Dataset Information

Describing the longitudinal course of major depression using Markov models: data integration across three national surveys.

ABSTRACT:

Background

Most epidemiological studies of major depression report period prevalence estimates. These are of limited utility in characterizing the longitudinal epidemiology of this condition. Markov models provide a methodological framework for increasing the utility of epidemiological data. Markov models relating incidence and recovery to major depression prevalence have been described in a series of prior papers. In this paper, the models are extended to describe the longitudinal course of the disorder.

Methods

Data from three national surveys conducted by the Canadian national statistical agency (Statistics Canada) were used in this analysis. These data were integrated using a Markov model. Incidence, recurrence and recovery were represented as weekly transition probabilities. Model parameters were calibrated to the survey estimates.

Results

The population was divided into three categories: low, moderate and high recurrence groups. The size of each category was approximated using lifetime data from a study using the WHO Mental Health Composite International Diagnostic Interview (WMH-CIDI). Consistent with previous work, transition probabilities reflecting recovery were high in the initial weeks of the episodes, and declined by a fixed proportion with each passing week.

Conclusion

Markov models provide a framework for integrating psychiatric epidemiological data. Previous studies have illustrated the utility of Markov models for decomposing prevalence into its various determinants: incidence, recovery and mortality. This study extends the Markov approach by distinguishing several recurrence categories.

SUBMITTER: Patten SB

PROVIDER: S-EPMC1298330 | biostudies-literature | 2005 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Describing the longitudinal course of major depression using Markov models: data integration across three national surveys.

Patten Scott B SB Lee Robert C RC

Population health metrics 20051115

<h4>Background</h4>Most epidemiological studies of major depression report period prevalence estimates. These are of limited utility in characterizing the longitudinal epidemiology of this condition. Markov models provide a methodological framework for increasing the utility of epidemiological data. Markov models relating incidence and recovery to major depression prevalence have been described in a series of prior papers. In this paper, the models are extended to describe the longitudinal cours ...[more]

PMID: 16288648

Similar Datasets

Project description:BackgroundImproving openness-including candour when things go wrong, and willingness to learn from mistakes-is increasingly seen as a priority in many healthcare systems. This study explores perceptions of openness in England before and after the publication of the Francis report (2013), which examined failings of openness at one English hospital. We examine whether staff and patients' views on openness, and experiences of giving voice to concerns, have changed since the report's publication for better or worse.MethodsOrganisational-level data was collated for all trusts from the NHS National Staff Survey (2007-2017), NHS Acute Inpatient Survey (2004-2016) and NHS Community Mental Health Service User Survey (2007-2017). Survey items related to openness were identified and longitudinal statistical analysis conducted (piecewise growth curve and interrupted latent growth curve analysis) to determine whether there was evidence of a shift in the rate or direction of change following publication of the Francis report.ResultsFor some variables there was a discernible change in trajectory after the publication of the Francis report. Staff survey variables continued to rise after 2013, with a statistically significant increase in rate for "fairness and effectiveness of incident reporting procedures" (from + 0.02 to + 0.06 per year; p < .001). For the patient surveys, the picture was more mixed: patient views about information provided by accident and emergency staff rose from a 0.3% increase per year before 2013 to 0.8% per year afterwards (p < .01), and inpatients being involved in decision making increased from a 0.4% rise per year before 2013 to 0.8% per year afterwards (p < .01); however, there were not rises in the other questions. Mental health patients reported a decrease after 2013 in being listened to (decreasing at a rate of 1.9% per year, p < .001).ConclusionsData suggest that the Francis inquiry may have had a positive impact on staff and acute inpatients' perceptions and experiences of openness in the NHS. However such improvements have not transpired in mental health. How best to create an environment in which patients can discuss their care and raise concerns openly in mental health settings may require further consideration.

Dataset Information

Describing the longitudinal course of major depression using Markov models: data integration across three national surveys.

Background

Methods

Results

Conclusion

Publications

Describing the longitudinal course of major depression using Markov models: data integration across three national surveys.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure