Data linkage studies of primary care utilisation after release from prison: a scoping review.

BACKGROUND: Primary care plays a central role in most, if not all, health care systems including the care of vulnerable populations such as people who have been incarcerated. Studies linking incarceration records to health care data can improve understanding about health care access following release from prison. This review maps evidence from data-linkage studies about primary care use after prison release. METHODS: The framework by Arksey and O'Malley and guidance by the Joanna Briggs Institute (JBI) were used in this review. This scoping review followed methods published in a study protocol. Searches were performed (January 2012-March 2023) in MEDLINE, EMBASE and Web of Science Core Collection using key-terms relating to two areas: (i) people who have been incarcerated and (ii) primary care. Using eligibility criteria, two authors independently screened publication titles and abstracts (step 1), and subsequently, screened full text publications (step 2). Discrepancies were resolved with a third author. Two authors independently charted data from included publications. Findings were mapped by methodology, key findings and gaps in research. RESULTS: The database searches generated 1,050 publications which were screened by title and abstract. Following this, publications were fully screened (n = 63 reviewer 1 and n = 87 reviewer 2), leading to the inclusion of 17 publications. Among the included studies, primary care use after prison release was variable. Early contact with primary care services after prison release (e.g. first month) was positively associated with an increased health service use, but an investigation found that a large proportion of individuals did not access primary care during the first month. The quality of care was found to be largely inadequate (measured continuity of care) for moderate multimorbidity. There were lower levels of colorectal and breast cancer screening among people released from custody. The review identified studies of enhanced primary care programmes for individuals following release from prison, with studies reporting a reduction in reincarceration and criminal justice system costs. CONCLUSIONS: This review has suggested mixed evidence regarding primary care use after prison release and has highlighted challenges and areas of suboptimal care. Further research has been discussed in relation to the scoping review findings.

Childhood contact with social services and risk of suicide or sudden death in young adulthood: identifying hidden risk in a population-wide cohort study.

BACKGROUND: Childhood out-of-home care is associated with premature death in adulthood, in particular death by suicide, accidents and violence. However, little is known about the mortality risk in the much larger population of adults that had contact with social services in childhood but never entered out-of-home care. We determine the association between all tiers of contact with children's social services and risk of suicide and other sudden deaths in young adulthood. METHODS: This population-wide, longitudinal, record-linkage study of adults in Northern Ireland born between 1985 and 1997 (n=437 008) followed each individual from age 18 years to July 2021 (maximum age 36 years). Cox regression models estimated the association between level of contact with social services in childhood (no contact; referred but assessed as not in need (NIN); child in need (CIN) and child in care (CIC)) and risk of death by suicide and sudden death in young adulthood. RESULTS: Individuals with childhood social care contact (n=51 097) comprised 11.7% of the cohort yet accounted for 35.3% of sudden deaths and 39.7% of suicide deaths. Risk of suicide or sudden death increased stepwise with level of childhood contact and was highest in adults with a history of out-of-home care (suicide HR 8.85 (95% CI 6.83 to 11.4)). Individuals assessed as NIN, and those deemed a CIN, had four times the risk of death by suicide in young adulthood compared with unexposed peers (HR 4.25 (95% CI 3.26 to 5.53) and HR 4.49 (95% CI 3.75 to 5.39), respectively). CONCLUSION: Childhood contact with social services is a risk marker for death by suicide and sudden death in young adulthood. Risk is not confined to adults with a history of out-of-home care but extends to the much larger population that had contact with social services but never entered care.

Maternal multimorbidity and preterm birth in Scotland: an observational record-linkage study.

