Spread of avian influenza among poultry specialists in England during winter 2022/23: National poultry housing order and environmental drivers.

Purpose: To examine the impact of the national poultry housing order the UK government introduced on 7 November 2022 on the spreading of the avian influenza virus among poultry premises. Methods: A longitudinal design with 15 weeks of infected poultry specialist incidence rates per 100 poultry specialists during the 2022/23 winter for 8 English regions. A multilevel regression model was used to analyse repeated measurements. Time was level-1 unit and regions level-2 unit resulting in 120 observations. Random intercept models included interactions between housing order and weekly infected wild birds, poultry density, or weekly average temperatures divided into terciles. In models where these variables were not included as an interaction term they were introduced as confounders. Results: After the introduction of the housing order, it took 3 weeks for a considerable reduction in poultry specialist incidence rates. Reduction in incidence rates was strongest in regions with highest poultry density, from 1.27 (95%CI 0.99 to 1.56) to 0.30 (95%CI 0.09 to 0.52). Considerable reductions were also seen in regions with most detected infected wild birds. Conclusion: The housing order was successful in reducing infected poultry specialist incidence rates three weeks after its introduction. Strongest impact in regions with highest poultry density.

Novel methods to define invasive procedures at the end of life were developed to improve quality of end of life care research: a population-based cohort study in colorectal cancer.

BACKGROUND: Understanding the use of invasive procedures (IPs) at the end of life (EoL) is important to avoid undertreatment and overtreatment, but epidemiologic analysis is hampered by limited methods to define treatment intent and EoL phase. This study applied novel methods to report IPs at the EoL using a colorectal cancer case study. METHODS: An English population-based cohort of adult patients diagnosed between 2013 and 2015 was used with follow-up to 2018. Procedure intent (curative, noncurative, diagnostic) by cancer site and stage at diagnosis was classified by two surgeons independently. Joinpoint regression modeled weekly rates of IPs for 36 subcohorts of patients with incremental survival of 0-36 months. EoL phase was defined by a significant IP rate change before death. Zero-inflated Poisson regression explored associations between IP rates and clinical/sociodemographic variables. RESULTS: Of 87,731 patients included, 41,972 (48%) died. Nine thousand four hundred ninety two procedures were classified by intent (inter-rater agreement 99.8%). Patients received 502,895 IPs (1.39 and 3.36 per person year for survivors and decedents). Joinpoint regression identified significant increases in IPs 4 weeks before death in those living 3-6 months and 8 weeks before death in those living 7-36 months from diagnosis. Seven thousand nine hundred eight (18.8%) patients underwent IPs at the EoL, with stoma formation the most common major procedure. Younger age, early-stage disease, men, lower comorbidity, those receiving chemotherapy, and living longer from diagnosis were associated with IPs. CONCLUSION: Methods to identify and classify IPs at the EoL were developed and tested within a colorectal cancer population. This approach can be now extended and validated to identify potential undertreatment and overtreatment.

Suicide under the Nazi-regime: A Case-control Study among Amsterdam Jews.

