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Biomedical subjects

A H Leyland

Publications and source records attributed to A H Leyland.

14 recordsLinked to original sources

Social class inequalities in perinatal outcomes: Scotland 1980-2000.

OBJECTIVE: To examine social class inequalities in adverse perinatal events in Scotland between 1980 and 2000 and how these were influenced by other maternal risk factors. DESIGN: Population based study using routine maternity discharge data. SETTING: Scotland. PARTICIPANTS: All women who gave birth to a live singleton baby in Scottish hospitals between 1980 and 2000 (n=1,282,172). MAIN OUTCOME MEASURES: Low birth weight (LBW), preterm birth, and small for gestational age (SGA). RESULTS: The distribution of social class changed over time, with the proportion of mothers with undetermined social class increasing from 3.9% in 1980-84 to 14.8% in 1995-2000. The relative index of inequality (RII) decreased during the 1980s for all outcomes. The RII then increased between the early and late 1990s (LBW from 2.09 (95%CI 1.97, 2.22) to 2.43 (2.29, 2.58), preterm from 1.52 (1.44, 1.61) to 1.75 (1.65, 1.86), and SGA from 2.28 (2.14, 2.42) to 2.49 (2.34, 2.66) respectively). Inequalities were greatest in married mothers, mothers aged over 35, mothers taller than 164 cm, and mothers with a parity of one or more. Inequalities were also greater by the end of the 1990s than at the start of the 1980s for women of parity one or more and for mothers who were not married. CONCLUSION: Despite decreasing during the 1980s, inequalities in adverse perinatal outcomes increased during the 1990s in all strata defined by maternal characteristics.

Adolescent↗

Increasing inequalities in premature mortality in Great Britain.

STUDY OBJECTIVE: To describe inequalities in all cause premature mortality between and within regions of Great Britain and how these inequalities have changed between 1979 and 1998. DESIGN: Retrospective study using routine population and death data aggregated into five year age and sex groups for each of 20 years. SETTING: All 459 local authority districts (England and Wales) and local government districts (Scotland). PARTICIPANTS: Estimated population and registered deaths aged 0-64. MAIN OUTCOME MEASURES: Indirectly standardised mortality ratios for all cause mortality; percentages of deaths that would be avoided if there were no inequalities between and within regions. RESULTS: The decrease in premature mortality of 36% seen in Great Britain ranged from 42% in Wales to 33% in Scotland and 31% in London. Differences between regions led to excess mortality of about 25% in Scotland, the North East, and the North West. In London excess mortality increased from 14% to 19%. Inequalities within regions increased in most parts of Great Britain, the exceptions being Wales, London, and the South West. The largest increase was seen in Scotland where the percentage of excess deaths increased from 23% to 33%. CONCLUSIONS: A decrease in premature mortality in Great Britain was seen in all regions, although less pronounced in London, but the gap between regions remained. Inequalities between districts within regions vary from one region to another and have increased in nearly every part of Great Britain.

Adolescent↗

How did the recent increase in the supply of coronary operations in Finland affect socioeconomic and gender equity in their use?

STUDY OBJECTIVE: To explore how the increased supply of coronary bypass operations and angioplasties from 1988 to 1996 influenced socioeconomic and gender equity in their use. DESIGN: Register based linkage study; information on coronary procedures from the Finnish Hospital Discharge Register in 1988 and 1996 was individually linked to national population censuses in 1970-1995 to obtain patients' socioeconomic data. Data on both hospitalisations and mortality attributable to coronary heart disease obtained from similar linkage schemes were used to approximate the relative need of procedures in socioeconomic groups. SETTING: Finland, 2,094,846 inhabitants in 1988 and 2,401,027 in 1996 aged 40 years and older, and Discharge Register data from all Finnish hospitals offering coronary procedures in 1988 and 1996. MAIN RESULTS: The overall rate of coronary revascularisations in Finland increased by about 140% for men and 250% for women from 1988 to 1996. Over the same period, socioeconomic and gender disparities in operation rates diminished, as did the influence of regional supply of procedures on the extent of these differences. However, men, and better off groups in terms of occupation, education, and family income, continued to receive more operations than women and the worse off with the same level of need. CONCLUSIONS: Although revascularisations in Finland increased 2.5-fold overall, some socioeconomic and gender inequities persisted in the use of cardiac operations relative to need. To improve equity, a further increase of resources may be needed, and practices taking socioeconomic and gender equity into account should be developed for the referral of coronary heart disease patients to hospital investigations.

Adult↗

Using routine data to complement and enhance the results of randomised controlled trials.