BACKGROUND: Multimorbidity is common in women across the life course. Preterm birth is the single biggest cause of neonatal mortality and morbidity. We aim to estimate the prevalence of multimorbidity in pregnant women and to examine the association between maternal multimorbidity and PTB. METHODS: This is a retrospective cohort study using electronic health records from the Scottish Morbidity Records. All pregnancies among women aged 15 to 49 with a conception date between 1 January 2014 and 31 December 2018 were included. Multimorbidity was defined as the presence of two or more pre-existing long-term physical or mental health conditions, and complex multimorbidity as the presence of four or more. It was calculated at the time of conception using a predefined list of 79 conditions published by the MuM-PreDiCT consortium. PTB was defined as babies born alive between 24 and less than 37 completed weeks of gestation. We used Generalised Estimating Equations adjusted for maternal age, socioeconomic status, number of previous pregnancies, BMI, and smoking history to estimate the effect of maternal pre-existing multimorbidity. Absolut rates are reported in the results and tables, whilst Odds Ratios (ORs) are adjusted (aOR). RESULTS: Thirty thousand five hundred fifty-seven singleton births from 27,711 pregnant women were included in the analysis. The prevalence of pre-existing multimorbidity and complex multimorbidity was 16.8% (95% CI: 16.4-17.2) and 3.6% (95% CI: 3.3-3.8), respectively. The prevalence of multimorbidity in the youngest age group was 10.2%(95% CI: 8.8-11.6), while in those 40 to 44, it was 21.4% (95% CI: 18.4-24.4), and in the 45 to 49 age group, it was 20% (95% CI: 8.9-31.1). In women without multimorbidity, the prevalence of PTB was 6.7%; it was 11.6% in women with multimorbidity and 15.6% in women with complex multimorbidity. After adjusting for maternal age, socioeconomic status, number of previous pregnancies, Body Mass Index (BMI), and smoking, multimorbidity was associated with higher odds of PTB (aOR = 1.64, 95% CI: 1.48-1.82). CONCLUSIONS: Multimorbidity at the time of conception was present in one in six women and was associated with an increased risk of preterm birth. Multimorbidity presents a significant health burden to women and their offspring. Routine and comprehensive evaluation of women with multimorbidity before and during pregnancy is urgently needed.

The mental health of all children in contact with social services: a population-wide record-linkage study in Northern Ireland.

AIMS: Children in contact with social services are at high risk for mental ill health, but it is not known what proportion of the child population has contact with social services or how risk varies within this group compared to unexposed peers. We aim to quantify the extent and nature of contact with social services within the child population in Northern Ireland (NI) and the association with mental ill health. We also examine which social care experiences identify those most at risk. METHODS: This is a population-based record-linkage study of 497,269 children (aged under 18 years) alive and resident in NI in 2015 using routinely collected health and social care data. Exposure was categorized as (1) no contact, (2) referred but assessed as not in need (NIN), (3) child in need (CIN) and (4) child in care (CIC). Multilevel logistic regression analyses estimated odds ratios (ORs) for mental ill health indicated by receipt of psychotropic medication (antidepressants, anxiolytics, antipsychotics and hypnotics), psychiatric hospital admission and hospital-presenting self-harm or ideation. RESULTS: Over one in six children (17.2%, n = 85,792) were currently or previously in contact with social services, and almost one child in every 20 (4.8%, n = 23,975) had contact in 2015. Likelihood of any mental ill health outcome increased incrementally with the level of contact with social services relative to unexposed peers: NIN (OR 5.90 [95% confidence interval (CI) 5.10-6.83]), CIN (OR 5.99 [95% CI 5.50-6.53]) and CIC (OR 12.60 [95% CI 10.63-14.95]). All tiers of contact, number of referrals, number of care episodes and placement type were strongly associated with the likelihood of mental ill health. CONCLUSION: Children who have contact with social services account for a large and disproportionate amount of mental ill health in the child population. Likelihood of poor mental health across indicators is highest in care experienced children but also extends to the much larger population of children in contact with social services but never in care. Findings suggest a need for targeted mental health screening and enhanced support for all children in contact with social services.

Polypharmacy during pregnancy and associated risk factors: a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019.

