PMID- 38476594
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240314
IS  - 1177-889X (Print)
IS  - 1177-889X (Electronic)
IS  - 1177-889X (Linking)
VI  - 18
DP  - 2024
TI  - Resourcefulness Among Initial Ischemic Stroke Patients: A Longitudinal Study of 
      12 Months.
PG  - 565-577
LID - 10.2147/PPA.S448647 [doi]
AB  - OBJECTIVE: To explore distinct longitudinal trajectories of resourcefulness among 
      initial ischemic stroke patients from diagnosis to 12 months, and to identify 
      whether sociodemographic factors, disease-related factors, self-efficacy, family 
      function, and social support can predict patterns in the trajectories of 
      resourcefulness. METHODS: A prospective longitudinal study was conducted. Initial 
      ischemic stroke patients who met inclusion and exclusion criteria were followed 
      up when still in hospital (Preparing for discharge, Baseline, T1), at 1 month 
      (T2), at 3 months (T3), at 6 months (T4), at 9 months (T5) and 12 months (T6) (+/-1 
      week) after discharge. General information, National Institute of Health Stroke 
      Scale (NIHSS), Modified Rankin Scale (mRS), General Self-Efficacy Scale (GSES), 
      General Family Functioning Subscale (FAD-GF), and Social Support Rate Scale 
      (SSRS) were used in T1. The Resourcefulness Scale((c)) was evaluated at 6 time 
      points. Growth mixture modeling was used to identify trajectory patterns of 
      resourcefulness. Logistic regression was used to identify predictors of 
      resourcefulness trajectories. RESULTS: Three longitudinal trajectories of 
      resourcefulness were identified and named as the high-stable class (38.9%, n=71), 
      fluctuation class (41.2%, n=75), and low-stable class (19.9%, n=36), 
      respectively. Dwelling areas (x(2)=6.805, P=0.009), education (x(2)=44.865, 
      P=0.000), monthly income (x(2)=13.063, P=0.001), NIHSS scores (x(2)=44.730, 
      P=0.000), mRS scores (x(2)=51.788, P=0.000), Hcy (x(2)=9.345, P=0.002), GSES 
      (x(2)=56.933, P=0.000), FAD-GF (x(2)=41.305, P=0.000) and SSRS (x(2)=52.373, 
      P=0.000) were found to be statistically significant for distinguishing between 
      different resourcefulness trajectory patterns. Lower education (OR=0.404), higher 
      NIHSS(OR=6.672) scores, and higher mRS(OR=21.418) scores were found to be risk 
      factors for lower resourcefulness, whereas higher education(OR=0.404), 
      GSES(OR=0.276), FAD-GF(OR=0.344), and SSRS(OR=0.358) scores were identified as 
      protective factors enhancing resourcefulness. CONCLUSION: This study obtained 
      three patterns of trajectories and identified their predictive factors in initial 
      ischemic stroke. The findings will assist health care professionals in 
      identifying subgroups of patients and when they may be at risk of low 
      resourcefulness and provide timely targeted intervention to promote 
      resourcefulness.
CI  - (c) 2024 Guo et al.
FAU - Guo, Lina
AU  - Guo L
AUID- ORCID: 0000-0001-9843-6627
AD  - Department of Neurology, National Advanced Stroke Center, the First Affiliated 
      Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
FAU - Zauszniewski, Jaclene A
AU  - Zauszniewski JA
AUID- ORCID: 0000-0002-1707-1193
AD  - Frances Payne Bolton School of Nursing, Case Western Reserve University, 
      Cleveland, OH, USA.
FAU - Zhang, Gege
AU  - Zhang G
AD  - Department of Neurology, National Advanced Stroke Center, the First Affiliated 
      Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
FAU - Lei, Xiaoyu
AU  - Lei X
AD  - Department of Neurology, National Advanced Stroke Center, the First Affiliated 
      Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
FAU - Zhang, Mengyu
AU  - Zhang M
AD  - Department of Neurology, National Advanced Stroke Center, the First Affiliated 
      Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
FAU - Wei, Miao
AU  - Wei M
AD  - Department of Neurology, National Advanced Stroke Center, the First Affiliated 
      Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
FAU - Ma, Keke
AU  - Ma K
AUID- ORCID: 0000-0002-1727-4572
AD  - Department of Neurology, National Advanced Stroke Center, the First Affiliated 
      Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
FAU - Yang, Caixia
AU  - Yang C
AD  - Department of Neurology, National Advanced Stroke Center, the First Affiliated 
      Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
FAU - Liu, Yanjin
AU  - Liu Y
AD  - Department of Nursing, the First Affiliated Hospital of Zhengzhou University, 
      Zhengzhou, Henan, 450052, People's Republic of China.
FAU - Guo, Yuanli
AU  - Guo Y
AUID- ORCID: 0000-0001-6395-7908
AD  - Department of Neurology, National Advanced Stroke Center, the First Affiliated 
      Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
LA  - eng
PT  - Journal Article
DEP - 20240305
PL  - New Zealand
TA  - Patient Prefer Adherence
JT  - Patient preference and adherence
JID - 101475748
PMC - PMC10929218
OTO - NOTNLM
OT  - initial ischemic stroke
OT  - longitudinal study
OT  - nursing care
OT  - predictive factors
OT  - resourcefulness
OT  - social ecology theory
COIS- The authors stated that they have no conflicts of interest in this work.
EDAT- 2024/03/13 06:46
MHDA- 2024/03/13 06:47
PMCR- 2024/03/05
CRDT- 2024/03/13 03:54
PHST- 2023/11/07 00:00 [received]
PHST- 2024/02/26 00:00 [accepted]
PHST- 2024/03/13 06:47 [medline]
PHST- 2024/03/13 06:46 [pubmed]
PHST- 2024/03/13 03:54 [entrez]
PHST- 2024/03/05 00:00 [pmc-release]
AID - 448647 [pii]
AID - 10.2147/PPA.S448647 [doi]
PST - epublish
SO  - Patient Prefer Adherence. 2024 Mar 5;18:565-577. doi: 10.2147/PPA.S448647. 
      eCollection 2024.