Impact of data source choice on multimorbidity measurement: a comparison study of 2.3 million individuals in the Welsh National Health Service.

BACKGROUND: Measurement of multimorbidity in research is variable, including the choice of the data source used to ascertain conditions. We compared the estimated prevalence of multimorbidity and associations with mortality using different data sources. METHODS: A cross-sectional study of SAIL Databank data including 2,340,027 individuals of all ages living in Wales on 01 January 2019. Comparison of prevalence of multimorbidity and constituent 47 conditions using data from primary care (PC), hospital inpatient (HI), and linked PC-HI data sources and examination of associations between condition count and 12-month mortality. RESULTS: Using linked PC-HI compared with only HI data, multimorbidity was more prevalent (32.2% versus 16.5%), and the population of people identified as having multimorbidity was younger (mean age 62.5 versus 66.8 years) and included more women (54.2% versus 52.6%). Individuals with multimorbidity in both PC and HI data had stronger associations with mortality than those with multimorbidity only in HI data (adjusted odds ratio 8.34 [95% CI 8.02-8.68] versus 6.95 (95%CI 6.79-7.12] in people with ≥ 4 conditions). The prevalence of conditions identified using only PC versus only HI data was significantly higher for 37/47 and significantly lower for 10/47: the highest PC/HI ratio was for depression (14.2 [95% CI 14.1-14.4]) and the lowest for aneurysm (0.51 [95% CI 0.5-0.5]). Agreement in ascertainment of conditions between the two data sources varied considerably, being slight for five (kappa < 0.20), fair for 12 (kappa 0.21-0.40), moderate for 16 (kappa 0.41-0.60), and substantial for 12 (kappa 0.61-0.80) conditions, and by body system was lowest for mental and behavioural disorders. The percentage agreement, individuals with a condition identified in both PC and HI data, was lowest in anxiety (4.6%) and highest in coronary artery disease (62.9%). CONCLUSIONS: The use of single data sources may underestimate prevalence when measuring multimorbidity and many important conditions (especially mental and behavioural disorders). Caution should be used when interpreting findings of research examining individual and multiple long-term conditions using single data sources. Where available, researchers using electronic health data should link primary care and hospital inpatient data to generate more robust evidence to support evidence-based healthcare planning decisions for people with multimorbidity.

Management of diabetes patients with comorbidity in primary care: a mixed-method study in Odisha, India.

BACKGROUND: Diabetes patients with comorbidities need regular and comprehensive care for their disease management. Hence, it is essential to assess the primary care preparedness for managing diabetes patients and the perspectives of the diabetes patients on the care received at the primary care facilities. METHODS: All 21 Urban Primary Health Centres (UPHCs) in Bhubaneswar city of Odisha, India, were assessed using the modified Primary Care Evaluation Tool and WHO Package of Essential Non-communicable disease interventions questionnaire. Additionally, 21 diabetes patients with comorbidities were interviewed in-depth to explore their perception of the care received at the primary care facilities. RESULTS: All the UPHCs had provisions to meet the basic requirements for the management of diabetes and common comorbidities like hypertension. There were few provisions for chronic kidney illness, cardiovascular disease, mental health, and cancer. Diabetes patients felt that frequent change in primary care physicians at the primary care facilities affected their continuity of care. Easy accessibility, availability of free medicines, and provisions of basic laboratory tests at the facilities were felt to be necessary by the diabetes patients. CONCLUSION: Our study highlights the existing gaps in India's healthcare system preparedness and the needs of diabetes patients with comorbidity. The government of India's Health and Wellness (HWC) scheme aims to deliver comprehensive healthcare to the population and provide holistic care at the primary care level for NCD patients. It is imperative that there is an early implementation of the various components of the HWC scheme to provide optimal care to diabetes patients.

Impact of comorbidities on physical function and survival of middle-aged, as compared to older, individuals with cancer.

