Inequalities in Health Care Experience of Patients with Chronic Conditions: Results from a Population-Based Study

Patients’ experience is an acknowledged key factor for the improvement of healthcare delivery quality. This study aims to explore the differences in healthcare experience among patients with chronic conditions according to individual sociodemographic and health-related variables. A population-based and cross-sectional study was conducted. The sample consisted of 3981 respondents of the Basque Health Survey (out of 8036 total respondents to the individual questionnaire), living in the Basque Country, aged 15 or older, self-reporting at least one chronic condition. Patient experience was assessed with the Instrument for Evaluation of the Experience of Chronic Patients questionnaire, which encompasses three major factors: interactions between patients and professionals oriented to improve outcomes (productive interactions); new ways of patient interaction with the health care system (the new relational model); and the ability of individuals to manage their care and improve their wellbeing based on professional-mediated interventions (self-management). We conducted descriptive and regression analyses. We estimated linear regression models with robust variances that allow testing for differences in experience according to sociodemographic characteristics, the number of comorbidities and the condition (for all chronic or for chronic patients’ subgroups). Although no unique inequality patterns by these characteristics can be inferred, females reported worse global results than males and older age was related to poorer experience with the new relational model in health care. Individuals with lower education levels tend to report lower experiences. There is not a clear pattern observed for the type of occupation. Multimorbidity and several specific chronic conditions were associated (positive or negatively) with patients’ experience. Health care experience was better in patients with greater quality of life. Understanding the relations among the patients’ experience and their sociodemographic and health-related characteristics is an essential issue for health care systems to improve quality of assistance

Factors Influencing Care Pathways for Breast and Prostate Cancer in a Hospital Setting

Breast cancer (BCa) and prostate cancer (PCa) are the most prevalent types of cancers. We aimed to understand and analyze the care pathways for BCa and PCa patients followed at a hospital setting by analyzing their different treatment lines. We evaluated the association between different treatment lines and the lifestyle and demographic characteristics of these patients. Two datasets were created using the electronic health records (EHRs) and information collected through semi-structured one-on-one interviews. Statistical analysis was performed to examine which variable had an impact on the treatment each patient followed. In total, 83 patients participated in the study that ran between January and November 2018 in Beacon Hospital. Results show that chemotherapy cycles indicate if a patient would have other treatments, i.e., patients who have targeted therapy (25/46) have more chemotherapy cycles (95% CI 4.66–9.52, p = 0.012), the same is observed with endocrine therapy (95% CI 4.77–13.59, p = 0.044). Patients who had bisphosphonate (11/46), an indication of bone metastasis, had more chemotherapy cycles (95% CI 5.19–6.60, p = 0.012). PCa patients with tall height (95% CI 176.70–183.85, p = 0.005), heavier (95% CI 85.80–99.57, p < 0.001), and a BMI above 25 (95% CI 1.85–2.62, p = 0.017) had chemotherapy compared to patients who were shorter, lighter and with BMI less than 25. Initial prostate-specific antigen level (PSA level) indicated if a patient would be treated with bisphosphonate or not (95% CI 45.51–96.14, p = 0.002). Lifestyle variables such as diet (95% CI 1.46–1.85, p = 0.016), and exercise (95% CI 1.20–1.96, p = 0.029) indicated that healthier and active BCa patients had undergone surgeries. Our findings show that chemotherapy cycles and lifestyle for BCa, and tallness and weight for PCa may indicate the rest of treatment plan for these patients. Understanding factors that influence care pathways allow a more person-centered care approach and the redesign of care processes

Comorbidity and Healthcare Expenditure in Women with Osteoporosis Living in the Basque Country (Spain)

Objectives. This study aimed to establish the prevalence of multimorbidity in women diagnosed with osteoporosis and to report it by deprivation index. The characteristics of comorbidity in osteoporotic women are compared to the general female chronic population, and the impact on healthcare expenditure of this population group is estimated. Methods. A cross-sectional analysis that included all Basque Country women aged 45 years and over (N = 579,575) was performed. Sociodemographic, diagnostic, and healthcare cost data were extracted from electronic databases for a one-year period. Chronic conditions were identified from their diagnoses and prescriptions. The existence of two or more chronic diseases out of a list of 47 was defined as multimorbidity. Results. 9.12% of women presented osteoporosis and 85.04% of them were multimorbid. Although multimorbidity in osteoporosis increased with age and deprivation level, prevalence was higher in the better-off groups. Women with osteoporosis had greater risk of having other musculoskeletal disorders but less risk of having diabetes (RR = 0.65) than chronic patients without osteoporosis. People with poorer socioeconomic status had higher healthcare cost. Conclusions. Most women with osteoporosis have multimorbidity. The variety of conditions emphasises the complexity of clinical management in this group and the importance of maintaining a generalist and multidisciplinary approach to their clinical care

