The hospital care experiences of older patients compared to younger patients

A balance of unsafe care incidents and interactive cooperative care: A constructivist grounded theory study of safe care ecosystem for older inpatients

AIMS

To explore older inpatients and their caregivers' care experience and how this relates to the gerontology care practice.

BACKGROUND

Research interest in the conceptualization of safe care for older inpatients was growing, and these studies were predominantly reported from a single or healthcare perspective. There is a shortage of literature on how patients and their caregivers conceptualise safe care.

DESIGN

Constructivist grounded theory.

METHODS

Stage 1 included semi-structured interviews with inpatients. Stage 2 included semi-structured interviews with caregivers and six field notes. Purposive and theoretical sampling were used to recruit 61 participants across six healthcare institutions. Data analysis included initial coding, focused coding, and theoretical coding using constant comparative, field notes and memo writing.

RESULTS

The substantive theory to emerge from the data was A balance of unsafe care incidents and interactive cooperative care. This core concept was informed by four categories: unsafe care incidents, interactive cooperative care, person-centred care, contextual conditions, and one care outcome. The relationships between these categories constituted a balance in which patient-centred care was the core, unsafe care incidents were the barriers, interactive cooperative care was the facilitator, and the result of the balance was the care outcome. The balance constituted a safe care ecosystem under the interaction of contextual conditions.

CONCLUSIONS

Interactive cooperative care is vital in enabling care stakeholders to reduce unsafe care incidents, which facilitates them in achieving safe care and further constructing a healthy care ecosystem.

RELEVANCE TO CLINICAL PRACTICE

This theory identifies barriers and facilitators encountered by care stakeholders to cope with everyday problems and guides them in developing personalised care plans to ensure patient safety.

Factors influencing patient experience in hospital wards: a systematic review

BACKGROUND

Patient experience plays an essential role in improving clinical effectiveness and patient safety. It's important to identify factors influencing patient experience and to improve quality of healthcare.

OBJECTIVE

To identify factors that influence patient experience in hospital wards.

METHODS

We conducted a systematic review including six databases; they were PubMed, CINAHL, Embase, PsycInfo, ProQuest, and Cochrane. Studies were included if they met the inclusion criteria. The JBI checklist was used to perform quality appraisal. We used 5 domains of the ecological model to organize and synthesize our findings to comprehensively understand the multi-level factors influencing the issue.

RESULT

A total of 138 studies were included, and 164 factors were identified. These factors were integrated into 6 domains. All domains but one (survey-related factors) could be mapped onto the attributes of the ecological framework: intrapersonal, interpersonal, institutional, community, and public policy level factors. All factors had mixed effect on patient experience. The intrapersonal level refers to individual characteristics of patients. The interpersonal level refers to interactions between patients and healthcare providers, such as the caring time spent by a nurse. The institutional level refers to organizational characteristics, rules and regulations for operations, such as hospital size and accreditation. The community level refers to relationships among organizations, institutions, and informational networks within defined boundaries, such as a hospital located in a larger population area. Public policy level refers to local, state, national, and global laws and policies, including health insurance policies. The sixth domain, survey-related factors, was added to the framework and included factors such as survey response rate and survey response time.

CONCLUSION

The factors influencing patient experience are comprehensive, ranging from intrapersonal to public policy. Providers should adopt a holistic and integrated perspective to assess patient experience and develop context-specific interventions to improve the quality of care. PROSPERO REGISTRATION NUMBER CRD42023401066.

Variation in Hospital Performance for General Surgery in Younger and Older Adults: A Retrospective Cohort Study

OBJECTIVE

To compare hospital surgical performance in older and younger patients.

BACKGROUND

In-hospital mortality after surgical procedures varies widely among hospitals. Prior studies suggest that failure-to-rescue rates drive this variation for older adults, but the generalizability of these findings to younger patients remains unknown.

METHODS

We performed a retrospective cohort study of patients ≥18 years undergoing one of 10 common and complex general surgery operations in 16 states using the Healthcare Cost and Utilization Projects State Inpatient Databases (2016-2018). Patients were split into 2 populations: patients with Medicare ≥65 (older adult) and non-Medicare <65 (younger adult). Hospitals were sorted into quintiles using risk-adjusted in-hospital mortality rates for each age population. Correlations between hospitals in each mortality quintile across age populations were calculated. Complication and failure-to-rescue rates were compared across the highest and lowest mortality quintiles in each age population.

RESULTS

We identified 579,582 patients treated in 732 hospitals. The mortality rate was 3.6% among older adults and 0.7% among younger adults. Among older adults, high- relative to low-mortality hospitals had similar complication rates (32.0% vs 29.8%; P = 0.059) and significantly higher failure-to-rescue rates (16.0% vs 4.0%; P < 0.001). Among younger adults, high-relative to low-mortality hospitals had higher complications (15.4% vs 12.1%; P < 0.001) and failure-to-rescue rates (8.3% vs 0.7%; P < 0.001). The correlation between observed-to-expected mortality ratios in each age group was 0.385 ( P < 0.001).

CONCLUSIONS

High surgical mortality rates in younger patients may be driven by both complication and failure-to-rescue rates. There is little overlap between low-mortality hospitals in the older and younger adult populations. Future work must delve into the root causes of this age-based difference in hospital-level surgical outcomes.

Geriatric Care Management System Powered by the IoT and Computer Vision Techniques

The digitalisation of geriatric care refers to the use of emerging technologies to manage and provide person-centered care to the elderly by collecting patients' data electronically and using them to streamline the care process, which improves the overall quality, accuracy, and efficiency of healthcare. In many countries, healthcare providers still rely on the manual measurement of bioparameters, inconsistent monitoring, and paper-based care plans to manage and deliver care to elderly patients. This can lead to a number of problems, including incomplete and inaccurate record-keeping, errors, and delays in identifying and resolving health problems. The purpose of this study is to develop a geriatric care management system that combines signals from various wearable sensors, noncontact measurement devices, and image recognition techniques to monitor and detect changes in the health status of a person. The system relies on deep learning algorithms and the Internet of Things (IoT) to identify the patient and their six most pertinent poses. In addition, the algorithm has been developed to monitor changes in the patient's position over a longer period of time, which could be important for detecting health problems in a timely manner and taking appropriate measures. Finally, based on expert knowledge and a priori rules integrated in a decision tree-based model, the automated final decision on the status of nursing care plan is generated to support nursing staff.