Douwe Hedde Biesma

Purpose: The emergency department (ED) has changed significantly due to technical innovations, centralization of care and further medical specialization. It is critical to assess whether the ED remains the most appropriate setting for older (frail) patients, given their multimorbidity, differing life goals, and the need to maintain acute care accessible. Methods: This study assesses ED visits, focusing on differences in acute medical care resource utilization between younger and older patients, including the impact of age and frailty. A retrospective case series was performed over nearly six years, using descriptive trend analysis and multivariable regression. Results: This study included 163,140 patients, accounting for 274,462 ED visits. Median age was 46 years (IQR 25–66), and 48.5% were female. Patients aged ≥ 70 years (21.5% of visits) demonstrated higher use of acute care resources, including laboratory tests (OR 1.49), X-rays (OR 1.97), CT scans (OR 1.78), ambulance transport (OR 2.98), specialist consultations (OR 1.80), and hospital admissions (OR 2.83) compared to younger patients. Frail older patients had even greater utilization, independent of age, with adjusted ORs of 2.54 for ambulance transport and 4.45 for consultations. Conclusion: Older, especially frail, patients utilize more acute medical care resources and are more frequently hospitalized than younger individuals. These findings support the need for holistic, transmural care models that better align with patients’ needs and reduce potentially non-beneficial interventions. The current ED setting may not be optimal for delivering such care. Tailored care pathways and alternatives to conventional hospitalization may improve patient outcomes and healthcare sustainability.

Background: Patients with cerebrovascular accident (CVA) should be involved in setting their rehabilitation goals. A personalized prediction of CVA outcomes would allow care professionals to better inform patients and informal caregivers. Several accurate prediction models have been created, but acceptance and proper implementation of the models are prerequisites for model adoption. Objective: This study aimed to assess the added value of a prediction model for long-term outcomes of rehabilitation after CVA and evaluate how it can best be displayed, implemented, and integrated into the care process. Methods: We designed a mock-up version, including visualizations, based on our recently developed prediction model. We conducted focus groups with CVA patients and informal caregivers, and separate focus groups with health care professionals (HCPs). Their opinions on the current information management and the model were analyzed using a thematic analysis approach. Lastly, a Measurement Instrument for Determinants of Innovations (MIDI) questionnaire was used to collect insights into the prediction model and visualizations with HCPs. Results: The analysis of 6 focus groups, with 9 patients, 4 informal caregivers, and 8 HCPs, resulted in 10 themes in 3 categories: evaluation of the current care process (information absorption, expectations of rehabilitation, prediction of outcomes, and decision aid), content of the prediction model (reliability, relevance, and influence on the care process), and accessibility of the model (ease of understanding, model type preference, and moment of use). We extracted recommendations for the prediction model and visualizations. The results of the questionnaire survey (9 responses, 56% response rate) underscored the themes of the focus groups. Conclusions: There is a need for the use of a prediction model to assess CVA outcomes, as indicated by the general approval of participants in both the focus groups and the questionnaire survey. We recommend that the prediction model be geared toward HCPs, as they can provide the context necessary for patients and informal caregivers. Good reliability and relevance of the prediction model will be essential for its wide adoption.

BACKGROUND Patients with cerebrovascular accident (CVA) should be involved in setting their rehabilitation goals. A personalized prediction of CVA outcomes would allow care professionals to better inform patients and informal caregivers. Several accurate prediction models have been created, but acceptance and proper implementation of the models are prerequisites for model adoption. OBJECTIVE This study aimed to assess the added value of a prediction model for long-term outcomes of rehabilitation after CVA and evaluate how it can best be displayed, implemented, and integrated into the care process. METHODS We designed a mock-up version, including visualizations, based on our recently developed prediction model. We conducted focus groups with CVA patients and informal caregivers, and separate focus groups with health care professionals (HCPs). Their opinions on the current information management and the model were analyzed using a thematic analysis approach. Lastly, a Measurement Instrument for Determinants of Innovations (MIDI) questionnaire was used to collect insights into the prediction model and visualizations with HCPs. RESULTS The analysis of 6 focus groups, with 9 patients, 4 informal caregivers, and 8 HCPs, resulted in 10 themes in 3 categories: evaluation of the current care process (information absorption, expectations of rehabilitation, prediction of outcomes, and decision aid), content of the prediction model (reliability, relevance, and influence on the care process), and accessibility of the model (ease of understanding, model type preference, and moment of use). We extracted recommendations for the prediction model and visualizations. The results of the questionnaire survey (9 responses, 56% response rate) underscored the themes of the focus groups. CONCLUSIONS There is a need for the use of a prediction model to assess CVA outcomes, as indicated by the general approval of participants in both the focus groups and the questionnaire survey. We recommend that the prediction model be geared toward HCPs, as they can provide the context necessary for patients and informal caregivers. Good reliability and relevance of the prediction model will be essential for its wide adoption.

