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 | 587 Br: | 🔊 点击朗读正文 ❚❚ | Share:

Leukemia belongs to hematopoietic stem cell malignant proliferative hematological diseases, patients with fever, anemia, bone and joint pain, and the main treatment means to chemotherapy. However, considering the pain of the disease and the toxic side effects of chemotherapy drugs, the negative impact on the patient's own emotions and psychological aspects, not only is not conducive to the prognosis, but also may lead to a significant reduction in their quality of life, therefore, the nursing intervention of leukemia patients after chemotherapy has attracted widespread attention. In the conventional nursing mode, patients are in a passive state throughout the whole process, with low treatment compliance, and the support of relatives is not taken into account. Based on the theory of individual and family self-management (IFSMT), patients' psychological state and behavior are divided into three stages: situation, process and outcome, and the best prognosis is achieved together with the assistance of family members. It is of great significance to improve the quality of life and self-care ability of patients. This study investigated the self-management effect of leukemia patients with IFSMT and achieved some results, which are reported as follows.

1. Data and methods

1.1 General Information

A total of 102 leukemia patients treated in our hospital from January 2015 to December 2018 were selected as the study objects, and were divided into observation group and control group according to random number table method, with 51 cases in each group. Inclusion criteria: ① Complete clinical data; ② Have normal reading and listening skills; (3) Those who voluntarily sign the informed consent; Age ≥18 years old. Exclusion criteria: ① those who received other interventions during the same period; ② People with consciousness and communication disorders; ③ survival time <6 months; ④ follow-up lost contact, quit midway. This study was reviewed and approved by the hospital Medical Ethics Committee. There was no significant difference in gender, age, course of disease, education level and other general data between the two groups (P > 0.05), which was comparable.

Table 1 Comparison of two sets of general data [n (%)]

1.2 Methods

The control group received routine nursing intervention, including health education, diet guidance, drug safety norms, discharge follow-up, etc. Observation group was given IFSMT intervention on the basis of control group, the specific measures are as follows. ① Establish a self-management intervention group: the intervention group consists of clinicians, psychological counselors and responsible nurses. After the admission of patients, according to their psychological state, education level, family situation and disease development, an individualized nursing plan is formulated, and nurses are trained to deepen the nursing concept of IFSMQT, and patients are taken as the focus of nursing work. ② Create the situation: Through the analysis of various data, determine the main reasons for the lack of patients' self-management ability, and then make targeted remediation, carry out disease-related knowledge classroom education, emotional counseling, role playing, etc. ③ Process: Knowledge education can be unified training, including treatment plans, nursing measures, adverse reaction coping methods, etc. After the completion of education, group interviews can be conducted to understand the existing problems at the present stage and their own needs by asking patients questions, encouraging patients to bravely express their negative emotions in a timely manner, and giving recognition. In the interview, patients can also understand their main role in the family. As well as the impact of the disease on the role, timely communication with their families, the rehabilitation process can allow family members to accompany, strengthen doctor-patient cooperation, but also guide family members to effectively communicate with patients, and create a relaxed and warm rehabilitation atmosphere for them. ④ Outcome: Before discharge, patients were provided with health manuals and asked to pay attention to the wechat public account, which could leave messages for difficult inquiries in time, and relevant personnel answered online within 24 hours. For patients discharged from hospital with deep vein pipes, nursing staff patiently guided them to the correct method, and asked patients to pay attention to the changes of puncture mouth, and timely feedback for reconsultation. Both intervention groups lasted for 3 months.

1.3 Observation indicators and evaluation criteria

① Quality of life [5-6] : Before and after care, the changes in quality of life of the two groups were assessed by using the Quality of Life Scale (SF-36), which included eight dimensions, including physiological function, physiological function, physical pain, physical health, vitality, social function, emotional function and mental health, with a total score of 37 to 155 points, and the higher the score, the better the quality of life. ② Self-management ability: After nursing, self-management behavior scale [7] was used to evaluate patients' self-management behavior from six aspects: psychological factors, life factors, social help, changes in symptoms, understanding of the disease and communication with doctors. The higher the score, the higher the level of self-management behavior. In addition, the patients' self-efficacy was evaluated by using the Emotion Regulation Self-efficacy Scale (SRESE) [8], which included 12 items in three aspects: expressing positive emotions (POS), regulating anger or anger emotions (ANG), and regulating frustration or painful emotions (DES). All of them were scored at 5 levels, with the total score ranging from 0 to 60 points. The higher the score, the better the self-efficacy. ③ Self-perceived burden [9] : The Chinese version of Self-perceived Burden Scale (SPBS) was used to measure the degree of SPB in patients with a total of 10 items, and scored according to 1-5 points. Scores <20 points were classified as no obvious self-burden, scores 20-29 as mild SPB, scores 30-39 as moderate SPB, scores ≥40 as severe SPB. Mild rate = (no obvious + mild) cases/total cases ×100%. Outcome measures: The SF-36 score and SPBS score of the two groups were compared before and after 3 months of care, and the self-management effect of dry prognosis (self-management ability scale, SRESE) was recorded.

