Jin-Xi Yuan, Marian McGowan, Irene Hadjikoumi, Buddhi Pant
{"title":"Do children with neurological disabilities use more inpatient resources: an observational study.","authors":"Jin-Xi Yuan, Marian McGowan, Irene Hadjikoumi, Buddhi Pant","doi":"10.1186/s12982-017-0059-1","DOIUrl":"https://doi.org/10.1186/s12982-017-0059-1","url":null,"abstract":"<p><strong>Background: </strong>Advances in healthcare have improved the survival of children with neurological disabilities (ND). Studies in the US have shown that children with ND use a substantial proportion of resources in children's hospitals, however, little research has been conducted in the UK. We aimed to test the hypothesis that children with neurological disabilities use more inpatient resources than children without neurological disabilities, and to quantify any significant differences in resource use.</p><p><strong>Methods: </strong>A retrospective observational study was conducted, looking at the number of hospital admissions, total inpatient days and the reason for admissions for paediatric inpatients from January 1st to March 31st 2015. Inpatients were assigned into one of three groups: children without ND, children with one ND, and children with more than one ND.</p><p><strong>Results: </strong>The sample population included 942 inpatients (mean age 6y 6mo). Children with at least one ND accounted for 15.3% of the inpatients, 17.7% of total hospital inpatient admission episodes, and 27.8% of the total inpatients days. Neurological disability had a statistically significant effect on total hospital admissions (<i>p</i> < 0.001). Neurological disability also had a statistically significant effect on total inpatient days (<i>p</i> < 0.001). Neurological disability increased the length of inpatient stay across medicine, specialties, and surgery.</p><p><strong>Conclusions: </strong>Children with ND had more frequent hospital admission episode and longer inpatient stays. We identified a smaller group within this population, with arguably more complex neurological disabilities, children with more than one ND. This group had the highest number of admissions and longest inpatient stays. More frequent hospital admissions and longer inpatient stays may place children with ND at greater risk of the adverse effects of hospitalisations. We recommend further investigations looking at each the effects of the different categories of ND on inpatient resource use, and repeat of this study at a national level and over a longer period of time.</p>","PeriodicalId":39896,"journal":{"name":"Emerging Themes in Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2017-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12982-017-0059-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34962162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nicole Rübsamen, Manas K Akmatov, Stefanie Castell, André Karch, Rafael T Mikolajczyk
{"title":"Comparison of response patterns in different survey designs: a longitudinal panel with mixed-mode and online-only design.","authors":"Nicole Rübsamen, Manas K Akmatov, Stefanie Castell, André Karch, Rafael T Mikolajczyk","doi":"10.1186/s12982-017-0058-2","DOIUrl":"https://doi.org/10.1186/s12982-017-0058-2","url":null,"abstract":"<p><strong>Background: </strong>Increasing availability of the Internet allows using only online data collection for more epidemiological studies. We compare response patterns in a population-based health survey using two survey designs: mixed-mode (choice between paper-and-pencil and online questionnaires) and online-only design (without choice).</p><p><strong>Methods: </strong>We used data from a longitudinal panel, the Hygiene and Behaviour Infectious Diseases Study (HaBIDS), conducted in 2014/2015 in four regions in Lower Saxony, Germany. Individuals were recruited using address-based probability sampling. In two regions, individuals could choose between paper-and-pencil and online questionnaires. In the other two regions, individuals were offered online-only participation. We compared sociodemographic characteristics of respondents who filled in all panel questionnaires between the mixed-mode group (n = 1110) and the online-only group (n = 482). Using 134 items, we performed multinomial logistic regression to compare responses between survey designs in terms of type (missing, \"do not know\" or valid response) and ordinal regression to compare responses in terms of content. We applied the false discovery rates (FDR) to control for multiple testing and investigated effects of adjusting for sociodemographic characteristic. For validation of the differential response patterns between mixed-mode and online-only, we compared the response patterns between paper and online mode among the respondents in the mixed-mode group in one region (n = 786).</p><p><strong>Results: </strong>Respondents in the online-only group were older than those in the mixed-mode group, but both groups did not differ regarding sex or education. Type of response did not differ between the online-only and the mixed-mode group. Survey design was associated with different content of response in 18 of the 134 investigated items; which decreased to 11 after adjusting for sociodemographic variables. In the validation within the mixed-mode, only two of those were among the 11 significantly different items. The probability of observing by chance the same two or more significant differences in this setting was 22%.</p><p><strong>Conclusions: </strong>We found similar response patterns in both survey designs with only few items being answered differently, likely attributable to chance. Our study supports the equivalence of the compared survey designs and suggests that, in the studied setting, using online-only design does not cause strong distortion of the results.