Welcome to the Industrial Automation website!

NameDescriptionContent
XING-Automation
E-mail  
Password  
  
Forgot password?
  Register
当前位置:

The application effect of personal and family self-management theory in patients with leukemia

F: | Au:佚名 | DA:2023-12-11 | 696 Br: | 🔊 点击朗读正文 ❚❚ ▶ | Share:

1.4 Statistical Methods

Statistical software SPSS 18.0 was used to analyze the data. The statistical data were represented by percentage %, χ2 test was used, rank sum test was used for rank data, and mean ± standard deviation (±s) was used for measurement data. Independent sample t test was used for comparison between groups, and paired sample t test was used for comparison at different time points within groups. P<0.05 was considered to be statistically significant.

2 Results

2.1 Comparison of SF-36 scores before and after care between the two groups

There was no significant difference in SF-36 scores between the two groups before nursing (P > 0.05). The SF-36 score of the two groups after care was higher than before care (P<0.05), and the SF-36 score of the observation group after care was higher than that of the control group, with statistical significance (P<0.05) (Table 2).

Table 2 Comparison of SF-36 scores before and after care between the two groups (score, ±s)

Compared with this group before nursing, * P<0.05; Compared with the control group after nursing, #P<0.05

2.2 Comparison of SPB after care between the two groups

After nursing, SPB of observation group was better than control group (P<0.05). The mild SPB rate in the observation group was 84.3%, higher than that in the control group (64.7%), and the difference was statistically significant (P<0.05).

Table 3 Comparison of SPB between the two groups [n (%)]

2.3 Comparison of self-management behavior level between the two groups after nursing

After 3 months of nursing, the self-management behavior index level and SRESE total score of the observation group were higher than those of the control group, and the difference was statistically significant (P<0.05).

Table 4 Comparison of self-management behavior levels between the two groups after intervention (score, ±s)

3 Discussion

As a kind of malignant tumor, leukemia has a complicated condition with poor prognosis and is difficult to cure. Chemotherapy is the main treatment method for the disease at present. However, due to its long course of treatment, many toxic and side effects, and high treatment cost, patients generally suffer from economic, psychological, physiological and other aspects of pressure, and often suffer from anxiety, depression and other negative emotions. The sudden onset of the disease not only adversely affects the quality of life of patients, but also may lead to changes in their family status and relationship, and ultimately affect the treatment compliance of patients.

Routine nursing intervention only involves the basic guidance of the patient's disease knowledge, psychology, drug safety and other aspects, and the nursing purpose is poor, the patient is in a completely passive state for a long time, and the dependence is strong, which is not conducive to the continuous nursing after discharge. IFSMT was first proposed by Pyan in the United States in 2009, and is now widely used in prognostic care of various tumors in foreign countries, achieving ideal intervention effects, while there are few clinical nursing reports on this theory in China. IFSMT classifies patients' self-management behavior from the psychological level into three dimensions: context, process and outcome. Context refers to patients' individual information, including gender, education level, family situation and other information, all of which constitute patients' personal rehabilitation background. By establishing self-management teams, patients' personal information is analyzed and communicated. To find out the deep reasons for the weak nursing ability, and start the process from disease-related knowledge education, role transformation and psychological interview, which not only includes group cooperation, but also takes into account the contact between patients and their families. Under the encouragement and guidance of family members and nursing staff, gradually change the coping style and remove the psychological burden, which not only contributes to the closer doctor-patient relationship and kinship relationship. It can also effectively reduce patients' perceived burden. It is more conducive to the construction of hospital - community - family - individual pathway, so that patients can receive health education in an all-round way, improve their treatment initiative, and improve their self-management ability, which is conducive to early discharge.

The results of this study showed that after 3 months of nursing intervention, the self-management ability, emotional mediation ability, self-perceived burden and quality of life in the observation group were more significantly improved than those in the control group (P<0.05), suggesting that the implementation of IFSMQT nursing intervention on the basis of routine nursing was more conducive to the improvement of patients' understanding ability, acceptance ability and thinking ability. To improve health outcomes. Peng Min et al. [15] found that IFSMT targeted care for foot management of patients with type 2 diabetes could improve their self-care ability and prevent the occurrence of diabetic foot.