Socio-economic inequalities in occurrence and health care costs in rheumatic and musculoskeletal diseases: results from a Spanish population-based study including 1.9 million persons

Objective To explore and compare the impact of socio-economic deprivation on the occurrence of the major rheumatic and musculoskeletal diseases (RMDs) and health care costs. Methods Data on diagnoses, socio-demographics and health care costs of the entire adult population of the Basque Country (Spain) was used. Area deprivation index included five categories (1 to 5 (most deprived)). Cost categories included primary and specialist care, emergency room, hospitalisations, and drug prescriptions. Twenty-nine RMDs were grouped into seven groups: Rheumatoid Arthritis, Spondyloarthritis, Crystal Arthropathies, Osteoarthritis, Soft Tissue Diseases, Connective Tissue Diseases, and Vasculitis. The relations between the deprivation and the occurrence of RMD and costs were explored in regression models adjusted for relevant confounders. Results Data from 1,923,156 adults were analysed. Mean age was 49.9 (SD18.4) years, 49% were males. Soft tissue diseases were the most prevalent RMD (5.5%, n=105,656), followed by osteoarthritis (2.2%, n=41,924). Socio-economic deprivation was associated with higher likelihood to have any of the 29 RMDs. The strongest socio-economic gradient was seen for the soft tissue diseases (OR 1.82 [95% CI 1.78; 1.85], most vs. least deprived), followed by osteoarthritis (OR 1.59 [1.54; 1.64]). Deprivation was also associated with higher costs across the majority of the conditions however patterns were more blurred, and inverse relationship was observed for connective tissue diseases, gout, hip osteoarthritis and undifferentiated (poly) arthritis. Conclusion Socio-economic deprivation is associated with increased occurrence of all RMDs, and in most cases more deprived patients incur higher health care costs

Building integrated care systems: a case study of Bidasoa Integrated Health Organisation

Introduction: This paper analyses the implementation of integrated care policies in the Basque Country through the deployment of an Integrated Health Organisation in Bidasoa area during the period 2011–2014. Structural, functional and clinical integration policies have been employed with the aim to deliver integrated and person-centred care for patients, especially for those living with chronic conditions.Methods: This organisational case study used multiple data sources and methods in a pragmatic and reflexive manner to build a picture of the organisational development over a 4-year period. In order to measure the progress of integration three concepts have been measured: (i) readiness for chronicity measured with Assessment of Readiness for Chronicity in Healthcare Organisations tool; (ii) collaboration between clinicians from different care levels measured with the D'Amour Questionnaire, and (iii) overall impact of integration through several indicators based on the Triple Aim Framework.Results: The measurement of organisational readiness for chronicity showed improvements in five of the six areas under evaluation. Similarly the collaboration between professionals of different care levels showed a steady improvement in each of the 10 items. Furthermore, the Triple Aim-based indicators showed a better experience of care in terms of patients’ perceptions of care coordination; a reduction in hospital utilisation, particularly for patients with complex chronic conditions; and cost-containment in terms of per capita expenditure.Conclusion: There is a significant amount of data that shows that Bidasoa Integrated Health Organisation has progressed in terms of delivering integrated care for chronic conditions with a positive impact on several Triple Aim outcomes

Development of a questionnaire to assess the collaboration between clinicians from different levels of care

PURPOSE: The purpose was to develop a questionnaire, gathering the professionals’ opinion, to measure the degree of collaboration between clinicians from different levels of care (primary care and specialised care) in a given healthcare organisation. This questionnaire was originally developed to assess processes of care integration in the Basque Health System (Spain), but can also be used in other contexts. METHODOLOGY: The questionnaire was based on the four-dimension model and 10 indicators of interprofessional collaboration in healthcare organisations proposed by D’Amour et al. [1]. The resulting questionnaire was pre-tested and its construct validity and homogeneity evaluated in three healthcare organisations of the Basque Health Service. RESULTS AND CONCLUSIONS: A 10 items questionnaire has been developed. Each of its items corresponds to one of the indicators proposed by D’Amour et al. [1]. The title of each of these items is: 1) Shared goals, 2) Patient-centred approach, 3) Mutual knowledge, 4) Trust, 5) Strategic guidelines, 6) Shared leadership, 7) Support for Innovation, 8) Forums for meeting, 9) Protocolisation and 10) Information Systems. Clinicians are asked to value each of these aspects in their healthcare organisation on a Likert scale of 5 degrees