</p>","PeriodicalId":39896,"journal":{"name":"Emerging Themes in Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2017-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12982-017-0058-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34856463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimating the prevalence of dementia using multiple linked administrative health records and capture-recapture methodology.","authors":"Michael Waller, Gita D Mishra, Annette J Dobson","doi":"10.1186/s12982-017-0057-3","DOIUrl":"https://doi.org/10.1186/s12982-017-0057-3","url":null,"abstract":"<p><strong>Background: </strong>Obtaining population-level estimates of the incidence and prevalence of dementia is challenging due to under-diagnosis and under-reporting. We investigated the feasibility of using multiple linked datasets and capture-recapture techniques to estimate rates of dementia among women in Australia.</p><p><strong>Methods: </strong>This work is based on the Australian Longitudinal Study on Women's Health. A random sample of 12,432 women born in 1921-1926 was recruited in 1996. Over 16 years of follow-up records of dementia were obtained from five sources: three-yearly self-reported surveys; clinical assessments for aged care assistance; death certificates; pharmaceutical prescriptions filled; and, in three Australian States only, hospital in-patient records.</p><p><strong>Results: </strong>A total of 2534 women had a record of dementia in at least one of the data sources. The aged care assessments included dementia records for 79.3% of these women, while pharmaceutical data included 34.6%, death certificates 31.0% and survey data 18.5%. In the States where hospital data were available this source included dementia records for 55.8% of the women. Using capture-recapture methods we estimated an additional 728 women with dementia had not been identified, increasing the 16 year prevalence for the cohort from 20.4 to 26.0% (95% confidence interval [CI] 25.2, 26.8%).</p><p><strong>Conclusions: </strong>This study demonstrates that using routinely collected health data with record linkage and capture-recapture can produce plausible estimates for dementia prevalence and incidence at a population level.</p>","PeriodicalId":39896,"journal":{"name":"Emerging Themes in Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2017-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12982-017-0057-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34784339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Bach, S. Jordan, Susanne Hartung, C. Santos-Hövener, M. Wright
{"title":"Participatory epidemiology: the contribution of participatory research to epidemiology","authors":"M. Bach, S. Jordan, Susanne Hartung, C. Santos-Hövener, M. Wright","doi":"10.1186/s12982-017-0056-4","DOIUrl":"https://doi.org/10.1186/s12982-017-0056-4","url":null,"abstract":"","PeriodicalId":39896,"journal":{"name":"Emerging Themes in Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2017-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12982-017-0056-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46149110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Madden, Xia Li, P. Kearney, K. Tilling, A. Fitzgerald
{"title":"Exploring diurnal variation using piecewise linear splines: an example using blood pressure","authors":"J. Madden, Xia Li, P. Kearney, K. Tilling, A. Fitzgerald","doi":"10.1186/s12982-017-0055-5","DOIUrl":"https://doi.org/10.1186/s12982-017-0055-5","url":null,"abstract":"","PeriodicalId":39896,"journal":{"name":"Emerging Themes in Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2017-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12982-017-0055-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42874047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Parameters associated with design effect of child anthropometry indicators in small-scale field surveys","authors":"E. Hulland, C. Blanton, Eva Leidman, O. Bilukha","doi":"10.1186/s12982-016-0054-y","DOIUrl":"https://doi.org/10.1186/s12982-016-0054-y","url":null,"abstract":"","PeriodicalId":39896,"journal":{"name":"Emerging Themes in Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2016-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12982-016-0054-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65723548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mathias Altmann, C. Fermanian, B. Jiao, Chiara Altare, Martin Loada, M. Myatt
{"title":"Nutrition surveillance using a small open cohort: experience from Burkina Faso","authors":"Mathias Altmann, C. Fermanian, B. Jiao, Chiara Altare, Martin Loada, M. Myatt","doi":"10.1186/s12982-016-0052-0","DOIUrl":"https://doi.org/10.1186/s12982-016-0052-0","url":null,"abstract":"","PeriodicalId":39896,"journal":{"name":"Emerging Themes in Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2016-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12982-016-0052-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65723500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anna Brown, Oksana Kirichek, Angela Balkwill, Gillian Reeves, Valerie Beral, Cathie Sudlow, John Gallacher, Jane Green
{"title":"Comparison of dementia recorded in routinely collected hospital admission data in England with dementia recorded in primary care.","authors":"Anna Brown, Oksana Kirichek, Angela Balkwill, Gillian Reeves, Valerie Beral, Cathie Sudlow, John Gallacher, Jane Green","doi":"10.1186/s12982-016-0053-z","DOIUrl":"10.1186/s12982-016-0053-z","url":null,"abstract":"<p><strong>Background: </strong>Electronic linkage of UK cohorts to routinely collected National Health Service (NHS) records provides virtually complete follow-up for cause-specific hospital admissions and deaths. The reliability of dementia diagnoses recorded in NHS hospital data is not well documented.</p><p><strong>Methods: </strong>For a sample of Million Women Study participants in England we compared dementia recorded in routinely collected NHS hospital data (Hospital Episode Statistics: HES) with dementia recorded in two separate sources of primary care information: a primary care database [Clinical Practice Research Datalink (CPRD), n = 340] and a survey of study participants' General Practitioners (GPs, n = 244).