Preferences for innovations in healthcare delivery models in the Swiss elderly population: a latent class, choice modelling study.

BACKGROUND: With the increasing number of people affected by multiple chronic conditions, it is essential for public-health professionals to promote strategies addressing patient needs for coordinated care. We aim to explore preference heterogeneity for better-coordinated care delivery models in Swiss older adults, and identify profiles of individuals more open to healthcare reforms. METHODS: A DCE (discrete choice experiment) survey was developed online and on paper for the Swiss adults aged 50+, following best practice. To elicit preferences, we estimated a latent class model allowing grouping individuals with similar preferences into distinct classes, and examined what background characteristics contributed to specific class membership. RESULTS: The optimal model identified three classes with different openness to reforms. Class 1 (49%) members were concerned with premium increases and were in favour of integrated care structures with care managed by interprofessional teams. Individuals in class 2 (19%) were younger, open to reforms, and expressed the needs for radical changes within the Swiss healthcare system. Class 3 respondents (32%) were strongly reluctant to changes. CONCLUSIONS: Our study goes beyond average preferences and identifies three distinct population profiles, a majority open to reforms on specific aspects of care delivery, a smallest group in favour radical changes, and a third strongly against changes. Therefore, tailored approaches around healthcare reforms are needed, e.g. explaining the role of interprofessional teams in coordinating care, electronic health records and insurance premium variation.

Factors Associated With Intent to Leave the Profession for the Allied Health Workforce: A Rapid Review.

Shortages of satisfied and well-trained health care professionals are an urgent threat for health systems worldwide. Although numerous studies have focused on retention issues for nurses and physicians, the situation for the allied health workforce remains understudied. We conducted a rapid review of the literature on allied health workers to investigate the main reasons for leaving their profession. 1,305 original research articles were retrieved from databases MEDLINE, CINAHL, PsycInfo, and Epistemonikos, of which 29 were eligible for data extraction. Reviewed studies featured mainly pharmacists, psychologists, dietitians, physical therapists, emergency medical professionals, and occupational therapists. We categorized 17 typical factors of the intent to leave as organizational, psychological, team and management, and job characteristics. The relative importance of each factor was assessed by measuring its prevalence in the selected literature. By revealing common themes across allied health professions, our work suggests actionable insights to improve retention in these vital services.

Potentially avoidable hospitalizations and socioeconomic status in Switzerland: A small area-level analysis.

The Swiss healthcare system is well known for the quality of its healthcare and population health but also for its high cost, particularly regarding out-of-pocket expenses. We conduct the first national study on the association between socioeconomic status and access to community-based ambulatory care (CBAC). We analyze administrative and hospital discharge data at the small area level over a four-year time period (2014 - 2017). We develop a socioeconomic deprivation indicator and rely on a well-accepted indicator of potentially avoidable hospitalizations as a measure of access to CBAC. We estimate socioeconomic gradients at the national and cantonal levels with mixed effects models pooled over four years. We compare gradient estimates among specifications without control variables and those that include control variables for area geography and physician availability. We find that the most deprived area is associated with an excess of 2.80 potentially avoidable hospitalizations per 1,000 population (3.01 with control variables) compared to the least deprived area. We also find significant gradient variation across cantons with a difference of 5.40 (5.54 with control variables) between the smallest and largest canton gradients. Addressing broader social determinants of health, financial barriers to access, and strengthening CBAC services in targeted areas would likely reduce the observed gap.

Health System Performance and Resilience in Times of Crisis: An Adapted Conceptual Framework.

With the COVID-19 pandemic, the notion of health system (HS) performance has been discussed, and the notion of resilience has become increasingly important. Lacking a recognised framework that measures the performance of HSs throughout a crisis, i.e., one that explicitly includes time as a key aspect, we examined the literature about conceptual frameworks for measuring the performance and the resilience of HSs. This review highlighted a significant diversity among 18 distinct HS performance frameworks and 13 distinct HS resilience frameworks. On this basis, we developed a model that integrates the WHO's widely recognised six building block framework in a novel approach derived from the European Observatory on HSs and Policies. The resulting framework adapts the building blocks to the different stages of a crisis, thereby allowing for a comprehensive assessment of an entire health system's performance throughout the crisis's duration, while also considering the key aspect of resilience. For a more pragmatic use of this framework in the future, indicators will be developed as a next step.