OBJECTIVE: Jewish suicides increased heavily under Nazi-rule. This research investigated risk factors for dying from suicide according to sociodemographic characteristics, local context, and time periods. METHODS: Nazi-registration of Amsterdam residents of Jewish origin in 1941 linked to death and suicide lists. The added suicides after the Nazi-invasion (1940, n = 115) and the suicides when deportation trains ran (1942/1943, n = 182) were each matched to 25 controls using sex and age. Suicide was compared across migrant, occupational, marital, and religious status and neighborhood religiosity. Conditional logistic regression was applied, stratified by time period. RESULTS: In 1940, immigrant (cf. native born, odds ratio (OR) 1.89, 95%CI 1.21-2.96, p = .005) and married Jews (cf. previously married) showed higher suicide risk; members of Israelite Congregations (cf. nonmembers, OR 0.35, 95%CI 0.22-0.56, p < .001) showed reduced risk. Jews living in low synagogue rate neighborhoods showed higher risk compared to those living in neighborhoods without any synagogues (OR 2.48, 95%CI 1.65-3.72, p < .001) while those living in high synagogue rate neighborhoods showed no increased risk (OR 0.58, 95%CI 0.30-1.11, p = .10). In 1942/1943, the association between religious status (OR 1.07, 95%CI 0.67, 1.72, p = .77), synagogue rate (OR 1.27, 95%CI 0.91-1.77, p = .16), immigrant status (OR 1.30, 95%CI 0.92-1.84, p = .14) and suicide attenuated; Jews in managerial/professional occupations (cf. workers) or unmarried (cf. married) showed higher risk. CONCLUSIONS: In 1940, immigrants' higher suicide risk likely indicates greater fear of Nazis while religious affiliation's lower risk might indicate a protective effect of religious belief. In 1942/1943, risk differences markedly attenuated likely indicating increased fear of Nazis among all Jews.HighlightsReligiously affiliated Jews showed reduced risk of dying from suicide after the Nazi-invasionJewish immigrants showed higher risk of dying from suicide after the Nazi-invasionBy 1942/1943, these risks attenuated indicating fear of the Nazis spread and nullified religion's protection.

Association between continuity of primary care and both prescribing and adherence of common cardiovascular medications: a cohort study among patients in England.

OBJECTIVES: To investigate whether better continuity of care is associated with increased prescribing of clinically relevant medication and improved medication adherence. SETTING: Random sample of 300 000 patients aged 30+ in 2017 within 83 English general practitioner (GP) practices from the Clinical Practice Research Datalink. DESIGN: Patients were assigned to a randomly selected index date in 2017 on which medication use and continuity of care were determined. Adjusted associations between continuity of care and the prescribing and adherence of five cardiovascular medication groups were examined using logistic regression. PARTICIPANTS: Continuity of Care Index was calculated for 173 993 patients with 4+ GP consultations 2 years prior to their index date and divided into five categories: absence of continuity, below-average continuity, average, above-average continuity and perfect continuity. MAIN OUTCOME MEASURES: (A) Prescription for statins (primary or secondary prevention separately), anticoagulants, antiplatelet agents and antihypertensives covering the patient's index date. (B) Adherence (>80%) estimated using medication possession ratio. RESULTS: There was strong evidence (p<0.01) that prescription of all five cardiovascular medication groups increased with greater continuity of care. Patients with absence of continuity were less likely to be prescribed cardiovascular medications than patients with above-average continuity (statins primary prevention OR 0.73, 95% CI 0.59 to 0.85; statins secondary prevention 0.77, 95% CI 0.57 to 1.03; antiplatelets 0.55, 95% CI 0.33 to 0.92; antihypertensives 0.51, 95% CI 0.39 to 0.65). Furthermore, patients with perfect continuity were more likely to be prescribed cardiovascular medications than those with above-average continuity (statins primary prevention OR 1.23, 95% CI 1.01 to 1.49; statins secondary prevention 1.37, 95% CI 1.10 to 1.71; antiplatelets 1.37, 95% CI 1.08 to 1.74; antihypertensives 1.10, 95% CI 0.99 to 1.23). Continuity was generally not associated with medication adherence, except for adherence to statins for secondary prevention (OR 0.75, 95% CI 0.60 to 0.94 for average compared with above-average continuity). CONCLUSION: Better continuity of care is associated with improved prescribing of medication to patients at higher risk of cardiovascular disease but does not appear to be related to patient's medication adherence.

Is continuity of primary care declining in England? Practice-level longitudinal study from 2012 to 2017.

