Medication-related risk factors and its association with repeated hospital admissions in frail elderly: A case control study

Inappropriate prescribing and association with readmission or mortality in hospitalised older adults with frailty: a systematic review and meta-analysis

BACKGROUND

Inappropriate prescribing (IP) is common in hospitalised older adults with frailty. However, it is not known whether the presence of frailty confers an increased risk of mortality and readmissions from IP nor whether rectifying IP reduces this risk. This review was conducted to determine whether IP increases the risk of adverse outcomes in hospitalised middle-aged and older adults with frailty.

METHODS

A systematic review was conducted on IP in hospitalised middle-aged (45-64 years) and older adults (≥ 65 years) with frailty. This review considered multiple types of IP including potentially inappropriate medicines, prescribing omissions and drug interactions. Both observational and interventional studies were included. The outcomes were mortality and hospital readmissions. The databases searched included MEDLINE, CINAHL, EMBASE, World of Science, SCOPUS and the Cochrane Library. The search was updated to 12 July 2024. Meta-analysis was performed to pool risk estimates using the random effects model.

RESULTS

A total of 569 studies were identified and seven met the inclusion criteria, all focused on the older population. One of the five observational studies found an association between IP and emergency department visits and readmissions at specific time points. Three of the observational studies were amenable to meta-analysis which showed no significant association between IP and hospital readmissions (OR 1.08, 95% CI 0.90-1.31). Meta-analysis of the subgroup assessing Beers criteria medicines demonstrated that there was a 27% increase in the risk of hospital readmissions (OR 1.27, 95% CI 1.03-1.57) with this type of IP. In meta-analysis of the two interventional studies, there was a 37% reduced risk of mortality (OR 0.63, 95% CI 0.40-1.00) with interventions that reduced IP compared to usual care but no difference in hospital readmissions (OR 0.83, 95% CI 0.19-3.67).

CONCLUSIONS

Interventions to reduce IP were associated with reduced risk of mortality, but not readmissions, compared to usual care in older adults with frailty. The use of Beers criteria medicines was associated with hospital readmissions in this group. However, there was limited evidence of an association between IP more broadly and mortality or hospital readmissions. Further high-quality studies are needed to confirm these findings.

Systematic review of methods used in prediction models with recurrent event data

BACKGROUND

Patients who suffer from chronic conditions or diseases are susceptible to experiencing repeated events of the same type (e.g. seizures), termed 'recurrent events'. Prediction models can be used to predict the risk of recurrence so that intervention or management can be tailored accordingly, but statistical methodology can vary. The objective of this systematic review was to identify and describe statistical approaches that have been applied for the development and validation of multivariable prediction models with recurrent event data. A secondary objective was to informally assess the characteristics and quality of analysis approaches used in the development and validation of prediction models of recurrent event data.

METHODS

Searches were run in MEDLINE using a search strategy in 2019 which included index terms and phrases related to recurrent events and prediction models. For studies to be included in the review they must have developed or validated a multivariable clinical prediction model for recurrent event outcome data, specifically modelling the recurrent events and the timing between them. The statistical analysis methods used to analyse the recurrent event data in the clinical prediction model were extracted to answer the primary aim of the systematic review. In addition, items such as the event rate as well as any discrimination and calibration statistics that were used to assess the model performance were extracted for the secondary aim of the review.

RESULTS

A total of 855 publications were identified using the developed search strategy and 301 of these are included in our systematic review. The Andersen-Gill method was identified as the most commonly applied method in the analysis of recurrent events, which was used in 152 (50.5%) studies. This was closely followed by frailty models which were used in 116 (38.5%) included studies. Of the 301 included studies, only 75 (24.9%) internally validated their model(s) and three (1.0%) validated their model(s) in an external dataset.

CONCLUSIONS

This review identified a variety of methods which are used in practice when developing or validating prediction models for recurrent events. The variability of the approaches identified is cause for concern as it indicates possible immaturity in the field and highlights the need for more methodological research to bring greater consistency in approach of recurrent event analysis. Further work is required to ensure publications report all required information and use robust statistical methods for model development and validation.

