Barriers and Enablers of Healthcare Providers to Deprescribe Cardiometabolic Medication in Older Patients:A Focus Group Study

INTRODUCTION: Benefits and risks of preventive medication change over time for ageing patients and deprescribing of medication may be needed. Deprescribing of cardiovascular and antidiabetic drugs can be challenging and is not widely implemented in daily practice. OBJECTIVE: The aim of this study was to identify barriers and enablers of deprescribing cardiometabolic medication as seen by healthcare providers (HCPs) of different disciplines, and to explore their views on their specific roles in the process of deprescribing. METHODS: Three focus groups with five general practitioners, eight pharmacists, three nurse practitioners, two geriatricians, and two elder care physicians were conducted in three cities in The Netherlands. Interviews were recorded and transcribed verbatim. Directed content analysis was performed on the basis of the Theoretical Domains Framework. Two researchers independently coded the data. RESULTS: Most HCPs agreed that deprescribing of cardiometabolic medication is relevant but that barriers include lack of evidence and expertise, negative beliefs and fears, poor communication and collaboration between HCPs, and lack of resources. Having a guideline was considered an enabler for the process of deprescribing of cardiometabolic medication. Some HCPs feared the consequences of discontinuing cardiovascular or antidiabetic medication, while others were not motivated to deprescribe when the patients experienced no problems with their medication. HCPs of all disciplines stated that adequate patient communication and involving the patients and relatives in the decision making enables deprescribing. Barriers to deprescribing included the use of medication initiated by specialists, the poor exchange of information, and the amount of time it takes to deprescribe cardiometabolic medication. The HCPs were uncertain about each other's roles and responsibilities. A multidisciplinary approach including the pharmacist and nurse practitioner was seen as the best way to support the process of deprescribing and address barriers related to resources. CONCLUSION: HCPs recognized the importance of deprescribing cardiometabolic medication as a medical decision that can only be made in close cooperation with the patient. To successfully accomplish the process of deprescribing they strongly recommended a multidisciplinary approach

GPs' awareness of pregnancy:trends and association with hazardous medication use

BACKGROUND: GPs have been shown to be important providers of medical care during pregnancy, however, little evidence exists on their awareness of pregnancy when prescribing medication to women. AIM: To assess GPs' awareness of pregnancy and its association with prescribing medication with potential safety risks. DESIGN AND SETTING: Population-based study using confirmed pregnancy records linked to GP records from the PHARMO Perinatal Research Network. METHOD: GPs' awareness of pregnancy, defined as the presence of a pregnancy confirmation in the GP information system during pregnancy, was assessed from 2004 to 2020. GP prescriptions of medication with potential safety risks were selected during pregnancy and its association with GPs' awareness of pregnancy was assessed using multivariable logistic regression. RESULTS: A pregnancy confirmation was present in the GP records for 48% (n = 67 496/140 976) of selected pregnancies, increasing from 28% (n = 34/121) in 2004 to 63% in 2020 (n = 5763/9124). During 3% (n = 4489/140 976) of all pregnancies, the GP prescribed highly hazardous medication with teratogenic effects that should have been (temporarily) avoided. Pregnancy was GP confirmed for only 13% (n = 585/4489) at the first occurrence of such a prescription. Comparative analyses showed that women without a pregnancy confirmation were 59% more likely to be prescribed this highly hazardous medication (odds ratio [OR] 1.59, 95% confidence interval [CI] = 1.49 to 1.70) compared with those with a confirmed pregnancy. CONCLUSION: Results of this study indicate a potential issue with GP awareness about pregnancy status at the time medication with potential safety risks is prescribed. Although pregnancy registration by GPs improved over the years, inadequate use still seems to be made of the available information systems for appropriate drug surveillance.</p

Multifactorial intervention to reduce falls in older people at high risk of recurrent falls a randomized controlled trial

Background: Falls occur frequently in older people and strongly affect quality of life. Guidelines recommend multifactorial, targeted fall prevention. We evaluated the effectiveness of a multifactorial intervention in older persons with a high risk of recurrent falls. Methods: A randomized controlled trial was conducted from April 3, 2005, to July 21, 2008, at the geriatric outpatient clinic of a university hospital and regional general practices in the Netherlands. Of 2015 persons identified, 217 persons aged 65 years or older were selected to participate. They had a high risk of recurrent falls and no cognitive impairment and had visited the emergency department or their family physician after a fall. The geriatric assessment and intervention were aimed at reduction of fall risk factors. Primary outcome measures were time to first and second falls after randomization. Secondary outcome measures were fractures, activities of daily living, quality of life, and physical performance. Results: Within 1 year, 55 (51.9%) of the 106 intervention participants and 62 (55.9%) of the 111 usual care (control) participants fell at least once. No significant treatment effect was demonstrated for the time to first fall (hazard ratio, 0.96; 95% confidence interval, 0.67-1.37) or the time to second fall (1.13; 0.71-1.80). Similar results were obtained for secondary outcome measures and for perprotocol analysis. One intervention participant died vs 7 in the control group (hazard ratio, 0.15; 95% confidence interval, 0.02-1.21). Conclusion: This multifactorial fall-prevention program does not reduce falls in high-risk, cognitively intact older persons. Trial Registration: isrctn.org Identifier: ISRCTN11546541