BACKGROUND: Continuity of care is a core principle of primary care related to improved patient outcomes and reduced healthcare costs. Evidence suggests continuity of care in England is declining. AIM: To confirm reports of declining continuity of care, explore differences in decline according to practice characteristics, and examine associations between practice populations or appointment provision and changes in continuity of care. DESIGN AND SETTING: Longitudinal design on GP Patient Survey data reported annually in June or July from 2012 to 2017, whereby the unit of analysis was English general practices that existed in 2012. METHOD: Linear univariable and bivariable multilevel models were used to determine decline in average annual percentage of patients having a preferred GP and seeing this GP 'usually' according to practicelevel continuity of care, rural/urban location, and deprivation. Associations between percentage of patients having a preferred GP or seeing this GP usually and patients' experiences with the appointment system and practice population characteristics were modelled. RESULTS: In 2012, 56.7% of patients had a preferred GP, which had declined by 9.4 percentage points (pp) (95% CI = -9.6 to -9.2) by 2017. Of patients with a preferred GP, 66.4% saw that GP 'usually' in 2012; this had declined by 9.7 pp (95% CI = -10.0 to -9.4) by 2017. This decline was visible in all types of practices, irrespective of baseline continuity, rural/urban location, or level of deprivation. At practice level, an increase over time in the percentage of patients reporting good overall experience of making appointments was associated with an increase in both the percentage of patients having a preferred GP and those able to see that GP 'usually'. CONCLUSION: Patients reported a steady decline in continuity of care over time, which should concern clinicians and policymakers. Ability of practices to offer patients a satisfactory appointment system could partly counteract this decline.

Social distancing, population density, and spread of COVID-19 in England: a longitudinal study.

BACKGROUND: The UK government introduced social distancing measures between 16-22 March 2020, aiming to slow down transmission of COVID-19. AIM: To explore the spreading of COVID-19 in relation to population density after the introduction of social distancing measures. DESIGN & SETTING: Longitudinal design with 5-weekly COVID-19 incidence rates per 100 000 people for 149 English Upper Tier Local Authorities (UTLAs), between 16 March and 19 April 2020. METHOD: Multivariable multilevel model to analyse weekly incidence rates per 100 000 people; time was level-1 unit and UTLA level-2 unit. Population density was divided into quartiles. The model included an interaction between week and population density. Potential confounders were percentage aged ≥65, percentage non-white British, and percentage in two highest classes of the National Statistics Socioeconomic Classification. Co-variates were male life expectancy at birth, and COVID-19 prevalence rate per 100 000 people on March 15. Confounders and co-variates were standardised around the mean. RESULTS: Incidence rates per 100 000 people peaked in the week of March 30-April 5, showing higher adjusted incidence rate per 100 000 people (46.2; 95% confidence interval [CI] = 40.6 to 51.8) in most densely populated ULTAs (quartile 4) than in less densely populated ULTAs (quartile 1: 33.3, 95% CI = 27.4 to 37.2; quartile 2: 35.9, 95% CI = 31.6 to 40.1). Thereafter, incidence rate dropped in the most densely populated ULTAs resulting in rate of 22.4 (95% CI = 16.9 to 28.0) in the week of April 13-19; this was lower than in quartiles 1, 2, and 3, respectively 31.4 (95% CI = 26.5 to 36.3), 34.2 (95% CI = 29.9 to 38.5), and 43.2 (95% CI = 39.0 to 47.4). CONCLUSION: After the introduction of social distancing measures, the incidence rates per 100 000 people dropped stronger in most densely populated ULTAs.

The impact of a named GP scheme on continuity of care and emergency hospital admission: a cohort study among older patients in England, 2012-2016.