PURPOSE: To investigate if comorbidity predicts mortality and functional impairment in middle-aged individuals with cancer (50-64 years) as compared to older individuals. METHODS: A prospective cohort study. Outcomes were mortality and functional impairment at 5 years follow-up. Comorbidity was assessed using adjusted Charlson comorbidity index and polypharmacy (≥ 5 drugs) as surrogate for comorbidity. Multivariate Cox-proportional hazards and binary logit models were used to assess the risk of 5-year mortality and functional impairment respectively. RESULTS: We included 477 middle-aged (50-64 years) and 563 older (65 + years) individuals with cancer. The prevalence of comorbidity (at least one disease in addition to cancer) was 29% for middle-aged and 45% for older individuals, with polypharmacy observed in 15% and 31% respectively. Presence of ≥ 3 comorbidities was associated with nearly three times as high a risk of mortality in middle-aged individuals (HR 2.97, 95% CI: 1.43-6.16). In older individuals, the HR was 1.7 (95% CI 1.1-2.8). Polypharmacy was associated with a higher risk of mortality in middle-aged (HR 2.35, 95% CI 1.32-4.16) but not in older individuals (HR 1.2, 95% CI 0.9-1.8). Polypharmacy was associated with the four time the risk of functional impairment in middle-aged (OR 4.0, 95% CI 1.59-10.06) and older individuals (OR 4.4, 95% CI 1.6-11.7). CONCLUSION: This study of middle-aged and older adults with cancer shows that comorbid disease is common in younger and older individuals with cancer and are associated with inferior outcomes. Assessment and management of comorbidity should be a priority for cancer care across all age groups.

Care practices of specialized outpatient pediatric palliative care teams in collaboration with parents: Results of participatory observations.

BACKGROUND: Collaboration between parents and professional care providers is an essential part of pediatric palliative care. As children are embedded in family systems and many of the patients are not able to communicate verbally, their parents are the primary interaction partners for palliative care providers. International standards for pediatric palliative care in Europe state that parents should be supported, acknowledged as the primary carers and involved as partners in all care and decisions. AIM: To find out through which care practices pediatric palliative care teams shape collaboration with parents in everyday care. DESIGN: Ethnographic method of participatory observations. Field notes were analyzed using thematic analysis. SETTING/PARTICIPANTS: Researchers accompanied three pediatric palliative care teams on home visits to eight different families caring for a child with life-limiting conditions. RESULTS: Care practices of palliative care teams were characterized by familiarity, a resource-oriented attitude, empowerment of parents, shared decision-making and support for parents. Palliative care teams not only provided palliative medical treatment for the children, but also developed a trusting care partnership with parents. The teams employed a sensitive and multifaceted communication style in their collaboration with parents. CONCLUSIONS: Care practices in pediatric palliative care require time, communication skills, and a high level of psychosocial competence, to develop a trusting, collaborative relationship with parents. This should be taken into consideration when establishing pediatric palliative care structures, preparing guidelines, training staff, and deciding upon appropriate remuneration.

Control in the Hospital by Extensive Clinical rules for Unplanned hospitalizations in older Patients (CHECkUP); study design of a multicentre randomized study.

BACKGROUND: Due to ageing of the population the incidence of multimorbidity and polypharmacy is rising. Polypharmacy is a risk factor for medication-related (re)admission and therefore places a significant burden on the healthcare system. The reported incidence of medication-related (re)admissions varies widely due to the lack of a clear definition. Some medications are known to increase the risk for medication-related admission and are therefore published in the triggerlist of the Dutch guideline for Polypharmacy in older patients. Different interventions to support medication optimization have been studied to reduce medication-related (re)admissions. However, the optimal template of medication optimization is still unknown, which contributes to the large heterogeneity of their effect on hospital readmissions. Therefore, we implemented a clinical decision support system (CDSS) to optimize medication lists and investigate whether continuous use of a CDSS reduces the number of hospital readmissions in older patients, who previously have had an unplanned probably medication-related hospitalization. METHODS: The CHECkUP study is a multicentre randomized study in older (≥60 years) patients with an unplanned hospitalization, polypharmacy (≥5 medications) and using at least two medications from the triggerlist, from Zuyderland Medical Centre and Maastricht University Medical Centre+ in the Netherlands. Patients will be randomized. The intervention consists of continuous (weekly) use of a CDSS, which generates a Medication Optimization Profile, which will be sent to the patient's general practitioner and pharmacist. The control group will receive standard care. The primary outcome is hospital readmission within 1 year after study inclusion. Secondary outcomes are one-year mortality, number of emergency department visits, nursing home admissions, time to hospital readmissions and we will evaluate the quality of life and socio-economic status. DISCUSSION: This study is expected to add evidence on the knowledge of medication optimization and whether use of a continuous CDSS ameliorates the risk of adverse outcomes in older patients, already at an increased risk of medication-related (re)admission. To our knowledge, this is the first large study, providing one-year follow-up data and reporting not only on quality of care indicators, but also on quality-of-life. TRIAL REGISTRATION: The trial was registered in the Netherlands Trial Register on October 14, 2018, identifier: NL7449 (NTR7691). https://www.trialregister.nl/trial/7449 .

