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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1605887</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Medical treatment cost for Chinese inpatients with colorectal cancer by sites</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Hu</surname> <given-names>Zeng-Bao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/3025699/overview"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Huang</surname> <given-names>Jin-Ying</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>McDonald</surname> <given-names>Stuart</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Bo-Xu</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Mao</surname> <given-names>Hao-Xun</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Zhou</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Dai</surname> <given-names>Xiao-Yu</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Yu</surname> <given-names>Hua</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname> <given-names>Jian-Jiong</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Lin</surname> <given-names>Yi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Faculty of Humanities and Social Sciences, University of Nottingham Ningbo China, Ningbo</institution>, <addr-line>Zhejiang</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>College of International Economics and Trade, Ningbo University of Finance and Economics, Ningbo</institution>, <addr-line>Zhejiang</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Colorectal and Anal Surgery, Ningbo No. 2 Hospital, Ningbo</institution>, <addr-line>Zhejiang</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Clinical Nutrition, Ningbo No. 2 Hospital, Ningbo</institution>, <addr-line>Zhejiang</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Alessandro Passardi, Scientific Institute of Romagna for the Study and Treatment of Tumors (IRCCS), Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Zsuzsanna K&#x000ED;v&#x000E9;s, University of P&#x000E9;cs, Hungary</p>
<p>Nazim Bhimani, Royal North Shore Hospital, Australia</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Jian-Jiong Li <email>huameileejjone&#x00040;163.com</email></corresp>
<corresp id="c002">Yi Lin <email>lily.lin&#x00040;nottingham.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1605887</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2025 Hu, Huang, McDonald, Chen, Mao, Wu, Dai, Yu, Li and Lin.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Hu, Huang, McDonald, Chen, Mao, Wu, Dai, Yu, Li and Lin</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The increasing prevalence of colorectal cancer (CRC) is a challenge for China&#x00027;s healthcare system. Using hospitalization data from Ningbo, China, this study aims to estimate the medical treatment cost and cost structure of CRC based on tumor sites to gain insights with respect to the cost efficiency of early diagnosis.</p>
</sec>
<sec>
<title>Methods</title>
<p>A retrospective observational study was performed in a real-life clinical setting of a tertiary hospital in Ningbo, China. Sociodemographic, clinicopathologic, and CRC medical treatment cost data were extracted from the inpatients&#x00027; medical records. The study comprised inpatients aged above 18 diagnosed with CRC and received surgical treatment between 2020 and 2022. CRC costs were separated into six cost categories and analyzed separately by tumor site (rectum and colon). All cost data were measured by 2020 Chinese Yuan.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 538 inpatients were included, where 63.9% were male, 67.5% were diagnosed with rectal cancer, and 47.2% were at Stages III and IV. Medical treatment costs of rectal cancer increased significantly from Stage I to Stage IV in all cost categories (<italic>p</italic> &#x0003C; 0.001), with percentage increases ranging from 70% to 120%, depending on cost category. Medication, materials, and examinations were the major sources of CRC costs for both rectal and colon cancers, with each accounting for 20%&#x02212;30% of total costs, depending on tumor site and cancer stage.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Targeted programs for the management and treatment of various tumor sites should be considered, as rectal cancer costs are more stage-sensitive than colon cancer. The large proportion of costs attributed to medication, materials, and examinations provides guidance to the government in regulating the healthcare market to alleviate the economic burden of CRC.</p>
</sec></abstract>
<kwd-group>
<kwd>China</kwd>
<kwd>colorectal cancer</kwd>
<kwd>medical costs</kwd>
<kwd>economic burden</kwd>
<kwd>stage at diagnosis</kwd>
</kwd-group>
<contract-sponsor id="cn001">Ningbo Municipal Bureau of Science and Technology<named-content content-type="fundref-id">https://doi.org/10.13039/501100007928</named-content></contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="41"/>
<page-count count="9"/>
<word-count count="6127"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Health Economics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>1 Introduction</title>