</p><p><strong>Results: </strong>Dementia recorded in HES fully agreed both with CPRD and with GP survey data for 85% of women; it did not agree for 1 and 4%, respectively. Agreement was uncertain for the remaining 14 and 11%, respectively; and among those classified as having uncertain agreement in CPRD, non-specific terms compatible with dementia, such as 'memory loss', were recorded in the CPRD database for 79% of the women. Agreement was significantly better (p < 0.05 for all comparisons) for women with HES diagnoses for Alzheimer's disease (95 and 94% agreement with any dementia for CPRD and GP survey, respectively) and for vascular dementia (88 and 88%, respectively) than for women with a record only of dementia not otherwise specified (70 and 72%, respectively). Dementia in the same woman was first mentioned an average 1.6 (SD 2.6) years earlier in primary care (CPRD) than in hospital (HES) data. Age-specific rates for dementia based on the hospital admission data were lower than the rates based on the primary care data, but were similar if the delay in recording in HES was taken into account.</p><p><strong>Conclusions: </strong>Dementia recorded in routinely collected NHS hospital admission data for women in England agrees well with primary care records of dementia assessed separately from two different sources, and is sufficiently reliable for epidemiological research.</p>","PeriodicalId":39896,"journal":{"name":"Emerging Themes in Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2016-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5084368/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65723535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Hussain-Alkhateeb, M. Petzold, M. Collinson, S. Tollman, K. Kahn, P. Byass
{"title":"Effects of recall time on cause-of-death findings using verbal autopsy: empirical evidence from rural South Africa","authors":"L. Hussain-Alkhateeb, M. Petzold, M. Collinson, S. Tollman, K. Kahn, P. Byass","doi":"10.1186/s12982-016-0051-1","DOIUrl":"https://doi.org/10.1186/s12982-016-0051-1","url":null,"abstract":"","PeriodicalId":39896,"journal":{"name":"Emerging Themes in Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2016-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12982-016-0051-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65723485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel A Sprague, Caroline Jeffery, Nadine Crossland, Thomas House, Gareth O Roberts, William Vargas, Joseph Ouma, Stephen K Lwanga, Joseph J Valadez
{"title":"Assessing delivery practices of mothers over time and over space in Uganda, 2003-2012.","authors":"Daniel A Sprague, Caroline Jeffery, Nadine Crossland, Thomas House, Gareth O Roberts, William Vargas, Joseph Ouma, Stephen K Lwanga, Joseph J Valadez","doi":"10.1186/s12982-016-0049-8","DOIUrl":"https://doi.org/10.1186/s12982-016-0049-8","url":null,"abstract":"<p><strong>Background: </strong>It is well known that safe delivery in a health facility reduces the risks of maternal and infant mortality resulting from perinatal complications. What is less understood are the factors associated with safe delivery practices. We investigate factors influencing health facility delivery practices while adjusting for multiple other factors simultaneously, spatial heterogeneity, and trends over time.</p><p><strong>Methods: </strong>We fitted a logistic regression model to Lot Quality Assurance Sampling (LQAS) data from Uganda in a framework that considered individual-level covariates, geographical features, and variations over five time points. We accounted for all two-covariate interactions and all three-covariate interactions for which two of the covariates already had a significant interaction, were able to quantify uncertainty in outputs using computationally intensive cluster bootstrap methods, and displayed outputs using a geographical information system. Finally, we investigated what information could be predicted about districts at future time-points, before the next LQAS survey is carried out. To do this, we applied the model to project a confidence interval for the district level coverage of health facility delivery at future time points, by using the lower and upper end values of known demographics to construct a confidence range for the prediction and define priority groups.</p><p><strong>Results: </strong>We show that ease of access, maternal age and education are strongly associated with delivery in a health facility; after accounting for this, there remains a significant trend towards greater uptake over time. We use this model together with known demographics to formulate a nascent early warning system that identifies candidate districts expected to have low prevalence of facility-based delivery in the immediate future.</p><p><strong>Conclusions: </strong>Our results support the hypothesis that increased development, particularly related to education and access to health facilities, will act to increase facility-based deliveries, a factor associated with reducing perinatal associated mortality. We provide a statistical method for using inexpensive and routinely collected monitoring and evaluation data to answer complex epidemiology and public health questions in a resource-poor setting. We produced a model based on this data that explained the spatial distribution of facility-based delivery in Uganda. Finally, we used this model to make a prediction about the future priority of districts that was validated by monitoring and evaluation data collected in the next year.</p>","PeriodicalId":39896,"journal":{"name":"Emerging Themes in Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2016-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12982-016-0049-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34484063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}