Psychosocial Well-Being of Older Spouses During End-of-Life Caregiving for Their Partners With Cancer: A Phenomenological Study.

Specific burdens of older spousal caregivers often remain invisible, and spousal caregivers rarely receive the support they need to perform their role. To provide suitable support for spousal caregivers, it is crucial to develop a comprehensive understanding of their well-being, particularly during end-of-life caregiving. The aim of the current study was to gain more insight into the psychosocial well-being of older spouses engaged in end-of-life caregiving for their partners with cancer. This qualitative study uses a phenomenological approach with in-depth interviews conducted with older (aged ≥65 years) spousal caregivers of individuals who died of cancer. Eleven spouses participated in the study. Strains on psychosocial well-being during end-of-life caregiving fell into four major themes: The Disease Itself, The Caregiving Process, The Partner Relationship, and Support From Others. Results suggest that older spousal caregivers are experiencing issues that might be more pronounced due to their older age, for example, physical and emotional exhaustion and loneliness. Providing care is time-consuming and often leads to a reduced social network, which enhances loneliness. Moreover, as relationships with ailing partners changed and communication deteriorated, participants reported feeling more like a caregiver rather than a partner. [Journal of Gerontological Nursing, 48(6), 33-39.].

Psychosocial care for cancer survivors: A systematic literature review on the role of general practitioners.

OBJECTIVE: To explore the general practitioners (GP's) role in providing psychosocial care for cancer survivors through a systematic literature review. METHODS: We searched MEDLINE, EMBASE, PsycINFO, and CINAHL and included the studies that complied with the predefined inclusion and exclusion criteria. At least two independent reviewers performed the quality appraisal and data extraction. RESULTS: We included 33 (five qualitative, 19 observational, and nine intervention) studies; the majority of these studies focused on care for depression and anxiety (21/33). Cancer survivors were more likely to contact their GP for psychosocial problems compared with noncancer controls. Survivors were more likely to use antidepressants compared with controls, although 71% of survivors preferred depression treatment to be "talking therapy only." Overall, GPs and patients mostly agreed that GPs are the preferred healthcare provider to manage psychosocial problems. The major exception is a survivor's fear of recurrence-here, the oncologist was the preferred healthcare provider. Only two interventions effectively decreased depression or anxiety; these studies included patients who had a clinical indication for psychosocial care, were specifically designed for decreasing depression/anxiety, and consisted of a multidisciplinary team approach. The other interventions evaluated GP-led follow-up for cancer survivors and found that this did not impact the patients' levels of anxiety, depression, or distress neither negatively nor positively. CONCLUSIONS: Cancer survivors often prefer psychosocial care by their GP, and GPs generally consider they are well placed to provide this care. Although evidence on the effectiveness of psychosocial care by GPs is limited, an active multidisciplinary team approach seems key.

Fast and optimal algorithm for case-control matching using registry data: application on the antibiotics use of colorectal cancer patients.