<p>Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer-related death worldwide. It was estimated that there were 1.93 million new CRC cases and 0.94 million CRC deaths in 2020 (<xref ref-type="bibr" rid="B1">1</xref>). The global new cases and deaths are projected to increase to 2.2 million and 1.1 million by 2030, respectively (<xref ref-type="bibr" rid="B2">2</xref>). Europe and North America have higher incidence rates than most other parts of the world (<xref ref-type="bibr" rid="B1">1</xref>). In 2024, it was estimated that there were 0.15 million new cases in the United States and 0.15 million deaths in the European Union (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). In China, the age-standardized incidence rate (ASIR) and mortality rate (ASMR) were 30.55 per 100,000 and 13.86 per 100, 000, respectively, in 2019 (<xref ref-type="bibr" rid="B5">5</xref>). Despite lower rates compared with developed countries such as the United States (ASIR: 41.86 per 100,000; ASMR: 14.77 per 100,000), China has the highest number of new CRC cases and CRC deaths worldwide due to its large population. In 2020, 0.55 million new CRC cases and 0.28 million CRC-related deaths occurred in China, accounting for 28.8% of newly diagnosed cases and 30.6% of CRC-related deaths worldwide, respectively (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>CRC has become a heavy economic burden in many countries. The estimated total medical costs of CRC were &#x020AC;19.1 billion in Europe in 2015 (<xref ref-type="bibr" rid="B8">8</xref>) and $24.3 billion in the United States in 2020 (<xref ref-type="bibr" rid="B9">9</xref>). In China, the economic burden of CRC reached 170.5 billion Chinese Yuan (CNY) in 2019, reaching 0.189% of the local GDP, and it is expected to reach 560 billion in 2030 without effective intervention (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>CRC prevention programs and targeted treatment methods are therefore needed to alleviate the economic burden of CRC, which necessitates a thorough understanding of the structure of CRC medical treatment costs. Previous studies mostly focused on the medical costs of CRC in Western countries (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B14">14</xref>), while there have been limited studies focusing on a Chinese context. Existing studies on China have only estimated the total medical costs of CRC, rather than dissecting the costs into different categories, such as medication, examination, and surgery, to provide insights into the structure of costs (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). By contrast, the aim of this study was to estimate the inpatient CRC medical treatment costs by cost categories (i.e., material cost, medication cost, surgery cost, treatment cost, examination cost, and hospital service cost), and compare the costs by patient sociodemographic characteristics, tumor sites, and cancer stages, in a real-life clinical setting of a tertiary hospital in Ningbo, Zhejiang, China. The CRC prevalence in Zhejiang has caused a heavier economic burden than other Chinese provinces (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>), making it a good example to study the costs of CRC treatment and relevant contributors.</p>
</sec>
<sec id="s2">
<title>2 Methodology and data</title>
<sec>
<title>2.1 Study design and patients</title>
<p>This study provides a retrospective observational study using the pooled data from a tertiary hospital located in Ningbo, Zhejiang, China. This study was approved by the Ethics Committee of the hospital (No. YJ-NBEY-KY-2023-060-01). Patients who satisfied the following inclusion criteria were eligible for the study: (1) primary diagnosis, hospital admission, and surgical treatment for CRC occurred between January 1 2020 and December 31 2022; (2) age of subjects was above or equal to 18 years of age at the time of inclusion in the data set; (3) information on cancer stage and CRC-related costs during hospitalization was available; and (4) other individual clinical information including age, gender, tumor site, and usage of traditional Chinese medicine (TCM), were available. According to the TNM staging system of the Union for International Cancer Control (UICC) (<xref ref-type="bibr" rid="B19">19</xref>), patients were divided into four cancer stages (I, II, III, and IV). Based on the age at diagnosis, patients were divided into three age groups: &#x0003C; 60, 60&#x02013;79, and &#x0003E;79. Regarding whether patients took TCM during hospitalization, subjects were classified into two groups: those without TCM usage and those with TCM usage.</p>
</sec>
<sec>
<title>2.2 Cancer treatment costs</title>
<p>The total treatment costs in this study referred to the total medical costs incurred by CRC patients during hospitalization. Total treatment costs were then separated into six categories: material costs, medication costs, surgery costs, treatment costs, examination costs, and hospital service costs. Material costs included the expenses on medical instruments and equipment used during hospitalization and surgeries (e.g., syringes, medical tubing, medical needles, surgery instruments, etc.). Medication costs included all the drugs used during hospitalization, including prescription drugs and over-the-counter (OTC) drugs. Medication costs did not include the expenses incurred from patients using traditional Chinese medicine (TCM). Surgery costs included the costs of the operation and anaesthetization. Treatment costs included the expense of providing inpatients with necessary care during hospitalization (e.g., injection, intubation, dressing change, etc.). Examination costs included the costs of all medical examinations, including radiology, nuclear medicine, endoscopy, and laboratory testing, incurred by patients during hospitalization. Hospital service costs included the costs of nursing service, hospital accommodation, blood transfusion, consultation, and TCM. All costs were measured in CNY based on the Consumer Price Index (CPI) of China using 2020 as the base year.</p>
