An Islamic Triangle Changing Relationships between Sharia, State Law, and Local Customs

The installation of large numbers of Muslim immigrants in Western Europe and the United States has contributed to a renewed interest in Islamic law in these countries. Knowledge of Islamic law is considered necessary in order to understand the behaviour of Muslims, especially in cases in which it conflicts with indigenous norms in Western societies. In addition to the emphasis on Islamic law, it is important also to study the diversity of norms governing the behaviour of Muslims. Apart from sharia, norms related to state law and to local customs are also signficant as is the relationship between these different sets of norms considered in a historical perspective

Mapping Chronic Disease Prevalence based on Medication Use and Socio-demographic variables: an Application of LASSO in healthcare in the Netherlands

BACKGROUND: Policymakers generally lack sufficiently detailed health information to develop localized health policy plans. Chronic disease prevalence mapping is difficult as accurate direct sources are often lacking. Improvement is possible by adding extra information such as medication use and demographic information to identify disease. The aim of the current study was to obtain small geographic area prevalence estimates for four common chronic diseases by modelling based on medication use and socio-economic variables and next to investigate regional patterns of disease. METHODS: Administrative hospital records and general practitioner registry data were linked to medication use and socio-economic characteristics. The training set (n = 707,021) contained GP diagnosis and/or hospital admission diagnosis as the standard for disease prevalence. For the entire Dutch population (n = 16,777,888), all information except GP diagnosis and hospital admission was available. LASSO regression models for binary outcomes were used to select variables strongly associated with disease. Dutch municipality (non-)standardized prevalence estimates for stroke, CHD, COPD and diabetes were then based on averages of predicted probabilities for each individual inhabitant. RESULTS: Adding medication use data as a predictor substantially improved model performance. Estimates at the municipality level performed best for diabetes with a weighted percentage error (WPE) of 6.8%, and worst for COPD (WPE 14.5%)Disease prevalence showed clear regional patterns, also after standardization for age. CONCLUSION: Adding medication use as an indicator of disease prevalence next to socio-economic variables substantially improved estimates at the municipality level. The resulting individual disease probabilities could be aggregated into any desired regional level and provide a useful tool to identify regional patterns and inform local policy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10754-4

Clustering of chronic hepatitis B screening intentions in social networks of Moroccan immigrants in the Netherlands

Background Early detection, identification, and treatment of chronic hepatitis B through screening is vital for those at increased risk, e.g. born in hepatitis B endemic countries. In the Netherlands, Moroccan immigrants show low participation rates in health-related screening programmes. Since social networks influence health behaviour, we investigated whether similar screening intentions for chronic hepatitis B cluster within social networks of Moroccan immigrants. Methods We used respondent-driven sampling (RDS) where each participant ("recruiter") was asked to complete a questionnaire and to recruit three Moroccans ("recruitees") from their social network. Logistic regression analyses were used to analyse whether the recruiters' intention to request a screening test was similar to the intention of their recruitees. Results We sampled 354 recruiter-recruitee pairs: for 154 pairs both participants had a positive screening intention, for 68 pairs both had a negative screening intention, and the remaining 132 pairs had a discordant intention to request a screening test. A tie between a recruiter and recruitee was associated with having the same screening intention, after correction for sociodemographic variables (OR 1.70 [1.15-2.51]). Conclusions The findings of our pilot study show clustering of screening intention among individuals in the same network. This provides opportunities for social network interventions to encourage participation in hepatitis B screening initiatives

Remote Home Monitoring of Older Surgical Cancer Patients:Perspective on Study Implementation and Feasibility

