Comparing measures of multimorbidity to predict outcomes in primary care: a cross sectional study.
about
A comparison of the recording of comorbidity in primary and secondary care by using the Charlson Index to predict short-term and long-term survival in a routine linked data cohort.A Practical, Global Perspective on Using Administrative Data to Conduct Intensive Care Unit Research.Multimorbidity, disability, and mortality in community-dwelling older adults.Overcoming cut-off restrictions in multimorbidity prevalence estimates.Predictive risk modelling in the Spanish population: a cross-sectional studyPatterns of HIV, TB, and non-communicable disease multi-morbidity in peri-urban South Africa- a cross sectional study.Why do patients with multimorbidity in England report worse experiences in primary care? Evidence from the General Practice Patient Survey.Patient-doctor continuity and diagnosis of cancer: electronic medical records study in general practiceMultimorbidity and use of hypnotic and anxiolytic drugs: cross-sectional and follow-up study in primary healthcare in Iceland.Association between drug-specific indicators of prescribing quality and quality of drug treatment: a validation study.Socioeconomic status, comorbidity and mortality in patients with type 2 diabetes mellitus in Scotland 2004-2011: a cohort studyA High Sense of Coherence as Protection Against Adverse Health Outcomes in Patients Aged 80 Years and Older.Socio-economic position and childhood multimorbidity: a study using linkage between the Avon Longitudinal Study of Parents and Children and the General Practice Research DatabaseComparison of count-based multimorbidity measures in predicting emergency admission and functional decline in older community-dwelling adults: a prospective cohort study.Determinants of alternate-level-of-care delayed discharge among acute care survivors of hypoxic-ischemic brain injury: a population-based cohort study.Long-term use of proton pump inhibitors and prevalence of disease- and drug-related reasons for gastroprotection-a cross-sectional population-based study.Clinical relevance of the STOPP/START criteria in hip fracture patientsInequalities in receipt of mental and physical healthcare in people with dementia in the UK.The association between co-morbidities and physical performance in people with chronic obstructive pulmonary disease: a systematic review.Development and Validation of a Questionnaire to Assess Multimorbidity in Primary Care: An Indian Experience.Supporting prescribing in older people with multimorbidity and significant polypharmacy in primary care (SPPiRE): a cluster randomised controlled trial protocol and pilot.The First Decade with the Swedish Prescribed Drug Register - A Systematic Review of the Output in the Scientific Literature.Maternal health inequalities and GP provision: investigating variation in consultation rates for women in the Born in Bradford cohort.Emergency department visits in older people: pattern of use, contributing factors, geographical differences and outcomes.Risk of mortality on and off methadone substitution treatment in primary care: a national cohort study.Towards a differentiated capitation system: relation between patient characteristics, contacts and costs.Pattern and severity of multimorbidity among patients attending primary care settings in Odisha, India.Does the impact of case management vary in different subgroups of multimorbidity? Secondary analysis of a quasi-experiment.The dimensions of multiple chronic conditions: where do we go from here? A commentary on the Special Issue of Preventing Chronic Disease.Poor mental health in severely obese patients is not explained by the presence of comorbidities.Patterns of