Analyzing the 20-year declining trend of hospital length-of-stay in European countries with different healthcare systems and reimbursement models

The study aims to investigate the last 20-year (2000-2019) of hospital length of stay (LOS) trends and their association with different healthcare systems (HS) among 25 European countries. A panel dataset was created using secondary data from Eurostat and Global Burden of Disease study databases, with dependent and control variables aggregated at the national level over a period of 20 years. A time trend analysis was conducted using a weighted least squares model for panel data to investigate the association between LOS, HS models [National Health Service (NHS), National Health Insurance, Social Health Insurance (SHI), and Etatist Social Health Insurance], healthcare reimbursement schemes [Prospective Global Budget (PGB), Diagnosis Related Groups (DRG), and Procedure Service Payment (PSP)], and control variables. The study showed a reduction of average LOS from 9.20 days in 2000 to 7.24 in 2019. SHI was associated with a lower LOS compared to NHS (b = - 0.6327, p < 0.05). Both DRG (b = 1.2399, p < 0.05) and PSP (b = 1.1677, p < 0.05) reimbursement models were positively associated with LOS compared to PGB. Our results confirmed the downward trend of LOS in the last 20 years, its multifactorial nature, and the influence of the SHI model of HS. This could be due to the financial incentives present in fee-for-service payment models and the role of competition in creating a market for healthcare services. These results offer insight into the factors influencing healthcare utilization and can inform the design of more effective, efficient, and sustainable HS.

Precision medicine and the problem of structural injustice

Many countries currently invest in technologies and data infrastructures to foster precision medicine (PM), which is hoped to better tailor disease treatment and prevention to individual patients. But who can expect to benefit from PM? The answer depends not only on scientific developments but also on the willingness to address the problem of structural injustice. One important step is to confront the problem of underrepresentation of certain populations in PM cohorts via improved research inclusivity. Yet, we argue that the perspective needs to be broadened because the (in)equitable effects of PM are also strongly contingent on wider structural factors and prioritization of healthcare strategies and resources. When (and before) implementing PM, it is crucial to attend to how the organisation of healthcare systems influences who will benefit, as well as whether PM may present challenges for a solidaristic sharing of costs and risks. We discuss these issues through a comparative lens of healthcare models and PM-initiatives in the United States, Austria, and Denmark. The analysis draws attention to how PM hinges on-and simultaneously affects-access to healthcare services, public trust in data handling, and prioritization of healthcare resources. Finally, we provide suggestions for how to mitigate foreseeable negative effects.

Technology-based mental healthcare models: A systematic review of the literature

INTRODUCTION

This systematic review summarises the existing evidence on the implementation of technology-based mental healthcare models in the primary care setting.

METHODS

A systematic search was conducted (MEDLINE, Embase, CENTRAL) in August 2019 and studies were selected according to predefined eligibility criteria. The main outcomes were clinical effectiveness, adherence to primary treatment and cost of implementation.

SELECTION CRITERIA

Studies with an experimental or quasi-experimental design that evaluated the implementation of technology-based mental healthcare models were included.

RESULTS

Five articles met the inclusion criteria. The models included technological devices such as tablets, cellphones and computers, with programs and mobile apps that supported decision-making in the care pathway. These decisions took place at different times, from the universal screening phase to the follow-up of patients with specific conditions. In general, the studies showed a decrease in the reported symptoms. However, there was great heterogeneity in both the health conditions and the outcomes, which hindered a quantitative synthesis. The assessment of risk of bias showed low quality of evidence.

CONCLUSION

There is not enough evidence to support the implementation of a technology-based mental healthcare model. High quality studies that focus on implementation and effectiveness outcomes are needed to evaluate the impact of technology-based mental healthcare models in the primary care setting.

Technology-based mental healthcare models: A systematic review of the literature

INTRODUCTION

This systematic review summarises the existing evidence on the implementation of technology-based mental healthcare models in the primary care setting.

METHODS

A systematic search was conducted (MEDLINE, Embase, CENTRAL) in August 2019 and studies were selected according to predefined eligibility criteria. The main outcomes were clinical effectiveness, adherence to primary treatment and cost of implementation.

SELECTION CRITERIA

Studies with an experimental or quasi-experimental design that evaluated the implementation of technology-based mental healthcare models were included.