BACKGROUND: Randomised controlled trials (RCTs) are widely accepted as the best way to assess the outcomes and safety of medical interventions, but are sometimes not ethical, not feasible, or limited in the generalisability of their results. In such circumstances, routinely available data could help in several ways. Routine data could be used, for example, to conduct 'pseudo-trials', to estimate likely outcomes and required sample size to help design and conduct trials, or to examine whether the expected outcomes observed in an RCT will be realised in the general population. OBJECTIVES: The project was undertaken to explore how routinely assembled hospital data might complement or supplement RCTs to evaluate medical interventions: in contexts where RCTs are not feasible for defining the context and design of an RCT for assessing whether the benefits indicated by RCTs are achieved in wider clinical practice. METHODS: The project was based on the system of linked Scottish morbidity records, which cover 100% of acute hospital care episodes and statutory death records from 1981 to 1995. Three case studies were undertaken as a way of investigating the utility of these records in different applications. First, an attempt was made to analyse the link between the timing of surgery for subarachnoid haemorrhage (SAH) and subsequent outcomes (a question not easily susceptible to RCT design). A subsample was derived by excluding patients for which a diagnosis of SAH may not have been established or that may not have been admitted to a neurosurgical unit, and the data were assessed to attempt to inform the design of a trial of early versus late surgery. Transurethral prostatectomy (TURP), the second case study, has become the surgery of choice for benign prostatic hyperplasia without systematic assessment of its effectiveness and safety, and an RCT would now be considered unethical. However, there is a need to investigate long-term effects and the influence of co-morbidities on outcomes. A retrospective comparison of mortality and re-operation following either open prostatectomy (OPEN) or TURP was, therefore, undertaken. Patients for whom it was not possible to establish the initial procedure were excluded. The third case study compared coronary artery bypass grafting (CABG) with percutaneous transluminal angioplasty (PTCA) for coronary revascularisation. RCTs have been conducted in limited patient subgroups with short follow-up periods. A meta-analysis of RCTs could be augmented by routine data, which are available for large populations. This would allow assessment of subgroup effects, and outcomes over a long period. A subgroup of patients was therefore constructed for whom relevant routine data were available and who reflected the entry criteria for major RCTs, thus enabling a comparison between the results expected from this subgroup and those of the general population. RESULTS AND CONCLUSIONS: The uses of routine data in these contexts had strengths and weaknesses. The SAH study suggested a means of assessing outcomes and survival rates following haemorrhage, which could have value in informing the design of more precise trials and in evaluating changes in outcome following the introduction of new treatments such as embolisation. However, the potential of the data was not realised because their scope and content were insufficient. For example, lack of data on the time of onset of symptoms and patients' conditions at hospital admission made it difficult to establish the link between timing of surgery and the outcome, and there was insufficient information on patients' conditions at discharge to enable a comparison of outcomes. The prostatectomy study was able to address questions not answered by RCT literature because the large number of cases it included allowed exploration of subgroup effects. (ABSTRACT TRUNCATED)

Adult↗

Comparing outcomes of percutaneous transluminal coronary angioplasty with coronary artery bypass grafting; can routine health service data complement and enhance randomized controlled trials?

AIM: To compare outcomes of percutaneous transluminal coronary angioplasty (PTCA) with coronary artery bypass graft surgery (CABG) for a population stemming from routinely collected data, in order to assess the merits of such data sources as a complement, and possible enhancement, to randomized controlled trial results. METHODS AND RESULTS: A population of Scottish patients were taken from a routine discharge summary and from this data source patients comparable to those from randomized controlled trial settings were identified. Between 1989 and 1995, 12 238 pseudo randomized controlled trial patients were identified from the routine data set, of which 3714 (30.3%) received PTCA and 8524 (69.7%) received CABG. The baseline characteristics of the pseudo randomized controlled trial and randomized controlled trial patients were similar. The evidence from both the randomized controlled trials and routine data indicate that for 1 year follow-up the risk of cardiac death and/or non-fatal myocardial infarction is not significantly different between the two treatment groups. CONCLUSION: The outcomes expected of PTCA and CABG following trial evidence have been realized in the routine data which are representative of a complete, non-selective population. Due to the size of the routine data set it would be possible to set up hypotheses for potential subgroup effects at the outset.

Angioplasty, Balloon, Coronary↗

Multilevel modelling of the geographical distributions of diseases.

"Multilevel modelling is used on problems arising from the analysis of spatially distributed health data. We use three applications to demonstrate the use of multilevel modelling in this area. The first concerns small area all-cause mortality rates from Glasgow where spatial autocorrelation between residuals is examined. The second analysis is of prostate cancer cases in Scottish counties where we use a range of models to examine whether the incidence is higher in more rural areas. The third develops a multiple-cause model in which deaths from cancer and cardiovascular disease in Glasgow are examined simultaneously in a spatial model. We discuss some of the issues surrounding the use of complex spatial models and the potential for future developments."

Cause of Death↗

League tables and acute myocardial infarction.