</sec>
<sec>
<title>2.3 Statistical analysis</title>
<p>The pooled sample data were analyzed in the study. CRC-related medical costs and sociodemographic and clinicopathologic characteristics of inpatients were described and analyzed in this study. CRC-related costs were presented as means with 95% confidential intervals (CIs). Gender, age group, TCM usage, and cancer stage were reported as numbers with percentages. The Shapiro-Wilk test was used to test for the normality of continuous variables, and the non-parametric Jonckheere-Terpstra test was used to compare their statistical differences between groups, given that the tested samples were non-normally distributed. The Chi Square test was used to compare the statistical differences in categorical variables across groups. Separate analyses were undertaken for colon and rectal cancers due to their biological and clinical differences (<xref ref-type="bibr" rid="B20">20</xref>). All statistical tests were two-tailed, and <italic>p</italic> &#x0003C; 0.05 was considered statistically significant. Statistical analyses were performed using STATA 17.0 (2021).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<p>The data contained a total of 722 inpatients diagnosed with CRC between 2020 and 2022, with 538 subjects satisfying the criteria for inclusion in this study (<xref ref-type="fig" rid="F1">Figure 1</xref>). A total of 538 inpatients were included in this study, with 63.9% were male, 53.7% aged between 60 and 79, 83.6% elected not to take TCM during hospitalization, and 67.5% diagnosed with rectal cancer (<xref ref-type="table" rid="T1">Table 1</xref>). The proportions of patients at Stages I, II, III, and IV were 21.2, 31.6, 35.5, and 11.7%, respectively. Patients with rectal cancer had a significantly younger age structure (<italic>p</italic> &#x0003C; 0.001), with 22.9% under the age of 59, compared to 10.8% with colon cancer. There were significant differences in cancer stage between colon cancer and rectal cancer (<italic>p</italic> &#x0003C; 0.001), as higher percentages of Stage III (36.4%) and Stage II (37.1%) were found in rectum cancer and colon cancer, respectively. <xref ref-type="fig" rid="F1">Figure 1</xref> details the sample procedure and inclusion process.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flow chart of inclusion of the study sample.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-13-1605887-g0001.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Colorectal cancer patient characteristic and medical expenditures by tumor site.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-13-1605887-i0001.tif"/></th>
<th valign="top" align="center"><bold>Total sample</bold></th>
<th valign="top" align="center"><bold>Rectum</bold></th>
<th valign="top" align="center"><bold>Colon</bold></th>
<th valign="top" align="center"><bold>P<sup>a</sup></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center" colspan="5">N (%)</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left"><bold>Patient</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Number of patients</td>
<td valign="top" align="center">538 (100.0%)</td>
<td valign="top" align="center">363 (67.5%)</td>
<td valign="top" align="center">175 (32.5%)</td>
<td/>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left"><bold>Gender</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.984</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">344 (63.9%)</td>
<td valign="top" align="center">232 (63.9%)</td>
<td valign="top" align="center">112 (64.0%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">194 (36.1%)</td>
<td valign="top" align="center">131 (36.1%)</td>
<td valign="top" align="center">63 (36.0%)</td>
<td/>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left"><bold>Age group</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"> &#x02264; 59</td>
<td valign="top" align="center">102 (19.0%)</td>
<td valign="top" align="center">83 (22.9%)</td>
<td valign="top" align="center">19 (10.9%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">60-79</td>
<td valign="top" align="center">289 (53.7%)</td>
<td valign="top" align="center">197 (54.2%)</td>
<td valign="top" align="center">92 (52.6%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x02265;80</td>
<td valign="top" align="center">147 (27.3%)</td>
<td valign="top" align="center">83 (22.9%)</td>
<td valign="top" align="center">64 (36.6%)</td>
<td/>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left"><bold>Traditional Chinese medicine usage</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.010</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">450 (83.6%)</td>
<td valign="top" align="center">314 (86.5%)</td>
<td valign="top" align="center">136 (77.7%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">88 (16.4%)</td>
<td valign="top" align="center">49 (13.5%)</td>
<td valign="top" align="center">39 (22.3%)</td>