  • Sigmatek MDD111-1 DIAS Drive Axis Module
  • Sigmatek DKL042 05-024-042 Terminal Module
  • Sigmatek DM822 Control Module
  • Sigmatek CDM167 12-008-167-O Module
  • Sigmatek TAE151 Touch Display Unit
  • Sigmatek DCC041 SLIDES Module 05-700-041-D
  • Sigmatek AKM65M-ANC2GBB0 PM Servo Motor
  • Sigmatek ETT221 01-230-221 Operator Terminal
  • Sigmatek SLIDES DAM 124 Analog Module
  • Sigmatek AKM31C-ANCNGBB0 Servo Motor
  • Mannesmann Demag Sigmatek CP626 Central Unit
  • SIGMATEK 0332.554.03 Board 371071000154
  • SIGMATEK 12-250-021 Base Plate Back Panel CM5V020
  • SIGMATEK DM162 S-DIAS Digital Mix Module
  • DEMAG ERGOTECH 061 381 66 Sigmatek 9842.243.02 Circuit Board
  • SIGMATEK CP313-1 PLC Module
  • Sigmatek ETV0551-2 VARAN Touch Terminal
  • Sigmatek SDM 081 FS S-Dias Safety Module
  • DEMAG 05-250-023 Ergotech Motherboard with Sigmatek TMS012
  • Sigmatek CM5V020 12-250-023-K Wiring Base
  • Sigma Tek 5000B-37 Attitude Gyro Indicator
  • Sigmatek SDD120-2 DIAS Drive
  • Sigmatek CME221 Memory Module
  • Sigmatek DCP640 DIAS Central Unit
  • Sigmatek STO040 Safety Output Module
  • Sigmatek CET281 Control Panel
  • Sigmatek CIPC LX800 Demag NC5 CPU
  • Sigmatek DKL093 05-024-093 Terminal Module
  • Sigmatek AI088 20-009-088 Analog Input Module
  • Sigmatek CAI888 Analog Input Module
  • SIGMATEK CCA021 12-025-021 Analog Output Module
  • SIGMATEK 1104.579.05 Control Module
  • SIGMATEK SDI100 Digital Input Module
  • SIGMATEK C-IPC 256MB LX800 Compact Dias
  • SIGMATEK 9423.090.02 Control Module
  • SIGMATEK C-IPC 256 Power Supply 148498
  • SIGMATEK CAI025 Analog Input Module
  • SIGMATEK CTO166 Digital Output Module
  • SIGMATEK CP112 20-004-112 Processor Module
  • SIGMATEK CAI887 12-009-887 Safety Module
  • Sigma-Tek 4000B-31 Directional Gyro 1U262-002-42
  • Sigmatek C-IPC 256MB LX800 IPC Controller
  • Sigmatek C-IPC 01-450-031 Industrial PC LX800
  • Sigmatek C-IPC 256 Industrial PC Controller
  • Sigmatek CCP-531 PLC Processor Module
  • Sigmatek CDI163 Digital Input Module
  • Sigmatek ETV0501 VARAN Terminal 12-230-0501
  • Sigmatek CTMS020 C-DIAS Technology Module
  • Sigmatek CIV512 VARAN Switch Module
  • Sigmatek HU011 20-080-011 Interface Module
  • SIGMATEK SLIDES DAM 124 Module
  • SIGMATEK C-IPC 161 01-450-161L Industrial PC
  • SIGMATEK C-IPC 128MB VIA 733MHz 01-450-024-K
  • SIGMATEK 12-780-012 R8-IPC Geode LX800 Module
  • SIGMATEK CAM124 Analog Module
  • SIGMATEK S1 032-8AF61-R4 EZ Servo Motor
  • SIGMATEK CTO163 Digital Output Module
  • SIGMATEK CCP082 12-004-082 Processor Module
  • SIGMATEK CRCH081 C-DIAS Temperature Module
  • SIGMATEK PC322-K 01-310-322-K Industrial PC
  • SIGMATEK SDD310-2 Servo Drive
  • SIGMATEK AI084 Analog Input Module
  • SIGMATEK CRCH081 12-752-081 Temperature Module
  • Sigma-Tek 5000L-4 Attitude Gyro 1U284-001-3