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.

In summary, IFSMT can not only significantly improve the self-care ability and self-burden feeling of leukemia patients, but also improve the management effect and quality of life.


  • Basler BE1-59N A5EE1KC0N0F Ground Fault Relay
  • Basler BE1-79A Reclosing Relay
  • Basler BE1-32R E1EA1OA0N0F Reverse Power Relay
  • Basler DCQA-103 DCQC104-1 CMX-7D Circuit Board
  • Basler SSR125-12 Static Regulator 918500102
  • Basler 90 17709 112 Regulator Control Board
  • Basler AVC63-4 AVC634 Voltage Regulator
  • Basler 9 1049 04 100 PC Board Control Module
  • Basler SR4A-2B03B3A Static Voltage Regulator
  • Basler SR8A-2B15B3A Static Voltage Regulator
  • Basler KR7FFX Static Regulator 840V
  • Basler EL200-7 Voltage Regulator 90-660VAC 7A
  • Basler PRP210-1 Reverse Power Relay 9056300102
  • Basler SSR 63-12 Static Regulator 600VAC
  • Basler 9289901106 Digital Board
  • Basler DECS100 Voltage Regulator DECS100A01
  • Basler Electric CEM-2020 Contact Expansion Module
  • Basler Electric BE3-25-1 C1 N4 Synchronizing Check Relay
  • Basler Electric ACA2000-50GM GigE Camera 2MP 50fps
  • Basler Electric ACA2240-20GMSYM GigE Camera Sony IMX264
  • Basler BE1-50G Ground Overcurrent Relay
  • Basler PRS250 Veri-Sync Relay
  • Basler MOC2199 Output Module
  • Basler UFOV 260A Underfrequency Overvoltage Module
  • Basler BE-15482-001 Control Module
  • Basler LSP4-7 Protective Relay
  • Basler SCP 250-G-60 VAR Power Factor Controller
  • Basler BE146N Negative Sequence Overcurrent Relay
  • Basler APR63-5 Automatic Voltage Regulator
  • Basler 9507900107 SR8A Retrofit Voltage Regulator
  • Basler BE1-320 Directional Power Relay
  • Basler KR7F Voltage Regulator 9116200100
  • Basler UFOV 260A Overvoltage Protective Module
  • Basler AEC63-7 Analog Excitation Controller
  • Basler 9992D90G01 Control Module
  • Basler 6966D22G01 Control Board
  • Basler 6965D40G01 Control Board
  • Basler BE1-50/51M-104 Overcurrent Relay
  • Basler BE1-BPR Programmable Breaker Relay
  • BASLER Electric SSR 125-9 1256 00 102 Static Voltage Regulator
  • Basler Electric MVC 112 Manual Voltage Control
  • Basler Electric 9321000102 Control Module
  • Basler Electric RA-70-MDCT7 Rectifier Assembly
  • Basler Electric ACA1300-60GM GigE Camera
  • Basler Electric 6427C85G01 Interface Board
  • Basler Electric 6965D05G01 Control Board
  • Basler Electric ACA2500-14UC Current Transducer
  • Basler Electric 9170206111 Protective Relay
  • Basler Electric BE1-11-G6D1M1J1P0E000 Protection Relay
  • Basler Electric BE1-50/51B-107 Overcurrent Relay
  • Basler 9121000106 Voltage Controller
  • Basler B3E-E1P-A0N0F Solid State Protective Relay
  • Basler 9121000106 Manual Voltage Control
  • Basler PRP320 Motor Pull-out Relay
  • Basler SSE-N 250-9KW Shunt Exciter Regulator
  • Basler BE1-50-51B-107 Overcurrent Relay
  • BASLER ELECTRIC MVC 108 MANUAL VOLTAGE CONTROL MODULE 9 0370 00 102
  • Basler BE1-59N-A7E-D1J-D0N0F Ground Overvoltage Relay
  • Basler BE1-46N-G1E-B8P-B0N0F Negative Sequence Overcurrent Relay
  • Basler BE1-951 Overcurrent Protection System
  • Basler Electric MOC2199 Motor Operated Potentiometer
  • Basler Electric BE1-60 Voltage Balance Solid State Relay B1FA1C1M1F