OBJECTIVE: To investigate whether the introduction of a named general practitioner (GP, family physician) improved patients' healthcare for patients aged 75 and over in England. SETTING: Random sample of 27 500 patients aged 65 to 84 in 2012 within 139 English practices from the Clinical Practice Research Datalink linked with Hospital Episode Statistics. DESIGN: Prospective cohort approach, measuring patients' GP consultations and emergency hospital admissions 2 years before/after the intervention. Patients were grouped in (i) aged over 74 and (ii) younger than 75 in both periods in order to compare who were or were not subject to the intervention. Adjusted associations between the named GP scheme, continuity of care and emergency hospital admission were examined using multilevel modelling. INTERVENTION: National Health Service policy to introduce a named accountable GP for patients aged over 74 in April 2014. MAIN OUTCOME MEASURES: (A) Continuity of care index-score, (B) risk of emergency hospital admissions, (C) number of emergency hospital admissions. RESULTS: The intervention was associated with a decrease in continuity index-scores of -0.024 (95% CI -0.030 to -0.018, p<0.001); there were no differences in the decrease between the two age groups (-0.005, 95% CI -0.014 to 0.005). In the pre-intervention and post-intervention periods, respectively, 15.4% and 19.4% patients had an emergency admission. The probability of an emergency hospital admission increased after the intervention (OR 1.156, 95% CI 1.064 to 1.257, p=0.001); this increase was bigger for patients over 74 (relative OR 1.191, 95% CI 1.066 to 1.330, p=0.002). The average number of emergency hospital admissions increased after the intervention (rate ratio (RR) 1.178, 95% CI 1.103 to 1.259, p<0.001); this increase was greater for patients over 74 (relative RR 1.143, 95% CI 1.052 to 1.242, p=0.001). CONCLUSION: The introduction of the named GP scheme was not associated with improvements in either continuity of care or rates of unplanned hospitalisation.

Associating Locality-Level Characteristics With Surviving the Holocaust: A Multilevel Approach to the Odds of Being Deported and to Risk of Death Among Jews Living in Dutch Municipalities.

Characteristics of the localities in which Jews lived have received little attention in research on Holocaust-related deaths. We examined associations between locality-level and individual-level characteristics with the odds of being deported by applying multilevel mixed-effects logistic regression models to data for about 118,000 Jews in 102 Dutch municipalities listed in 1941-1942 and linked to postwar victims and returnees lists. We examined associations between individual-level characteristics and risk of death of deported Jews in multilevel mixed-effects Weibull regression models. Locality-level characteristics, per standard deviation increase, associated with higher deportation chance were more collaborating policemen (OR = 1.07, 95% CI: 1.02, 1.12), strongest segregation mentality (OR = 2.01, 95% CI: 1.15, 3.50), and less employment in agriculture (OR = 0.95, 95% CI: 0.88, 1.01). Higher percentage of Catholics (OR = 0.81, 95% CI: 0.70, 0.94) and stronger electoral support for the National Socialist Movement (OR = 0.90, 95% CI: 0.85, 0.97) unexpectedly reduced deportation chance. Individual-level characteristics associated with lower deportation chance were female sex, ages 0-5 or 15-30 years, and being immigrants, intermarried, or converts to Christianity. Deported males aged 15-30 years had reduced risk of death between July 1942 and July 1943 but increased risk thereafter, consistent with young adult men being selected for work after deportation but this selection not offering long-term protection. Holocaust survival chances were influenced by both locality-level and individual-level characteristics.

Can we identify older people most vulnerable to living in cold homes during winter?

PURPOSE: Living in a cold home increases the risk of dying in winter, especially in older people. However, it is unclear which individual factors predict whether older people are living in cold homes. METHODS: Thousand four hundred two men aged 74-95 years from a U.K. population-based study reported difficulties in keeping warm during winter, answering four simple "yes/no" questions. Associations between individual's characteristics and each of the four self-reported measures of cold homes were estimated using logistic regression models. Next, we investigated whether measures of cold homes predict mortality over the subsequent 2.1 years. RESULTS: Manual social class, difficulties making ends meet, and not being married were each associated (P < .05) with each of the four measures of cold homes (adjusted odds ratios ranged from 1.61 to 4.68). Social isolation, poor respiratory health, and grip strength were also associated with reports of cold homes. Hundred twenty-six men died; those who reported the presence of at least three measures cold homes had increased mortality (adjusted hazard ratios 2.85 [95% confidence interval, 1.11-7.30, P = .029]). CONCLUSIONS: Older people who find it hard to keep warm in winter, and have an elevated mortality, could be identified using a self-report questionnaire.