<td/>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left"><bold>Cancer stage</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">TNM I</td>
<td valign="top" align="center">114 (21.2%)</td>
<td valign="top" align="center">92 (25.3%)</td>
<td valign="top" align="center">22 (12.6%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">TNM II</td>
<td valign="top" align="center">170 (31.6%)</td>
<td valign="top" align="center">105 (28.9%)</td>
<td valign="top" align="center">65 (37.1%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">TNM III</td>
<td valign="top" align="center">191 (35.5%)</td>
<td valign="top" align="center">132 (36.4%)</td>
<td valign="top" align="center">59 (33.7%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">TNM IV</td>
<td valign="top" align="center">63 (11.7%)</td>
<td valign="top" align="center">34 (9.4%)</td>
<td valign="top" align="center">29 (16.6%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="center" colspan="5">Mean [95% CI]</td>
</tr>
<tr>
<td valign="top" align="left">Total cost</td>
<td valign="top" align="center">37946.13</td>
<td valign="top" align="center">32515.61</td>
<td valign="top" align="center">49210.59</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[36006.15-39886.11]</td>
<td valign="top" align="center">[30240.10-34791.11]</td>
<td valign="top" align="center">[46156.31-52264.86]</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Material cost</td>
<td valign="top" align="center">9101.29</td>
<td valign="top" align="center">7298.04</td>
<td valign="top" align="center">12841.73</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[8350.62-9851.95]</td>
<td valign="top" align="center">[6588.29-8007.79]</td>
<td valign="top" align="center">[11185.48-14497.98]</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Medication cost</td>
<td valign="top" align="center">9830.81</td>
<td valign="top" align="center">8559.71</td>
<td valign="top" align="center">12467.45</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[9215.52-10446.11]</td>
<td valign="top" align="center">[7821.08-9298.34]</td>
<td valign="top" align="center">[11455.59-13479.31]</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Surgery cost</td>
<td valign="top" align="center">5091.29</td>
<td valign="top" align="center">4726.53</td>
<td valign="top" align="center">5847.92</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[4914.98-5267.60]</td>
<td valign="top" align="center">[4506.51-4946.55]</td>
<td valign="top" align="center">[5586.55-6109.28]</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Treatment cost</td>
<td valign="top" align="center">3070.79</td>
<td valign="top" align="center">2599.87</td>
<td valign="top" align="center">4047.62</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[2843.30-3298.29]</td>
<td valign="top" align="center">[2316.76-2882.98]</td>
<td valign="top" align="center">[3707.55-4387.69]</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Examination cost</td>
<td valign="top" align="center">8421.13</td>
<td valign="top" align="center">7073.36</td>
<td valign="top" align="center">10663.42</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[7845.50-8636.76]</td>
<td valign="top" align="center">[6607.33-7539.39]</td>
<td valign="top" align="center">[10063.10-11263.74]</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hospital service cost</td>
<td valign="top" align="center">2521.28</td>
<td valign="top" align="center">2177.91</td>
<td valign="top" align="center">3233.53</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">[2373.43-2669.14]</td>
<td valign="top" align="center">[1995.83-2360.00]</td>
<td valign="top" align="center">[3013.48-3453.58]</td>
<td/>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Values are expressed as frequency (%), or as mean [95% CI].</p>
<p>Costs are measured by 2020 CNY (&#x000A5;).</p>
<p><sup>a</sup>Comparisons are made between the rectum group and the colon group, using the Chi-2 Test for categorical variables and the Jonckheere&#x02013;Terpstra Test for continuous variables, respectively.</p>
<p>Results are presented as <italic>P</italic>-values.</p>
</table-wrap-foot>
</table-wrap>
<p>The mean total medical cost for CRC treatment was &#x000A5;37946.13 per patient, with &#x000A5;9101.29 for materials, &#x000A5;9830.81 for medications, &#x000A5;5091.29 for surgeries, &#x000A5;3070.79 for treatment, &#x000A5;8421.13 for examinations, and &#x000A5;2521.28 for hospital services (<xref ref-type="table" rid="T1">Table 1</xref>). The mean costs across all cost categories were significantly higher for colon cancer than rectal cancer (<italic>p</italic> &#x0003C; 0.001).</p>
<p><xref ref-type="table" rid="T2">Table 2</xref> displays the changes in the cost structures of CRC medical costs from 2020 to 2022. The proportions of material cost and surgery cost increased, while the proportion of medication costs decreased. The proportions of other cost categories were relatively stable, with minor changes.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Cost structure of medical expenditures for colorectal cancer from 2020 to 2022.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Category</bold></th>
<th valign="top" align="center" colspan="3"><bold>Year</bold></th>
<th valign="top" align="center"><bold>Annual growth rate</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#919498;color:#ffffff">
