Dataset Information

Case-studies of displacement effects in Dutch hospital care.

ABSTRACT: BACKGROUND:Under a constrained health care budget, cost-increasing technologies may displace funds from existing health services. However, it is unknown what services are displaced and how such displacement takes place in practice. The aim of our study was to investigate how the Dutch hospital sector has dealt with the introduction of cost-increasing health technologies, and to present evidence of the relative importance of three main options to deal with cost-increases in health care: increased spending, increased efficiency, or displacement of other services. METHODS:We conducted six case-studies and interviewed 84 professionals with various roles and responsibilities (practitioners, heads of clinical department, board of directors, insurers, and others) to investigate how they experienced decision making in response to the cost pressure of cost-increasing health technologies. Transcripts were analyzed thematically in Atlas.ti on the basis of an item list. RESULTS:Direct displacement of high-value care due to the introduction of new technologies was not observed; respondents primarily pointed to increased spending and efficiency measures to accommodate the introduction of the cost-increasing technologies. Respondents found it difficult to identify the opportunity costs; partly due to limited transparency in the internal allocation of funds within a hospital. Furthermore, respondents experienced the entry of new technologies and cost-containment as two parallel processes that are generally not causally linked: cost containment was experienced as a permanent issue to level costs and revenues, independent from entry of new technologies. Furthermore, the way of financing was found important in displacement in the Netherlands, especially as there is a separate budget for expensive drugs. This budget pressure was found to be reallocated horizontally across departments, whereas the budget pressure of other services is primarily reallocated vertically within departments or divisions. Respondents noted that hospitals have reacted to budget pressures primarily through a narrowing in the portfolio of their services, and a range of (other) efficiency measures. The board of directors is central in these processes, insurers are involved only to a limited extent. CONCLUSIONS:Our findings indicate that new technologies were generally accommodated by greater efficiency and increased spending, and that hospitals sought savings or efficiency measures in response to cumulative cost pressures rather than in response to single cost-increasing technologies.

SUBMITTER: Wammes JJG

PROVIDER: S-EPMC7106895 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Case-studies of displacement effects in Dutch hospital care.

Wammes Joost Johan Godert JJG Frederix Geert G Govaert Paulien P Determann Domino D Evers Silvia S Paulus Aggie A Stadhouders Niek N Jeurissen Patrick P Oortwijn Wija W Adang Eddy M M EMM

BMC health services research 20200330 1

<h4>Background</h4>Under a constrained health care budget, cost-increasing technologies may displace funds from existing health services. However, it is unknown what services are displaced and how such displacement takes place in practice. The aim of our study was to investigate how the Dutch hospital sector has dealt with the introduction of cost-increasing health technologies, and to present evidence of the relative importance of three main options to deal with cost-increases in health care: i ...[more]

PMID: 32228590

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Project description:BackgroundLong-term care is often associated with high health care expenditures. In the Netherlands, an ageing population will likely increase the demand for long-term care within the near future. The development of risk profiles will not only be useful for projecting future demand, but also for providing clues that may prevent or delay long-term care utilization. Here, we report our identification of predictors of long-term care utilization in a cohort of hospital patients aged 65+ following their discharge from hospital discharge and who, prior to hospital admission, were living at home.MethodsThe data were obtained from three national databases in the Netherlands: the national hospital discharge register, the long-term care expenses register and the population register. Multinomial logistic regression was applied to determine which variables were the best predictors of long-term care utilization. The model included demographic characteristics and several medical diagnoses. The outcome variables were discharge to home with no formal care (reference category), discharge to home with home care, admission to a nursing home and admission to a home for the elderly.ResultsThe study cohort consisted of 262,439 hospitalized patients. A higher age, longer stay in the hospital and absence of a spouse were found to be associated with a higher risk of all three types of long-term care. Individuals with a child had a lower risk of requiring residential care. Cerebrovascular diseases [relative risk ratio (RRR) = 11.5] were the strongest disease predictor of nursing home admission, and fractures of the ankle or lower leg (RRR = 6.1) were strong determinants of admission to a home for the elderly. Lung cancer (RRR = 4.9) was the strongest determinant of discharge to the home with home care.ConclusionsThese results emphasize the impact of age, absence/presence of a spouse and disease on long-term care utilization. In an era of demographic and epidemiological changes, not only will hospital use change, but also the need for long-term care following hospital discharge. The results of this study can be used by policy-makers for planning health care utilization services and anticipating future health care needs.

