Data analysis plan of the OECD PaRIS survey: leveraging a multi-level approach to analyse data collected from people living with chronic conditions and their primary care practices in 20 countries.

OBJECTIVE: In view of the increasing number of people with (multiple) chronic conditions, the Organisation for Economic Co-operation and Development (OECD) initiated the International Survey of People Living with Chronic Conditions (PaRIS survey), which aims to provide insight in patient-reported outcomes and experiences of chronic care provided by primary care practices to support policy development. The objective of this research note is to describe the structure of the data, collected in the PaRIS survey and how the data will be analysed in a multilevel approach for cross-country comparison. ANALYSIS PLAN: The data structure of the PaRIS survey represents three levels: countries/health systems, primary care practices and patients. Multilevel analysis is used because of its accuracy in estimating country-level outcomes, its flexibility in modelling relationships, and its opportunities in connecting to relevant policy questions. Country-level outcomes will be estimated to facilitate cross-country comparison and (future) within-country comparison over time. Characteristics of patients that potentially explain variation in patient-reported outcomes and experiences can be linked to primary care practice and country/health system characteristics. This makes it possible to address policy-relevant questions relating, e.g., to the impact of chronic care management on patients with a specific chronic condition.

International cross-cultural development and field testing of the primary care practice questionnaire for the PaRIS survey (PaRIS-PCPQ).

BACKGROUND: The PaRIS survey, an initiative of the Organisation for Economic Co-operation and Development (OECD), aims to assess health systems performance in delivering primary care by measuring the care experiences and outcomes of people over 45 who used primary care services in the past six months. In addition, linked data from primary care practices are collected to analyse how the organisation of primary care practices and their care processes impact care experiences and outcomes. This article describes the development and validation of the primary care practice questionnaire for the PaRIS survey, the PaRIS-PCPQ. METHOD: The PaRIS-PCPQ was developed based on domains of primary care practice and professional characteristics included in the PaRIS conceptual framework. Questionnaire development was conducted in four phases: (1) a multi-step consensus-based development of the source questionnaire, (2) translation of the English source questionnaire into 17 languages, (3) cross-national cognitive testing with primary care professionals in participating countries, and (4) cross-national field-testing. RESULTS: 70 items were selected from 7 existing questionnaires on primary care characteristics, of which 49 were included in a first draft. Feedback from stakeholders resulted in a modified 34-item version (practice profile, care coordination, chronic care management, patient follow-up, and respondent characteristics) designed to be completed online by medical or non-medical staff working in a primary care practice. Cognitive testing led to changes in the source questionnaire as well as to country specific localisations. The resulting 32-item questionnaire was piloted in an online survey and field test. Data from 540 primary care practices from 17 countries were collected and analysed. Final revision resulted in a 34-item questionnaire. CONCLUSIONS: The cross-national development of a primary care practice questionnaire is challenging due to the differences in care delivery systems. Rigorous translation and cognitive testing as well as stakeholder engagement helped to overcome most challenges. The PaRIS-PCPQ will be used to assess how key characteristics of primary care practices relate to the care experiences and outcomes of people living with chronic conditions. As such, policymakers and care providers will be informed about the performance of primary care from the patient's perspective.

Harnessing ChatGPT for Thematic Analysis: Are We Ready?

ChatGPT (OpenAI) is an advanced natural language processing tool with growing applications across various disciplines in medical research. Thematic analysis, a qualitative research method to identify and interpret patterns in data, is one application that stands to benefit from this technology. This viewpoint explores the use of ChatGPT in three core phases of thematic analysis within a medical context: (1) direct coding of transcripts, (2) generating themes from a predefined list of codes, and (3) preprocessing quotes for manuscript inclusion. Additionally, we explore the potential of ChatGPT to generate interview transcripts, which may be used for training purposes. We assess the strengths and limitations of using ChatGPT in these roles, highlighting areas where human intervention remains necessary. Overall, we argue that ChatGPT can function as a valuable tool during analysis, enhancing the efficiency of the thematic analysis and offering additional insights into the qualitative data. While ChatGPT may not adequately capture the full context of each participant, it can serve as an additional member of the analysis team, contributing to researcher triangulation through knowledge building and sensemaking.

Personalised care and support planning in Singapore: qualitative interviews with people living with diabetes.