Socio-demographic and health-related determinants of patients' overall rating and experiences of cancer care.

BACKGROUND: Understanding how patient-reported experiences of care and overall rating of care vary among patients with different characteristics is useful to help interpret results from patient experience surveys and design targeted improvement interventions. The primary objective of this paper was to identify the socio-demographic and health-related characteristics independently associated with overall rating of cancer care. The secondary objective was to explore if and how these characteristics were associated with specific experiences of cancer care. METHODS: This cross-sectional multicenter study analyzed self-reported data collected from 2696 patients diagnosed with breast, prostate, lung, colorectal, skin, or hematological cancer from four large hospitals in French-speaking Switzerland. Multivariate logistic regressions with purposeful stepwise selection of independent variables were used to identify the socio-demographic and health-related characteristics independently associated with overall rating of cancer care in the primary analyses. In the secondary analyses, we ran the multivariate model from the primary analyses with specific experiences of care as outcomes to estimate the adjusted odds ratios (OR) and 95% confidence intervals (CI) of the selected characteristics. RESULTS: Respondents' mean rating of overall cancer care was 8.5 on a scale from 0 to 10, with 17% categorized as reporting a low rating (0-7 rating). Being a woman (OR 1.43, 95% CI 1.12-1.83), not being Swiss (OR 1.47, 95% CI 1.12-1.94), reporting lower health literacy (OR 1.95, 95% CI 1.54-2.47), preferring making medical decisions alone (OR 1.92, 95% CI 1.38-2.67), having forgone care due to cost (OR 1.72, 95% CI 1.29-2.29), having used complementary medicine (OR 1.55, 95% CI 1.22-1.97), and reporting poorer health (OR 3.12, 95% CI 2.17-4.50) were all independently associated with a low rating of overall cancer care. Poorer health, lower health literacy, and having forgone care were the three characteristics most often associated with problematic experiences of care. CONCLUSIONS: Our results identified several patient characteristics consistently associated with lower overall rating of care and specific experiences of cancer care. Among these determinants, health literacy and financial hardship emerged as key recurring factors shaping poor patient experiences that should be prioritized for attention by cancer care services.

Integrated care models in Swiss primary care: An embedded multiple case study.

RATIONALE, AIMSAND OBJECTIVES: Healthcare systems are confronted with a rising number of patients with chronic conditions and complex care needs, requiring the development of new models of coordinated, patient-centred care. In this study, we aimed to describe and compare a range of new models of care recently implemented in primary care in Switzerland, as well as to gain insight into the type of coordination or integration implemented, the strengths and weaknesses of each model and the challenges they face. METHOD: We used an embedded multiple case study design to describe in-depth a series of current Swiss initiatives that specifically aim to improve care coordination in primary care. For each model, documents were collected, a questionnaire was administered and semistructured interviews with key actors were conducted. A within-case analysis followed by a cross-case analysis were performed. Based on the Rainbow Model of Integrated Care framework, similarities and differences between the models were highlighted. RESULTS: Eight integrated care initiatives were included in the analysis, representing three types of models: independent multiprofessional GP practices, multiprofessional GP practices/health centres that are part of larger groups and regional integrated delivery systems. Recognized effective activities and tools to improve care coordination, such as multidisciplinary teams, case manager involvement, use of electronic medical records, patient education and use of care plans, were implemented by at least six of the eight initiatives studied. The main obstacles to the implementation of integrated care models were the inadequate Swiss reimbursement policies and payment mechanisms and the desire of some healthcare professionals to protect their territory in a context where new roles are emerging. CONCLUSION: The integrated care models implemented in Switzerland are promising; nevertheless, financial and legal reforms must be introduced to promote integrated care in practice.

Impact of the COVID-19 pandemic on the quality of diabetes care: Insights from longitudinal data in Switzerland.

In this population-based cohort study on diabetes care, self-reported quality indicators measured just before (2019) and during (2021) the COVID-19 pandemic were comparable, apart from a modest increase in seasonal influenza immunization and a small decline in patient-centeredness of care in 2021.

