Article(id=1241676527943873012, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241676522256388920, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202406380, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1718812800000, receivedDateStr=2024-06-20, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773968353495, onlineDateStr=2026-03-20, pubDate=1731168000000, pubDateStr=2024-11-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773968353495, onlineIssueDateStr=2026-03-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773968353495, creator=13701087609, updateTime=1773968353495, updator=13701087609, issue=Issue{id=1241676522256388920, tenantId=1146029695717560320, journalId=1227665162245664772, year='2024', volume='51', issue='21', pageStart='3841', pageEnd='4032', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773968352140, creator=13701087609, updateTime=1773968629818, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241677686985249701, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241676522256388920, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241677686985249702, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241676522256388920, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=4008, endPage=4014, ext={EN=ArticleExt(id=1241676528417829401, articleId=1241676527943873012, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Analysis of the economic toxicity profile and influencing factors in lung cancer patients in Luzhou city, columnId=1228016569138213037, journalTitle=Modern Preventive Medicine, columnName=Clinical Medicine and Prevention, runingTitle=null, highlight=null, articleAbstract=
Objective

To explore the latent profile categories of economic toxicity in lung cancer patients and their differential characteristics, analyze the relationship between economic toxicity and health-related quality of life, and propose nursing interventions.

Methods

A survey was conducted among 218 lung cancer patients receiving treatment at two tertiary hospitals in Luzhou, Sichuan, using a general information questionnaire, the financial toxicity scale for cancer outcomes, the multidimensional social support scale, and the quality-of-life measurement scale for lung cancer patients. Latent profile analysis of economic toxicity was performed, and influencing factors were examined using univariate analysis and logistic regression. The correlation between economic toxicity and health-related quality of life was analyzed using Pearson correlation coefficients.

Results

A total of 218 lung cancer patients were included, with economic toxicity classified into three categories: moderate economic toxicity risk group (C3), mild economic toxicity group (C2), and no economic toxicity group (C1). Logistic regression results indicated that household savings of >10 000 to 29 999 yuan (OR=28.763, 95%CI: 3.653-226.508), household savings of ≤10 000 yuan (OR=9.753, 95%CI: 2.642-36.003), and loss of employment due to illness (C2 vs. C1: OR=10.763, 95%CI: 2.091-55.394; C3 vs. C1:OR=18.745, 95%CI: 3.579-98.190) were significant influencing factors of economic toxicity in lung cancer patients. Additionally, there was a positive correlation between economic toxicity and overall health-related quality of life scores (r=0.241, P<0.01).

Conclusion

There is significant heterogeneity in the economic toxicity experienced by lung cancer patients. Nurses should develop personalized intervention strategies based on these classification characteristics to identify lung cancer patients at risk of economic toxicity early and alleviate their economic burden, thereby improving their health-related quality of life.

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目的

探讨肺癌患者经济毒性的潜在剖面类别及其差异特征,并分析经济毒性与健康生活质量的关系,提出护理对策。

方法

采取一般信息问卷、癌症报告结局财务毒性量表、多维社会支持量表和肺癌患者生存质量测定量表对四川省泸州市两家三级甲等医院218例接受治疗的肺癌患者进行调查。对肺癌患者经济毒性进行潜在剖面分析,并通过单因素分析和logistic回归分析探讨其影响因素,采用Pearson系数分析肺癌患者经济毒性和健康生活质量的相关性。

结果

共纳入218名肺癌患者,其经济毒性分为3个类别,分别命名为中度经济毒性风险组(C3)、轻度经济毒性组(C2)和无经济毒性组(C1)。Logistic回归结果显示,家庭储蓄>10 000~29 999元(OR=28.763,95%CI:3.653~226.508)、家庭储蓄≤10 000元(OR=9.753,95%CI:2.642~36.003)和因疾病丢失工作(C2 vs. C1:OR=10.763,95%CI:2.091~55.394;C3 vs. C1:OR=18.745,95%CI:3.579~98.190)是肺癌患者经济毒性的影响因素,肺癌患者的经济毒性与健康生活质量总分呈正相关(r=0.241,P<0.01)。

结论

肺癌患者经济毒性存在明显的异质性,护理人员应根据该分类特点制定个性化的干预措施,早期识别存在经济毒性的肺癌患者,减轻肺癌患者经济毒性,从而改善其健康生活质量。

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李利,E-mail:
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王柯鑫(1997—),女,硕士在读,护师,研究方向:护理管理