BACKGROUND: Personalised care and support planning (CSP) is a person-centred approach for the care of people living with long-term conditions. Patient Activation through Community Empowerment/Engagement for Diabetes Management (PACE-D) adapts the Year of Care Partnerships (YOCP) approach to CSP in the UK for people living with diabetes at Singapore polyclinics. Polyclinics are multi-storey primary care hubs that provide affordable, multidisciplinary, comprehensive, and high-throughput public health care for the multi-ethnic, multilingual Singapore population. AIM: To explore the experience of PACE-D-enrolled people living with diabetes with personalised CSP at Singapore polyclinics. DESIGN & SETTING: Qualitative interviews of people living with diabetes who experienced personalised CSP at National University Polyclinics (NUP) in Singapore between July 2020 and November 2021. METHOD: PACE-D-enrolled people living with diabetes who experienced personalised CSP were purposively sampled. In-depth semi-structured interviews were recorded, transcribed, and analysed using Braun and Clarke's reflexive thematic analysis. RESULTS: Fifty-two patients participated in the study. Four main themes were identified. Theme 1 was the importance of the care-planning letter. Patients reported that the CPL prompted reflection and patient preparation for CSP conversations. Theme 2 was the role of the programme coordinator. PACE-D programme coordinators amplified self-management by playing advocate and confidant beyond administrative duties. Theme 3 was the value of the personalised CSP conversation. CSP providers were perceived as partners in care, with more time to listen compared with usual consultations. Patient engagement was affected by language confidence. Theme 4 was agency in self-management. With adequate time and support, patients increased in confidence and agency both in CSP engagement and diabetes self-management. CONCLUSION: While language confidence may affect patient engagement, personalised CSP shows promise for strengthening patient engagement and self-management among people living with diabetes at Singapore polyclinics.

Video Interventions for Reducing Health Inequity in Cancer Screening Programmes: a Systematic Review.

BACKGROUND: Health equity can lead to disparities in cancer screening, treatment, and mortality. This systematic review aims to identify and describe interventions that used video or DVD formats to reduce health inequity in cancer screening and review the effectiveness of such interventions in increasing screening rates compared to usual care conditions. METHODS: We searched PubMed, Web of Science, Embase, and Cochrane databases for randomized control trials (RCTs) published until 18/01/2023 that compared intervention versus usual care control groups, with the percentage of cancer screening uptake during follow-up as an outcome. The risk of Bias was assessed with the Cochrane Collaboration tool. RESULTS: After screening 4201 abstracts, 192 full texts were assessed for eligibility and 18 were included that focused on colorectal (n = 9), cervical (n = 5), breast (n = 5), and prostate (n = 1) cancer screening. All were based in the USA except one and most focused on ethnicity/race, while some included low-income populations. Most of the video interventions used to increase cervical cancer screening reported positive results. Studies aimed at increasing mammography uptake were mostly effective only in specific groups of participants, such as low-income or less-educated African American women. Results for colorectal cancer screening were conflicting. Videos that were culturally tailored or used emotive format were generally more effective than information-only videos. CONCLUSIONS: Video interventions to increase cancer screening among populations with low screening uptake show some positive effects, though results are mixed. Interventions that use individual and cultural tailoring of the educational material should be further developed and investigated outside of the USA.

Prescribing Antibiotics in Public Primary Care Clinics in Singapore: A Retrospective Cohort Study.

BACKGROUND: Antibiotic prescription practices in primary care in Singapore have received little scholarly attention. In this study, we ascertained prescription prevalence and identified care gaps and predisposing factors. METHODS: A retrospective study was conducted on adults (>21 years old) at six public primary care clinics in Singapore. Prescriptions >14 days were excluded. Descriptive statistics were used to showcase the prevalence data. We used chi-square and logistic regression analyses to identify the factors affecting care gaps. RESULTS: A total of 141,944 (4.33%) oral and 108,357 (3.31%) topical antibiotics were prescribed for 3,278,562 visits from 2018 to 2021. There was a significant reduction in prescriptions (p < 0.01) before and after the pandemic, which was attributed to the 84% reduction in prescriptions for respiratory conditions. In 2020 to 2021, oral antibiotics were most prescribed for skin (37.7%), genitourinary (20.2%), and respiratory conditions (10.8%). Antibiotic use in the "Access" group (WHO AWaRe classification) improved from 85.6% (2018) to 92.1% (2021). Areas of improvement included a lack of documentation of reasons for antibiotic use, as well as inappropriate antibiotic prescription for skin conditions. CONCLUSION: There was a marked reduction in antibiotic prescriptions associated with the onset of the COVID-19 pandemic. Further studies could address the gaps identified here and evaluate private-sector primary care to inform antibiotic guidelines and the local development of stewardship programs.