The Lausanne Hospitality Model: a model integrating hospitality into supportive care.

PURPOSE: Cancer care is undergoing a conceptual shift with the introduction of the principles of patient-centered care to support patients' individual needs. These needs include those related to hospitality during cancer treatments. This paper aims to provide an extension of the supportive care framework by bringing in the hospitality approach inspired by the hotel industry. METHOD: The "Lausanne Hospitality Model," integrating hospitality into supportive care, was developed through an iterative process, combining expertise in supportive care and health services research, communication, and the hotel industry. RESULTS: This conceptual paper integrates hospitality and service sciences into the supportive care framework. The "Lausanne Hospitality Model" offers new insights into the notions of cancer journey, patient experience, services, and practices that may be involved when facilitating hospitality. While most concepts used in the model are based on prior research, they have not been combined previously. The model highlights the place of hospitality in the patient's experience within cancer services and, by extension, its role in professional practice. CONCLUSION: Practices involved in the delivery of cancer care need to reinforce the importance attributed to hospitality services, as they impact patients' experiences. By integrating the hospitality perspective into healthcare delivery and supportive care, this paper addresses previously theoretically overlooked aspects that impact patients' experiences during cancer care.

Preferences of older adults for healthcare models designed to improve care coordination: Evidence from Western Switzerland.

Implementing innovations in care delivery in Switzerland is challenging due to the fragmented nature of the system and the specificities of the political process (i.e., direct democracy, decentralized decision-making). In this context, it is particularly important to account for population preferences when designing policies. We designed a discrete choice experiment to study population preferences for coordination-improving care models. Specifically, we assessed the relative importance of model characteristics (i.e., insurance premium, presence of care coordinator, access to specialists, use of EMR, cost-sharing for chronic patients, incentives for informal care), and predicted uptake under different policy scenarios. We accounted for heterogeneity in preferences for the status quo option using an error component logit model. Respondents attached the highest importance to the price attribute (i.e. insurance premium) (0.31, CI: 0.27- 0.36) and to the presence of a care coordinator (0.27, CI: 0.23 - 0.31). Policy scenarios showed for instance that gatekeeping would be preferred to free access to specialists if the model includes a GP or an interprofessional team as a care coordinator. Although attachment to the status quo is high in the studied population, there are potential ways to improve acceptance of alternative care models by implementation of positively valued innovations.

Trends in the disability-free life expectancy in Switzerland over a 10-year period: an analysis of survey-based data.

INTRODUCTION: Increasing life expectancy raises concerns whether the years gained will be spent free of disability. Lately, trends across countries have been heterogeneous. This work examined recent trends in disability-free life expectancy and life expectancy with mild  or severe disability in Switzerland. METHODS: Life expectancy was estimated using national life tables, by sex and 5-year age groups. Based on Sullivan's method, disability-free life expectancy and life expectancy with disability were computed using information from the Swiss Health Survey on age- and sex-specific prevalence of mild and severe disability. Life expectancy, disability-free life expectancy and life expectancy with disability were estimated in 2007, 2012, and 2017, at 65 and 80 years of age, for both sexes. RESULTS: Between 2007 and 2017, disability-free life expectancy at 65 and 80 years of age increased by 2.1 and 1.4 years, respectively, in men and by 1.5 and 1.1 years, respectively, in women. Meanwhile, life expectancy with mild disability decreased by 6 months in both sexes at age 65 and in men at age 80, but only 1 month in women at age 80. Life expectancy with severe disability also decreased at both ages, by approximately 6 months in women but only 2 to 3 months in men. The proportion of disability-free life expectancy increased significantly in both sexes and ages. For example, disability-free life expectancy / life expectancy at age 65 increased from 67% (95% confidence interval [CI] 66‒69) to 73% (95% CI 71‒74) in women and from 77% (95% CI 75‒79) to 82% (95% CI 81‒84) in men. CONCLUSION: From 2007 to 2017, disability-free life expectancy at age 65 and 80 increased in Swiss women and men. These gains outweighed those in life expectancy, reflecting some compression of morbidity.