  • SIGMATEK CM5V020 12-250-023-K Wiring Module
  • Sigma-Tek 4000H-6 Directional Gyro IU262-035-7
  • SIGMATEK Dias DCP160 05-004-160 Processor Module
  • SIGMATEK 0147.395.02 Control Module
  • SIGMATEK A1084 Control Module
  • SIGMATEK DI200 20-006-2000 Digital Input Module
  • Sigmatek DNC115 Encoder Module
  • Sigmatek DAM122 05-017-122 Analog Module
  • Sigmatek 9802.289.01 Control Board TA71 Display
  • Sigmatek TO127 20-007-127 Digital Output Module
  • Sigmatek DNC031 05-011-031 Digital Module
  • Sigmatek VI022 20-003-022 Interface Module
  • Sigmatek CAI085 Analog Input Module
  • Sigmatek CP111 S-DIAS CPU Module
  • Sigmatek CTMS030 Krauss Maffei Module
  • Sigmatek CAM123 Control Module
  • Sigmatek TAE732-P 01-240-732-P Touch Display Unit
  • Sigmatek MDM021 Digital Mixed Module
  • Sigmatek DCP642 DIAS Central Unit
  • Sigmatek CST022 12-014-022 C-DIAS Module
  • Sigmatek SRO021 20-893-021 Safety Relay Output
  • Krauss Maffei MC5 Control System Sigmatek
  • Sigmatek DC061 Module 18-24VDC 300mA
  • Herrmann EVT0855 Ultrasonic Welder Touch Panel
  • Sigmatek CIV521 Control Module 1.4A 2W
  • Sigmatek DDI61 05-006-161 Digital Input Module
  • SIGMATEK ETT312-E Touch Terminal 01-230-312
  • Cessna S3326-1 Sigma Tek 5000B-67 Gyro 1U149-015-9
  • SIGMATEK PS101 Power Supply Module
  • SIGMATEK 0332.554.03 Control Module 371071000154
  • SIGMATEK ETT312-E Touch Terminal 01-230-312
  • SIGMATEK CDM163 Control Module
  • SIGMATEK VSV046 16-023-046 Module
  • SIGMATEK AM221 20-017-221 Analog Module
  • SIGMATEK CTS051 12-053-051 Control Module
  • SIGMATEK AM221 20-017-221 Analog Module
  • Sigmatek CSDI161 12-891-161 Safety Input Module
  • Sigma Tek 4000C-1 Directional Gyro Indicator
  • Sigmatek ETV0501 12-230-0501 VARAN Terminal
  • Sigmatek DDM165 SLIDES Module
  • Sigmatek N100 20-011-100 Control Module
  • Sigmatek AKM54K-ANC2R-B0 PM Servo Motor
  • Sigmatek CTO166 Digital Output Module
  • Sigmatek CP212-K 20-004-212-K CPU Module
  • Sigmatek CDI161 Digital Input Module
  • Sigmatek DCC080 05-700-080-2 Control Module
  • SIGMATEK SCP011 S-DIAS Safety CPU
  • SIGMATEK SCP011 S-DIAS Safety CPU
  • SIGMATEK SRO022 Relay Output Module
  • SIGMATEK MDD 121 Drive Axis Module
  • SIGMATEK DSI021 SLIDES Siemens Interface
  • SIGMATEK DIAS DCP161 Module 05-004-161
  • Sigmatek ETT312 Built-in Touch Terminal
  • SIGMATEK DCP 643 DIAS Controller System
  • SIGMATEK CIO021 Multi I/O Module
  • SIGMATEK CTMS020 Control Module
  • Sigmatek CME 221 Memory Module
  • Sigmatek 0420.615.01 Control Board
  • Sigmatek CP111 20-004-111 CPU Module
  • Sigmatek 9405.065.03 Control Board
  • Sigmatek ETEK 01-450-032-K C-IPC 256MB Industrial PC
  • Sigmatek CTO163 12-007-163 Safety Output Module
  • Sigmatek TO081 20-007-081 Digital Output Module
  • Sigmatek SI021 20-022-021 Safety Input Module