A personalised screening strategy for diabetic retinopathy:a cost-effectiveness perspective

Aims/hypothesis: In this study we examined the cost-effectiveness of three different screening strategies for diabetic retinopathy: using a personalised adaptive model, annual screening (fixed intervals), and the current Dutch guideline (stratified based on previous retinopathy grade). Methods: For each individual, optimal diabetic retinopathy screening intervals were determined, using a validated risk prediction model. Observational data (1998–2017) from the Hoorn Diabetes Care System cohort of people with type 2 diabetes were used (n = 5514). The missing values of retinopathy grades were imputed using two scenarios of slow and fast sight-threatening retinopathy (STR) progression. By comparing the model-based screening intervals to observed time to develop STR, the number of delayed STR diagnoses was determined. Costs were calculated using the healthcare perspective and the societal perspective. Finally, outcomes and costs were compared for the different screening strategies. Results: For the fast STR progression scenario, personalised screening resulted in 11.6% more delayed STR diagnoses and €11.4 less costs per patient compared to annual screening from a healthcare perspective. The personalised screening model performed better in terms of timely diagnosis of STR (8.8% less delayed STR diagnosis) but it was slightly more expensive (€1.8 per patient from a healthcare perspective) than the Dutch guideline strategy. Conclusions/interpretation: The personalised diabetic retinopathy screening model is more cost-effective than the Dutch guideline screening strategy. Although the personalised screening strategy was less effective, in terms of timely diagnosis of STR patients, than annual screening, the number of delayed STR diagnoses is low and the cost saving is considerable. With around one million people with type 2 diabetes in the Netherlands, implementing this personalised model could save €11.4 million per year compared with annual screening, at the cost of 658 delayed STR diagnoses with a maximum delayed time to diagnosis of 48 months. Graphical abstract: [Figure not available: see fulltext.]

Does environment influence childhood BMI? A longitudinal analysis of children aged 3 to 11

Background: Childhood overweight/obesity has been associated with environmental context, such as green space, gardens, crime and deprivation. This paper assesses the longitudinal association between environment and body mass index (BMI) for children across the ages of 3-11 years. It also investigates the relationship between environment and child overweight/obesity Methods: 6001 Children from the UK Millennium Cohort Study living in England were analysed. We estimated fixed effects linear and logistic regression models of the association between environment (levels of green space, gardens, crime and deprivation) and BMI/overweight of children at four time points between the ages of 3 and 11. Models were adjusted for age-related changes in weight, child sex, and education level of the main carer. Results: Statistically significant associations were found between environmental measures of both more gardens and lower levels of crime and lower BMI (effect size [95% confidence interval (CI)] respectively: -0.02 [-0.04–0.00], -0.04 [-0.07– -0.02]). Areas with less crime were associated with a slightly lower odds of overweight among children with a higher educated parent (odds ratio [OR] 0,93 [0,87 – 0,99]) Conclusions: By exploiting longitudinal measures of environment and BMI this study is able to establish a more causal association between environment and BMI. Environments with more gardens and lower crime tend to result in slightly lower BMI. However, the effect sizes are small and non-significant odds of changing weight status do not support environmental factors as a key determinant of cohort changes in childhood overweight/obesity

Apolipoprotein-CIII O-Glycosylation, a Link between GALNT2 and Plasma Lipids

Apolipoprotein-CIII (apo-CIII) is involved in triglyceride-rich lipoprotein metabolism and linked to beta-cell damage, insulin resistance, and cardiovascular disease. Apo-CIII exists in four main proteoforms: non-glycosylated (apo-CIII0a), and glycosylated apo-CIII with zero, one, or two sialic acids (apo-CIII0c, apo-CIII1 and apo-CIII2). Our objective is to determine how apo-CIII glycosylation affects lipid traits and type 2 diabetes prevalence, and to investigate the genetic basis of these relations with a genome-wide association study (GWAS) on apo-CIII glycosylation. We conducted GWAS on the four apo-CIII proteoforms in the DiaGene study in people with and without type 2 diabetes (n = 2318). We investigated the relations of the identified genetic loci and apo-CIII glycosylation with lipids and type 2 diabetes. The associations of the genetic variants with lipids were replicated in the Diabetes Care System (n = 5409). Rs4846913-A, in the GALNT2-gene, was associated with decreased apo-CIII0a. This variant was associated with increased high-density lipoprotein cholesterol and decreased triglycerides, while high apo-CIII0a was associated with raised high-density lipoprotein-cholesterol and triglycerides. Rs67086575-G, located in the IFT172-gene, was associated with decreased apo-CIII2 and with hypertriglyceridemia. In line, apo-CIII2 was associated with low triglycerides. On a genome-wide scale, we confirmed that the GALNT2-gene plays a major role i O-glycosylation of apolipoprotein-CIII, with subsequent associations with lipid parameters. We newly identified the IFT172/NRBP1 region, in the literature previously associated with hypertriglyceridemia, as involved in apolipoprotein-CIII sialylation and hypertriglyceridemia. These results link genomics, glycosylation, and lipid metabolism, and represent a key step towards unravelling the importance of O-glycosylation in health and disease.</p