BACKGROUND: The number of medications prescribed during pregnancy has increased over the past few decades. Few studies have described the prevalence of multiple medication use among pregnant women. This study aims to describe the overall prevalence over the last two decades among all pregnant women and those with multimorbidity and to identify risk factors for polypharmacy in pregnancy. METHODS: A retrospective cohort study was conducted between 2000 and 2019 using the Clinical Practice Research Datalink (CPRD) pregnancy register. Prescription records for 577 medication categories were obtained. Prevalence estimates for polypharmacy (ranging from 2+ to 11+ medications) were presented along with the medications commonly prescribed individually and in pairs during the first trimester and the entire pregnancy period. Logistic regression models were performed to identify risk factors for polypharmacy. RESULTS: During the first trimester (812,354 pregnancies), the prevalence of polypharmacy ranged from 24.6% (2+ medications) to 0.1% (11+ medications). During the entire pregnancy period (774,247 pregnancies), the prevalence ranged from 58.7 to 1.4%. Broad-spectrum penicillin (6.6%), compound analgesics (4.5%) and treatment of candidiasis (4.3%) were commonly prescribed. Pairs of medication prescribed to manage different long-term conditions commonly included selective beta 2 agonists or selective serotonin re-uptake inhibitors (SSRIs). Risk factors for being prescribed 2+ medications during the first trimester of pregnancy include being overweight or obese [aOR: 1.16 (1.14-1.18) and 1.55 (1.53-1.57)], belonging to an ethnic minority group [aOR: 2.40 (2.33-2.47), 1.71 (1.65-1.76), 1.41 (1.35-1.47) and 1.39 (1.30-1.49) among women from South Asian, Black, other and mixed ethnicities compared to white women] and smoking or previously smoking [aOR: 1.19 (1.18-1.20) and 1.05 (1.03-1.06)]. Higher and lower age, higher gravidity, increasing number of comorbidities and increasing level of deprivation were also associated with increased odds of polypharmacy. CONCLUSIONS: The prevalence of polypharmacy during pregnancy has increased over the past two decades and is particularly high in younger and older women; women with high BMI, smokers and ex-smokers; and women with multimorbidity, higher gravidity and higher levels of deprivation. Well-conducted pharmaco-epidemiological research is needed to understand the effects of multiple medication use on the developing foetus.

Epidemiology of pre-existing multimorbidity in pregnant women in the UK in 2018: a population-based cross-sectional study.

BACKGROUND: Although maternal death is rare in the United Kingdom, 90% of these women had multiple health/social problems. This study aims to estimate the prevalence of pre-existing multimorbidity (two or more long-term physical or mental health conditions) in pregnant women in the United Kingdom (England, Northern Ireland, Wales and Scotland). STUDY DESIGN: Pregnant women aged 15-49 years with a conception date 1/1/2018 to 31/12/2018 were included in this population-based cross-sectional study, using routine healthcare datasets from primary care: Clinical Practice Research Datalink (CPRD, United Kingdom, n = 37,641) and Secure Anonymized Information Linkage databank (SAIL, Wales, n = 27,782), and secondary care: Scottish Morbidity Records with linked community prescribing data (SMR, Tayside and Fife, n = 6099). Pre-existing multimorbidity preconception was defined from 79 long-term health conditions prioritised through a workshop with patient representatives and clinicians. RESULTS: The prevalence of multimorbidity was 44.2% (95% CI 43.7-44.7%), 46.2% (45.6-46.8%) and 19.8% (18.8-20.8%) in CPRD, SAIL and SMR respectively. When limited to health conditions that were active in the year before pregnancy, the prevalence of multimorbidity was still high (24.2% [23.8-24.6%], 23.5% [23.0-24.0%] and 17.0% [16.0 to 17.9%] in the respective datasets). Mental health conditions were highly prevalent and involved 70% of multimorbidity CPRD: multimorbidity with ≥one mental health condition/s 31.3% [30.8-31.8%]). After adjusting for age, ethnicity, gravidity, index of multiple deprivation, body mass index and smoking, logistic regression showed that pregnant women with multimorbidity were more likely to be older (CPRD England, adjusted OR 1.81 [95% CI 1.04-3.17] 45-49 years vs 15-19 years), multigravid (1.68 [1.50-1.89] gravidity ≥ five vs one), have raised body mass index (1.59 [1.44-1.76], body mass index 30+ vs body mass index 18.5-24.9) and smoked preconception (1.61 [1.46-1.77) vs non-smoker). CONCLUSION: Multimorbidity is prevalent in pregnant women in the United Kingdom, they are more likely to be older, multigravid, have raised body mass index and smoked preconception. Secondary care and community prescribing dataset may only capture the severe spectrum of health conditions. Research is needed urgently to quantify the consequences of maternal multimorbidity for both mothers and children.