Negative representations of night-shift work and mental health of public hospital healthcare workers in the COVID-19 era (Aladdin survey).

BACKGROUND: Many risk factors impact the health of hospital night workers, which can lead to physical and mental health disorders. During the recent period, night hospital workers have been particularly stressed. This study therefore aims to: (i) To document the prevalence of depression, anxiety, sleep disorders, and symptoms suggestive of post-traumatic stress disorder in night shift workers (NSHW) working in Parisian public hospitals after France's first COVID-19 wave ended; (ii) To estimate the effect of negative representations and perceptions of night shift work on these mental health outcomes. METHODS: An observational cross-sectional online survey of NSHW (June to September 2020) in 39 public hospitals in Paris, France. Standard scales were used to measure mental health outcomes. Weighted multinomial logistic regression models supported the identification of predictors of depression (score > 10 on the Hospital Anxiety and Depression Scale, HADS, for depression), anxiety (score > 10 on the HADS for anxiety), severe insomnia (score > 21 on the Insomnia Severity Index, ISI) and symptoms suggestive of post-traumatic stress disorder (score > 36 on the Impact of Event Scale-Revised, IES-R). RESULTS: The weighted prevalence rates [95% confidence interval] of depression, anxiety, severe insomnia, and symptoms of post-traumatic stress disorder were, respectively, 18.9% [16.5-21.2], 7.6% [6.0-9.1], 8.6% [6.9-10.2] and 11.7% [9.7-13.6]. After multiple adjustment, organizational changes in NSHW professional lives due to the COVID-19 pandemic (such as moving to another hospital department and modified schedules) and NSHW-perceived negative representations of night work were significantly associated with all studied mental health outcomes. CONCLUSION: Our findings confirm the importance of monitoring mental health and sleep quality among NSHW in Parisian public hospitals, even more during health crises. Multilevel interventions aiming at reducing negative representations and improving work organization are urgently needed to improve overall health of this frontline healthcare providers group.

Use of failure-to-rescue after emergency surgery as a dynamic indicator of hospital resilience during the COVID-19 pandemic. A multicenter retrospective propensity score-matched cohort study.

BACKGROUND: Surgical failure-to-rescue (FTR, death rate following complications) is a reliable cross-sectional quality of care marker, but has not been evaluated dynamically. We aimed to study changes in FTR following emergency surgery during the COVID-19 pandemic. MATERIAL AND METHODS: Matched cohort study including all COVID-19-non-infected adult patients undergoing emergency general surgery in 25 Spanish hospitals during COVID-19 pandemic peak (March-April 2020), non-peak (May-June 2020), and 2019 control periods. A propensity score-matched comparative analysis was conducted using a logistic regression model, in which period was regressed on observed baseline characteristics. Subsequently, a mixed effects logistic regression model was constructed for each variable of interest. Main variable was FTR. Secondary variables were post-operative complications, readmissions, reinterventions, and length of stay. RESULTS: 5003 patients were included (948, 1108, and 2947 in the pandemic peak, non-peak, and control periods), with comparable clinical characteristics, prognostic scores, complications, reintervention, rehospitalization rates, and length of stay across periods. FTR was greater during the pandemic peak than during non-peak and pre-pandemic periods (22.5% vs. 17.2% and 12.7%), being this difference confirmed in adjusted analysis (odds ratio [OR] 2.13, 95% confidence interval [95% CI] 1.27-3.66). There was sensible inter-hospital variability in FTR changes during the pandemic peak (median FTR change +8.77%, IQR 0-29.17%) not observed during the pandemic non-peak period (median FTR change 0%, IQR -6.01-6.72%). Greater FTR increase was associated with higher COVID-19 incidence (OR 2.31, 95% CI 1.31-4.16) and some hospital characteristics, including tertiary level (OR 3.07, 95% CI 1.27-8.00), medium-volume (OR 2.79, 95% CI 1.14-7.34), and high basal-adjusted complication risk (OR 2.21, 95% CI 1.07-4.72). CONCLUSION: FTR following emergency surgery experienced a heterogeneous increase during different periods of the COVID-19 pandemic, suggesting it to behave as an indicator of hospital resilience. FTR monitoring could facilitate identification of centres in special needs during ongoing health care challenges.