Background: In recent years, value-based healthcare (VBHC) has become one of the most accepted concepts for fixing the ‘broken’ healthcare systems. Numerous hospitals have embraced VBHC and are trying to implement value-based quality improvement (VBQI) into their practice. However, there is a lack of knowledge on how to practically implement VBHC and organizations differ in their approach. The aim of this study was to explore the main factors that were experienced as hindering and/or supporting in the implementation of VBQI teams in hospital care. Methods: A qualitative study was performed with semi-structured interviews with 43 members of eight VBQI teams in a large Dutch top-clinical teaching hospital. Participants included physicians, physician assistants, nurses, VBHC project leaders, managers, social workers, researchers and paramedics. Interview grids were structured according to the RE-AIM model (reach, effectiveness, adoption, implementation and maintenance). A thematic content analysis with open coding was used to identify emerging (sub)themes. Results: We identified nine main factors divided over three domains (organization, culture and practice) that determined whether the implementation of VBQI teams was successful or not: 1). Practical organization of value-based quality improvement teams, 2). Organizational structure 3). Integration of VBHC with existing quality improvement approaches and research 4). Adoption and knowledge of the VBHC concept in the hospital 5). Multidisciplinary engagement 6). Medical leadership 7). Goal setting and selecting quality improvement initiatives 8). Long-cycle benchmarking and short-cycle feedback 9). Availability of outcome data. Conclusions: Overall, this study goes beyond the general VBHC theory and provides healthcare providers with more detailed knowledge on how to practically implement value-based quality improvement in a hospital care setting. Factors in the ‘organization’ and ‘practice’ domain were mentioned in the strategic value agenda of Porter and Lee. Though, this study provides more practical insight in these two domains. Factors in the ‘culture’ domain were not mentioned in the strategic value agenda and have not yet been thoroughly researched before.

Aim: Emergency surgery is a known predictor for 30‐day mortality. However, its relationship with long‐term mortality is still a matter of debate. The aim of this study was to analyse the effect of emergency surgery compared with elective surgery on long‐term survival.Method: Data from the Dutch Colorectal Audit and the Dutch Cancer Centre registry of a large nonacademic teaching hospital were used to analyse outcomes of patients who underwent surgery for colon cancer from 2009 until 2017. Univariable and multivariable Cox regression were used to assess the effect of emergency surgery on long‐term mortality with adjustment for patient, tumour and treatment characteristics.Results: A total of 1139 patients with a median follow‐up of 40 months (interquartile range 23–65 months) were included. Emergency surgery was performed in 158 patients (14%). The 5‐year survival after emergency surgery was 46% compared with 72% after elective surgery. After adjusting for baseline differences there was an independent and significant association between emergency surgery and increased long‐term mortality (hazard ratio 1.79, 95% CI 1.28–2.51, P = 0.001).Conclusion: Emergency surgery for colon cancer seems to lead to a significantly increased risk of long‐term mortality compared with elective surgery. Detection and treatment of early symptoms that can lead to emergency surgery might be the way forward.

Aim: Older colorectal cancer (CRC) patients are at increased risk of postoperative morbidity and mortality. Routine postoperative overnight intensive care unit (ICU) admission might reduce this risk. This study aimed to examine the effect of routine overnight ICU admission after CRC surgery on postoperative adverse outcomes and costs in patients aged 80 years or older.Methods: Patients aged 80 years or older who underwent CRC surgery in our centre were included in this observational cohort study. All patients in the period 2014–2017 with routine overnight ICU admission were assigned to the ICU cohort; all patients in the period 2009–2013 were assigned to the non‐ICU cohort. Multivariable logistic regression was performed to compare the primary composite end‐point (30‐day mortality, serious complications and readmission) between the groups. Cost data from the literature were used to perform a cost analysis.Results: A total of 242 patients were included, 125 in the ICU cohort and 117 in the non‐ICU cohort. Routine overnight ICU admission was associated with a reduced risk of the composite end‐point (OR 0.44, 95% CI 0.22–0.87, P = 0.02) after adjusting for important confounders. In the ICU cohort 28% of patients experienced ICU events requiring intervention; this was not associated with postoperative morbidity or mortality. The 9% reduction in the incidence of serious complications in the ICU cohort is sufficient to offset the additional costs of routine overnight ICU admission.Conclusion: Routine overnight ICU admission after CRC surgery in patients aged 80 years and older is associated with reduced risk of postoperative mortality and morbidity and seems to be cost‐effective.

Our study presents findings on a previously developed standard set of clinical outcome data for pulmonary sarcoidosis patients. We aimed to assess whether changes in outcome varied between the different centres and to evaluate the feasibility of collecting the standard set retrospectively.This retrospective observational comparative benchmark study included six interstitial lung disease expert centres based in the Netherlands, Belgium, the UK and the USA. The standard set of outcome measures included 1) mortality, 2) changes in pulmonary function (forced vital capacity (FVC), forced expiratory volume in 1 s, diffusing capacity of the lung for carbon monoxide), 3) soluble interleukin-2 receptor (sIL-2R) change, 4) weight changes, 5) quality-of-life (QoL) measures, 6) osteoporosis and 7) clinical outcome status (COS). Data collection was considered feasible if the data were collected in ≥80% of all patients.509 patients were included in the retrospective cohort. In total six patients died, with a mean survival of 38±23.4 months after the diagnosis. Centres varied in mean baseline FVC, ranging from 110 (95% CI 92–124)% predicted to 99 (95% CI 97–123)% pred. Mean baseline body mass index (BMI) of patients in the different centres varied between 27 (95% CI 23.6–29.4) kg·m⁻²and 31.8 (95% CI 28.1–35.6) kg·m⁻². 310 (60.9%) patients were still on systemic therapy 2 years after the diagnosis. It was feasible to measure mortality, changes in pulmonary function, weight changes and COS. It is not (yet) feasible to retrospectively collect sIL-2R, osteoporosis and QoL data internationally.This study shows that data collection for the standard set of outcome measures for pulmonary sarcoidosis was feasible for four out of seven outcome measures. Trends in pulmonary function and BMI were similar for different hospitals when comparing different practices.