PROSPERO REGISTRATION

CRD42019116031.

'Hearing silences': Exploring culturally safe transitional care: A qualitative study among Turkish-speaking migrant frail older adults

AIMS

This study aimed to investigate the experiences and transitional care needs of Turkish frail older adults living in the UK and determine how this information can be utilized to improve the provision of culturally sensitive care during the transitional period.

DESIGN

Qualitative descriptive research with semi-structured individual interviews.

METHODS

"The 'Silences' Framework guided the research design, from conceptualizing the research question to structuring the report of final outputs. For this study, semi-structured, in-depth interviews were conducted with sixteen older adults living with frailty and five family caregivers between January and May of 2023 in the United Kingdom.

RESULTS

Major themes that were identified included: (i) information and communication, (ii) care and support, (iii) the role of culture and (iv) trust and satisfaction. Further analysis, through discussion and immersion in the data, revealed that care transition periods were presented alongside three phases of transitional care: pre-transition (during hospitalization), early-transition (the period between discharge and the 7th day after discharge) and late transition (the period between the 8th day and 12th month after discharge).

CONCLUSIONS

Our study revealed that the communication and informational needs of frail older individuals change during the transition period. While Turkish older adults and family caregivers expressed satisfaction with healthcare services in the UK, many struggled due to a lack of knowledge on how to access them.

IMPACT

The support of family caregivers is a crucial component in facilitating transitional care for frail older patients, as they help in accessing healthcare services and using technological devices or platforms. It should be noted that family caregivers often hold the same level of authority as their elderly Turkish counterparts.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Effect of using a mobile drug management application on medication adherence and hospital readmission among elderly patients with polypharmacy: a randomized controlled trial

BACKGROUND

Adherence to complex drug regimens and polypharmacy are among the challenges of old age, which may negatively affect their motivation to continue drug therapy or lead to incorrect drug consumption. The present study was conducted to evaluate the effect of using a mobile drug management application on medication adherence and hospital readmission among polypharmacy older adults.

METHODS

In this randomized controlled trial study conducted in 2022, with Trial Registration Number (IRCT20191231045966N1) (18/07/2021), 192 Iranian older adults with polypharmacy were selected according to the inclusion criteria and allocated to case and control groups using the block randomization method. The data collection tools included a demographic questionnaire, case report form, and Morisky Medication Adherence Scale. The intervention was done using a mobile drug management application. Drug adherence was measured at baseline and both with hospital readmission were measured after 8 weeks. The collected data were entered into the SPSS software version 22 and analyzed using descriptive (frequency, percentage, mean, standard deviation) and inferential (Chi-square, Fisher's exact test, independent t-test) statistics.

RESULTS

The case and control groups were homogeneous in terms of demographic variables and drug adherence level before the intervention. A significant difference was found in the drug adherence level after using the app (p < 0.001). Moreover, a significant difference was found in adverse events, including re-hospitalization due to disease aggravation, re-hospitalization due to error in medication consumption, falling, hypo or hypertension, and hypo or hyperglycemia, and medication use accuracy between the groups after the intervention (p < 0.05).

CONCLUSION

The results showed that using a mobile drug management application that meets the specifications of older adults can improve drug adherence, reduce the adverse events and pave the way for a better disease period management.

Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare

Healthcare costs due to unplanned readmissions are high and negatively affect health and wellness of patients. Hospital readmission is an undesirable outcome for elderly patients. Here, we present readmission risk prediction using five machine learning approaches for predicting 30-day unplanned readmission for elderly patients (age ≥ 50 years). We use a comprehensive and curated set of variables that include frailty, comorbidities, high-risk medications, demographics, hospital, and insurance utilization to build these models. We conduct a large-scale study with electronic health record (her) data with over 145,000 observations from 76,000 patients. Findings indicate that the category boost (CatBoost) model outperforms other models with a mean area under the curve (AUC) of 0.79. We find that prior readmissions, discharge to a rehabilitation facility, length of stay, comorbidities, and frailty indicators were all strong predictors of 30-day readmission. We present in-depth insights using Shapley additive explanations (SHAP), the state of the art in machine learning explainability.