BACKGROUND: In case-control studies most algorithms allow the controls to be sampled several times, which is not always optimal. If many controls are available and adjustment for several covariates is necessary, matching without replacement might increase statistical efficiency. Comparing similar units when having observational data is of utter importance, since confounding and selection bias is present. The aim was twofold, firstly to create a method that accommodates the option that a control is not resampled, and second, to display several scenarios that identify changes of Odds Ratios (ORs) while increasing the balance of the matched sample. METHODS: The algorithm was derived in an iterative way starting from the pre-processing steps to derive the data until its application in a study to investigate the risk of antibiotics on colorectal cancer in the INTEGO registry (Flanders, Belgium). Different scenarios were developed to investigate the fluctuation of ORs using the combination of exact and varying variables with or without replacement of controls. To achieve balance in the population, we introduced the Comorbidity Index (CI) variable, which is the sum of chronic diseases as a means to have comparable units for drawing valid associations. RESULTS: This algorithm is fast and optimal. We simulated data and demonstrated that the run-time of matching even with millions of patients is minimal. Optimal, since the closest controls is always captured (using the appropriate ordering and by creating some auxiliary variables), and in the scenario that a case has only one control, we assure that this control will be matched to this case, thus maximizing the cases to be used in the analysis. In total, 72 different scenarios were displayed indicating the fluctuation of ORs, and revealing patterns, especially a drop when balancing the population. CONCLUSIONS: We created an optimal and computationally efficient algorithm to derive a matched case-control sample with and without replacement of controls. The code and the functions are publicly available as an open source in an R package. Finally, we emphasize the importance of displaying several scenarios and assess the difference of ORs while using an index to balance population in observational data.

Changes in social, psychological and physical well-being in the last 5 years of life of older people with cancer: a longitudinal study.

BACKGROUND: older people with cancer are at risk of complex and fluctuating health problems, but little is known about the extent to which their well-being changes in the last years of life. OBJECTIVE: to examine changes in physical, psychological and social well-being in the last 5 years of life of older people with cancer. DESIGN: prospective cohort study. SETTING: Belgium, the Netherlands. PARTICIPANTS: people with a new primary diagnosis of breast, prostate, lung or gastrointestinal cancer, aged ≥70 years, life expectancy >6 months, were recruited from nine hospitals. We analysed data of deceased patients. METHODS: data were collected from participants around diagnosis, and after 6 months, 1, 3 and 5 years through structured questionnaires administered through interviews or as self-report. Outcomes were physical, emotional, social, role functioning (EORTC QLQ-C30), depressive symptoms (GDS-15), emotional and social loneliness (Loneliness Scale). We conducted linear mixed model analyses. RESULTS: analysing 225 assessments from 107 deceased participants (assessments took place between 1,813 and 5 days before death), mean age at baseline 77 years (standard deviation: 5.2), we found statistically significant deterioration in physical functioning (b = 0,016 [95%confidence interval 0.009-0.023]), depressive symptoms (b = -0,001 [-0.002 to 0.000]) and role functioning (b = 0.014 [0.004-0.024]). Changes over time in emotional and social functioning and in social and emotional loneliness were smaller and statistically non-significant. CONCLUSIONS: care towards the end of life for older people with cancer needs to put their social and psychological well-being at the centre, alongside physical needs. Future research should focus on understanding inter-individual variation in trajectories.

Polypharmacy and excessive polypharmacy in community-dwelling middle aged and aged adults between 2011 and 2015.