Assessing the outcomes and experiences of care from the perspective of people living with chronic conditions, to support countries in developing people-centred policies and practices: study protocol of the International Survey of People Living with Chronic Conditions (PaRIS survey).

INTRODUCTION: In view of growing populations with chronic conditions, many countries are redesigning their health systems. However, little information is available about how health systems perform from the perspective of people living with chronic conditions. The Organisation for Economic Co-operation and Development (OECD) Member States therefore mandated the OECD to initiate the International Survey of People Living with Chronic Conditions (PaRIS survey), which aims to provide insight in outcomes and experiences of care as reported by people living with chronic conditions. The PaRIS-SUR consortium has been tasked by the OECD to support the development and implementation of the survey. METHODS AND ANALYSIS: As primary care services play a pivotal role in the management of chronic conditions, the PaRIS survey will be implemented in the primary care setting. Data will be collected with a survey among users of primary care services aged 45 years or older, of whom many have chronic conditions. An additional survey is conducted among their primary care providers. The nested study design will allow analysis of the patient-reported data in relation to characteristics of and care provided by primary care providers within and across countries. In 2022, the survey will be tested in a Field Trial in participating countries. Data for cross-country comparison will be collected by the Main Survey in 2023. ETHICS AND DISSEMINATION: Informed consent will be obtained from primary care providers and service users. National Project Managers search ethical approval of the survey in their country, if required. Reporting by the OECD will focus on questions for international comparison. A secured information technology platform will be developed for participants and stakeholders in countries to receive feedback and answer their own questions. Findings will also be disseminated through an international OECD flagship report, conferences, scientific papers and policy briefs, to inform strategies to improve care for people living with chronic conditions throughout the world.

Use of computerised adaptive testing to reduce the number of items in patient-reported hip and knee outcome scores: an analysis of the NHS England National Patient-Reported Outcome Measures programme.

OBJECTIVE: Over 160 000 participants per year complete the 12-item Oxford Hip and Knee Scores (OHS/OKS) as part of the NHS England Patient-Reported Outcome Measures (PROMs) programme. We used a modern computational approach, known as computerised adaptive testing (CAT), to simulate individually tailored OHS and OKS assessment, with the goal of reducing the number of questions a patient must complete without compromising measurement accuracy. METHODS: We fit the 2018/2019 PROMs data to an item response theory (IRT) model. We assessed IRT model assumptions alongside reliability. We used parameters from the IRT model with data from 2017/2018 to simulate CAT assessments. Two simulations were run until a prespecified SE of measurement was met (SE=0.32 and SE=0.45). We compared the number of questions required to meet each cut-off and assessed the correlation between the full-length and CAT administration. RESULTS: We conducted IRT analysis using 40 432 OHS and 44 714 OKS observations. The OHS and OKS were both unidimensional (root mean square error of approximation 0.08 and 0.07, respectively) and marginal reliability 0.91 and 0.90. The CAT, with a precision limit of SE=0.32 and SE=0.45, required a median of four items (IQR 1) and two items (IQR 1), respectively, for the OHS, and median of four items (IQR 2) and two items (IQR 0) for the OKS. This represents a potential 82% reduction in PROM length. In the context of 160 000 yearly assessments, these methodologies could result in the omission of some 1 280 000 redundant questions per year, which equates to 40 000 hours of patient time. CONCLUSION: The application of IRT to the OHS and OKS produces an efficient and substantially reduced CAT. We have demonstrated a path to reduce the burden and potentially increase the compliance for these ubiquitous outcome measures without compromising measurement accuracy.

What matters most in acute care: an interview study with older people living with frailty.