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Health insurance as a moderator in the relationship between financial toxicity and medical cost-coping behaviors: Evidence from patients with lung cancer in China[J].Cancer Medicine, 2024, 13(1): e6911., articleTitle=Health insurance as a moderator in the relationship between financial toxicity and medical cost-coping behaviors: Evidence from patients with lung cancer in China, refAbstract=null)], funds=[Fund(id=1241821866864739069, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, awardId=2022-SYF-61, language=CN, fundingSource=2022年泸州市科技局重点研发科技计划(面上)项目(2022-SYF-61), fundOrder=null, country=null), Fund(id=1241821866998956807, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, awardId=SMUSS202211, language=CN, fundingSource=2022年度西南医科大学社科联研究课题立项(SMUSS202211), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1241821854969692480, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, xref=1., ext=[AuthorCompanyExt(id=1241821854982275396, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, companyId=1241821854969692480, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Nursing, Southwest Medical University, Luzhou, Sichuan 646099, China), AuthorCompanyExt(id=1241821854994858308, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, companyId=1241821854969692480, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.西南医科大学护理学院,四川 泸州646099)]), AuthorCompany(id=1241821855103910223, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, xref=2., ext=[AuthorCompanyExt(id=1241821855108104527, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, companyId=1241821855103910223, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.西南医科大学附属医院护理部,四川 泸州646000)])], figs=[ArticleFig(id=1241821863614153346, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, language=EN, label=Figure 1, caption=Latent profile of FT in lung cancer patients, figureFileSmall=Ola8d+YIn4VOjuSdB3Zpfw==, figureFileBig=1Im/BTcPz2EHsYKTbiSxEg==, tableContent=null), ArticleFig(id=1241821863744176778, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, language=CN, label=图1, caption=肺癌患者经济毒性的潜在剖面特征, figureFileSmall=Ola8d+YIn4VOjuSdB3Zpfw==, figureFileBig=1Im/BTcPz2EHsYKTbiSxEg==, tableContent=null), ArticleFig(id=1241821863932920473, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, language=EN, label=Table 1, caption=

Total scores of MSPSS, FACT-L and FT in lung cancer patients and their correlation (r value, n=218)

, figureFileSmall=null, figureFileBig=null, tableContent=
项目总分(分,FTMSPSSFACT-L生理功能社会家庭状况情感状况功能状况肺癌相关症状
FT17.86±7.531.000
MSPSS71.66±9.100.0411.000
FACT-L89.83±14.030.241**0.281**1.000
生理功能19.20±3.680.222**0.1000.782**1.000
社会家庭状况17.70±3.570.0780.631**0.324**0.0131.000
情感状况16.78±4.110.275**0.1240.786**0.601**0.0551.000
功能状况10.34±4.000.1140.0040.688**0.461**0.0320.433**1.000
肺癌相关症状25.82±4.880.143*0.162*0.821**0.601**0.1160.567**0.421**1.000
), ArticleFig(id=1241821864071332514, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, language=CN, label=表1, caption=

肺癌患者MSPSS、FACT-L和经济毒性的总分及其相关性(r值,n=218)

, figureFileSmall=null, figureFileBig=null, tableContent=
项目总分(分,FTMSPSSFACT-L生理功能社会家庭状况情感状况功能状况肺癌相关症状
FT17.86±7.531.000
MSPSS71.66±9.100.0411.000
FACT-L89.83±14.030.241**0.281**1.000
生理功能19.20±3.680.222**0.1000.782**1.000
社会家庭状况17.70±3.570.0780.631**0.324**0.0131.000
情感状况16.78±4.110.275**0.1240.786**0.601**0.0551.000
功能状况10.34±4.000.1140.0040.688**0.461**0.0320.433**1.000
肺癌相关症状25.82±4.880.143*0.162*0.821**0.601**0.1160.567**0.421**1.000
), ArticleFig(id=1241821864192967339, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, language=EN, label=Table 2, caption=

Fitting information of FT latent profile model for lung cancer patients

, figureFileSmall=null, figureFileBig=null, tableContent=
类别模型AICBICaBICEntropyLMR (P)BLRT (P)类别概率(%)
16 790.5866 865.0456 795.329
26 108.6176 223.6906 115.9460.8880.024 9<0.00162.39/37.61
35 896.6416 052.3275 906.5570.9140.001 2<0.00146.33/38.99/14.68
45 816.2716 012.5715 828.7740.9430.170 2<0.0018.72/33.49/44.50/13.30
), ArticleFig(id=1241821864289436341, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, language=CN, label=表2, caption=

肺癌患者经济毒性潜在剖面模型的拟合信息

, figureFileSmall=null, figureFileBig=null, tableContent=
类别模型AICBICaBICEntropyLMR (P)BLRT (P)类别概率(%)
16 790.5866 865.0456 795.329
26 108.6176 223.6906 115.9460.8880.024 9<0.00162.39/37.61
35 896.6416 052.3275 906.5570.9140.001 2<0.00146.33/38.99/14.68
45 816.2716 012.5715 828.7740.9430.170 2<0.0018.72/33.49/44.50/13.30
), ArticleFig(id=1241821864440431294, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, language=EN, label=Table 3, caption=

General data of lung cancer patients and single factor analysis of their FT latent profile [n=218, n (%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
特征中度经济毒性(n=101)轻度经济毒性(n=85)无经济毒性(n=32)χ 2P
性别4.589 a0.101
81(80.2)60(70.6)28(87.5)
20(19.8)25(29.4)4(12.5)
年龄(岁)15.631 a<0.001
≤6579(78.2)43(50.6)20(62.5)
>6522(21.8)42(49.4)12(37.5)
文化程度10.225 b0.207
小学及以下52(51.5)35(41.2)10(31.3)
初中37(36.6)31(36.5)15(46.9)
高中/中专9(8.9)13(15.3)6(18.8)
大专2(2.0)6(7.1)1(3.13)
本科及以上1(0.99)
婚姻6.439 b0.308
未婚1(1.0)1(1.2)1(3.1)
已婚91(90.1)75(88.2)28(87.5)
离异5(5.0)1(1.2)
丧偶4(4.0)8(9.4)3(9.4)
医疗支付方式24.126 b<0.001
自费1(1.0)
城镇职工基本医疗保险20(19.8)36(42.4)16(50.0)
城镇居民基本医疗保险10(9.9)16(18.8)3(9.4)
新型农村合作医疗保险70(69.3)33(38.8)13(40.6)
临床分期(期)4.638 b0.591
I11(10.9)15(17.7)5(15.6)
II5(5.0)6(7.1)1(3.1)
III40(39.6)24(28.2)9(28.1)
IV45(44.6)40(47.1)17(53.1)
合并其他慢性病15.267 a<0.001
19(18.8)37(43.5)14(43.8)
82(81.2)48(56.5)18(56.3)
长期居住地18.670 b0.003
城市25(24.8)31(36.5)15(46.9)
农村72(71.3)41(48.2)13(40.6)
县城1(1.0)7(8.2)1(3.1)
乡镇3(3.0)6(7.1)3(9.4)
家庭储蓄(元)52.62 b<0.001
≤10 00084(83.2)52(61.2)8(25.0)
>10 000~29 99913(12.9)14(16.5)4(12.5)
≥30 0004(4.0)19(22.4)20(62.5)
病程(年)2.500 b0.641
≤178(77.2)62(72.9)23(71.9)
>1~516(15.8)18(21.2)5(15.6)
>57(6.9)5(5.9)4(12.5)
近一年住院次数(次)3.439 b0.488
0~573(72.3)70(82.4)27(84.4)
>5~914(13.9)7(8.2)3(9.4)
>914(13.9)8(9.4)2(6.3)
因疾病丢失工作28.911 a<0.001
67(66.3)29(34.1)7(21.9)
34(33.7)56(65.9)25(78.1)
就医行程时间(h)25.004 b0.002
≤0.510(9.9)18(21.2)12(37.5)
>0.5~118(17.8)16(18.8)10(31.3)
>1~248(47.5)34(40.0)7(21.9)
>2~521(20.8)10(11.8)1(3.1)
>54(4.0)7(8.2)2(6.3)
病理类型4.951 b0.571
腺癌58(57.4)49(57.7)18(56.3)
鳞癌24(23.8)18(21.2)4(12.5)
小细胞癌18(17.8)18(21.2)10(31.3)
其他1(1.0)
化疗周期(周)17.322 b0.007
0/无6(6.0)17(20.0)3(9.4)
>0~455(54.5)50(58.8)15(46.9)
>4~1027(26.7)9(10.6)11(34.4)
>1013(12.9)9(10.6)3(9.4)
是否手术1.551a0.460
25(24.8)15(17.7)8(25.0)
76(75.3)70(82.4)24(75.0)
是否放疗0.932 a0.628
48(47.5)35(41.2)13(40.6)
53(52.5)50(58.8)19(59.4)
是否靶向治疗0.628 a0.730
27(26.7)27(31.8)10(31.3)
74(73.3)58(68.2)22(68.8)
医生是否和您讨论医疗费用3.103 a0.212
22(21.8)14(16.5)10(31.3)
79(78.2)71(83.5)22(68.8)
), ArticleFig(id=1241821865988129481, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, language=CN, label=表3, caption=

肺癌患者的一般资料及其经济毒性潜在剖面的单因素分析[n=218,n(%)]

, figureFileSmall=null, figureFileBig=null, tableContent=
特征中度经济毒性(n=101)轻度经济毒性(n=85)无经济毒性(n=32)χ 2P
性别4.589 a0.101
81(80.2)60(70.6)28(87.5)
20(19.8)25(29.4)4(12.5)
年龄(岁)15.631 a<0.001
≤6579(78.2)43(50.6)20(62.5)
>6522(21.8)42(49.4)12(37.5)
文化程度10.225 b0.207
小学及以下52(51.5)35(41.2)10(31.3)
初中37(36.6)31(36.5)15(46.9)
高中/中专9(8.9)13(15.3)6(18.8)
大专2(2.0)6(7.1)1(3.13)
本科及以上1(0.99)
婚姻6.439 b0.308
未婚1(1.0)1(1.2)1(3.1)
已婚91(90.1)75(88.2)28(87.5)
离异5(5.0)1(1.2)
丧偶4(4.0)8(9.4)3(9.4)
医疗支付方式24.126 b<0.001
自费1(1.0)
城镇职工基本医疗保险20(19.8)36(42.4)16(50.0)
城镇居民基本医疗保险10(9.9)16(18.8)3(9.4)
新型农村合作医疗保险70(69.3)33(38.8)13(40.6)
临床分期(期)4.638 b0.591
I11(10.9)15(17.7)5(15.6)
II5(5.0)6(7.1)1(3.1)
III40(39.6)24(28.2)9(28.1)
IV45(44.6)40(47.1)17(53.1)
合并其他慢性病15.267 a<0.001
19(18.8)37(43.5)14(43.8)
82(81.2)48(56.5)18(56.3)
长期居住地18.670 b0.003
城市25(24.8)31(36.5)15(46.9)
农村72(71.3)41(48.2)13(40.6)
县城1(1.0)7(8.2)1(3.1)
乡镇3(3.0)6(7.1)3(9.4)
家庭储蓄(元)52.62 b<0.001
≤10 00084(83.2)52(61.2)8(25.0)
>10 000~29 99913(12.9)14(16.5)4(12.5)
≥30 0004(4.0)19(22.4)20(62.5)
病程(年)2.500 b0.641
≤178(77.2)62(72.9)23(71.9)
>1~516(15.8)18(21.2)5(15.6)
>57(6.9)5(5.9)4(12.5)
近一年住院次数(次)3.439 b0.488
0~573(72.3)70(82.4)27(84.4)
>5~914(13.9)7(8.2)3(9.4)
>914(13.9)8(9.4)2(6.3)
因疾病丢失工作28.911 a<0.001
67(66.3)29(34.1)7(21.9)
34(33.7)56(65.9)25(78.1)
就医行程时间(h)25.004 b0.002
≤0.510(9.9)18(21.2)12(37.5)
>0.5~118(17.8)16(18.8)10(31.3)
>1~248(47.5)34(40.0)7(21.9)
>2~521(20.8)10(11.8)1(3.1)
>54(4.0)7(8.2)2(6.3)
病理类型4.951 b0.571
腺癌58(57.4)49(57.7)18(56.3)
鳞癌24(23.8)18(21.2)4(12.5)
小细胞癌18(17.8)18(21.2)10(31.3)
其他1(1.0)
化疗周期(周)17.322 b0.007
0/无6(6.0)17(20.0)3(9.4)
>0~455(54.5)50(58.8)15(46.9)
>4~1027(26.7)9(10.6)11(34.4)
>1013(12.9)9(10.6)3(9.4)
是否手术1.551a0.460
25(24.8)15(17.7)8(25.0)
76(75.3)70(82.4)24(75.0)
是否放疗0.932 a0.628
48(47.5)35(41.2)13(40.6)
53(52.5)50(58.8)19(59.4)
是否靶向治疗0.628 a0.730
27(26.7)27(31.8)10(31.3)
74(73.3)58(68.2)22(68.8)
医生是否和您讨论医疗费用3.103 a0.212
22(21.8)14(16.5)10(31.3)
79(78.2)71(83.5)22(68.8)
), ArticleFig(id=1241821866151707344, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, language=EN, label=Table 4, caption=