Identifying common patterns of health services use: a longitudinal study of older Swiss adults' care trajectories.

BACKGROUND: Population ageing puts pressure on health systems initially designed to handle acute and episodic illnesses. Segmenting an ageing population based on its healthcare utilization may enable policymakers to undertake evidence-based resource planning. We aimed to derive a typology of healthcare utilization trajectories in Swiss older adults. METHODS: Our work used data from the Lc65 + study, a population-based cohort of individuals aged 65 to 70 years at enrolment. The dimensions of healthcare utilization considered were ambulatory care, emergency care, hospitalizations, professional home care and nursing home stay. We applied the Sequence Analysis framework, within which we quantified the variation between each multidimensional pair of sequences, implemented a clustering procedure that grouped together older persons with similar profiles of health services use, and characterized clusters of individuals using selected baseline covariates. RESULTS: Healthcare utilization trajectories were analysed for 2271 community-dwelling older adults over a period of 11 years. Six homogeneous subgroups were identified: constant low utilization (83.3% of participants), increased utilization (4.9%), late health deterioration (4.4%), ambulatory care to nursing home (1.5%), early fatal event (3.8%) and high ambulatory care (2.1%). Associations were found between cluster membership and age, sex, household composition, self-perceived health, grip strength measurement, comorbidities, and functional dependency. CONCLUSIONS: The heterogeneous healthcare utilization profiles can be clustered into six common patterns. Different manifestations of functional decline were apparent in two distinct trajectory groups featuring regular home care use. Furthermore, a small proportion of individuals with a unique set of characteristics was related to the highest levels of ambulatory and emergency care use. New research avenues are outlined to investigate time-varying effects of health factors inside the clusters containing most unfavourable outcomes.

Patients' experiences with cancer care in Switzerland: Results of a multicentre cross-sectional survey.

OBJECTIVES: The objectives were to describe patients' experiences of cancer care in Switzerland and explore the variation of these experiences by type of cancer. METHODS: The Swiss Cancer Patient Experiences (SCAPE) study was a cross-sectional, multicentre survey conducted in 2018. Adult patients (n = 7145) with breast, prostate, lung, colorectal, skin or haematological cancer from four large hospitals in French-speaking Switzerland were invited to complete a survey. Logistic regressions were used to assess whether experiences varied according to cancer type, adjusting for confounders. RESULTS: Of the 3121 persons who returned the survey (44% response rate), 2755 reporting an eligible cancer were included in the analyses. Participants' average score for overall care was 8.5 out of a maximum score of 10. Higher rates of positive experiences were found for nurse consultations (94%), diagnostic tests (85%) and inpatient care (82%). Lower positive responses were reported for support for people with cancer (70%), treatment decisions (66%), diagnosis (65%) and home care (55%). We observed non-systematic differences in experiences of care by cancer type. CONCLUSIONS: This large study identified that cancer patient experiences can be improved in relation to communication, information and supportive care aspects. Improvement efforts should target these areas of care to enhance responsiveness of cancer care.

Quality of Cancer Care in Switzerland: Going Beyond Traditional Quality Indicators by Collecting Patient-Reported Experiences of Cancer Care.

Background: High-quality cancer care should be effective, safe, accessible, efficient, equitable, and responsive to patients' needs. In Switzerland, information on the safety and effectiveness of cancer care is available, but not on responsiveness. Systematic and comprehensive reports from patients on cancer care are missing and needed to complete the assessment of the quality of cancer care. Evidence: Patient-reported experiences of cancer care are key to evaluate responsiveness of care and drive quality improvement initiatives in oncology practice. Studies have found that responsive care leads to more positive experiences of care, which can lead to more effective treatments and health benefits. Policy Options and Recommendations: Our first recommendation is to develop a position statement on the importance and value of patient-reported experiences of cancer care. Our second recommendation is to systematically collect patients' experiences of cancer care at the national level, through a dedicated national cancer-specific measurement program or through the integration of patient-reported experiences measures in cancer registries. Conclusion: The systematic collection of patient-reported experiences of cancer care provides essential information on what matters to patients in addition to traditional clinical information, including patients as partners of the overall assessment of healthcare performance.