Project description:BackgroundAffordability and accessibility of hospital care are under pressure. Research on hospital care financing focuses primarily on incentives in the financial system outside the hospital. It is notable that little is known about (incentives in) internal funding in hospitals. Therefore, our study focuses on the budget allocation in hospitals: the distribution model. Based on our hypothesis that the reimbursement and distribution models in hospitals might interact, we gain knowledge about-, and insight into, the interaction of different reimbursement and distribution models used in Dutch hospitals, and how they affect the financial output of hospital care.MethodsAn online survey with 22 questions was conducted among financial senior management as an expert group in 49 Dutch hospitals.ResultsUltimately, 38 of 49 approached experts fully completed the survey, which amounts to 78% of the hospitals we approached and 60% of all Dutch hospitals. The results on the reimbursement model indicate price * volume with adjusted prices above a maximum cap as the most common dominant contract type. On the internal distribution model, 75-80% of the experts reported incremental budgeting as the dominant budgeting method. Results on the interaction between the reimbursement and the distribution model show that both general and specific changes in contract agreements are only partially incorporated in hospital budgets. In 28 out of 31 hospitals with self-employed medical specialists, a relation is reported between the reimbursement model and the contracts with the Medical Consultant Group(s) in which the medical specialists are united.ConclusionsOur results in Dutch setting indicate a limited interaction between the reimbursement model and the distribution model. This lack of congruence between both models might limit the desired effects of incentives in contractual agreements aimed at the financial output. This applies to different reimbursement and distribution models. Further research into the various interactions and incentives, as visualized in our conceptual framework, could result in evidence-based advice for achieving affordable and accessible hospital care.

Project description:BackgroundIn response to concerns about high hospital mortality rates, patient and carer complaints, a Mid Staffordshire NHS Foundation Trust public inquiry was conducted at the request of the UK government. This inquiry found serious failures in the quality of basic care provided and as a consequence, recommended that patients should have more regular visits, organised at predictable times from nursing staff. Intentional rounding, also known as nursing ward rounds, was widely adopted to meet this need.ObjectiveTo test, refine or refute eight programme theories to understand what works, for whom, and in what circumstances.SettingSix wards (older people and acute wards) in three NHS trusts in England.ParticipantsBoard level and senior nursing managers (N = 17), nursing ward staff (N = 33), allied health and medical professionals (N = 26), patients (N = 34) and relatives (N = 28) participated in an individual, in-depth interview using the realist method. In addition, ward-based nurses (N = 39) were shadowed whilst they conduced intentional rounds (240 rounds in total) and the direct care of patients (188 h of patient care in total) was observed.MethodsThe mixed methods design included: Phase (1) Theory development - A realist synthesis was undertaken to identify any programme theories which were tested, refined and/or refuted, using data from phases 2 and 3; Phase (2) A survey of all English NHS acute Trusts; Phase (3) Six case studies of wards involving realist interviews, shadowing and non-participant observations, analysis of ward outcome and cost data; and Phase (4) Synthesis of findings from phases 1, 2 and 3.ResultsThe realist synthesis identified eight programme theories of intentional rounding: 'Consistency and comprehensiveness', 'Accountability', 'Visibility of nurses', 'Anticipation', 'Allocated time to care', 'Nurse-patient relationships', 'Multi-disciplinary teamwork and communication' and 'Patient empowerment'. Key findings showed that of the original eight programme theories of intentional rounding, only two partially explained how the intervention worked ('Consistency and comprehensiveness' and 'Accountability'). Of the remaining six programme theories, the evidence for two was inconclusive ('Visibility of nurses' and 'Anticipation') and there was no evidence for four ('Allocated time to care'; 'Nurse-patient relationships'; 'Multi-disciplinary teamwork and communication'; and 'Patient empowerment').ConclusionsThis first theory-informed evaluation of intentional rounding, demonstrates that the effectiveness of intentional rounding in the English healthcare context is very weak. Furthermore, the evidence collected in this study has challenged and refuted some of the underlying assumptions about how intentional rounding works. This study has demonstrated the crucial role context plays in determining the effectiveness of an intervention and how caution is needed when implementing interventions developed for the health system of one country into another.