AIMS: We aimed to assess the prevalence, components and evolution of polypharmacy and to evaluate risk factors associated with polypharmacy. METHODS: A retrospective dynamic cohort study was performed, using a primary healthcare database comprising Flemish community-dwelling adults aged ≥40 years between 2011 and 2015. Polypharmacy and excessive polypharmacy were defined as the use of 5-9 or minimum 10 different medications during 1 year, respectively. Temporal changes were analysed using an autoregressive error model. Risk factors for polypharmacy were evaluated using logistic regression. RESULTS: In total, 68 426 patients were included in the analysis. The prevalence of polypharmacy was 29.5% and 16.1% for excessive polypharmacy in 2015. The age-standardised prevalence rate of patients using minimum five medications increased with 1.3% per year (95% confidence interval (CI): 0.1968-2.4279). The mean number of unplanned hospital admissions was 0.07 (standard deviation (SD) 0.33) for polypharmacy patients and 0.19 (SD 0.53) for excessive polypharmacy patients. Four risk factors were found to be significantly correlated with polypharmacy: age (odds ratio (OR) 1.015; 95% CI: 1.013-1.017), female gender (OR 1.161; 95% CI: 1.108-1.216), number of chronic diseases (OR 1.126; 95% CI: 1.114-1.139) and number of general practitioner contacts (OR 1.283; 95% CI: 1.274-1.292). CONCLUSION: The prevalence of polypharmacy increased between 2011 and 2015. Polypharmacy and excessive polypharmacy patients appeared to differ based on our observations of characteristics, drug therapy and outcomes. Age, female gender, number of chronic diseases and number of general practitioner contacts were associated with polypharmacy.

Managing diabetes mellitus with comorbidities in primary healthcare facilities in urban settings: a qualitative study among physicians in Odisha, India.

AIM: To explore the perceived barriers and facilitators in the management of the patients having diabetes with comorbidities by primary care physicians. METHODS: A qualitative In-Depth Interview study was conducted among the primary care physicians at seventeen urban primary health care centres at Bhubaneswar city of Odisha, India. The digitally recorded interviews were transcribed verbatim and translated into English. The data were analysed using thematic analysis. RESULTS: Barriers related to physicians, patients and health system were identified. Physicians felt lack of necessary knowledge and skills, communication skills and overburdening due to multiple responsibilities to be major barriers to quality care. Patients' attitude and beliefs along with socio-economic status played an important role in treatment adherence and in the management of their disease conditions. Poor infrastructure, irregular medicine supply, and shortage of skilled allied health professionals were also found to be barriers to optimal care delivery, as was the lack of electronic medical records and personal treatment records. CONCLUSION: Comprehensive guidelines with on the job training for capacity building of the physicians and creation of multidisciplinary teams at primary care level for a more holistic approach towards management of diabetes with comorbidities could be the way forward to optimal delivery of care.

"I must, and I can live with that": a thematic analysis of patients' perspectives on polypharmacy and a digital decision support system for GPs.

BACKGROUND: To investigate patients' perspectives on polypharmacy and the use of a digital decision support system to assist general practitioners (GPs) in performing medication reviews. METHODS: Qualitative interviews with patients or informal caregivers recruited from participants in a cluster-randomized controlled clinical trial (cRCT). The interviews were transcribed verbatim and analyzed using thematic analysis. RESULTS: We conducted 13 interviews and identified the following seven themes: the patients successfully integrated medication use in their everyday lives, used medication plans, had both good and bad personal experiences with their drugs, regarded their healthcare providers as the main source of medication-related information, discussed medication changes with their GPs, had trusting relationships with them, and viewed the use of digital decision support tools for medication reviews positively. No unwanted adverse effects were reported. CONCLUSIONS: Despite drug-related problems, patients appeared to cope well with their medications. They also trusted their GPs, despite acknowledging polypharmacy to be a complex field for them. The use of a digital support system was appreciated and linked to the hope that reasons for selecting specific medication regimens would become more comprehensible. Further research with a more diverse sampling might add more patient perspectives. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03430336 . Registered on February 6, 2018.

Magnitude and determinants of multimorbidity and health care utilization among patients attending public versus private primary care: a cross-sectional study from Odisha, India.