Association between continuity of care (COC), healthcare use and costs: what can we learn from claims data? A rapid review.

OBJECTIVE: To describe how longitudinal continuity of care (COC) is measured using claims-based data and to review its association with healthcare use and costs. RESEARCH DESIGN: Rapid review of the literature. METHODS: We searched Medline (PubMed), EMBASE and Cochrane Central, manually checked the references of included studies, and hand-searched websites for potentially additional eligible studies. RESULTS: We included 46 studies conducted in North America, East Asia and Europe, which used 14 COC indicators. Most reported studies (39/46) showed that higher COC was associated with lower healthcare use and costs. Most studies (37/46) adjusted for possible time bias and discussed causality between the outcomes and COC, or at least acknowledged the lack of it as a limitation. CONCLUSIONS: Whereas a wide range of indicators is used to measure COC in claims-based data, associations between COC and healthcare use and costs were consistent, showing lower healthcare use and costs with higher COC. Results were observed in various population groups from multiple countries and settings. Further research is needed to make stronger causal claims.

Ambulatory Healthcare Use Profiles of Patients With Diabetes and Their Association With Quality of Care: A Cross-Sectional Study.

Background: Despite the growing burden of diabetes worldwide, evidence regarding the optimal models of care to improve the quality of diabetes care remains equivocal. This study aimed to identify profiles of patients with distinct ambulatory care use patterns and to examine the association of these profiles with the quality of diabetes care. Methods: We performed a cross-sectional study of the baseline data of 550 non-institutionalized adults included in a prospective, community-based, cohort study on diabetes care conducted in Switzerland. Clusters of participants with distinct patterns of ambulatory healthcare use were identified using discrete mixture models. To measure the quality of diabetes care, we used both processes of care indicators (eye and foot examination, microalbuminuria screening, blood cholesterol and glycated hemoglobin measurement [HbA1c], influenza immunization, blood pressure measurement, physical activity and diet advice) and outcome indicators (12-Item Short-Form Health Survey [SF-12], Audit of Diabetes-Dependent Quality of Life [ADDQoL], Patient Assessment of Chronic Illness Care [PACIC], Diabetes Self-Efficacy Scale, HbA1c value, and blood pressure <140/90 mmHg). For each profile of ambulatory healthcare use, we calculated adjusted probabilities of receiving processes of care and estimated adjusted outcomes of care using logistic and linear regression models, respectively. Results: Four profiles of ambulatory healthcare use were identified: participants with more visits to the general practitioner [GP] than to the diabetologist and receiving concomitant podiatry care ("GP & podiatrist", n=86); participants visiting almost exclusively their GP ("GP only", n=195); participants with a substantially higher use of all ambulatory services ("High users", n=96); and participants reporting more visits to the diabetologist and less visits to the GP than other profiles ("Diabetologist first", n=173). Whereas participants belonging to the "GP only" profile were less likely to report most processes related to the quality of diabetes care, outcomes of care were relatively comparable across all ambulatory healthcare use profiles. Conclusions: Slight differences in quality of diabetes care appear across the four ambulatory healthcare use profiles identified in this study. Overall, however, results suggest that room for improvement exists in all profiles, and further investigation is necessary to determine whether individual characteristics (like diabetes-related factors) and/or healthcare factors contribute to the differences observed between profiles.

Exploring Patient Multimorbidity and Complexity Using Health Insurance Claims Data: A Cluster Analysis Approach.

BACKGROUND: Although the trend of progressing morbidity is widely recognized, there are numerous challenges when studying multimorbidity and patient complexity. For multimorbid or complex patients, prone to fragmented care and high health care use, novel estimation approaches need to be developed. OBJECTIVE: This study aims to investigate the patient multimorbidity and complexity of Swiss residents aged ≥50 years using clustering methodology in claims data. METHODS: We adopted a clustering methodology based on random forests and used 34 pharmacy-based cost groups as the only input feature for the procedure. To detect clusters, we applied hierarchical density-based spatial clustering of applications with noise. The reasonable hyperparameters were chosen based on various metrics embedded in the algorithms (out-of-bag misclassification error, normalized stress, and cluster persistence) and the clinical relevance of the obtained clusters. RESULTS: Based on cluster analysis output for 18,732 individuals, we identified an outlier group and 7 clusters: individuals without diseases, patients with only hypertension-related diseases, patients with only mental diseases, complex high-cost high-need patients, slightly complex patients with inexpensive low-severity pharmacy-based cost groups, patients with 1 costly disease, and older high-risk patients. CONCLUSIONS: Our study demonstrated that cluster analysis based on pharmacy-based cost group information from claims-based data is feasible and highlights clinically relevant clusters. Such an approach allows expanding the understanding of multimorbidity beyond simple disease counts and can identify the population profiles with increased health care use and costs. This study may foster the development of integrated and coordinated care, which is high on the agenda in policy making, care planning, and delivery.