BACKGROUND: Comparison of the outcomes of care provided by hospitals is a growing trend. Outcomes need to be distinguished into those attributable to the practice of hospitals and those that arise from differences in the characteristics of patients and the underlying morbidity of the populations for whom hospitals provide care. We explored these issues for deaths in hospital or within 30 days of discharge after acute myocardial infarction in Scotland, UK. METHODS: We used records from December, 1992, to November, 1993, for 14,359 episodes of acute myocardial infarction, the death records of those who died, and 9391 death records for individuals who died after acute myocardial infarction but who had not been in hospital in the 30 days before death. Hospital discharge records were taken from the Scottish Morbidity Records. The outcomes we investigated were all-cause mortality within 30 days of discharge from hospital, and death from acute myocardial infarction at any time during the study period. We estimated separately effects attributable to patients' characteristics, hospitals, and areas of residence with multilevel modelling. FINDINGS: We found significant differences between hospitals by age, sex, and medical history. The odds ratios for death ranged from 0.62 (95% CI 0.50-0.80) to 1.28 (1.07-1.59), relative to the average performance for Scotland as a whole. Analysis including area of residence, deaths occurring out of hospital, and more detailed information about patients showed no significant differences between hospitals for patients aged 70 years. By postcode area, there was a strong association between out-of-hospital deaths and deaths in hospital or shortly after discharge. INTERPRETATION: Hospital outcomes may vary from one subgroup of patients to another and should be assessed independently of patients' areas of residence. Measures of performance that do not provide valid comparisons could diminish public confidence in hospital services.

Aged↗

Measures of performance in Scottish maternity hospitals.

OBJECTIVE: To develop measures of hospital performance over time with particular reference to maternal and neonatal care by controlling for case mix. DESIGN: Analysis of computerised records of births. SETTING: Scotland, 1980-7. SUBJECTS: Over half a million singleton live births and stillbirths. MAIN OUTCOME MEASURES: Numbers of perinatal deaths and caesarean sections. RESULTS: Scottish maternity hospitals perform more or less equally with regard to perinatal mortality. When caesarean sections are considered, there is evidence that hospitals differ in their treatment of different groups of women; in two examples one hospital had an increased rate among women of parity 2 or more and another had a reduced rate of repeat caesarean section. CONCLUSIONS: Developing measures of performance over time by controlling for case mix is a valid system for monitoring hospital outcomes and activity, and allows comparison either between hospitals or with data for all Scottish maternity hospitals. Hospital profiles permit identification of differences for particular patient groups after allowance is made for other case mix variables.

Adult↗

Multivariate spatial models for event data.

This paper describes how estimates made for event rates in small areas may be enhanced through spatial modelling of the data - taking the geographical location of each area into account - and through the addition of further information from each area. In particular we consider the use of spatial models to predict more than one outcome simultaneously. This is done by writing the spatial model as a multi-level model and subsequently enhancing this to encompass a multivariate data structure; estimates are obtained using iterative generalized least squares in the software package MLwiN. The example given considers mortality due to two causes--neoplasms and circulatory disease--in 143 postcode sectors in Greater Glasgow Health Board, Scotland. In addition, a measure of socio-economic deprivation is available for each area. Correlations between causes within areas, between areas within causes and between areas and causes are quantified, as are the relative contributions of the heterogeneous and spatial parts of the model. The results suggest a tendency for there to be pockets with high mortality rates due to neoplasms, whilst mortality due to circulatory disease follows a much smoother pattern. After taking deprivation into account, the spatial component accounts for just 19 per cent of the variation in the mortality due to neoplasms in Greater Glasgow but 66 per cent of the mortality due to circulatory disease.

Age Factors↗

Examining the relationship between length of stay and readmission rates for selected diagnoses in Scottish hospitals.

Before a meaningful evaluation of the performance of a hospital over any output or outcome can be made, it is essential that the case mix of both that hospital and of its comparison group are standardized. This must extend beyond age and sex to include all pertinent available information relating to the individual which is available in routine data sets. One of the restrictions of analyses made upon such data sets tends to be the paucity of the social and demographic data collected. Census data may be used to provide some detail concerning the localities from which the individual patients are drawn by means of the postcode, and in this manner it may be seen how area characteristics are related to standardized outcomes. Similarly, variables relating to hospital practice or structure may affect the outcomes of individual patients. This forms the basis of a hierarchy, with individuals living within localities being discharged from hospitals; subsequent modelling of the data should take this structure into account. This process is illustrated using discharges from general surgery in Scotland. The data are subdivided into eight homogeneous groups and each is analysed separately using the multilevel modelling software ML3 for both length of stay and readmissions. Using crude figures, there is a slight positive correlation between the two measures at the hospital level. However, the use of hospital residuals from a length-of-stay model as explanatory variables in a model for readmission rates brings to light the negative association between the length of stay and readmissions, and suggests that pressures to reduce hospital lengths of stay may not be without consequences in terms of other outcomes.

Data Interpretation, Statistical↗