmission and

satisfaction) and long-term (care plan adherence and health stability) measurement. The surveys'

organized nature ensures consistent participant data collection, ensuring change tracking

dependability.

Algorithms or Flow Maps Created

The study's flow diagram will show participant involvement from hospital discharge to

follow-up surveys. The flow map will demonstrate random assignment to intervention and

control groups, surveys at 30- and 90-days post-discharge, and readmission rate data collecting.

Algorithms will also define the Transitional Care Model intervention procedure, including

medication reconciliation, patient education, and follow-up appointments. These graphic aids

will clarify the study design and ensure intervention consistency across participants.

Conclusion

In conclusion, this research seeks to evaluate the impact of the Transitional Care Model

(TCM) in decreasing the readmission rates of elderly patients with chronic diseases after

discharge from a hospital setting. The quantitative research study will be a comparison of

transitional care with the traditional post-discharge care. A pre-post intervention design enables

an easy comparison of the readmission rates right after discharge and at 30- and 90-days post-

discharge to determine the short-term and prolonged impacts of the intervention.

The study will use survey questionnaires to obtain self-reported information on patient

satisfaction, compliance to discharge prescriptions and awareness of danger signs. Chi-square

testing and regression analysis will then determine if the readmissions have been statistically

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lowered by the TCM intervention while controlling for age and comorbidities. The study

employs quantitative data and assessable results to support the assertion that TCM enhances

post-discharge care and patient outcomes. The solid quantitative approach will help to develop

further research and recommendations for enhancing transitional care procedures to be useful for

healthcare practitioners and patients.

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References

Berthelsen, C., Møller, N., & Bunkenborg, G. (2023). Transitional care model for older adults

with multiple chronic conditions: An evaluation of benefits utilising an umbrella review.

Journal of Clinical Nursing, 33(2). https://doi.org/10.1111/jocn.16913

Jacobsohn, G. C., Jones, C. M. C., Green, R. K., Cochran, A. L., Caprio, T. V., Cushman, J. T.,

Kind, A. J. H., Lohmeier, M., Mi, R., & Shah, M. N. (2021). Effectiveness of a care

transitions intervention for older adults discharged home from the emergency department:

A randomized controlled trial. Academic Emergency Medicine, 29(1), 51–63.

https://doi.org/10.1111/acem.14357

Lee, J. Y., Yang, Y. S., & Cho, E. (2022). Transitional care from hospital to home for frail older

adults: A systematic review and meta-analysis. Geriatric Nursing, 43, 64–76.

https://doi.org/10.1016/j.gerinurse.2021.11.003

Morkisch, N., Upegui-Arango, L. D., Cardona, M. I., van den Heuvel, D., Rimmele, M., Sieber,

C. C., & Freiberger, E. (2020). Components of the transitional care model (TCM) to

reduce readmission in geriatric patients: a systematic review. BMC Geriatrics, 20(1), 1–

18. https://doi.org/10.1186/s12877-020-01747-w

Tomlinson, J., Cheong, V-Lin., Fylan, B., Silcock, J., Smith, H., Karban, K., & Blenkinsopp, A.

(2020). Successful care transitions for older people: a systematic review and meta-

analysis of the effects of interventions that support medication continuity. Age and

Ageing, 49(4), 558–569. https://doi.org/10.1093/ageing/afaa002

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