Early impact of the COVID-19 pandemic on in-person outpatient care utilisation: a rapid review.

OBJECTIVES: To quantitatively assess the early impact of the COVID-19 pandemic on in-person outpatient care utilisation worldwide, as well as across categories of services, types of care and medical specialties. DESIGN: Rapid review. METHOD: A search of MEDLINE and Embase was conducted to identify studies published from 1 January 2020 to 12 February 2021, which quantitatively reported the impact of the COVID-19 pandemic on the amount of outpatient care services delivered (in-person visits, diagnostic/screening procedures and treatments). There was no restriction on the type of medical care (emergency/primary/specialty care) or target population (adult/paediatric). All articles presenting primary data from studies reporting on outpatient care utilisation were included. Studies describing conditions requiring hospitalisation or limited to telehealth services were excluded. RESULTS: A total of 517 articles reporting 1011 outpatient care utilisation measures in 49 countries worldwide were eligible for inclusion. Of those, 93% focused on the first semester of 2020 (January to June). The reported results showed an almost universal decline in in-person outpatient care utilisation, with a 56% overall median relative decrease. Heterogeneity across countries was high, with median decreases ranging from 10% to 91%. Diagnostic and screening procedures (-63%), as well as in-person visits (-56%), were more affected than treatments (-36%). Emergency care showed a smaller relative decline (-49%) than primary (-60%) and specialty care (-58%). CONCLUSIONS: The provision of in-person outpatient care services has been strongly impacted by the COVID-19 pandemic, but heterogeneously across countries. The long-term population health consequences of the disruption of outpatient care service delivery remain currently unknown and need to be studied. PROSPERO REGISTRATION NUMBER: CRD42021237366.

Continuity of care and multimorbidity in the 50+ Swiss population: An analysis of claims data.

Objective: To assess the relationship between continuity of care (COC) and multimorbidity in the older general population in Switzerland, accounting for relevant determinants of COC, and to apply various expressions of multimorbidity derived from claims data. Methods: We used data on 240'000 insured individuals aged 50+ for the period 2015-2018, received from one of the largest Swiss health insurance company. We calculated Bice-Boxerman index based on all doctor visits (overall COC) and visits to the general practitioners (COC GP). We analyzed the relationship between COC and multimorbidity using generalized linear and probit models. To express multimorbidity, we applied three approaches based on pharmacy-cost groups (PCGs) assigned to an individual. First, we used simple PCG counts. Second, we expressed multimorbidity via clinically relevant disease groups derived from PCGs. Finally, a data-driven approach allowed defining distinct clusters representing different patient complexities. Results: The association between overall COC and multimorbidity expressed in PCG counts was modest: COC among individuals with 3+ PCGs was 2 percentage points higher than COC among individuals with 0 PCGs. The approach of clinically relevant disease groups showed larger variation in COC and its association with multimorbidity. The data-driven approach showed that most complex ("high-cost high-need") individuals tended to have higher overall COC. Additionally, 70% of the sample visited exclusively one general practitioner (COC GP = 1.0). Other important factors associated with COC in the Swiss context were insurance model with gatekeeping, level of deductibles, and region of residence. Conclusions: Multimorbid patients require regular medical attention often involving multiple healthcare providers, which can lead to varying COC, depending on types of doctors seen and specific condition of the patient. Insurance models with gatekeeping may facilitate COC, prompting developments of better-designed models of care. This represents important implications for policymakers, health insurance representatives, medical professionals and hospital managers.