Disparities in Breast Cancer Screening Uptake for Women With Mental Illness in the United Kingdom.

INTRODUCTION: Although there is evidence of disparities in breast cancer screening for women with mental illness in the U.S., there is a dearth of studies examining this association in the United Kingdom, where health care is provided free at the point of access. This population-based study examines the influence of mental illness, as assessed by the uptake of psychotropic medications, on breast screening uptake in the United Kingdom. METHODS: A cohort of 57,328 women identified from 2011 Census records within the Northern Ireland Longitudinal Study was followed through a single 3-year screening cycle (2011-2014) of the National Health Service Breast Screening Programme. Mental illness was identified by a receipt of psychotropic medication in the 3 months preceding screening invite. Individual- and household-level attributes were derived from Census records. Data were analyzed in 2019. RESULTS: More than a third of women received ≥1 prescription for psychotropic medication in the 3 months preceding screening invite. The odds of attendance in these individuals were reduced by 15% (OR=0.85, 95% CI=0.81, 0.88). Attendance was particularly low for women prescribed antipsychotics (OR=0.63, 95% CI=0.56, 0.70), anxiolytics (OR=0.61, 95% CI=0.57, 0.66), and hypnotics (OR=0.68, 95% CI=0.63, 0.72). CONCLUSIONS: These findings confirm the existence of significant disparities in breast screening uptake for women with mental illness. Targeted interventions are warranted to prevent avoidable breast cancer deaths in these individuals, especially given the increasing prevalence of mental illness.

Does poor mental health explain socio-demographic gradients in breast cancer screening uptake? A population-based study.

BACKGROUND: Research from the USA indicates disparities in breast cancer screening uptake for women with poor mental health. However, no attempt has been made to examine the contribution of poor mental health to socio-demographic variations in breast screening uptake. The current study aims to examine the impact of self-reported chronic poor mental health on attendance at breast screening in the UK, and to what extent this explains socio-demographic inequalities in screening uptake. METHODS: Breast screening records were linked to 2011 Census records within the Northern Ireland Longitudinal Study. This identified a cohort of 57 328 women who were followed through one 3-year screening cycle of the National Health Service Breast Screening Programme. Information on mental health status, in addition to other individual and household-level attributes, was derived from the 2011 Census. Logistic regression was employed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) of attendance at screening. RESULTS: 10.7% of women in the cohort reported poor mental health, and in fully adjusted analyses, these individuals were 23% less likely to attend breast screening (OR 0.77; 95% CI 0.73-0.82). Although poor mental health was a strong predictor of screening uptake, it did not explain the observed inequalities in uptake by socio-economic status, marital status, or area of residence. CONCLUSIONS: This study provides novel evidence of inequalities in breast screening uptake for women with chronic poor mental health in the UK. Targeted interventions are necessary to ensure equitable screening access and to enhance overall mortality benefit.

Disability as a predictor of breast cancer screening uptake: A population-based study of 57,328 women.