routine primary care for osteoarthritis in the UK: a cross-sectional electronic health records study.Population trends in the incidence and initial management of osteoarthritis: age-period-cohort analysis of the Clinical Practice Research Datalink, 1992-2013.Development and validation of a Medicines Comorbidity Index for older people.Factors associated with ADL/IADL disability in community dwelling older adults in the Irish longitudinal study on ageing (TILDA).Early-life predictors of future multi-morbidity: results from the Hertfordshire Cohort.Examining the prevalence and patterns of multimorbidity in Canadian primary healthcare: a methodologic protocol using a national electronic medical record database.Healthcare use for children with complex needs: using routine health data linked to a multiethnic, ongoing birth cohort.Person-level changes in oxycodone use after the introduction of a tamper-resistant formulation in Australia.The epidemiology of multimorbidity in primary care: a retrospective cohort study.Numeracy and Understanding of Quantitative Aspects of Predictive Models: A Pilot Study
P2860
Q30966972-A172C431-17F6-4873-8B7B-EA7DA022D879Q30978879-7E589708-EE80-41A7-95DF-0CC96795384FQ33609489-91FE674B-154B-49D0-A352-B51B3F0142B5Q34048403-9D7E8756-CC4D-4F87-86E5-974F6B1C40EEQ34803310-4A40FB2A-4C94-4EB9-AF9E-49215778C606Q34989328-1610B062-6425-4B08-95B8-8DCF726FEC18Q35278249-41055A3F-488E-4E6E-8AD1-9AEEB6D3A478Q35534186-EEE5843B-9A54-49C9-814B-877655423D28Q36042579-40FDF94A-6BF4-42DE-A47B-ADBF994B2095Q36592796-4A81E0EE-1D19-4830-B589-EE0956C3BB39Q36968886-F8D3C7A6-4119-4A90-AC60-2AAF7418CA72Q37084055-2029C255-AE02-49A0-8772-4B7AF355F2AEQ37116586-5F345301-337E-4227-B099-FE101B024ACAQ37312497-6521781E-521A-4F4D-8B2D-DF07AD8F8462Q37521031-EA8BC769-C6EB-4B5F-A45C-AFA1980F2987Q37596015-1B27A6DC-D533-4109-A8D6-77A6B7DAD3C0Q37699752-4E3C6CAD-C7C4-4137-91A2-B66065DE76B5Q37735666-D6516727-8588-46E9-8B05-B0C67C1AA6F1Q38178935-09FAE251-F055-492F-808E-07473F497AC0Q38575963-0D62903F-9C87-4499-8A20-C71F471C1E29Q38648396-C22D9ECB-8CD3-46A3-A3F3-68ABDEA7BE23Q38817217-67899729-4BBC-49BF-AC63-F6C8CB53ED6AQ38842230-FD32B229-9828-42B4-8F14-25E6F8E5EE08Q39956455-7CAD3412-CA63-40BC-82FC-1F2276B21A03Q40669150-A96EF7DB-3D48-41B7-A4E7-D09A88544382Q40828680-AF0F4A98-9447-4464-9480-3F2F3C82CC56Q41073175-764E9E05-3231-45C9-B6B5-E9CBADB7B737Q41250673-761C94DC-E1B8-4709-A4A1-52C16111D42AQ43164756-0F383841-15F1-4B01-9CB8-9C39588C349BQ44383834-8F6D8D0D-F3B4-452F-BDB0-D93224FCD802Q47569982-1A5F030B-70A5-437A-B965-ECBB770A0A07Q47601849-B446741C-C09B-4723-B000-B549DB486020Q47999230-954F7993-22E4-4E26-BE18-43415F96937AQ48059134-88D95732-B1D5-42C0-B319-91D8423C50BDQ50041661-B7C9803C-EF79-4307-A8CF-4242654846D0Q51039140-CCC0527F-0652-42DF-B4FF-276BF04CE890Q52360319-B214DE8B-48C6-4906-9090-3F0D902B0EB8Q52629677-1F6416C4-C8B4-470C-B0E9-D9E0CFC7FA4DQ54277577-29FCD0DC-EF91-4868-9014-30B8131B4A28Q57177673-010BE7FD-047E-42D2-B985-2472045DA1C2
P2860
Comparing measures of multimorbidity to predict outcomes in primary care: a cross sectional study.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Comparing measures of multimor ...... care: a cross sectional study.
@ast
Comparing measures of multimor ...... care: a cross sectional study.
@en
type
label
Comparing measures of multimor ...... care: a cross sectional study.
@ast
Comparing measures of multimor ...... care: a cross sectional study.
@en
prefLabel
Comparing measures of multimor ...... care: a cross sectional study.
@ast
Comparing measures of multimor ...... care: a cross sectional study.
@en
P2860
P356
P1433
P1476
Comparing measures of multimor ...... care: a cross sectional study.
@en
P2860
P304
P356
10.1093/FAMPRA/CMS060
P407
P577
2012-10-08T00:00:00Z