BACKGROUND: Multimorbidity in primary care is a challenge not only for developing countries but also for low and medium income countries (LMIC). Health services in LMIC countries are being provided by both public and private health care providers. However, a critical knowledge gap exists on understanding the true extent of multimorbidity in both types of primary care settings. METHODS: We undertook a study to identify multimorbidity prevalence and healthcare utilization among both public and private primary care attendees in Odisha state of India. A total of 1649 patients attending 40 primary care facilities were interviewed using a structured multimorbidity assessment questionnaire collecting information on 22 chronic diseases, medication use, number of hospitalization and number of outpatient visits. RESULT: The overall prevalence of multimorbidity was 28.3% and nearly one third of patients of public facilities and one fourth from private facilities had multimorbidity. Leading diseases among patients visiting public facilities included acid peptic diseases, arthritis and chronic back pain. No significant difference in reporting of hypertension and diabetes across the facilities was seen. Besides age, predictors of multimorbidity among patients attending public facilities were, females [AOR: 1.6; 95% CI 1.1-1.3] and non-aboriginal groups [AOR: 1.6; 95%CI 1.1-2.3] whereas, in private females [AOR: 1.6; 95%CI 1.1-2.4], better socioeconomic conditions [AOR 1.4; 95% CI 1.0-2.1] and higher educational status [primary school completed [AOR 2.6; 95%CI 1.6-4.2] and secondary schooling and above [AOR 2.0; 95%CI 1.1-3.6] with reference to no education were seen to be the determinants of multimorbidity. Increased number of hospital visits to public facilities were higher among lower educational status patients [IRR: 1.57; 95% CI 1.13-2.18] whereas, among private patients, the mean number of hospital visits was 1.70 times more in higher educational status [IRR: 1.70; 95%CI 1.01-3.69]. The mean number of medicines taken per day was higher among patients attending private hospitals. CONCLUSION: Our findings suggest that, multimorbidity is being more reported in public primary care facilities. The pattern and health care utilization in both types of settings are different. A comprehensive care approach must be designed for private care providers.

Using Liminality and Subjunctivity to Better Understand How Patients With Cancer Experience Uncertainty Throughout Their Illness Trajectory.

Uncertainty is a central theme in the illness experiences of older cancer patients throughout their illness trajectory. Mishel's popular theory on uncertainty during illness approaches uncertainty as an outcome and is characterized by the patient's inability to find meaning in illness events. This study used the concepts of liminality and subjunctivity to explore uncertainty throughout the illness trajectory of cancer patients. We interviewed 18 older (age range = 57-92 years) patients with breast cancer or gastro-intestinal cancer 3 to 4 years post diagnosis. Our analysis is based on the QUAGOL guide that draws on elements of grounded theory such as constant comparison. We found that liminality and subjunctivity provide a useful frame for understanding uncertainty with a specific focus on its productive potential and meaning making. Health care professionals should be open to acquiring a complete picture of patients' diverse and dynamic experiences of uncertainty in the different stages of their illness trajectory.

Health related quality of life in multimorbidity: a primary-care based study from Odisha, India.

BACKGROUND: Multimorbidity, the coexistence of two or more chronic conditions is increasingly prevalent in primary care populations. Despite reports on its adverse impact on health outcomes, functioning and well-being, it's association with quality of life is not well known in low and middle income countries. We assessed the health-related quality of life (HRQoL) of primary care patients with multimorbidity and identified the influencing factors. METHODS: This cross-sectional study was done across 20 public and 20 private primary care facilities in Odisha, India. Data were collected from 1649 adult out-patients using a structured multimorbidity assessment questionnaire for primary care (MAQ-PC). HRQoL was assessed by the 12-item short-form health survey (SF-12). Both physical (PCS) and mental components scores (MCS) were calculated. Multiple regression analysis was performed to determine the association of HRQoL with socio-demographics, number, severity and typology of chronic conditions. RESULTS: Around 28.3% [95% CI: 25.9-30.7] of patients had multimorbidity. Mean physical component scope (PCS) and mental component score (MCS) of QoL in the study population was 43.56 [95% CI: 43.26-43.86] and 43.69 [95% CI: 43.22-44.16], respectively. Patients with multimorbidity reported poorer mean PCS [43.23, 95% CI: 42.62-43.84] and MCS [41.58, 95% CI: 40.74-42.43] compared to those without. After adjusting for other variables, morbidity severity burden score was found to be negatively associated with MCS [adjusted coefficient: -0.24, 95% CI - 0.41 to - 0.08], whereas no significant association was seen with PCS. Hypertension and diabetes with arthritis and acid peptic diseases were found to be negatively related with MCS. Within multimorbidity, lower education was inversely associated with mental QoL and positively associated with physical QoL score after adjusting for other variables. CONCLUSION: Our findings demonstrate the diverse negative effects of multimorbidity on HRQoL and reveal that apart from count of chronic conditions, severity and pattern also influence HRQoL negatively. Health care providers should consider severity as an outcome measure to improve QoL especially in individuals with physical multimorbidity. Given the differences observed between age groups, it is important to identify specific care needs for each group. Musculoskeletal clusters need prioritised attention while designing clinical guidelines for multimorbidity.

