PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 9218985

Population-based care of depression: effective disease management strategies to decrease prevalence.

W Katon·M Von Korff·E Lin·J Unützer·G Simon·E Walker·E Ludman·T Bush
View original source ↗Export metadata ↓

Abstract

This paper reviews the concepts of population-based care and disease management of major depression. Population-based care and disease management strategies motivated by health care reform provide approaches for organizing health services to lower the prevalence of common medical and psychiatric illnesses in primary care populations. We apply these concepts to the organization of services for patients with major depression.

Explore related subjects

Cross-Sectional StudiesDepressive DisorderHealth Maintenance OrganizationsHealth Plan ImplementationHumansIncidenceMass ScreeningPatient Care TeamPopulation SurveillancePrimary Health CareTreatment OutcomeUnited StatesJournal ArticleResearch Support, U.S. Gov't, P.H.S.Review

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

W Katon, M Von Korff, E Lin, J Unützer, G Simon, E Walker, E Ludman, T Bush. 1997. Population-based care of depression: effective disease management strategies to decrease prevalence.. https://doi.org/10.1016/s0163-8343(97)00016-9

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2026

Human pegivirus 1 in healthy blood donors and in acute febrile patients from Mato Grosso, Midwestern Brazil.

The association between Human Pegivirus 1 (HPgV-1, Pegivirus hominis, family Hepaciviridae) with disease etiology remains unclear, yet this virus is widely distributed among people exposed to contaminated blood. This study aimed to identify the prevalence and characterize HPgV-1 genomes obtained from acute febrile patients (n = 92 from 2019) and from blood donors (n = 633 from 2022) sampled in Mato Grosso, Brazil. The serum samples were tested by RT-qPCR for a conserved 5' UTR region of HPgV-1. Nucleic acid of 28 positive samples was converted to ds-cDNA, purified and sequenced with an Illumina NextSeq platform. The prevalence of HPgV-1 among acute febrile patients was 4.35% (4/92), who were mostly female (3/4; 75.00%) mean 28.86 (12-67) years-old; whereas among blood donors it was 3.79% (24/633), which were predominantly male (16/24; 66.67%), aged 30-45 years-old (13/24; 54.17%). Eight HPgV-1 genomic sequences (7,708-9,248) were recovered; two belong to subgenotype 2a and clustered with strains from United States, Brazil, France and Japan, while the remaining six genomes from subgenotype 2b grouped with strains from Pará, Brazil and abroad. HPgV-1 detection in acute febrile patients and in healthy blood donors highlights the necessity to investigate the epidemiological aspects of this infection, as well as the possible impact to public health in Midwestern Brazil.

Cross-Sectional Studies↗
PubMed2026

A cross-sectional study of oxidative stress pathway genotypes and their interactions with environmental pollutant levels identifies associations with gene expression and lung function.

BACKGROUND: Asthma is a heterogeneous disease influenced by genetic and environmental factors. Fine particulate matter (PM2.5) exacerbates asthma, likely through oxidative stress pathways, but whether genetic variation modifies this effect remains unclear. METHODS: We analysed data on 948 adults with asthma from the Severe Asthma Research Program (SARP), linking ZIP-code-level PM2.5 exposure with whole-genome sequencing data. We tested 4337 single nucleotide polymorphisms (SNPs) in 120 oxidative stress pathway genes for gene-environment (GxE) interactions with PM2.5 on lung function (forced expiratory volume in 1 s [FEV1] % predicted) using weighted linear regression. Gene expression data from bronchial epithelial cells (n = 170) were used to assess cis-expression quantitative trait loci (eQTLs). FINDINGS: Higher PM2.5 exposure was associated with lower FEV1% predicted (β per μg/m3 = -0.7, p = 0.01). We identified 20 SNPs across seven genes (OXSR1, PXDN, TPO, LRRK2, APP, MSRA, MSRB2) with significant GxE interactions after multiple-testing correction. Five SNPs were also eQTLs, linking PM2.5-modified gene expression to lung function. Minor alleles in OXSR1 and PXDN were associated with reduced gene expression and worsened FEV1% under high PM2.5 exposure. Conversely, TPO variants were associated with higher baseline expression and lower lung function, but under increasing PM2.5 exposure, minor allele carriers showed suppressed TPO expression and improved FEV1%. INTERPRETATION: This study identified 20 SNPs in oxidative stress pathway genes that modify the effect of PM2.5 on lung function in asthma. These findings highlight the importance of integrating environmental context in genetic studies and suggest potential therapeutic targets for pollution-sensitive asthma phenotypes. FUNDING: Supported by NIH grants.

Cross-Sectional Studies↗
PubMed1999

Explaining variation in hospital admission rates between general practices: cross sectional study.

OBJECTIVES: To quantify the extent of the variation in hospital admission rates between general practices, and to investigate whether this variation can be explained by factors relating to the patient, the hospital, and the general practice. DESIGN: Cross sectional analysis of routine data. SETTING: Merton, Sutton, and Wandsworth Health Authority, which includes areas of inner and outer London. SUBJECTS: 209 136 hospital admissions in 1995-6 in patients registered with 120 general practices in the study area. MAIN OUTCOME MEASURES: Hospital admission rates for general practices for overall, emergency, and elective admissions. RESULTS: Crude admission rates for general practices displayed a twofold difference between the 10th and the 90th centile for all, emergency, and elective admissions. This difference was only minimally reduced by standardising for age and sex. Sociodemographic patient factors derived from census data accounted for 42% of the variation in overall admission rates; 45% in emergency admission rates; and 25% in elective admission rates. There was a strong positive correlation between factors related to deprivation and emergency, but not elective, admission rates, raising questions about equity of provision of health care. The percentage of each practice's admissions to different local hospitals added significantly to the explanation of variation, while the general practice characteristics considered added very little. CONCLUSIONS: Hospital admission rates varied greatly between general practices; this was largely explained by differences in patient populations. The lack of significant factors related to general practice is of little help for the direct management of admission rates, although the effect of sociological rather than organisational practice variables should be explored further. Admission rates should routinely be standardised for differences in patient populations and hospitals used.

Cross-Sectional Studies↗