Assignment of argument variables

, figureFileSmall=null, figureFileBig=null, tableContent=
变量赋值
年龄(岁)≤65=1,>65=2
家庭储蓄(元)≤10 000=1,>10 000~29 999=2,≥30 000=3
医疗支付方式自费=1,城镇职工基本医疗保险=2,城镇居民基本医疗保险=3,新型农村合作医疗保险=4
因疾病丢失工作是=1,否=2
就医行程时间(h)≤0.5=1,>0.5~1=2,>1~2=3,>2~5 =4,>5=5
长期居住地城市=1,农村=2,县城=3,乡镇=4
合并其他慢性病是=1,否=2
化疗周期(周)0/无=1,>0~4=2,>4~10=3,>10=4
), ArticleFig(id=1241821866298507996, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, language=CN, label=表4, caption=

自变量赋值情况

, figureFileSmall=null, figureFileBig=null, tableContent=
变量赋值
年龄(岁)≤65=1,>65=2
家庭储蓄(元)≤10 000=1,>10 000~29 999=2,≥30 000=3
医疗支付方式自费=1,城镇职工基本医疗保险=2,城镇居民基本医疗保险=3,新型农村合作医疗保险=4
因疾病丢失工作是=1,否=2
就医行程时间(h)≤0.5=1,>0.5~1=2,>1~2=3,>2~5 =4,>5=5
长期居住地城市=1,农村=2,县城=3,乡镇=4
合并其他慢性病是=1,否=2
化疗周期(周)0/无=1,>0~4=2,>4~10=3,>10=4
), ArticleFig(id=1241821866466280163, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, language=EN, label=Table 5, caption=

Logistic regression analysis of influencing factors of latent FT profile in lung cancer patients

, figureFileSmall=null, figureFileBig=null, tableContent=
自变量中度经济毒性(C3)轻度经济毒性(C2)
βOR值(95%CIPβOR值(95%CIP
截距4.7650.1776.0290.056
生活质量-0.0920.912(0.867~0.960)<0.001-0.0660.936(0.893~0.982)0.006
社会支持-0.0020.998(0.933~1.068)0.9640.0001.000(0.940~1.063)0.993
年龄(岁,ref:>65)
≤650.5051.657(0.468~5.872)0.434-0.7240.485(0.156~1.509)0.211
家庭储蓄(元,ref:≥30 000)
≤10 0004.686108.369(19.646~597.784)<0.0012.2789.753(2.642~36.003)0.001
>10 000~29 9993.35928.763(3.653~226.508)0.0011.2073.344(0.626~17.872)0.158
医疗支付方式(ref:新型农村合作医疗保险)
自费11.865142 138.120(—)0.999-6.5570.001(0.001~0.001)
城镇职工基本医疗保险0.6101.841(0.343~9.884)0.4761.1513.160(0.641~15.57)0.157
城镇居民基本医疗保险1.0062.735(0.337~22.208)0.3461.7925.998(0.814~44.215)0.079
因疾病丢失工作(ref:≥否)
2.93118.745(3.579~98.190)0.0012.37610.763(2.091~55.394)0.004
就医行程时间(h, ref:>5 )
≤0.5-1.6290.196(0.011~3.548)0.270-1.4580.233(0.017~3.162)0.273
>0.5~1-1.0960.334(0.020~5.644)0.447-1.2130.297(0.022~4.045)0.362
>1~20.9622.616(0.176~38.873)0.4850.3361.400(0.119~16.505)0.789
>2~52.34110.389(0.323~334.181)0.1861.6795.359(0.208~138.202)0.311
长期居住地(ref:乡镇 )
城市0.4501.568(0.115~21.344)0.736-0.6100.543(0.071~4.140)0.556
农村-0.5680.567(0.035~9.245)0.690-1.4560.233(0.023~2.342)0.216
县城-0.4690.626(0.009~44.306)0.8290.5151.674(0.059~47.564)0.763
合并其他慢性病(ref:否)
-0.5980.550(0.159~1.906)0.3460.5801.785(0.571~5.577)0.319
化疗周期(周,ref:>10)
0/无0.5171.677(0.117~24.026)0.7031.8496.351(0.572~70.456)0.132
>0~40.1291.138(0.193~6.723)0.8870.3271.387(0.250~7.697)0.708
>4~100.7072.028(0.258~15.919)0.501-1.0610.346(0.048~2.489)0.292
), ArticleFig(id=1241821866600497903, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241676527943873012, language=CN, label=表5, caption=