BACKGROUND: Healthcare outcome goals are central to person-centred acute care, however evidence among older people is scarce. Older people who are living with frailty have distinct requirements for healthcare delivery and have distinct risk for adverse outcomes from healthcare. There is insufficient evidence for whether those living with frailty also have distinct healthcare outcome goals. This study explored the nature of acute care outcome goals in people living with frailty. METHODS: Healthcare outcome goals were explored using semi-structured patient interviews. Participants aged over 65 with Clinical Frailty Score 5-8 (mild to very severe frailty) were recruited during their first 72 hours in a UK hospital. Purposive, maximum variation sampling was guided by lay partners from a Patient and Public Involvement Forum specialising in ageing-related research. Qualitative analysis used a blended approach based on framework and constant comparative methodologies for the identification of themes. Findings were validated through triangulation with participant, lay partner, and technical expert review. RESULTS: The 22 participants were aged 71 to 98 and had mild to very severe frailty. One quarter were living with dementia. Most participants had reflected on their situation and considered their outcome goals. Theme categories (and corresponding sub-categories) were 'Autonomy' (information, control, and security) and 'Functioning' (physical, psychosocial, and relief). A novel 'security' theme was identified, whereby participants sought to feel safe in their usual living place and with their health problems. Those living with milder frailty were concerned to maintain ability to support loved ones, while those living with most severe frailty were concerned about burdening others. CONCLUSIONS: Outcome goals for acute care among older participants living with frailty were influenced by the insecurity of their situation and fear of deterioration. Patients may be supported to feel safe and in control through appropriate information provision and functional support.

Does pre-existing morbidity influences risks and benefits of total hip replacement for osteoarthritis: a prospective study of 6682 patients from linked national datasets in England.

Total hip arthroplasty (THA) surgery for elderly people with multimorbidity increases the risk of serious health hazards including mortality. Whether such background morbidity reduces the clinical benefit is less clear. OBJECTIVE: To evaluate how pre-existing health status, using multiple approaches, influences risks of, and quality of life benefits from, THA. SETTING: Longitudinal record linkage study of a UK sample linking their primary care to their secondary care records. PARTICIPANTS: A total of 6682 patients were included, based on the recording of the diagnosis of hip osteoarthritis in a national primary care register and the recording of the receipt of THA in a national secondary care register.Data were extracted from the primary care register on background health and morbidity status using five different constructs: Charlson Comorbidity Index, Electronic Frailty Index (eFI) and counts of comorbidity disorders (from list of 17), prescribed medications and number of primary care visits prior to recording of THA. OUTCOME MEASURES: (1) Postoperative complications and mortality; (2) postoperative hip pain and function using the Oxford Hip Score (OHS) and health-related quality of life using the EuroQoL (EQ)-5D score. RESULTS: Perioperative complication rate was 3.2% and mortality was 0.9%, both increased with worse preoperative health status although this relationship varied depending on the morbidity construct: the eFI showing the strongest relationship but number of visits having no predictive value. By contrast, the benefits were not reduced in those with worse preoperative health, and improvement in both OHS and EQ-5D was observed in all the morbidity categories. CONCLUSIONS: Independent of preoperative morbidity, THA leads to similar substantial improvements in quality of life. These are offset by an increase in medical complications in some subgroups of patients with high morbidity, depending on the definition used. For most elderly people, their other health disorders should not be a barrier for THA.

Influence of pre-existing multimorbidity on receiving a hip arthroplasty: cohort study of 28 025 elderly subjects from UK primary care.

The median age for total hip arthroplasty (THA) is over 70 years with the corollary that many individuals have multiple multimorbidities. Despite the predicted improvement in quality of life, THA might be denied even to those with low levels of multimorbidity. OBJECTIVE: To evaluate how pre-existing levels of multimorbidity influence the likelihood and timing of THA. SETTING: Longitudinal record linkage study of a UK sample linking their primary care to their secondary care records. PARTICIPANTS: A total of 28 025 patients were included, based on the recording of the diagnosis of hip osteoarthritis in a national primary care register, Clinical Practice Research Datalink. Data were extracted from the database on background health and morbidity status using five different constructs: Charlson Comorbidity Index, Electronic Frailty Index and counts of chronic diseases (from list of 17), prescribed medications and number of primary care visits prior to recording of osteoarthritis. OUTCOME MEASURES: The record of having received a THA as recorded in the primary care record and the linked secondary care database: Hospital Episode Statistics. RESULTS: 40% had THA: median follow 10 months (range 1-17 years). Increased multimorbidity was associated with a decreased likelihood of undergoing THA, irrespective of the method of assessing multimorbidity although the impact varied by approach. CONCLUSION: Markers of pre-existing ill health influence the decision for THA in the elderly with end-stage hip osteoarthritis, although these effects are modest for indices of multimorbidity other than eFI. There is evidence of this influence being present even in people with moderate decrements in their health, despite the balance of benefits to risk in these individuals being positive.

