INTRODUCTION: Information on follow-up practices after stroke in clinical routine are sparse. We studied the probability of doctor's follow-up within 90, 120, 180, and 365 days after hospital discharge, and how patient characteristics were associated with the probability of follow-up, in a large unselected stroke cohort. PATIENTS AND METHODS: Data on patients living in southern Sweden, hospitalized with acute ischemic stroke or intracerebral hemorrhage 1 January 2008 to 31 December 2010, were obtained from the Swedish stroke register (Riksstroke) and merged with administrative data on doctor's visits during the year following stroke. RESULTS: Complete data were registered in 8164 patients. The cumulative probability of a doctor's follow-up was 76.3% within 90 days, 83.6% within 120 days, 88.7% within 180 days, and 93.1% within 365 days. Using Cox regression calculating hazard ratios (HR), factors associated with 90-day follow-up were: female sex HR = 1.066 (95%CI: 1.014-1.121), age: ages 65-74 HR = 0.928 (95%CI: 0.863-0.999), ages 75-84 HR = 0.943 (95%CI: 0.880-1.011), ages 85 + HR = 0.836 (95%CI: 0.774-0.904), pre-stroke dependency in activities of daily living (ADL): HR = 0.902 (95%CI = 0.819-0.994), prior stroke HR = 0.902 (95%CI: 0.764-0.872), and severe stroke HR = 0.506 (95%CI: 0.407-0.629). In patients discharged to assisted living, the following factors were associated with lower follow-up probability: living alone pre-stroke HR = 0.836 (95%CI: 0.736-0.949), and pre-stroke dependency HR = 0.887 (95%CI: 0.775-0.991). DISCUSSION: This study was based on hospital administrative data of post-stroke doctor's visits, but may be confounded by attendance for other conditions than stroke. CONCLUSIONS: One in four stroke patients was not followed up within three months after hospital discharge. Vulnerable patients with high age, pre-stroke ADL dependency, and prior stroke were less likely to receive doctor's follow-up.
INTRODUCTION: Information on follow-up practices after stroke in clinical routine are sparse. We studied the probability of doctor's follow-up within 90, 120, 180, and 365 days after hospital discharge, and how patient characteristics were associated with the probability of follow-up, in a large unselected stroke cohort. PATIENTS AND METHODS: Data on patients living in southern Sweden, hospitalized with acute ischemic stroke or intracerebral hemorrhage 1 January 2008 to 31 December 2010, were obtained from the Swedish stroke register (Riksstroke) and merged with administrative data on doctor's visits during the year following stroke. RESULTS: Complete data were registered in 8164 patients. The cumulative probability of a doctor's follow-up was 76.3% within 90 days, 83.6% within 120 days, 88.7% within 180 days, and 93.1% within 365 days. Using Cox regression calculating hazard ratios (HR), factors associated with 90-day follow-up were: female sex HR = 1.066 (95%CI: 1.014-1.121), age: ages 65-74 HR = 0.928 (95%CI: 0.863-0.999), ages 75-84 HR = 0.943 (95%CI: 0.880-1.011), ages 85 + HR = 0.836 (95%CI: 0.774-0.904), pre-stroke dependency in activities of daily living (ADL): HR = 0.902 (95%CI = 0.819-0.994), prior stroke HR = 0.902 (95%CI: 0.764-0.872), and severe stroke HR = 0.506 (95%CI: 0.407-0.629). In patients discharged to assisted living, the following factors were associated with lower follow-up probability: living alone pre-stroke HR = 0.836 (95%CI: 0.736-0.949), and pre-stroke dependency HR = 0.887 (95%CI: 0.775-0.991). DISCUSSION: This study was based on hospital administrative data of post-stroke doctor's visits, but may be confounded by attendance for other conditions than stroke. CONCLUSIONS: One in four stroke patients was not followed up within three months after hospital discharge. Vulnerable patients with high age, pre-stroke ADL dependency, and prior stroke were less likely to receive doctor's follow-up.
Entities:
Keywords:
Stroke; cohort; follow-up; stroke organization; transition of care
Authors: Johan S de Koning; Niek S Klazinga; Peter J Koudstaal; Ad Prins; Diederik W J Dippel; Jan Heeringa; Ruud P Kleyweg; Arie Knuistingh Neven; Jan W Van Ree; Gabriel J E Rinkel; Johan P Mackenbach Journal: Prev Med Date: 2004-02 Impact factor: 4.018