RESULTS

Five articles met the inclusion criteria. The models included technological devices such as tablets, cellphones and computers, with programs and mobile apps that supported decision-making in the care pathway. These decisions took place at different times, from the universal screening phase to the follow-up of patients with specific conditions. In general, the studies showed a decrease in the reported symptoms. However, there was great heterogeneity in both the health conditions and the outcomes, which hindered a quantitative synthesis. The assessment of risk of bias showed low quality of evidence.

CONCLUSION

There is not enough evidence to support the implementation of a technology-based mental healthcare model. High quality studies that focus on implementation and effectiveness outcomes are needed to evaluate the impact of technology-based mental healthcare models in the primary care setting.

Living with leg lymphedema: developing a novel model of quality lymphedema care for cancer survivors

Purpose

Lower-extremity lymphedema (LEL) is a lifelong consequence of cancer therapy and can lead to serious physical and psychosocial complications for many cancer survivors. However, clinical knowledge and treatment of LEL remain minimal. The purpose of this study was to integrate perspectives of lymphedema patients and healthcare providers (HCPs) on LEL to develop a novel model for quality lymphedema care.

Methods

A mixed-methods approach was implemented. Standardized questionnaires and semi-structured interviews were used to assess psychosocial well-being and experiences of LEL patients. Interviews were also used to evaluate the clinical experiences of HCPs working within tumour groups associated with cancer-related LEL. Thematic analysis was used to analyse qualitative data.

Results

Twenty-two patients and eleven HCPs participated in this study. Patient QOL, generalized anxiety and depressive symptom scores revealed a complex interplay between psychosocial well-being and supportive LEL care after cancer. Three themes emerged from interviews with patients (n = 19) and HCPs (n = 11): level of lymphedema knowledge, effectiveness of rehabilitation oncology services and barriers to care.

Implications for Cancer Survivors

We developed a novel model for quality lymphedema care that emphasizes the importance of continued physical and psychosocial support for LEL patients, while illustrating the importance of HCPs in facilitating a smooth transition for patients to LEL care after cancer treatment.

Electronic supplementary material

The online version of this article (10.1007/s11764-020-00919-2) contains supplementary material, which is available to authorized users.

Time to Surgery Reduction in Hip Fracture Patients on an Integrated Orthogeriatric Unit: A Comparative Study of Three Healthcare Models

Objective

To investigate the clinical efficacy of three different healthcare models (Traditional Model, Geriatric Consultant Model, and Orthogeriatric Unit Model) consecutively applied to a single academic center (University Hospital of Salamanca, Spain) for older hip fracture patients.

Methods

We performed a retrospective study, including 2741 hip fracture patients older than 64 years, admitted between 1 January 2003 and 31 December 2014 to the University Hospital of Salamanca. Patients were divided into three groups according to the healthcare model applied. There were 983 patients on the Traditional Model, 945 patients on the Geriatric Consultant Model, and 813 patients on the Orthogeriatric Unit Model. We recorded age and gender of patients, functional status at admission (Barthel Index, Katz Index, and Physical Red Cross Scale), type of fracture, and intervention, and we analyzed the length of stay, time to surgery, post‐surgical stay, and in‐hospital mortality according to the healthcare model applied.

Results

Hip fractures are much more frequent in women, and an increase in the average age of patients was observed along with the study (P < 0.001). The most common type of fracture in the three models studied was an extracapsular fracture, for which the most common surgical procedure used was osteosynthesis. On the functional status of patients, there were no differences on the ambulatory ability previous to fracture, measured by the Physical Red Cross Scale, and the percentage of patients with a slight dependence determined by the Barthel Index (>60) was similar in both groups, but considering the Katz Index, the percentage of patients with a high degree of independence (A‐B) was significantly higher for the group of patients treated on the Orthogeriatric Unit Model period (56%, P = 0.009).

The Orthogeriatric Unit Model registered the greatest percentage of patients undergoing surgery (96.1%, P < 0.001) and the greatest number of early surgical procedures (<24 h) (24.8%, P < 0.001). The orthogeriatric unit model showed the shortest duration of stay (9 days median), decreasing by one day in respect of each of the other models studied (P < 0.001). Time to surgery was also significantly reduced with the Orthogeriatric Unit Model (median of 3 days, P < 0.001). With regard to in‐hospital follow‐up, there was a reduction in in‐hospital mortality during the study period. We observed differences among the three healthcare models, but without statistical significance.

Conclusions

The healthcare model based on an Orthogeriatric Unit seems to be the most efficient, because it reaches a reduction in time to surgery, with an increased number of patients surgically treated on in the first 24 h, and the greatest frequency of surgically‐treated patients.

Aging in rural, indigenous communities: an intercultural and participatory healthcare approach in Mexico

From an ethno-gerontological perspective, new models are needed to fulfill the health needs of the indigenous older adult population in Mexico. In this paper we developed a comprehensive healthcare model, interculturally appropriate, designed to meet the needs of Mexican indigenous older adults. The model was constructed using a qualitative design with semi-structured interviews of older adults, health providers, and available health resources in three Mexican indigenous regions. An ethnographical review was carried out to contextually characterize these communities. At the same time, a comprehensive bibliographic revision was made to identify socio-demographic markers. Results pointed out that Mexican indigenous older adults are not covered by any type of social health insurance program. Their health problems tend in large part to be chronic in nature due to the lack of early diagnosis and treatment. There is a need for trained human resources in the field of gerontology encompassing the sociocultural context of the indigenous groups. The geographical location of these communities limits the permanent presence of healthcare givers and thus limits access to continuous care. Traditional healthcare givers, able to speak the native language, are a great asset allowing the invaluable possibility of direct verbal communication. Based upon the data gathered from indigenous older adults and service providers, in tandem with evidence from the literature, we identified key elements for successful intervention and designed an intervention model. We concluded that indigenous older adults are a more vulnerable group, given that aside from being elderly in a country where the health needs of these populations exceed the capacity of existing healthcare services, their ethnicity serves as an added barrier preventing their access to the limited available healthcare resources. To achieve uniformity in providing health care, today's health systems need to address intercultural and participative aspects of healthcare models.

The rehabilitation enhancing aging through connected health (REACH) study: study protocol for a quasi-experimental clinical trial

Background

Mobility limitations among older adults increase the risk for disability and healthcare utilization. Rehabilitative care is identified as the most efficacious treatment for maintaining physical function. However, there is insufficient evidence identifying a healthcare model that targets prevention of mobility decline among older adults. The objective of this study is to evaluate the preliminary effectiveness of a physical therapy program, augmented with mobile tele-health technology, on mobility function and healthcare utilization among older adults.

Methods

This is a quasi-experimental 12-month clinical trial conducted within a metropolitan-based healthcare system in the northeastern United States. It is in parallel with an existing longitudinal cohort study evaluating mobility decline among community-dwelling older adult primary care patients over one year. Seventy-five older adults (≥ 65–95 years) are being recruited using identical inclusion/exclusion criteria to the cohort study. Three aims will be evaluated: the effect of our program on 1) physical function, 2) healthcare utilization, and 3) healthcare costs. Changes in patient-reported function over 1 year in those receiving the intervention (aim 1) will be compared to propensity score matched controls (N = 150) from the cohort study. For aims 2 and 3, propensity scores, derived from logistic regression model that includes demographic and diagnostic information available through claims and enrollment information, will be used to match treatment and control patients in a ratio of 1:2 or 1:3 from a Medicare Claims Registry derived from the same geographic region. The intervention consists of a one-year physical therapy program that is divided between a combination of outpatient and home visits (6–10 total visits) and is augmented on a computerized tablet using of a commercially available application to deliver a progressive home-based exercise program emphasizing lower-extremity function and a walking program.

Discussion

Incorporating mobile health into current healthcare models of rehabilitative care has the potential to decrease hospital visits and provide a longer duration of care. If the hypotheses are supported and demonstrate improved mobility and reduced healthcare utilization, this innovative care model would be applicable for optimizing the maintenance of functional independence among community-dwelling older adults.

Trial registration

ClinicalTrial.gov Identifier: NCT02580409 (Date of registration October 14, 2015).

A model of care for healthy menopause and ageing: EMAS position statement

Worldwide, the number of menopausal women is increasing. They present with complex medical issues that lie beyond the traditional scope of gynaecologists and general practitioners (GPs). The European Menopause and Andropause Society (EMAS) therefore provides a holistic model of care for healthy menopause (HM). The HM healthcare model's core consists of a lead clinician, specialist nurse(s) and the woman herself, supported by an interdisciplinary network of medical experts and providers of alternative/complementary medicine. As HM specialist teams are scarce in Europe, they are also responsible for structuring and optimizing processes in primary care (general gynaecologists and GPs) and secondary care (HM specialists). Activities for accreditation of the subspecialty Women's Health are encouraged.