Identifying Factors Leading to Harm in English General Practices: A Mixed-Methods Study Based on Patient Experiences Integrating Structural Equation Modeling and Qualitative Content Analysis.

OBJECTIVE: The aim of the study was to identify the main factors leading to harm in primary care based on the experiences reported by patients. METHODS: We conducted a mixed-methods, cross-sectional study in 45 primary care centers in England. A random sample of 6736 patients was invited to complete the Patient-Reported Experiences and Outcomes of Safety in Primary Care questionnaire. We fitted structural equation modeling on the quantitative data (n = 1244 respondents) to identify contributory factors and primary incidents leading to harm. We conducted content analyses of responses to seven open-ended questions (n = 386) to obtain deeper insight into patient perceptions of the causes of harm experienced. Results from quantitative and qualitative analyses were triangulated. RESULTS: Patients reported harm related to physical health (13%), pain (11%), and mental health (19%) and harm that increased limitations in social activities (14%). Physical harm was associated with incidents affecting diagnosis (ß = 0.43; delayed and wrong), and treatment (0.12; delayed, wrong treatment, or dose), which were in turn associated with incidents with patient-provider communication, coordination between providers, appointments, and laboratory tests. Pain was associated with laboratory tests (0.21; caused when collecting blood or tissue samples) and with problems booking an appointment when needed (0.13; delaying treatment for pain). Harm to mental health was associated with incidents related to the following: diagnosis (0.28), patient-provider communication (0.18), appointments (0.17), coordination between different providers (0.14), and laboratory tests (0.12). Harm increasing limitations in social activities was associated with incidents related to diagnosis (0.42) and diagnostic and monitoring procedures (0.20). CONCLUSIONS: Our findings suggest the need for patient-centered strategies to reduce harm in primary care focusing on the improvement of the quality of diagnosis and patient-provider communication.

Relationship of problematic cannabis use among youth in Spain with perceived risk, environmental factors and sociodemographic factors. / Relación del consumo problemático de cannabis en la población joven de España con el riesgo percibido, los factores ambientales y los factores sociodemográficos.

The relationship of problematic cannabis consumption with perceived risk, socioenvironmental and sociodemographic factors among youth in Spain is not well known. The aims of this study are: 1) to describe the patterns of cannabis consumption (problematic and non-problematic) in Spanish youth, and 2) to explore whether problematic cannabis consumption is related to perceived risk, environmental factors and individual sociodemographic characteristics. A cross-sectional design based on data from the 2015/16 Spanish Household Survey on Alcohol and Drugs (EDADES) was performed. Individuals between 15 and 35 years old having used cannabis during the last year with a complete Cannabis Abuse Screening Test (CAST) were included (N = 1,674). Problematic consumption (CAST >= 7) was considered as dependent variable. Perceived risk, environmental factors (availability of the substance and exposure to consumption situations) and sociodemographic factors were taken as independent variables. Descriptive analyses of consumption patterns were performed and univariable and multivariable Poisson regression models were done. All analyses were stratified by gender. Problematic cannabis consumption was more frequent among men (38.9 %) than among women (23.2 %). While among men, problematic use was related to environmental factors and educational level, among women it was associated with perceived risk and unemployment. Problematic cannabis consumption among Spanish youth is associated with different types of gender-related factors. Due to its representativeness at the population level and the validity of the measures, these results might have important implications on the development of prevention strategies targeted at problematic cannabis consumption.