BACKGROUND: Remote home monitoring might fill the perceived surveillance gap after hospital discharge. However, it is unclear whether older oncologic patients will be able to use the required new digital technologies. The study aimed to assess the feasibility of postoperative remote home monitoring for this population. METHODS: This observational cohort study recruited patients aged 65 years or older scheduled for oncologic surgery. The study patients used a mobile application and activity tracker preoperatively until 3 months postoperatively. A subset of the patients used additional devices (thermometer, blood pressure monitor, weight scale) and completed electronic health questionnaires 2 weeks after hospital discharge. Feasibility was assessed by the study completion rate, compliance in using components of the information technology system, acceptability [Net Promotor Score (NPS)] and usability [System Usability Scale (SUS)]. The NPS score varied from - 100 to + 100. An SUS higher than 68 was considered above average. RESULTS: Of 47 participants (mean age, 72 years; range, 65-85 years), 37 completed a follow-up assessment, yielding a completion rate of 79%. Compliance in using the activity tracker (n = 41) occurred a median of 81 days [interquartile range (IQR), 70-90 days] out of 90 post-discharge days. Compliance in measuring vital signs and completing health questionnaires varied from a median of 10.5 days (IQR, 4.5-14.0 days) to 12 days (IQR, 5-14 days) out of 14 days. The NPS was + 29.7%, and the mean SUS was 74.4 ± 19.3. CONCLUSION: Older oncologic patients in the study considered postoperative home monitoring acceptable and usable. Once they consented to participate, the patients were compliant, and the completion rate was high

The impact of bead milling on the thermodynamics and kinetics of the structural phase transition of VO2 particulate materials and their potential for use in thermochromic glazing

The thermodynamics and kinetics of the structural phase transition from monoclinic VO2 (M) to rutile VO2 (R) and vice versa were studied for particulate materials obtained by bead milling of VO2 (M) powder. Using wet bead milling, we decreased the particle size of VO2 (M) powder from ∼1 μm to 129 nm. With progressive milling, the switching enthalpy decreased from 47 J g−1 to 29 J g−1 due to a loss of crystallinity. The switching kinetics were studied using Friedman's differential isoconversional method. The activation energy |Eα| decreases with increasing difference between the actual temperature of the material and its switching temperature (T0). Furthermore, |Eα| decreases with progressive milling, and kinetic asymmetry is induced. For milled particulate materials, |Eα| is lower for the switch from VO2 (R) to VO2 (M) than for the opposite switch. For hydrothermally synthesized nanoparticles, |Eα| is in the same order of magnitude, albeit with inverse switching asymmetry. Latter may result from different defects that are introduced during both preparation techniques. Applying layers of milled particulate material to glass sheets yielded thermochromic coatings with luminous transmission of 40.7% and solar modulation of 8.3%. This demonstrates that milled VO2 particles have potential for use in energy efficient thermochromic windows

A multi-criteria decision analysis perspective on the health economic evaluation of medical interventions

Abstract A standard practice in health economic evaluation is to monetize health effects by assuming a certain societal willingness-to-pay per unit of health gain. Although the resulting net monetary benefit (NMB) is easy to compute, the use of a single willingness-to-pay threshold assumes expressibility of the health effects on a single nonmonetary scale. To relax this assumption, this article proves that the NMB framework is a special case of the more general stochastic multi-criteria acceptability analysis (SMAA) method. Specifically, as SMAA does not restrict the number of criteria to two and also does not require the marginal rates of substitution to be constant, there are problem instances for which the use of this more general method may result in a better understanding of the tradeoffs underlying the reimbursement decision-making problem. This is illustrated by applying both methods in a case study related to infertility treatment

Stratified treatment recommendation or one-size-fits-all? A health economic insight based on graphical exploration

Objectives We sought to explore to what extent the use of Subpopulation Treatment Effect Pattern Plot (STEPP) may help to identify efficient treatment allocation strategy. Methods The analysis was based on data from the COACH study, in which 1023 patients with heart failure were randomly assigned to three treatments: care-as-usual, basic support, and intensive support. First, using predicted 18-month mortality risk as the stratification basis, a suitable strategy for assigning different treatments to different risk groups of patients was developed. To that end, a graphical exploration of the difference in net monetary benefit (NMB) across treatment regimens and baseline risk was used. Next, the efficiency gains resulting from this proposed subgroup strategy were quantified by computing the difference in NMB between our stratified approach and the best performing population-wide strategy. Results The analysis using STEPPs suggested that a differentiated approach, based on offering intensive support to low-risk patients (18-month mortality risk ≤ 0.16) and basic support to intermediate- to high-risk patients (18-month mortality risk > 0.16) would be an economically efficient treatment allocation strategy. This was confirmed in the subsequent cost-effectiveness analysis, where the average gain in NMB resulting from the proposed stratified approach compared to basic support for all was found to be €1312 (95% CI €390–€2346) per patient. Conclusions STEPP provides a systematic approach to assess the interaction between baseline risk and the difference in NMB between competing interventions and to identify cutoffs to stratify patients in a health economically optimal manner