肺癌患者经济毒性潜在剖面影响因素的logistic回归分析

, figureFileSmall=null, figureFileBig=null, tableContent=
自变量中度经济毒性(C3)轻度经济毒性(C2)
βOR值(95%CIPβOR值(95%CIP
截距4.7650.1776.0290.056
生活质量-0.0920.912(0.867~0.960)<0.001-0.0660.936(0.893~0.982)0.006
社会支持-0.0020.998(0.933~1.068)0.9640.0001.000(0.940~1.063)0.993
年龄(岁,ref:>65)
≤650.5051.657(0.468~5.872)0.434-0.7240.485(0.156~1.509)0.211
家庭储蓄(元,ref:≥30 000)
≤10 0004.686108.369(19.646~597.784)<0.0012.2789.753(2.642~36.003)0.001
>10 000~29 9993.35928.763(3.653~226.508)0.0011.2073.344(0.626~17.872)0.158
医疗支付方式(ref:新型农村合作医疗保险)
自费11.865142 138.120(—)0.999-6.5570.001(0.001~0.001)
城镇职工基本医疗保险0.6101.841(0.343~9.884)0.4761.1513.160(0.641~15.57)0.157
城镇居民基本医疗保险1.0062.735(0.337~22.208)0.3461.7925.998(0.814~44.215)0.079
因疾病丢失工作(ref:≥否)
2.93118.745(3.579~98.190)0.0012.37610.763(2.091~55.394)0.004
就医行程时间(h, ref:>5 )
≤0.5-1.6290.196(0.011~3.548)0.270-1.4580.233(0.017~3.162)0.273
>0.5~1-1.0960.334(0.020~5.644)0.447-1.2130.297(0.022~4.045)0.362
>1~20.9622.616(0.176~38.873)0.4850.3361.400(0.119~16.505)0.789
>2~52.34110.389(0.323~334.181)0.1861.6795.359(0.208~138.202)0.311
长期居住地(ref:乡镇 )
城市0.4501.568(0.115~21.344)0.736-0.6100.543(0.071~4.140)0.556
农村-0.5680.567(0.035~9.245)0.690-1.4560.233(0.023~2.342)0.216
县城-0.4690.626(0.009~44.306)0.8290.5151.674(0.059~47.564)0.763
合并其他慢性病(ref:否)
-0.5980.550(0.159~1.906)0.3460.5801.785(0.571~5.577)0.319
化疗周期(周,ref:>10)
0/无0.5171.677(0.117~24.026)0.7031.8496.351(0.572~70.456)0.132
>0~40.1291.138(0.193~6.723)0.8870.3271.387(0.250~7.697)0.708
>4~100.7072.028(0.258~15.919)0.501-1.0610.346(0.048~2.489)0.292
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泸州市肺癌患者经济毒性潜在剖面分析及其影响因素研究
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王柯鑫 1 , 何欣宇 1 , 李瑞莲 1 , 何桠萍 1 , 李利 2
现代预防医学 | 临床与预防 2024,51(21): 4008-4014
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现代预防医学 | 临床与预防 2024, 51(21): 4008-4014
泸州市肺癌患者经济毒性潜在剖面分析及其影响因素研究
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王柯鑫1, 何欣宇1, 李瑞莲1, 何桠萍1, 李利2
作者信息
  • 1.西南医科大学护理学院,四川 泸州646099
  • 2.西南医科大学附属医院护理部,四川 泸州646000
  • 王柯鑫(1997—),女,硕士在读,护师,研究方向:护理管理

通讯作者:

李利,E-mail:
Analysis of the economic toxicity profile and influencing factors in lung cancer patients in Luzhou city
Ke-xin WANG1, Xin-yu HE1, Rui-lian LI1, Ya-pin HE1, Li LI2
Affiliations
  • School of Nursing, Southwest Medical University, Luzhou, Sichuan 646099, China
出版时间: 2024-11-10 doi: 10.20043/j.cnki.MPM.202406380
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目的