La relación entre el consumo problemático de cannabis, el riesgo percibido y los factores socioambientales y sociodemográficos no es clara actualmente. Los objetivos del estudio son: describir los patrones de consumo de cannabis (problemático y no problemático) en la población joven de España y explorar como el consumo problemático se relaciona con el riesgo percibido, y los factores ambientales y sociodemográficos. Se llevó a cabo un diseño transversal basado en datos de la edición de 2015/2016 de la Encuesta Domiciliaria sobre Alcohol y Drogas (EDADES). La encuesta incluyó participantes de entre 15 y 35 años que habían consumido cannabis en al menos una ocasión durante el último año y que completaron el Cannabis Abuse Screening Test (CAST) (N = 1674). Se consideró el consumo problemático (CAST >= 7) como variable dependiente. Como variables independientes se consideraron el riesgo percibido, los factores ambientales (disponibilidad de la sustancia y exposición a situaciones de consumo) y los factores sociodemográficos. Se llevaron a cabo análisis descriptivos de los patrones de consumo y se realizaron modelos univariables y multivariables de Poisson. Todos los análisis se estratificaron por género. El consumo problemático fue más frecuente en hombres (38,9 %) que en mujeres (23,2 %). Mientras en hombres el consumo problemático se relacionó con factores ambientales y nivel educativo, en mujeres se asoció con riesgo percibido y desempleo. Dada la representatividad de los datos y la validez de las medidas, estos resultados podrían tener importantes implicaciones para el desarrollo de medidas preventivas contra el consumo problemático de cannabis.

Relación del consumo problemático de cannabis en la población joven de España con el riesgo percibido, los factores ambientales y los factores sociodemográficos / Relationship of problematic cannabis use among youth in Spain with perceived risk, environmental factors and sociodemographic factors

La relación entre el consumo problemático de cannabis, el riesgo percibido y los factores socioambientales y sociodemográficos no es clara actualmente. Los objetivos del estudio son: describir los patrones de consumo de cannabis (problemático y no problemático) en la población joven de España y explorar como el consumo problemático se relaciona con el riesgo percibido, y los factores ambientales y sociodemográficos. Se llevó a cabo un diseño transversal basado en datos de la edición de 2015/2016 de la Encuesta Domiciliaria sobre Alcohol y Drogas (EDADES). La encuesta incluyó participantes de entre 15 y 35 años que habían consumido cannabis en al menos una ocasión durante el último año y que completaron el Cannabis Abuse Screening Test (CAST) (N = 1674). Se consideró el consumo problemático (CAST >= 7) como variable dependiente. Como variables independientes se consideraron el riesgo percibido, los factores ambientales (disponibilidad de la sustancia y exposición a situaciones de consumo) y los factores sociodemográficos. Se llevaron a cabo análisis descriptivos de los patrones de consumo y se realizaron modelos univariables y multivariables de Poisson. Todos los análisis se estratificaron por género. El consumo problemático fue más frecuente en hombres (38,9 %) que en mujeres (23,2 %). Mientras en hombres el consumo problemático se relacionó con factores ambientales y nivel educativo, en mujeres se asoció con riesgo percibido y desempleo. Dada la representatividad de los datos y la validez de las medidas, estos resultados podrían tener importantes implicaciones para el desarrollo de medidas preventivas contra el consumo problemático de cannabis

The relationship of problematic cannabis consumption with perceived risk, socioenvironmental and sociodemographic factors among youth in Spain is not well known. The aims of this study are: 1) to describe the patterns of cannabis consumption (problematic and non-problematic) in Spanish youth, and 2) to explore whether problematic cannabis consumption is related to perceived risk, environmental factors and individual sociodemographic characteristics. A cross-sectional design based on data from the 2015/16 Spanish Household Survey on Alcohol and Drugs (EDADES) was performed. Individuals between 15 and 35 years old having used cannabis during the last year with a complete Cannabis Abuse Screening Test (CAST) were included (N = 1,674). Problematic consumption (CAST >= 7) was considered as dependent variable. Perceived risk, environmental factors (availability of the substance and exposure to consumption situations) and sociodemographic factors were taken as independent variables. Descriptive analyses of consumption patterns were performed and univariable and multivariable Poisson regression models were done. All analyses were stratified by gender. Problematic cannabis consumption was more frequent among men (38.9 %) than among women (23.2 %). While among men, problematic use was related to environmental factors and educational level, among women it was associated with perceived risk and unemployment. Problematic cannabis consumption among Spanish youth is associated with different types of gender-related factors. Due to its representativeness at the population level and the validity of the measures, these results might have important implications on the development of prevention strategies targeted at problematic cannabis consumption

Development and internal validation of prognostic models to predict negative health outcomes in older patients with multimorbidity and polypharmacy in general practice.