  • Basler Electric BE1-67N Directional Overcurrent Relay
  • Basler Electric PIA2400-17GM Interface Module
  • Basler Electric V6RAB Rectifier Module
  • Basler Electric BE1-32R Reverse Power Relay B2E E1R A0N1F
  • Basler Electric IFM-150 Firing Circuit Chassis 120V AC
  • Basler Electric IFM-102 Firing Circuit Chassis 120V AC
  • Basler Electric 9170206111 NSNP Control Module
  • Basler Electric SSR 63-12 Static Voltage Regulator
  • Basler UFOV 260A Overvoltage Protective Module
  • Basler SCA1300-32GM CCD Camera Lens Enclosure
  • Basler BA1-27 Under Voltage Relay
  • Basler 149D866G06 Control Board
  • Basler 9072300130 Power Supply Module
  • Basler CBS 305 Current Boost System
  • Basler BE1-60 Voltage Balance Relay
  • Basler Electric CBS 212 Current Boost System Sensing 120/240VAC 50/60Hz 10VA
  • Basler MVC-300 Manual Voltage Control Unit
  • Basler SSR125-12 Static Voltage Regulator 918500102
  • Basler SR32A2B05B3E Static Voltage Regulator
  • Basler Electric BE1-59N Ground Fault Overvoltage Relay
  • Basler Electric 9110000113 Excitation Module
  • Basler Electric 90-72300-114 Control Accessory
  • Basler Electric PRS-250 Protection Relay System
  • Basler Electric BE1-50/51M-109 Overcurrent Relay
  • Basler Electric SR4A1B10B3E Static Voltage Regulator
  • Basler Electric CBS 212 Current Boost System
  • Basler Electric SR32A2B05B3E Static Voltage Regulator
  • Basler Electric MOC2207 Motor Operated Potentiometer
  • Basler Electric SR4A1B05A3E Static Voltage Regulator
  • Basler Electric BE1-32R Power Relay B2EE1PA0N1F
  • Basler BEI-81 Underfrequency Relay
  • Basler CBS 212A Current Boost System
  • Basler SSR 63-12 Static Voltage Regulator
  • Basler DGC-2020 Digital Genset Controller
  • Basler BE1-32 Reverse Power Relay
  • Basler BE1-50/51B-207 Overcurrent Relay
  • Basler BE1-951 Overcurrent Protection System
  • Basler 9073800-103 Power Supply
  • Basler SCA1300-32FC CCD Camera
  • Basler 9073800-103 Power Supply
  • Basler SCA1300-32FC CCD Camera
  • Basler L304KC Protective Relay
  • Basler BE3-25-1S1N4 Time Overcurrent Relay
  • Basler 9032300113 Excitation Support System
  • Basler BE1-59N Ground Overvoltage Relay
  • Basler MVC-300 Manual Voltage Control Unit
  • Basler MOC2102 Potentiometer
  • Basler BE1-87G Generator Differential Relay
  • Basler Electric DECS-200 Digital Excitation Control System
  • Basler Electric DECS 125-15-B2C5 Digital Excitation System
  • Basler Electric PLA2400-12GM Power Supply
  • Basler Electric BE1-50/51B-235 Overcurrent Relay
  • Basler Electric BE1-27/59 Undervoltage Overvoltage Relay
  • Basler Electric CEM-2020 Contact Expansion Module
  • Basler Electric BE1-32R Solid State Power Relay
  • Basler Electric BE1-700 Digital Generator Management Relay
  • Basler Electric BE1-59N Ground Fault Overvoltage Relay
  • Basler Electric BE10493002 Protection Module
  • Basler Electric BEI-79A1AA5CA3M1F Digital Annunciator
  • Basler Electric SSR 32-12 Static Voltage Regulator
  • Basler Electric BE1-CDS240 Current Differential System
  • Basler Electric BE1-67 Directional Overcurrent Relay
  • Basler Electric 9121000106 DECS-100 Voltage Controller
  • Basler Electric BEI-871 Interface Module
  • Basler Electric 8650C72 Exciter Control Module
  • Basler Electric RDP-110-S1 Generator Annunciator