探讨肺癌患者经济毒性的潜在剖面类别及其差异特征,并分析经济毒性与健康生活质量的关系,提出护理对策。

方法

采取一般信息问卷、癌症报告结局财务毒性量表、多维社会支持量表和肺癌患者生存质量测定量表对四川省泸州市两家三级甲等医院218例接受治疗的肺癌患者进行调查。对肺癌患者经济毒性进行潜在剖面分析,并通过单因素分析和logistic回归分析探讨其影响因素,采用Pearson系数分析肺癌患者经济毒性和健康生活质量的相关性。

结果

共纳入218名肺癌患者,其经济毒性分为3个类别,分别命名为中度经济毒性风险组(C3)、轻度经济毒性组(C2)和无经济毒性组(C1)。Logistic回归结果显示,家庭储蓄>10 000~29 999元(OR=28.763,95%CI:3.653~226.508)、家庭储蓄≤10 000元(OR=9.753,95%CI:2.642~36.003)和因疾病丢失工作(C2 vs. C1:OR=10.763,95%CI:2.091~55.394;C3 vs. C1:OR=18.745,95%CI:3.579~98.190)是肺癌患者经济毒性的影响因素,肺癌患者的经济毒性与健康生活质量总分呈正相关(r=0.241,P<0.01)。

结论

肺癌患者经济毒性存在明显的异质性,护理人员应根据该分类特点制定个性化的干预措施,早期识别存在经济毒性的肺癌患者,减轻肺癌患者经济毒性,从而改善其健康生活质量。

肺癌  /  经济毒性  /  潜在剖面分析  /  影响因素
Objective

To explore the latent profile categories of economic toxicity in lung cancer patients and their differential characteristics, analyze the relationship between economic toxicity and health-related quality of life, and propose nursing interventions.

Methods

A survey was conducted among 218 lung cancer patients receiving treatment at two tertiary hospitals in Luzhou, Sichuan, using a general information questionnaire, the financial toxicity scale for cancer outcomes, the multidimensional social support scale, and the quality-of-life measurement scale for lung cancer patients. Latent profile analysis of economic toxicity was performed, and influencing factors were examined using univariate analysis and logistic regression. The correlation between economic toxicity and health-related quality of life was analyzed using Pearson correlation coefficients.

Results

A total of 218 lung cancer patients were included, with economic toxicity classified into three categories: moderate economic toxicity risk group (C3), mild economic toxicity group (C2), and no economic toxicity group (C1). Logistic regression results indicated that household savings of >10 000 to 29 999 yuan (OR=28.763, 95%CI: 3.653-226.508), household savings of ≤10 000 yuan (OR=9.753, 95%CI: 2.642-36.003), and loss of employment due to illness (C2 vs. C1: OR=10.763, 95%CI: 2.091-55.394; C3 vs. C1:OR=18.745, 95%CI: 3.579-98.190) were significant influencing factors of economic toxicity in lung cancer patients. Additionally, there was a positive correlation between economic toxicity and overall health-related quality of life scores (r=0.241, P<0.01).

Conclusion

There is significant heterogeneity in the economic toxicity experienced by lung cancer patients. Nurses should develop personalized intervention strategies based on these classification characteristics to identify lung cancer patients at risk of economic toxicity early and alleviate their economic burden, thereby improving their health-related quality of life.