The influence of coping strategies on subsequent well-being in older patients with cancer: A comparison with 2 control groups.

OBJECTIVE: To evaluate dispositional coping strategies as predictors for changes in well-being after 1 year in older patients with cancer (OCP) and 2 control groups. METHODS: OCP were compared with 2 control groups: middle-aged patients with cancer (MCP) (aging effect) and older patients without cancer (ONC) (cancer effect). Patients were interviewed shortly after a cancer diagnosis and 1 year later. Dispositional coping was measured with the Short Utrecht Coping List. For well-being, we considered psychological well-being (depression, loneliness, distress) and physical health (fatigue, ADL, IADL). Logistic regression analyses were performed to study baseline coping as predictor for subsequent well-being while controlling for important baseline covariates. RESULTS: A total of 1245 patients were included in the analysis at baseline: 263 OCP, 590 ONC, and 392 MCP. Overall, active tackling was employed most often. With the exception of palliative reacting, OCP utilized each coping strategy less frequently than MCP. At 1-year follow-up, 833 patients (66.9%) were interviewed. Active coping strategies (active tackling and seeking social support) predicted subsequent well-being only in MCP. Avoidance coping strategies did not predict well-being in any of the patient groups. Palliative reacting predicted distress in OCP; depression and dependency for ADL in MCP. CONCLUSIONS: Coping strategies influence subsequent well-being in patients with cancer, but the impact is different in the age groups. Palliative reacting was the only coping strategy that predicted well-being (ie, distress) in OCP and is therefore, especially in this population, a target for coping skill interventions.

Lifestyle for Brain Health (LIBRA): a new model for dementia prevention.

OBJECTIVE: Modifiable risk factors for dementia were recently identified and compiled in a systematic review. The 'Lifestyle for Brain Health' (LIBRA) score, reflecting someone's potential for dementia prevention, was studied in a large longitudinal population-based sample with respect to predicting cognitive change over an observation period of up to 16 years. METHODS: Lifestyle for Brain Health was calculated at baseline for 949 participants aged 50-81 years from the Maastricht Ageing Study. The predictive value of LIBRA for incident dementia and cognitive impairment was examined by using Cox proportional hazard models and by testing its relation with cognitive decline. RESULTS: Lifestyle for Brain Health predicted future risk of dementia, as well as risk of cognitive impairment. A one-point increase in LIBRA score related to 19% higher risk for dementia and 9% higher risk for cognitive impairment. LIBRA predicted rate of decline in processing speed, but not memory or executive functioning. CONCLUSIONS: Lifestyle for Brain Health (LIBRA) may help in identifying and monitoring risk status in dementia-prevention programmes, by targeting modifiable, lifestyle-related risk factors. Copyright © 2017 John Wiley & Sons, Ltd.

Time trends in statin use and incidence of recurrent cardiovascular events in secondary prevention between 1999 and 2013: a registry-based study.