BACKGROUND: Polypharmacy interventions are resource-intensive and should be targeted to those at risk of negative health outcomes. Our aim was to develop and internally validate prognostic models to predict health-related quality of life (HRQoL) and the combined outcome of falls, hospitalisation, institutionalisation and nursing care needs, in older patients with multimorbidity and polypharmacy in general practices. METHODS: Design: two independent data sets, one comprising health insurance claims data (n=592 456), the other data from the PRIoritising MUltimedication in Multimorbidity (PRIMUM) cluster randomised controlled trial (n=502). Population: ≥60 years, ≥5 drugs, ≥3 chronic diseases, excluding dementia. Outcomes: combined outcome of falls, hospitalisation, institutionalisation and nursing care needs (after 6, 9 and 24 months) (claims data); and HRQoL (after 6 and 9 months) (trial data). Predictor variables in both data sets: age, sex, morbidity-related variables (disease count), medication-related variables (European Union-Potentially Inappropriate Medication list (EU-PIM list)) and health service utilisation. Predictor variables exclusively in trial data: additional socio-demographics, morbidity-related variables (Cumulative Illness Rating Scale, depression), Medication Appropriateness Index (MAI), lifestyle, functional status and HRQoL (EuroQol EQ-5D-3L). Analysis: mixed regression models, combined with stepwise variable selection, 10-fold cross validation and sensitivity analyses. RESULTS: Most important predictors of EQ-5D-3L at 6 months in best model (Nagelkerke's R² 0.507) were depressive symptoms (-2.73 (95% CI: -3.56 to -1.91)), MAI (-0.39 (95% CI: -0.7 to -0.08)), baseline EQ-5D-3L (0.55 (95% CI: 0.47 to 0.64)). Models based on claims data and those predicting long-term outcomes based on both data sets produced low R² values. In claims data-based model with highest explanatory power (R²=0.16), previous falls/fall-related injuries, previous hospitalisations, age, number of involved physicians and disease count were most important predictor variables. CONCLUSIONS: Best trial data-based model predicted HRQoL after 6 months well and included parameters of well-being not found in claims. Performance of claims data-based models and models predicting long-term outcomes was relatively weak. For generalisability, future studies should refit models by considering parameters representing well-being and functional status.

Identifying high-need patients with multimorbidity from their illness perceptions and personal resources to manage their health and care: a longitudinal study.

BACKGROUND: A proactive person-centred care process is advocated for people with multimorbidity. To that aim, general practitioners may benefit from support in the identification of high-need patients, i.e. patients who are high or suboptimal users of health services and/or have a poor quality of life. To develop such support, we examined whether knowledge about patients' illness perceptions and personal resources to manage their health and care is useful to identify high-need patients among multimorbid general practice populations. METHODS: Survey data, collected in 2016 and 2017, of 601 patients with two or more chronic diseases (e.g. COPD, diabetes, Parkinson's disease) registered with 40 general practices in the Netherlands were analysed by logistic regression analysis to predict frequent contact with the general practice, contact with general practice out-of-office services, unplanned hospitalisations and poor health related quality of life. Patients' illness perceptions and personal resources (education, health literacy, mastery, mental health status, financial resources, social support) were included as predictors. RESULTS: The four outcomes were only weakly associated among themselves (Phi .07-.19). Patients' illness perceptions and personal resources were of limited value to predict potentially suboptimal health service use, but they were important predictors of health related quality of life. Patients with a poor health related quality of life could be identified by their previously reported illness perceptions (attributing many symptoms to their chronic conditions (B = 1.479, P < .001), a high level of concern (B = 0.844, P = .002) and little perceived control over their illness (B = -0.728, P = .006)) combined with an experienced lack of social support (B = -0.527, P = .042) and a poor mental health status (B = -0.966, P = .001) (sensitivity 80.7%; specificity 68.1%). CONCLUSIONS: Multimorbid patients who frequently contact the general practice, use general practice out-of-office services, have unplanned hospitalisations or a poor health related quality of life are largely distinct high-need subgroups. Multimorbid patients at risk of developing a poor quality of life can be identified from specific illness beliefs, a poor mental health status and unmet social needs.