Lung cancer  /  Economic toxicity  /  Latent profile analysis  /  Influencing factors
王柯鑫, 何欣宇, 李瑞莲, 何桠萍, 李利. 泸州市肺癌患者经济毒性潜在剖面分析及其影响因素研究. 现代预防医学, 2024 , 51 (21) : 4008 -4014 . DOI: 10.20043/j.cnki.MPM.202406380
Ke-xin WANG, Xin-yu HE, Rui-lian LI, Ya-pin HE, Li LI. Analysis of the economic toxicity profile and influencing factors in lung cancer patients in Luzhou city[J]. Modern Preventive Medicine, 2024 , 51 (21) : 4008 -4014 . DOI: 10.20043/j.cnki.MPM.202406380
肺癌是从肺部支气管粘膜或腺体发展而来的恶性肿瘤,是迄今为止临床上最常见的肺部原发性肿瘤,根据国际癌症研究机构数据[1],2020年全球约有超过996万例癌症死亡,其中肺癌的死亡人数约为180万例,占比超过18%,远高于其他癌症类型。大约75%的肺癌患者确诊时已处于晚期,导致预后不良[2]。据相关文献报道,肺癌患者的平均年支出是癌症类型中最高的,是最昂贵的癌症[3-4]。随着诊疗新技术和治疗方案的进步,肺癌对个人、家庭和卫生系统的经济负担持续增加,而肺癌也与相当大的身体和社会心理痛苦有关[5]。“经济毒性”(financial toxicity)由Zafar等学者[6]于2013年阐释为癌症治疗导致患者客观的经济负担和主观的经济困扰,目的是引起人们对肿瘤治疗的高昂成本及由此给患者及其家庭带来的经济负担的关注,是一种常见但很少被讨论的治疗副作用。据报道[7],肺癌患者经济毒性发生率较高,影响43%~88%患者。长期的经济毒性导致药物依从性下降、治疗延迟、生活质量下降以及重返工作岗位的困难[8-10]。目前国内外已有肺癌患者经济毒性相关性的研究,但尚未对该人群内部的异质性进行准确分析。潜在剖面分析可根据个体在不同类别上的反应模式对其进行分类,展现各分类的人数占比,进而分析不同种类人群的特点及相关影响因素。因此,本研究旨在利用潜在剖面分析,确定肺癌患者不同程度经济毒性的影响因素,为快速识别肺癌患者经济毒性高危人群,并制定相应的干预措施。
使用随机抽样法,选择2023年12月—2024年3月在泸州市两家某三级甲等医院肿瘤科和肿瘤门诊治疗的肺癌患者为调查对象。纳入标准:(1)年龄≥18岁;(2)疾病诊断符合肺癌标准[11];(3)具备基本的语言沟通能力;(4)身体状况允许参与问卷调查;(5)自愿参与并填写同意书。排除标准:(1)具有精神病史、认知障碍史的患者;(2)合并有肝、肾等严重原发性疾病者。已获取调查对象知情同意并自愿参与研究。本研究已获得西南医科大学附属医院临床试验伦理委员会批准(KY2024203)。
根据文献回顾和临床实践经验设计一般资料调查表,包括患者年龄、性别、种族、教育程度、居住地、婚姻状况、工作、工作状态、吸烟史、肺癌的分期、病理类型、合并症、病程时间、治疗方式、家庭人均月收入、家庭储蓄、医疗费用的讨论、医疗保险方式、就医行程时间等。
由de Souza[12]等研发。总分为0~44分,>25分为无经济毒性、14~25分为轻度经济毒性、1~13中度经济毒性、0分为严重经济毒性[13]。在本研究中,该量表的Cronbach α系数为0.826。
由Dahlem等[14]开发,总分为12~84分,低支持状态为12~36分,中度支持状态为37~60分,高支持状态为61~84分。在本研究中,该量表的Cronbach α系数为0.917。
由Cella等[15]研发,得分越高,生活质量越好。在本研究中,该量表的Cronbach α系数为0.859。
采用电子问卷收集。选取30名符合纳排标准的肺癌患者进行预调查,且制定正式的调查问卷。调查开始前,向患者解释研究目的、调查方法和保密原则。所有问卷题目统一指导用于调查说明注意事项,对于患者不清楚进行解释。若患者无法自行填写由研究者则代为填写。所有问卷均在当场发放和回收。为保证样本量足够,参考粗略样本量估计法,样本量取变量数的5~10倍[16],考虑10%的无效问卷,本研究共20个变量,计算出的样本量为110~220。本研究最终纳入218名参与者。
采用Mplus 8.3软件进行潜在类别分析。根据肺癌患者报告的11个经济毒性量表条目得分,从单一类别模型开始,逐步增加模型类比的数量,以选择最佳的潜在类别模型。潜在类别评估指标涵盖:Akaike信息标准(Akaike information criterion,AIC)、贝叶斯信息标准(Bayesian information criterion,BIC)以及贝叶斯信息标准(adjusted Bayesian information criterion,aBIC),指标统计值越小,模型拟合度越好;熵(Entropy)值≥0.8表示分类精确率越高;似然比检验包括似然比检验(Lo Mendell Rubin,LMR)和基于bootstrap的似然比检验(bootstrap likelihood ratio test,BLRT)比较拟合差异,当P值<0.05,表明第k个类别的模型拟合优于k-1个类别的模型。评估指标仅供参考,最优模型需考虑模型的可解释性、实际含义与简洁性。采用SPSS 26.0软件对数据进行统计分析。计数资料以频数、百分比表示,计量资料采用()表示。使用Pearson系数分析肺癌患者健康生活质量、社会支持和经济毒性之间的相关性。使用多元logistic回归研究肺癌患者经济毒性潜在类别的影响因素,检验水准α=0.05。
共纳入218例肺癌患者,其中男169例(77.5%),女49例(22.5%);142例患者年龄为65岁及以下(65.1%)。
肺癌患者经济毒性为(17.86±7.53)分,健康生活质量为(89.83±14.03)分,生理功能为(19.20±3.68)分,社会家庭状况为(17.70±3.57)分,情感状况为(16.78±4.11)分,功能状况为(10.34±4.00)分,肺癌相关症状为(25.82±4.88)分。肺癌患者的经济毒性与FACT-L总分呈正相关(r=0.241,P<0.01)。见表1