BACKGROUND: The current study evaluated time trends of statin use and incidence of recurrent CVD in secondary prevention from 1999 to 2013 and investigated which factors were associated with statin use in secondary prevention. METHODS: Intego is a primary care registration network with 111 general practitioners working in 48 practices in Flanders, Belgium. This retrospective registry-based study included patients aged 50 years or older with a history of CVD. The time trends of statin use and incidence of recurrent CVD in secondary prevention were determined by using a joinpoint regression analysis. Multivariable mixed-effect logistic regression analysis was used to assess factors associated with statin use in patients in secondary prevention in 2013. RESULTS: The overall prevalence of statin use increased and showed two trends: a sharp increase from 1999 to 2005 (annual percentage change (APC) 25.4%) and a weaker increase from 2005 to 2013 (APC 3.7%). The average increase in statin use was the highest in patients aged 80 and older. Patients aged 70-79 years received the most statins. Men used more statins than women did, but both genders showed similar time trends. The incidence of CVD decreased by an average APC of 3.9%. There were no differences between men and women and between different age groups. A significant decrease was only observed in older patients without statins prescribed. In 2013, 61% of the patients in secondary prevention did not receive a statin. The absence of other secondary preventive medication was strongly associated with less statin use. Gender, age and comorbidity were associated with statin use to a lesser degree. CONCLUSIONS: The prevalence of statin use in secondary prevention increased strongly from 1999 to 2013. Less than 50% of patients with a history of CVD received a statin in 2013. Especially patients who did not receive other secondary preventive medication were more likely to not receive a statin. Despite the strong increase in statin use, there was only a small decrease in the incidence of recurrent CVD, and this occurred mainly in older patients without statins prescribed.

Prevalence and predictors of psychosocial problems in informal caregivers of older cancer survivors - A systematic review: Still major gaps in current research.

Despite the abundance of studies concerning caring for patients with cancer, less is known about caring for an older cancer survivor (≥65 years). We aimed to systematically gather literature about the psychosocial well-being of caregivers of older cancer survivors and to identify possible risk factors for developing psychosocial problems. Fourteen articles met the following inclusion criteria: articles about (a) cancer, (b) informal caregivers, (c) older survivors and a (d) curative setting. After critical appraisal, nearly all were considered to be of moderate-to-strong quality. This results mainly from the specific study population, the valid and reliable measurement instruments and the appropriate statistical methods used in the articles. Main outcomes were burden, depression, anxiety, self-esteem, distress, communication issues, stress and QoL. For all these outcomes, measurement instruments and timing of measurements vary. Also, the results on studied predictors vary widely or not all of them were described in the reviewed articles. There seems to be a higher prevalence of distress, lower QoL and more anxiety in informal caregivers of older cancer survivors compared with the general population, but all were understudied. Based on these results and more focused future research, specific and qualitative support for this group of caregivers can be developed.

Estimating the prevalence of diabetes mellitus and thyroid disorders using medication data in Flanders, Belgium.

Background: Various methods exist to estimate disease prevalences. The aim of this study was to determine whether dispensed, self-reported and prescribed medication data could be used to estimate the prevalence of diabetes mellitus and thyroid disorders. Second, these pharmaco-epidemiological estimates were compared with prevalences based on self-reported diagnoses and doctor-registered diagnoses. Methods: Data on medication for diabetes and thyroid disorders were obtained from three different sources in Flanders (Belgium) for 2008: a purely administrative database containing data on dispensed medication, the Belgian National Health Interview Survey for self-reported medication and diagnoses, and a patient record database for prescribed medication and doctor-registered diagnoses. Prevalences were estimated based on medication data and compared with each other. Cross-tabulations of dispensed medication and self-reported diagnoses, and prescribed medication and doctor-registered diagnoses, were investigated. Results: Prevalences based on dispensed medication were the highest (4.39 and 2.98% for diabetes and thyroid disorders, respectively). The lowest prevalences were found using prescribed medication (2.39 and 1.72%, respectively). Cross-tabulating dispensed medication and self-reported diagnoses yielded a moderate to high sensitivity for diabetes (90.4%) and thyroid disorders (77.5%), while prescribed medication showed a low sensitivity for doctor-registered diagnoses (56.5 and 43.6%, respectively). The specificity remained above 99% in all cases. Conclusions: This study was the first to perform cross-tabulations for disease prevalence estimates between different databases and within (sub)populations. Purely administrative database was shown to be a reliable source to estimate disease prevalence based on dispensed medication. Prevalence estimates based on prescribed or self-reported medication were shown to have important limitations.