Does environment influence childhood BMI? A longitudinal analysis of children aged 3 to 11

Background: Childhood overweight/obesity has been associated with environmental context, such as green space, gardens, crime and deprivation. This paper assesses the longitudinal association between environment and body mass index (BMI) for children across the ages of 3-11 years. It also investigates the relationship between environment and child overweight/obesity Methods: 6001 Children from the UK Millennium Cohort Study living in England were analysed. We estimated fixed effects linear and logistic regression models of the association between environment (levels of green space, gardens, crime and deprivation) and BMI/overweight of children at four time points between the ages of 3 and 11. Models were adjusted for age-related changes in weight, child sex, and education level of the main carer. Results: Statistically significant associations were found between environmental measures of both more gardens and lower levels of crime and lower BMI (effect size [95% confidence interval (CI)] respectively: -0.02 [-0.04–0.00], -0.04 [-0.07– -0.02]). Areas with less crime were associated with a slightly lower odds of overweight among children with a higher educated parent (odds ratio [OR] 0,93 [0,87 – 0,99]) Conclusions: By exploiting longitudinal measures of environment and BMI this study is able to establish a more causal association between environment and BMI. Environments with more gardens and lower crime tend to result in slightly lower BMI. However, the effect sizes are small and non-significant odds of changing weight status do not support environmental factors as a key determinant of cohort changes in childhood overweight/obesity

The impact of greenspace and condition of the neighbourhood on child overweight

Background: Childhood overweight/obesity has been associated with environmental, parenting and socioeconomic status (SES) factors. This paper assesses the influence of the amount of green space, accessibility to a garden and neighbourhood condition on being overweight/obese. It investigates whether parental behaviours moderate or mediate this influence and evaluates the interaction of SES with environmental context. Methods: 6467 children from the UK Millennium Cohort Study living in England were analysed. We estimated logistic regressions to examine the initial association between environment and overweight. Subsequently, parenting determinants comprising: food consumption, physical activity, rules and regularity were evaluated as moderators or mediators. Lastly SES related variables were tested as moderators or mediators of the associations. Results: Statistically significant associations were found between low levels of green space, no access to a garden, run down area and childhood overweight/obesity [odds ratio (OR) [95% confidence interval (CI)] respectively: 1.14 (1.02–1.27), 1.35 (1.16–1.58), 1.22 (1.05–1.42)]. None of the parental constructs mediated or moderated the relationships between environment and childhood overweight/obesity. Including SES, parental education moderated the effect of environmental context. Specifically, among lower educated households lack of garden access and less green space was associated with overweight/obesity; and among higher educated households poor neighbourhood condition influenced the probability of overweight/obesity respectively: 1.38 (1.12–1.70) OR 1.38, 95% CI (1.21–1.70). Conclusions: This study suggests that limits on access to outdoor space are associated with future childhood overweight/obesity although the ways in which this occurs are moderated by parental education leve

Evaluation of a firm model in estimating aggregate supply response

The North Central Regional Research Project NC- 54, “Supply Response and Adjustments for Hog and Beef Cattle Production,” was started in 1961. The project statement lists these objectives: (1) To estimate farm resource use and supply response of hogs and beef cattle in representative farm situations. (2) To estimate total production of hogs and beef cattle and patterns of resource use for states in the North Central Region and for the nation. (3) To determine the production situations and the areas in which a specified output of hogs and beef cattle would or could be produced most efficiently under various projected levels of demand and prices and at a given level of technology representing that now known but not yet generally adopted. Linear-programming, time-series analysis, production function analysis and “outlook” research were used in the study. The linear-programming research was divided into two phases. Phase I involved (a) estimating the optimum organization and production for representative farms at various prices for hogs, cattle and feed grains and (b) aggregating these results to give estimates of regional production. The purpose of Phase II was to examine the effects of permitting acquisition and disposal of factors of production assumed fixed in the Phase I model. This was accomplished by including purchase and sale activities for fixed assets at predetermined prices. Insofar as the purchases and sales were not conducted within a framework of regional constraints and because an appropriate weighting scheme was not readily available, no aggregation of the Phase II results was made. Time-series analysis, production function analysis and “outlook” analysis were used to complement the programming analysis