Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zip
Introduction<p>Cancer patients are more susceptible to nosocomial infections due to the suppression of their immune system as a result of factors such as the disease itself and treatment modalities. Nosocomial infections have become an important factor affecting the therapeutic effect, prognos...
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2025
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| _version_ | 1849927623230095360 |
|---|---|
| author | Qingqing Tian (4612252) |
| author2 | Yi Ding (172783) Jiayang Tang (14189021) Anran Liu (1455046) Hui Wang (30400) Weiwei Yang (197212) |
| author2_role | author author author author author |
| author_facet | Qingqing Tian (4612252) Yi Ding (172783) Jiayang Tang (14189021) Anran Liu (1455046) Hui Wang (30400) Weiwei Yang (197212) |
| author_role | author |
| dc.creator.none.fl_str_mv | Qingqing Tian (4612252) Yi Ding (172783) Jiayang Tang (14189021) Anran Liu (1455046) Hui Wang (30400) Weiwei Yang (197212) |
| dc.date.none.fl_str_mv | 2025-11-26T06:30:51Z |
| dc.identifier.none.fl_str_mv | 10.3389/fpubh.2025.1647455.s001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Data_Sheet_1_Measuring_the_burden_of_nosocomial_infection_in_cancer_patients_an_analysis_based_on_propensity_score_matching_in_China_zip/30718526 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Public Health and Health Services not elsewhere classified hospital-acquired infections propensity score matching length of hospital stay hospitalization cost infection control |
| dc.title.none.fl_str_mv | Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zip |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | Introduction<p>Cancer patients are more susceptible to nosocomial infections due to the suppression of their immune system as a result of factors such as the disease itself and treatment modalities. Nosocomial infections have become an important factor affecting the therapeutic effect, prognosis and quality of life of cancer patients, increasing their suffering and economic burden. This study aims to investigate the impact of hospital-acquired infections on the length of stay and hospitalization costs for cancer patients, providing economic health support for the prevention and control of such infections.</p>Materials and methods<p>We extracted data on the basic information, infection status, hospitalization costs, and length of stay of inpatients from a large specialized cancer hospital’s infection information system and inpatient information, from July 2021 to June 2022. The influencing factors on hospitalization costs and length of stay for cancer patients were determined through literature review. After matching using the propensity score method, we analyzed the impact of hospital-acquired infections on the length of stay and hospitalization costs.</p>Results<p>During the study period, a total of 407 hospital-acquired infections were reported, with an incidence rate of 0.58%. After propensity score matching and balance testing, compared with the control group, hospital-acquired infections prolonged the length of stay by 7 days (p < 0.01) and increased hospitalization costs by $3578.95 (p < 0.01).</p>Conclusions and relevance<p>Hospital-acquired infections significantly increase the length of stay and hospitalization costs for cancer patients, adding to the economic burden of the disease. The use of a literature review to determine covariates makes this conclusion more scientific.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_fdd6d09eb625e5c2ac61adc34a49216a |
| identifier_str_mv | 10.3389/fpubh.2025.1647455.s001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30718526 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zipQingqing Tian (4612252)Yi Ding (172783)Jiayang Tang (14189021)Anran Liu (1455046)Hui Wang (30400)Weiwei Yang (197212)Public Health and Health Services not elsewhere classifiedhospital-acquired infectionspropensity score matchinglength of hospital stayhospitalization costinfection controlIntroduction<p>Cancer patients are more susceptible to nosocomial infections due to the suppression of their immune system as a result of factors such as the disease itself and treatment modalities. Nosocomial infections have become an important factor affecting the therapeutic effect, prognosis and quality of life of cancer patients, increasing their suffering and economic burden. This study aims to investigate the impact of hospital-acquired infections on the length of stay and hospitalization costs for cancer patients, providing economic health support for the prevention and control of such infections.</p>Materials and methods<p>We extracted data on the basic information, infection status, hospitalization costs, and length of stay of inpatients from a large specialized cancer hospital’s infection information system and inpatient information, from July 2021 to June 2022. The influencing factors on hospitalization costs and length of stay for cancer patients were determined through literature review. After matching using the propensity score method, we analyzed the impact of hospital-acquired infections on the length of stay and hospitalization costs.</p>Results<p>During the study period, a total of 407 hospital-acquired infections were reported, with an incidence rate of 0.58%. After propensity score matching and balance testing, compared with the control group, hospital-acquired infections prolonged the length of stay by 7 days (p < 0.01) and increased hospitalization costs by $3578.95 (p < 0.01).</p>Conclusions and relevance<p>Hospital-acquired infections significantly increase the length of stay and hospitalization costs for cancer patients, adding to the economic burden of the disease. The use of a literature review to determine covariates makes this conclusion more scientific.</p>2025-11-26T06:30:51ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.3389/fpubh.2025.1647455.s001https://figshare.com/articles/dataset/Data_Sheet_1_Measuring_the_burden_of_nosocomial_infection_in_cancer_patients_an_analysis_based_on_propensity_score_matching_in_China_zip/30718526CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307185262025-11-26T06:30:51Z |
| spellingShingle | Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zip Qingqing Tian (4612252) Public Health and Health Services not elsewhere classified hospital-acquired infections propensity score matching length of hospital stay hospitalization cost infection control |
| status_str | publishedVersion |
| title | Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zip |
| title_full | Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zip |
| title_fullStr | Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zip |
| title_full_unstemmed | Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zip |
| title_short | Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zip |
| title_sort | Data Sheet 1_Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.zip |
| topic | Public Health and Health Services not elsewhere classified hospital-acquired infections propensity score matching length of hospital stay hospitalization cost infection control |