根据结果显示,依次拟合了1~4个模型,见表2。随着模型类别数目增加,AIC、BIC、aBIC渐降低,模型3处aBIC值下降减缓,此时,LMR与BLRT的P<0.05,Entropy > 0.80,表明该模型分类准确率达90%。根据模型的实际意义,最终选择模型3为最佳模型。获得模型3的潜在剖面在11个外显指标的条件概率图,见图1。各剖面的得分均分为11.455 4、20.847 1和30.156 3分,根据经济毒性分级情况,将各剖面分别命名为中度经济毒性风险组(46.33%)、轻度经济毒性性组(38.99%)和无经济毒性组(14.68%)。
单因素分析结果显示,3个类别肺癌患者在性别、文化程度、婚姻状态、临床分期、病程、近一年住院次数、病理类型、是否手术、是否放疗、是否靶向治疗和医生是否和您讨论医疗费用方面比较差异均无统计学意义(均P>0.05);不同年龄、医疗支付方式、合并其他慢性病、长期居住地、家庭储蓄、因疾病丢失工作、就医行程时间和化疗周期的肺癌患者经济毒性评分比较,差异具有统计学意义(P<0.05)。见表3
以肺癌患者发生经济毒性作为潜在剖面类别因变量,进行多元logistic回归分析,赋值情况见表4。结果显示,家庭储蓄和因疾病丢失工作为肺癌患者经济毒性潜在剖面的影响因素见表5
研究显示,85.32%患者经历经济毒性,与以往研究一致[7,17],Wang等[18]发现肺癌患者经济毒性发生率最高。原因为:一是肺癌具有较高发病率和死亡率,是世界上最常见的癌症,造成较大经济负担。二是肺癌患者治疗效率和医保保险受益公平性问题较突出,治疗费用极高,经济毒性严重[19]。三是由于肺癌早期无明显临床症状并缺乏有效诊断方法,大多数肺癌患者确诊时已处于中晚期并伴随转移,导致治疗周期延长,费用累积增加。本研究将肺癌患者经济毒性水平分为中度、轻度和无经济毒性三个类别,提示肺癌患者经济毒性水平存在个体差异性。(1)“中度经济毒性”占比为46.33%,是肺癌患者经济毒性主要类别,表明该类别患者面临经济毒性较高,是一个高风险群体,需重点关注和干预。原因可能为该类别≤65岁患者居多,家庭负担重,患病状态影响患者工作、生活,加剧患者经济毒性,陷入肿瘤、低收入、失业和经济毒性恶性循环。且该类别以农村患者为主,收入低,且农村居民大多选择三甲医院就诊,导致交通费、住宿费等间接医疗费用增加,经济毒性加重。(2)“轻度经济毒性”占比为38.99%,该类别肺癌患者经济毒性总体位于较轻水平,说明该类别患者虽存在经济毒性,但程度相对温和。年龄对经济毒性的影响处于矛盾状态,既往研究显示,年轻患者更容易经历经济毒性,但本研究表明≤65岁和>65岁的患者与较低的经济毒性有关,意味着分类是必要的且需要更多的研究验证肺癌患者经济毒性的年龄差异。(3)“无经济毒性”占比为14.68%,其中各条目得分均值较高,表明该类别肺癌患者基本不存在经济毒性困扰。原因可能为该类别患者拥有城镇职工基本医疗保险,家庭储蓄多,同时患者的子女帮助支付相关医疗费用,提高了应对肺癌治疗经济毒性的能力。
与无经济毒性组相比,家庭储蓄≤10 000元和家庭储蓄为>10 000~29 999元归入中度经济毒性概率越大,这与先前研究一致[9],家庭储蓄低的患者应对财务风险能力差,再者储蓄低的患者为避免高额治疗费用,减少药物依从性或放弃治疗,面临更高的死亡风险。提示未来护理人员应主动了解患者的经济压力,考虑现实经济因素,将成本纳入共享治疗决策,提供报销政策、经济援助计划、财务导航等服务,帮助患者选择经济毒性风险低、依从性高的治疗方案,从而有效缓解患者的经济负担。与无经济毒性组相比,因疾病丢失工作的患者归入中度和轻度经济毒性组的概率越大,与Hazell[20]研究结果一致,肺癌的诊断和治疗影响患者的就业状况,导致收入损失,经济资源受到威胁,从而发生因病致贫的现象。提示护理人员应组织互助小组,促进患者间的交流和支持,使其了解社会福利和援助项目,如失业救济、医保保障范围等,及时给予患者补助。
本研究结果显示,肺癌患者经济毒性与生活质量性具有相关性。这与Pangestu等[21]研究一致,经济毒性是肺癌患者生活质量的重要组成部分,影响患者的生理、心理健康和人际关系满意度。经历经济毒性的肺癌患者面临着焦虑、疲劳和疼痛等症状困扰,心理痛苦增加,导致身体或社会功能下降,最终影响患者的生活质量[3,22]。护理人员应加强对肺癌患者经济毒性的关注,早期识别并干预经济毒性,关注生活质量较低的肺癌患者,做好肺癌患者的随访和延续性护理,给予患者社会支持,鼓励其积极面对,从而提高其生活质量。
调查对象仅来源于两所医院,且无经济毒性的患者例数较少,可能存在信息偏移。未来可增加样本量,开展全国不同省市、不同级别医院多中心研究,探讨是否有地方差异。
本研究确定了肺癌患者经济毒性存在异质性,分析了经济毒性不同类别的影响因素,且研究显示肺癌患者经济毒性与生活质量呈正相关,有利于护理人员制定有针对性的干预措施,从而减轻经济毒性对其生活质量的影响。
  • 2022年泸州市科技局重点研发科技计划(面上)项目(2022-SYF-61)
  • 2022年度西南医科大学社科联研究课题立项(SMUSS202211)
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2024年第51卷第21期
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doi: 10.20043/j.cnki.MPM.202406380
  • 接收时间:2024-06-20
  • 首发时间:2026-03-20
  • 出版时间:2024-11-10
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  • 收稿日期:2024-06-20
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2022年泸州市科技局重点研发科技计划(面上)项目(2022-SYF-61)
2022年度西南医科大学社科联研究课题立项(SMUSS202211)
作者信息
    1.西南医科大学护理学院,四川 泸州646099
    2.西南医科大学附属医院护理部,四川 泸州646000

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2种不同金属材料的力学参数

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Percentage of
total species (%)

Genus
种数
Number of
species
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Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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