OBJECTIVE: Despite a growing body of evidence suggesting inequalities in breast cancer screening uptake in the United States for women with disabilities, few attempts have been made to examine whether this association applies to the United Kingdom. We conducted the first population-wide study investigating the impact of disability on uptake of breast cancer screening in Northern Ireland. METHODS: Breast screening records extracted from the National Breast Screening System were linked to the Northern Ireland Longitudinal Study. This identified a cohort of 57,328 women who were followed through one complete three-year screening cycle of the National Health Service Breast Screening Programme in Northern Ireland. The presence of disability was identified from responses to the 2011 Census. RESULTS: Within this cohort, 35.8% of women reported having at least one chronic disability, and these individuals were 7% less likely to attend compared with those with no disability (odds ratio 0.93; 95% confidence interval 0.89-0.98). Variation in the degree of disparity observed was evident according to the type and number of comorbid disabilities examined. CONCLUSION: This is the first population-wide study in Northern Ireland to identify disparities in breast screening uptake for women with chronic disabilities, in particular, those with multimorbidity. This is of particular concern, given the projected rise in the prevalence of disability associated with the ageing population.

The Effectiveness, cost-effectiveness and acceptability of Community versus Hospital Eye Service follow-up for patients with neovascular age-related macular degeneration with quiescent disease (ECHoES): a virtual randomised balanced incomplete block trial.

BACKGROUND: Patients with neovascular age-related macular degeneration (nAMD) usually attend regular reviews, even when the disease is quiescent. Reviews are burdensome to health services, patients and carers. OBJECTIVES: To compare the proportion of correct lesion classifications made by community-based optometrists and ophthalmologists from vignettes of patients; to estimate the cost-effectiveness of community follow-up by optometrists compared with follow-up by ophthalmologists in the Hospital Eye Service (HES); to ascertain views of patients, their representatives, optometrists, ophthalmologists and clinical commissioners on the proposed shared care model. DESIGN: Community-based optometrists and ophthalmologists in the HES classified lesions from vignettes comprising clinical information, colour fundus photographs and optical coherence tomography images. Participants' classifications were validated against experts' classifications (reference standard). SETTING: Internet-based application. PARTICIPANTS: Ophthalmologists had to have ≥ 3 years post-registration experience in ophthalmology, have passed part 1 of the Royal College of Ophthalmologists, Diploma in Ophthalmology or equivalent examination, and have experience in the age-related macular degeneration service. Optometrists had to be fully qualified, be registered with the General Optical Council for ≥ 3 years and not be participating in nAMD shared care. INTERVENTIONS: The trial sought to emulate a conventional trial in comparing optometrists' and ophthalmologists' decision-making, but vignettes, not patients, were assessed; therefore, there were no interventions. Participants received training prior to assessing vignettes. MAIN OUTCOME MEASURES: Primary outcome - correct classification of the activity status of a lesion based on a vignette, compared with a reference standard. Secondary outcomes - frequencies of potentially sight-threatening errors, participants' judgements about specific lesion components, participant-rated confidence in their decisions and cost-effectiveness of follow-up by community-based optometrists compared with HES ophthalmologists. RESULTS: In total, 155 participants registered for the trial; 96 (48 in each professional group) completed training and main assessments and formed the analysis population. Optometrists and ophthalmologists achieved 1702 out of 2016 (84.4%) and 1722 out of 2016 (85.4%) correct classifications, respectively [odds ratio (OR) 0.91, 95% confidence interval (CI) 0.66 to 1.25; p = 0.543]. Optometrists' decision-making was non-inferior to ophthalmologists' with respect to the pre-specified limit of 10% absolute difference (0.298 on the odds scale). Frequencies of sight-threatening errors were similar for optometrists and ophthalmologists [57/994 (5.7%) vs. 62/994 (6.2%), OR 0.93, 95% CI 0.55 to 1.57; p = 0.789]. Ophthalmologists assessed lesion components as present less often than optometrists and were more confident about their lesion classifications than optometrists. The mean care-pathway cost for assessment was very similar by group, namely £397.33 for ophthalmologists and £410.78 for optometrists. The optometrist-led monitoring reviews were slightly more costly and less effective than ophthalmologist-led reviews, although the differences were extremely small. There was consensus that optometrist-led monitoring has the potential to reduce clinical workload and be more patient-centred. However, potential barriers are ophthalmologists' perceptions of optometrists' competence, the need for clinical training, the ability of the professions to work collaboratively and the financial feasibility of shared care for Clinical Commissioning Groups. CONCLUSIONS: The ability of optometrists to make nAMD retreatment decisions from vignettes is non-inferior to that of ophthalmologists. Various barriers to implementing shared cared for nAMD were identified. FUTURE WORK RECOMMENDATIONS: The Effectiveness, cost-effectiveness and acceptability of Community versus Hospital Eye Service follow-up for patients with neovascular age-related macular degeneration with quiescent disease (ECHoES) study web application was robust and could be used for future training or research. The benefit of reducing HES workload was not considered in the economic evaluation. A framework of programme budgeting and marginal analysis could explicitly explore the resource implications of shifting resources within a given health service area, as the benefit of reducing HES workload was not considered in the economic evaluation. Future qualitative research could investigate professional differences of opinion that were identified in multidisciplinary focus groups. TRIAL REGISTRATION: Current Controlled Trials ISRCTN07479761. FUNDING: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 20, No. 80. See the NIHR Journals Library website for further project information.