Use of primary care data to predict those most vulnerable to cold weather: a case-crossover analysis.

BACKGROUND: The National Institute for Health and Care Excellence (NICE) recommends that GPs use routinely available data to identify patients most at risk of death and ill health from living in cold homes. AIM: To investigate whether sociodemographic characteristics, clinical factors, and house energy efficiency characteristics could predict cold-related mortality. DESIGN AND SETTING: A case-crossover analysis was conducted on 34 777 patients aged ≥65 years from the Clinical Practice Research Datalink who died between April 2012 and March 2014. The average temperature of date of death and 3 days previously were calculated from Met Office data. The average 3-day temperature for the 28th day before/after date of death were calculated, and comparisons were made between these temperatures and those experienced around the date of death. METHOD: Conditional logistic regression was applied to estimate the odds ratio (OR) of death associated with temperature and interactions between temperature and sociodemographic characteristics, clinical factors, and house energy efficiency characteristics, expressed as relative odds ratios (RORs). RESULTS: Lower 3-day temperature was associated with higher risk of death (OR 1.011 per 1°C fall; 95% CI = 1.007 to 1.015; P<0.001). No modifying effects were observed for sociodemographic characteristics, clinical factors, and house energy efficiency characteristics. Analysis of winter deaths for causes typically associated with excess winter mortality (N = 7710) showed some evidence of a weaker effect of lower 3-day temperature for females (ROR 0.980 per 1°C, 95% CI = 0.959 to 1.002, P = 0.082), and a stronger effect for patients living in northern England (ROR 1.040 per 1°C, 95% CI = 1.013 to 1.066, P = 0.002). CONCLUSION: It is unlikely that GPs can identify older patients at highest risk of cold-related death using routinely available data, and NICE may need to refine its guidance.

Continuity of Primary Care and Emergency Hospital Admissions Among Older Patients in England.

PURPOSE: Secondary health care services have been under considerable pressure in England as attendance rates increase, resulting in longer waiting times and greater demands on staff. This study's aim was to examine the association between continuity of care and risk of emergency hospital admission among older adults. METHODS: We analyzed records from 10,000 patients aged 65 years and older in 2012 within 297 English general practices obtained from the Clinical Practice Research Datalink and linked with Hospital Episode Statistics. We used the Bice and Boxerman (BB) index and the appointed general practitioner index (last general practitioner consulted before hospitalization) to quantify patient-physician continuity. The BB index was used in a prospective cohort approach to assess impact of continuity on risk of admission. Both indices were used in a separate retrospective nested case-control approach to test the effect of changing physician on the odds of hospital admission in the following 30 days. RESULTS: In the prospective cohort analysis, the BB index showed a graded, non-significant inverse relationship of continuity of care with risk of emergency hospital admission, although the hazard ratio for patients experiencing least continuity was 2.27 (95% CI, 1.37-3.76) compared with those having complete continuity. In the retrospective nested case-control analysis, we found a graded inverse relationship between continuity of care and emergency hospital admission for both BB and appointed general practitioner indices: for the latter, the odds ratio for those experiencing least continuity was 2.32 (95% CI, 1.48-3.63) relative to those experiencing most continuity. CONCLUSIONS: Marked discontinuity of care might contribute to increased unplanned hospital admissions among patients aged 65 years and older. Schemes to enhance continuity of care have the potential to reduce hospital admissions.

Exploring the relationship between general practice characteristics and attendance at Walk-in Centres, Minor Injuries Units and Emergency Departments in England 2009/10-2012/2013: a longitudinal study.

