Graphical methods for understanding changes in states: Understanding medication use pathways
Abstract Objectives As epidemiological studies become longer and larger, the field needs novel graphical methods to visualize complex longitudinal data. The aim of this study was to present the Slinkyplot, a longitudinal crosstabulation, to illustrate patterns of antidepressant use in a large prospe...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-12-01
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| Series: | International Journal of Methods in Psychiatric Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/mpr.1932 |
| _version_ | 1828288536106762240 |
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| author | Elizabeth A. Wise Roy J. Adams Constantine G. Lyketsos Jeannie‐Marie Leoutsakos |
| author_facet | Elizabeth A. Wise Roy J. Adams Constantine G. Lyketsos Jeannie‐Marie Leoutsakos |
| author_sort | Elizabeth A. Wise |
| collection | DOAJ |
| description | Abstract Objectives As epidemiological studies become longer and larger, the field needs novel graphical methods to visualize complex longitudinal data. The aim of this study was to present the Slinkyplot, a longitudinal crosstabulation, to illustrate patterns of antidepressant use in a large prospective cohort of older adults with mild cognitive impairment. Methods Data from the National Alzheimer's Coordinating Center are used to track switches between different states and types of antidepressant use. A Slinkyplot is populated with rows representing the state of medication use at each timepoint and columns representing the state at each subsequent visit. Results The constructed Slinkyplots display the common practice of switching on and off different antidepressants over time, with citalopram, sertraline, and bupropion most commonly used followed by switching to another SSRI or SNRI as second‐line treatment. Conclusions Slinkyplots are an innovative graphical means of visualizing complex patterns of transitions between different states over time for large longitudinal studies. |
| first_indexed | 2024-04-13T10:06:07Z |
| format | Article |
| id | doaj.art-3e1b1ad0cd3c48879f622d8a05e9e10d |
| institution | Directory Open Access Journal |
| issn | 1049-8931 1557-0657 |
| language | English |
| last_indexed | 2024-04-13T10:06:07Z |
| publishDate | 2022-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Methods in Psychiatric Research |
| spelling | doaj.art-3e1b1ad0cd3c48879f622d8a05e9e10d2022-12-22T02:51:04ZengWileyInternational Journal of Methods in Psychiatric Research1049-89311557-06572022-12-01314n/an/a10.1002/mpr.1932Graphical methods for understanding changes in states: Understanding medication use pathwaysElizabeth A. Wise0Roy J. Adams1Constantine G. Lyketsos2Jeannie‐Marie Leoutsakos3Department of Psychiatry and Behavioral Sciences Johns Hopkins Bayview and Johns Hopkins University Baltimore Maryland USADepartment of Psychiatry and Behavioral Sciences Johns Hopkins Bayview and Johns Hopkins University Baltimore Maryland USADepartment of Psychiatry and Behavioral Sciences Johns Hopkins Bayview and Johns Hopkins University Baltimore Maryland USADepartment of Psychiatry and Behavioral Sciences Johns Hopkins Bayview and Johns Hopkins University Baltimore Maryland USAAbstract Objectives As epidemiological studies become longer and larger, the field needs novel graphical methods to visualize complex longitudinal data. The aim of this study was to present the Slinkyplot, a longitudinal crosstabulation, to illustrate patterns of antidepressant use in a large prospective cohort of older adults with mild cognitive impairment. Methods Data from the National Alzheimer's Coordinating Center are used to track switches between different states and types of antidepressant use. A Slinkyplot is populated with rows representing the state of medication use at each timepoint and columns representing the state at each subsequent visit. Results The constructed Slinkyplots display the common practice of switching on and off different antidepressants over time, with citalopram, sertraline, and bupropion most commonly used followed by switching to another SSRI or SNRI as second‐line treatment. Conclusions Slinkyplots are an innovative graphical means of visualizing complex patterns of transitions between different states over time for large longitudinal studies.https://doi.org/10.1002/mpr.1932antidepressantsdementiamethodology |
| spellingShingle | Elizabeth A. Wise Roy J. Adams Constantine G. Lyketsos Jeannie‐Marie Leoutsakos Graphical methods for understanding changes in states: Understanding medication use pathways International Journal of Methods in Psychiatric Research antidepressants dementia methodology |
| title | Graphical methods for understanding changes in states: Understanding medication use pathways |
| title_full | Graphical methods for understanding changes in states: Understanding medication use pathways |
| title_fullStr | Graphical methods for understanding changes in states: Understanding medication use pathways |
| title_full_unstemmed | Graphical methods for understanding changes in states: Understanding medication use pathways |
| title_short | Graphical methods for understanding changes in states: Understanding medication use pathways |
| title_sort | graphical methods for understanding changes in states understanding medication use pathways |
| topic | antidepressants dementia methodology |
| url | https://doi.org/10.1002/mpr.1932 |
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