Effectiveness of Community versus Hospital Eye Service follow-up for patients with neovascular age-related macular degeneration with quiescent disease (ECHoES): a virtual non-inferiority trial.

OBJECTIVES: To compare the ability of ophthalmologists versus optometrists to correctly classify retinal lesions due to neovascular age-related macular degeneration (nAMD). DESIGN: Randomised balanced incomplete block trial. Optometrists in the community and ophthalmologists in the Hospital Eye Service classified lesions from vignettes comprising clinical information, colour fundus photographs and optical coherence tomographic images. Participants' classifications were validated against experts' classifications (reference standard). SETTING: Internet-based application. PARTICIPANTS: Ophthalmologists with experience in the age-related macular degeneration service; fully qualified optometrists not participating in nAMD shared care. INTERVENTIONS: The trial emulated a conventional trial comparing optometrists' and ophthalmologists' decision-making, but vignettes, not patients, were assessed. Therefore, there were no interventions and the trial was virtual. Participants received training before assessing vignettes. MAIN OUTCOME MEASURES: Primary outcome-correct classification of the activity status of a lesion based on a vignette, compared with a reference standard. Secondary outcomes-potentially sight-threatening errors, judgements about specific lesion components and participants' confidence in their decisions. RESULTS: In total, 155 participants registered for the trial; 96 (48 in each group) completed all assessments and formed the analysis population. Optometrists and ophthalmologists achieved 1702/2016 (84.4%) and 1722/2016 (85.4%) correct classifications, respectively (OR 0.91, 95% CI 0.66 to 1.25; p=0.543). Optometrists' decision-making was non-inferior to ophthalmologists' with respect to the prespecified limit of 10% absolute difference (0.298 on the odds scale). Optometrists and ophthalmologists made similar numbers of sight-threatening errors (57/994 (5.7%) vs 62/994 (6.2%), OR 0.93, 95% CI 0.55 to 1.57; p=0.789). Ophthalmologists assessed lesion components as present less often than optometrists and were more confident about their classifications than optometrists. CONCLUSIONS: Optometrists' ability to make nAMD retreatment decisions from vignettes is not inferior to ophthalmologists' ability. Shared care with optometrists monitoring quiescent nAMD lesions has the potential to reduce workload in hospitals. TRIAL REGISTRATION NUMBER: ISRCTN07479761; pre-results registration.

Uptake of breast screening is influenced by current religion and religion of upbringing.