BACKGROUND: The UK National Health Service Emergency Departments (ED) have recently faced increasing attendance rates. This study investigated associations of general practice and practice population characteristics with emergency care service attendance rates. METHODS: A longitudinal design with practice-level measures of access and continuity of care, patient population demographics and use of emergency care for the financial years 2009/10 to 2012/13. The main outcome measures were self-referred discharged ED attendance rate, and combined self-referred discharged ED, self-referred Walk-in Centre (WiC) and self-referred Minor Injuries Unit (MIU) attendance rate per 1000 patients. Multilevel models estimated adjusted regression coefficients for relationships between patients' emergency attendance rates and patients' reported satisfaction with opening hours and waiting time at the practice, proportion of patients having a preferred GP, and use of WiC and MIU, both between practices, and within practices over time. RESULTS: Practice characteristics associated with higher ED attendance rates included lower percentage of patients satisfied with waiting time (0.22 per 1% decrease, 95%CI 0.02 to 0.43) and lower percentage having a preferred GP (0.12 per 1% decrease, 95%CI 0.02 to 0.21). Population influences on higher attendance included more elderly, more female and more unemployed patients, and lower male life-expectancy and urban conurbation location. Net reductions in ED attendance were only seen for practices whose WiC or MIU attendance was high, above the 60th centile for MIU and above the 75th centile for WiC. Combined emergency care attendance fell over time if more patients within a practice were satisfied with opening hours (-0.26 per 1% increase, 95%CI -0.45 to -0.08). CONCLUSION: Practices with more patients satisfied with waiting time, having a preferred GP, and using MIU and WIC services, had lower ED attendance. Increases over time in attendance at MIUs, and patient satisfaction with opening hours was associated with reductions in service use.

Surviving the Holocaust: Socio-demographic Differences Among Amsterdam Jews.

This study determined the victimisation rate among Amsterdam Jews and socio-demographic differences in surviving the Holocaust. After linking a registration list of over 77,000 Jewish inhabitants in 1941 to post-war lists of Jewish victims and survivors, the victimisation rate lies between 74.3 and 75.3 %. Differences in survival chances and risk of being killed are examined by using multivariable logistic and Cox regression analyses. While male Jews had a reduced risk of death, in the end their survival chances hardly differed from females. Though Jews aged 6-14 and 31-50 initially had a lower risk of death, in the end compared with Jews aged 15-30 they had lower survival chances, just as Jews aged 50+. For Jews aged 0-5, it was the other way around. Immigrants showed better survival chances than native Jews. German Jews showed better survival chances than Dutch Jews, but Polish and other Jewish nationals showed highest survival chances. Jews who had abandoned Judaism had better survival chances than Jews belonging to an Israelite congregation. Divorced, widowed and unmarried adult Jews had better survival chances than married Jews and their children; Jews married to non-Jews, however, had one of the highest survival chances. Jews in the two highest social classes had better survival chances than jobless Jews. These findings indicate that survival was not random but related to socio-demographic characteristics. This sheds light on demographic consequences of conflict and violence: Nazi persecution reduced the Amsterdam Jewish community drastically, and socio-demographic differences in survival impacted the post-war Jewish population structure.

Why do patients seek primary medical care in emergency departments? An ethnographic exploration of access to general practice.