Potentially inappropriate prescribing and its associations with health-related and system-related outcomes in hospitalised older adults: A systematic review and meta-analysis

AIMS

To synthesise associations of potentially inappropriate prescribing (PIP) with health-related and system-related outcomes in inpatient hospital settings.

METHODS

Six electronic databases were searched: Medline Complete, EMBASE, CINAHL, PyscInfo, IPA and Cochrane library. Studies published between 1 January 1991 and 31 January 2021 investigating associations between PIP and health-related and system-related outcomes of older adults in hospital settings, were included. A random effects model was employed using the generic inverse variance method to pool risk estimates.

RESULTS

Overall, 63 studies were included. Pooled risk estimates did not show a significant association with all-cause mortality (adjusted odds ratio [AOR] 1.10, 95% confidence interval [CI] 0.90-1.36; adjusted hazard ratio 1.02, 83% CI 0.90-1.16), and hospital readmission (AOR 1.11, 95% CI 0.76-1.63; adjusted hazard ratio 1.02, 95% CI 0.89-1.18). PIP was associated with 91%, 60% and 26% increased odds of adverse drug event-related hospital admissions (AOR 1.91, 95% CI 1.21-3.01), functional decline (AOR 1.60, 95% CI 1.28-2.01), and adverse drug reactions and adverse drug events (AOR 1.26, 95% CI 1.11-1.43), respectively. PIP was associated with falls (2/2 studies). The impact of PIP on emergency department visits, length of stay, and health-related quality of life was inconclusive. Economic cost of PIP reported in 3 studies, comprised various cost estimation methods.

CONCLUSIONS

PIP was significantly associated with a range of health-related and system-related outcomes. It is important to optimise older adults' prescriptions to facilitate improved outcomes of care.

Patient and public involvement in designing and conducting doctoral research: the whys and the hows

PLAIN ENGLISH SUMMARY

Evidence shows that public and patient involvement in research has a positive effect on its quality and end-results. Thus, public and patient involvement in all stages of research is becoming commonplace. There are limited detailed examples however, that describe how to make this possible, especially for those doing PhD research. Doctoral researchers are often new to research practice or have limited experience and are often bound by strict time and financial constraints. It is also not usually a requirement of the award to involve public and patients in their research. Hence, they may not feel confident or motivated to involve or engage with public and patients during their research. We, four doctoral researchers, share examples from our own research studies that have included different approaches to public and patient involvement. Two studies formed public and patient advisory groups who helped design the research questions, data collection tools and recruitment methods. One enlisted the help of an online public and patient panel from a local hospital. A different study worked with patients from an established group to help define key medical words. We did face some challenges, such as the need to develop good group work skills and to apply for grants to cover reimbursement, but we all found it beneficial to involve patients in our studies. We noticed a positive effect on each study's progression and an improvement in our own self-esteem. In addition, having public and patient involvement helped reduce the isolation we felt as doctoral researchers. Thus, we strongly encourage more doctoral researchers to involve public and patients in their studies.

ABSTRACT

Public and patient involvement (PPI) has been shown to have a positive impact on health and social care research. However, adequate examples describing how to operationalise effective PPI, especially in doctoral studies, are lacking. Hence, doctoral researchers new to research, or those with limited experience, can be discouraged from facilitating PPI in their research. This paper aims to describe and discuss in detail the approaches used by four doctoral researchers to incorporate PPI at different stages of their research studies from study design to disseminating findings.We aim to inform other doctoral researchers about the challenges and limitations relating to PPI that we faced. Through these, we share pragmatic recommendations for facilitating PPI during doctoral studies.The description of four case studies demonstrated that PPI could be incorporated at various stages during doctoral research. This has had a beneficial impact on our research study progression, researcher self-esteem and lastly, helped alleviate researcher isolation during doctoral studies.