Research has shown that individuals with a current religious affiliation are more likely to use preventive health services. The aim of this study was to determine whether breast screening uptake in Northern Ireland is higher amongst women with a current affiliation to an organised religion and, for those with no current affiliation, to examine whether their religion of upbringing is associated with uptake of breast screening. The Northern Ireland Longitudinal Study (NILS) was used to link Census and national breast screening data for 37,211 women invited for routine breast screening between 2001 and 2004. Current religious affiliation, religion of upbringing and other demographic and socio-economic characteristics were as defined on the Census form. Multivariate logistic regression was used to determine the relationship between religion affiliation and attendance. Uptake of breast screening is about 25% lower for those without a current religious affiliation. There are modest differences between Catholics and Protestants, with the latter about 11% more likely to attend for screening. For those with no current religion, the religion of upbringing appears to positively influence attendance rates. These differences remain after adjustment for all of the socio-demographic and socio-economic factors that have been shown to influence uptake rates of breast screening in the UK to date. Record linkage is an efficient way to examine equity across demographic characteristics that are not routinely available. The lower uptake amongst those with no religious affiliation may mean that screening services may find it difficult to maintain or improve uptake rate in an increasingly secularised society.

Using record linkage to monitor equity and variation in screening programmes.

BACKGROUND: Ecological or survey based methods to investigate screening uptake rates are fraught with many limitations which can be circumvented by record linkage between Census and health services datasets using variations in breast screening attendance as an exemplar. The aim of this current study is to identify the demographic, socio-economic factors associated with uptake of breast screening. METHODS: Record linkage study: combining 2001 Census data within the Northern Ireland Longitudinal Study (NILS) with data relating to validated breast screening histories from the National Breast Screening System. A cohort was identified of 37,059 women aged 48-64 at the Census who were invited for routine breast screening in the three years following the Census. All cohort attributes were as recorded on the Census form. RESULTS: The record linkage methodology enabled the records of almost 40,000 of those invited for screening to be analysed at an individual level, exceeding the largest published survey by a factor of ten. This produced a more robust analysis and demonstrated (in fully adjusted models) the lower uptake amongst non-married women and those in the lowest social class (OR 0.74; 95%CI 0.66, 0.82), factors that had not been reported earlier in the UK. In addition, with the availability of both individual and area information it was possible to show that the much lower screening uptake in urban areas is not due to differences in population composition suggesting unrecognised organisational problems. CONCLUSIONS: Linkage of screening data to Census-based longitudinal studies is an efficient and powerful way to increase the evidence base on sources of variation in screening uptake within the UK.

Potentially inappropriate prescribing and cost outcomes for older people: a cross-sectional study using the Northern Ireland Enhanced Prescribing Database.

PURPOSE: We sought to estimate the prevalence of potentially inappropriate prescribing (PIP) in the Northern Ireland (NI) population aged ≥70 years, to investigate factors associated with PIP and to calculate total gross cost of PIP. METHODS: A retrospective cross-sectional population study was carried out in those aged ≥70 years in 2009/2010 who were in primary care in NI. Data were extracted from the Enhanced Prescribing Database, which provides details of prescribed and dispensed medications for each individual registered with a general practitioner. Twenty-eight PIP indicators from the Screening Tool of Older Persons potentially inappropriate Prescriptions (STOPP) criteria were applied to these data. PIP prevalence according to individual STOPP criteria and the overall prevalence of PIP were estimated. The relationship between PIP and polypharmacy, age and gender was examined using logistic regression. Gross cost of PIP was ascertained. RESULTS: The overall prevalence of PIP in the study population (n = 166,108) was 34 %. The most common examples of PIP identified were proton pump inhibitors at maximum therapeutic dose for >8 weeks (17,931 patients, 11 %), non-steroidal anti-inflammatory drugs >3 months (14,545 patients, 9 %) and long-term long-acting benzodiazepines (10,147 patients, 6 %). PIP was strongly associated with polypharmacy, with those receiving seven different medications being fivefold more likely to be exposed to PIP than those on zero to three medications (odds ratio 5.04, 95 % confidence interval 4.84-5.25) The gross cost of PIP was estimated to be 6,098,419 CONCLUSIONS: Consistent with other research, the prevalence of PIP was high among the study cohort, increased with polypharmacy and was associated with significant cost.

Are caregiving responsibilities associated with non-attendance at breast screening?

BACKGROUND: Previous research showed that deprived individuals are less likely to attend breast screening and those providing intense amounts of informal care tend to be more deprived than non-caregivers. The aim of this study was to examine the relationship between informal caregiving and uptake of breast screening and to determine if socio-economic gradients in screening attendance were explained by caregiving responsibilities. METHODS: A database of breast screening histories was linked to the Northern Ireland Longitudinal Study, which links information from census, vital events and health registration datasets. The cohort included women aged 47 - 64 at the time of the census eligible for breast screening in a three-year follow-up period. Cohort attributes were recorded at the Census. Multivariate logistic regression was used to examine the relationship between informal caregiving and uptake of screening using STATA version 10. RESULTS: 37,211 women were invited for breast screening of whom 27,909 (75%) attended; 23.9% of the cohort were caregivers. Caregivers providing <20 hours of care/week were more affluent, while those providing >50 hours/week were more deprived than non-caregivers. Deprived women were significantly less likely to attend breast screening; however, this was not explained by caregiving responsibilities as caregivers were as likely as non-caregivers to attend (Odds Ratio 0.97; 95% confidence intervals 0.88, 1.06). CONCLUSIONS: While those providing the most significant amounts of care tended to be more deprived, caregiving responsibilities themselves did not explain the known socio-economic gradients in breast screening attendance. More work is required to identify why more deprived women are less likely to attend breast screening.

Religious affiliation and mortality in Northern Ireland: beyond Catholic and Protestant.

There has been little recent research in Europe exploring the relationship between religion and health. In Northern Ireland previous analysis has tended to divide the population dichotomously as Catholic and Protestant, ignoring the diversity inherent in the Protestant community. This study used a census-based longitudinal study of the enumerated population with five-years follow-up (covering the period 2001-2006) to examine variation in overall and cause-specific mortality by religious affiliation within Northern Ireland. Six groups were defined: Catholics; Presbyterians; Church of Ireland; Methodists; Other (mostly fundamentalist) Christians; and 'Other/not-stated'. Catholics had higher mortality than non-Catholics, though this disappeared after adjustment for socio-economic status. Church of Ireland members had the highest overall mortality in the fully adjusted models, due to their higher risk of cardiovascular disease. 'Other Christians' had lowest all-cause mortality and particularly low mortality from alcohol-related deaths and lung cancer. These findings point to an association between religious affiliation, behaviour and lifestyle suggesting that, even in relatively secular societies, it is a population attribute that should be given more consideration in studies of population health.

Urban and rural variations in morbidity and mortality in Northern Ireland.

BACKGROUND: From a public health perspective and for the appropriate allocation of resources it is important to understand the differences in health between areas. This paper examines the variations in morbidity and mortality between urban and rural areas. METHODS: This is a cohort study looking at morbidity levels of the population of Northern Ireland at the time of the 2001 census, and subsequent mortality over the following four years. Individual characteristics including demographic and socio-economic factors were as recorded on census forms. The urban-rural nature of residence was based on census areas (average population c1900) classified into eight settlement bands, ranging from cities to rural settlements with populations of less than 1000. RESULTS: The study shows that neither tenure nor car availability are unbiased measures of deprivation in the urban-rural context. There is no indication that social class is biased. There was an increasing gradient of poorer health from rural to urban areas, where mortality rates were about 22% (95% Confidence Intervals 19%-25%) higher than the most rural areas. Differences in death rates between rural and city areas were evident for most of the major causes of death but were greatest for respiratory disease and lung cancer. Conversely, death rates in the most rural areas were higher in children and adults aged less than 20. CONCLUSION: Urban areas appear less healthy than the more rural areas and the association with respiratory disease and lung cancer suggests that pollution may be a factor. Rural areas however, have higher death rates amongst younger people, something which requires further research. There is also a need for additional indicators of deprivation that have equal meaning in urban and rural areas.