Project description:AimsThe COVID-19 pandemic impacted diabetes care by reducing diabetes outpatient visits and diabetes-related screening due to allocation of healthcare resources. Yet the impact of COVID-19 on diabetes outpatients has not been extensively evaluated. This study aimed to assess the effect of the COVID-19 pandemic on diagnostics and intermediate outcomes of outpatient diabetes care pre- and during COVID.MethodsThis observational cohort study included 8,442 diabetes patients in the Dutch Pediatric and Adult Registry of Diabetes (DPARD) visiting diabetes outpatient clinics in 2019 and 2021. A mixed-effects regression analysis was used to examine differences in target achievement of HbA1c, BMI, blood pressure, LDL-cholesterol, eGFR, and the difference in mean HbA1c between 2019 and 2020 among n = 1,426 outpatients who visited in both years. Analyses were adjusted for age, sex, and BMI.ResultsA 22.7% (21.6-23.8%, p < 0.001) decline in outpatient volume was observed during the pandemic (2020). BMI, lipid spectrum, kidney function, and HbA1c were assessed less frequently in 2020 than in 2019. In 2020, compared to 2019, the median HbA1c level increased by 2.2% (1.0 mmol/mol, p = 0.035) and the percentages of patients with known HbA1C meeting targets below 10, 8, 7% (86, 64, and 53 mmol/mol) decreased by 0.5%, 1.7% and 1.4%, respectively. Target blood pressure ≤ 130/80 mmHg was achieved more often in 2020 (15.0% versus 18.3%, p = 0.018), while HbA1c ≤ 86 mmol/mol was achieved less (89.3% versus 87.1%, p = 0.001), among diabetes outpatients seen in both 2019 and 2020. In patients visiting both years, HbA1c was 2.3% (1.9 mmol/l, 95% CI 1.2-2.5, p < 0.001) lower during the pandemic than in the prepandemic (2019).ConclusionsThe COVID pandemic was associated with a marked reduction in patient volume in diabetes outpatient care among five hospitals. Among patients who received outpatient care both before and during the pandemic period, HbA1c control and blood pressure control enhanced during the pandemic. Re-evaluation of current diabetes outpatient care organization is warranted to ensure optimal diabetes care in future times.

Project description:Emergence of multidrug-resistant Pseudomonas aeruginosa is of global concern. We aimed to identify epidemiological relationships, the most common way of transmission, and risk factors for presence of Verona Integron-encoded Metallo-?-lactamase (VIM)-positive P. aeruginosa (VIM-PA).We conducted a network analysis and matched case-control studies (1:2:2). Controls were hospital-based and matched with cases for ward, day of admission (control group 1 and 2) and time between admission and the identification of VIM-PA (control group 1). The network was visualized using Cytoscape, and risk factors were determined using conditional logistic regression.Between August 2003 and April 2015, 144 case patients and 576 control patients were recruited. We identified 307 relationships in 114 out of these 144 patients, with most relationships (84.7%) identified at the same department <?3 months after a previous case patient was discharged. In the multivariable model, having undergone ?1 gastroscopy (odds ratio [OR] = 4.40, 95% confidence interval [CI] = 2.00 to 9.65 and OR = 2.47; 95% CI = 1.12 to 5.49), >?10 day use of selective digestive tract decontamination (SDD) (OR = 2.97; 95% CI = 1.02 to 8.68 and OR = 4.61; 95% CI = 1.22 to 17.37), and use of quinolones (OR = 3.29; 95% CI = 1.34 to 8.10 and OR = 3.95; 95% CI = 1.13 to 13.83 and OR = 4.47; 95% CI = 1.75 to 11.43) were identified as risk factors when using both control groups.The network analysis indicated that the majority of transmissions occurred on the wards, but through unidentified and presumably persistent sources, which are most likely in the innate hospital environment. Previous use of certain antibiotic regimens made patients prone to VIM-PA carriage. Additionally, gastroscopy could be considered as a high-risk procedure in patients with risk factors. Our results add to the growing body of evidence that infection control measures targeting VIM-PA should be focused on reducing antibiotics and eliminating sources in the environment.

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Case-studies of displacement effects in Dutch hospital care.

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Case-studies of displacement effects in Dutch hospital care.

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