OBJECTIVES: To describe how processes of primary care access influence decisions to seek help at the emergency department (ED). DESIGN: Ethnographic case study combining non-participant observation, informal and formal interviewing. SETTING: Six general practitioner (GP) practices located in three commissioning organisations in England. PARTICIPANTS AND METHODS: Reception areas at each practice were observed over the course of a working week (73 hours in total). Practice documents were collected and clinical and non-clinical staff were interviewed (n=19). Patients with recent ED use, or a carer if aged 16 and under, were interviewed (n=29). RESULTS: Past experience of accessing GP care recursively informed patient decisions about where to seek urgent care, and difficulties with access were implicit in patient accounts of ED use. GP practices had complicated, changeable systems for appointments. This made navigating appointment booking difficult for patients and reception staff, and engendered a mistrust of the system. Increasingly, the telephone was the instrument of demand management, but there were unintended consequences for access. Some patient groups, such as those with English as an additional language, were particularly disadvantaged, and the varying patient and staff semantic of words like 'urgent' and 'emergency' was exacerbated during telephone interactions. Poor integration between in-hours and out-of-hours care and patient perceptions of the quality of care accessible at their GP practice also informed ED use. CONCLUSIONS: This study provides important insight into the implicit role of primary care access on the use of ED. Discourses around 'inappropriate' patient demand neglect to recognise that decisions about where to seek urgent care are based on experiential knowledge. Simply speeding up access to primary care or increasing its volume is unlikely to alleviate rising ED use. Systems for accessing care need to be transparent, perceptibly fair and appropriate to the needs of diverse patient groups.

Exploring the relationship between general practice characteristics, and attendance at walk-in centres, minor injuries units and EDs in England 2012/2013: a cross-sectional study.

BACKGROUND: For several years, EDs in the UK NHS have faced considerable increases in attendance rates. Walk-in centres (WiCs) and minor injuries units (MIUs) have been suggested as solutions. We aimed to investigate the associations between practice and practice population characteristics with ED attendance rates or combined ED/WiC/MIU attendance, and the associations between WiC/MIU and ED attendance. METHODS: We used general practice-level data including 7462 English practices in 2012/2013 and present adjusted regression coefficients from linear multivariable analysis for relationships between patients' emergency attendance rates and practice characteristics. RESULTS: Every percentage-point increase in patients reporting inability to make an appointment was associated with an increase in emergency attendance by 0.36 (95% CI 0.06 to 0.66) per 1000 population. Percentage-point increases in patients unable to speak to a general practitioner (GP)/nurse within two workdays and patients able to speak often to their preferred GP were associated with increased emergency attendance/1000 population by 0.23 (95% CI 0.05 to 0.42) and 0.10 (95% CI 0.00 to 0.19), respectively. Practices in areas encompassing several towns (conurbations) had higher attendance than rural practices, as did practices with more non-UK-qualified GPs. Practice population characteristics associated with increased emergency attendance included higher unemployment rates, higher percentage of UK whites and lower male life expectancy, which showed stronger associations than practice characteristics. Furthermore, higher MIU or WiC attendance rates were associated with lower ED attendance rates. CONCLUSIONS: Improving availability of appointments and opportunities to speak a GP/nurse at short notice might reduce ED attendance. Establishing MIUs and WiCs might also reduce ED attendance.

Survival of Jews during the Holocaust: the importance of different types of social resources.

BACKGROUND: Of the Jewish inhabitants of Amsterdam 25.9% survived the Holocaust. However, different cultural and socio-economic groups within the Jewish community may have had different social resources and different chances of survival. METHOD: To determine social resources by studying a random sample of 7,665 Jews living in Amsterdam on the eve of the destruction of Dutch Jewry. Binary logistic regression models are used to test several hypotheses and express odds ratios. As some types of social resources may be interrelated, multivariable analyses are used. RESULTS: There were basically two ways of avoiding deportation to the death camps: going into hiding or acquiring protected status. The latter option was open chiefly to Jews having German nationality. In the analyses a higher survival rate correlates with holding German nationality, however is not significant when job status is included. Survival correlates strongly with having relations with non-Jews. The results were controlled for marital status, number of children, age below 15 years and gender. Standard errors and P-values were adjusted for family relationship by using robust standard error analyses. CONCLUSION: Survival correlates most strongly with having close social ties with non-Jews. Although Jews could sometimes acquire protected status, this was no more than temporary. In order to survive, Jews needed someone who was a non-Jew to hide them and provide support.