<td/>
<td valign="top" align="center"><bold>2020</bold></td>
<td valign="top" align="center"><bold>2021</bold></td>
<td valign="top" align="center"><bold>2022</bold></td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Material cost</td>
<td valign="top" align="center">20.87%</td>
<td valign="top" align="center">23.49%</td>
<td valign="top" align="center">26.92%</td>
<td valign="top" align="center">13.58%</td>
</tr>
<tr>
<td valign="top" align="left">Medication cost</td>
<td valign="top" align="center">29.69%</td>
<td valign="top" align="center">26.13%</td>
<td valign="top" align="center">23.06%</td>
<td valign="top" align="center">&#x02212;11.87%</td>
</tr>
<tr>
<td valign="top" align="left">Surgery cost</td>
<td valign="top" align="center">11.99%</td>
<td valign="top" align="center">13.47%</td>
<td valign="top" align="center">14.52%</td>
<td valign="top" align="center">10.07%</td>
</tr>
<tr>
<td valign="top" align="left">Treatment cost</td>
<td valign="top" align="center">9.01%</td>
<td valign="top" align="center">7.57%</td>
<td valign="top" align="center">7.97%</td>
<td valign="top" align="center">&#x02212;5.35%</td>
</tr>
<tr>
<td valign="top" align="left">Examination cost</td>
<td valign="top" align="center">21.27%</td>
<td valign="top" align="center">23.03%</td>
<td valign="top" align="center">20.91%</td>
<td valign="top" align="center">&#x02212;0.47%</td>
</tr>
<tr>
<td valign="top" align="left">Hospital service cost</td>
<td valign="top" align="center">7.18%</td>
<td valign="top" align="center">6.32%</td>
<td valign="top" align="center">6.61%</td>
<td valign="top" align="center">&#x02212;3.69%</td>
</tr></tbody>
</table>
</table-wrap>
<p><xref ref-type="table" rid="T3">Table 3</xref> summarizes the mean cost by patient characteristics for inpatients with rectal and colon cancers. The total cost for rectal cancer was found to be significantly higher in male patients (<italic>p</italic> = 0.012) and older patients (<italic>p</italic> &#x0003C; 0.001), but not for colon cancer. The total cost of patients was significantly higher for those using TCM for both rectal (<italic>p</italic> = 0.002) and colon (<italic>p</italic> = 0.005) cancers. The medical treatment cost increased significantly with stage levels for rectal cancer in any cost category (<italic>p</italic> &#x0003C; 0.001). By contrast, no significant difference in the medical treatment cost across cancer stages was observed for colon cancer.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Mean cost of rectal cancer and colon cancer by cost category and demographic variables.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-13-1605887-i0002.tif"/></th>
<th valign="top" align="center"><bold>Total cost</bold></th>
<th valign="top" align="center"><bold>Material cost</bold></th>
<th valign="top" align="center"><bold>Medication cost</bold></th>
<th valign="top" align="center"><bold>Surgery cost</bold></th>
<th valign="top" align="center"><bold>Treatment cost</bold></th>
<th valign="top" align="center"><bold>Examination cost</bold></th>
<th valign="top" align="center"><bold>Hospital Service cost</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="8"><bold>Rectal cancer</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Total sample</bold></td>
<td valign="top" align="center">32515.61</td>
<td valign="top" align="center">7298.04</td>
<td valign="top" align="center">8559.71</td>
<td valign="top" align="center">4726.53</td>
<td valign="top" align="center">2599.87</td>
<td valign="top" align="center">7073.36</td>
<td valign="top" align="center">2177.91</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="8"><bold>Gender</bold></td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">34180.03</td>
<td valign="top" align="center">7832.27</td>
<td valign="top" align="center">9111.27</td>
<td valign="top" align="center">4766.18</td>
<td valign="top" align="center">2740.17</td>
<td valign="top" align="center">7372.91</td>
<td valign="top" align="center">2263.52</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">29567.91</td>
<td valign="top" align="center">6351.92</td>
<td valign="top" align="center">7582.89</td>
<td valign="top" align="center">4656.30</td>
<td valign="top" align="center">2351.41</td>
<td valign="top" align="center">6542.87</td>
<td valign="top" align="center">2026.30</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">0.576</td>
<td valign="top" align="center">0.068</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center">0.018</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="8"><bold>Age group</bold></td>
</tr>
<tr>
<td valign="top" align="left"> &#x02264; 59</td>
<td valign="top" align="center">25765.11</td>
<td valign="top" align="center">5298.24</td>
<td valign="top" align="center">7355.39</td>
<td valign="top" align="center">4081.35</td>
<td valign="top" align="center">1851.07</td>
<td valign="top" align="center">5294.00</td>
<td valign="top" align="center">1775.20</td>
</tr>
<tr>
<td valign="top" align="left">60-79</td>
<td valign="top" align="center">29226.80</td>
<td valign="top" align="center">6184.01</td>
<td valign="top" align="center">7946.34</td>
<td valign="top" align="center">4322.52</td>
<td valign="top" align="center">2378.13</td>
<td valign="top" align="center">6319.25</td>
<td valign="top" align="center">2012.48</td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;80</td>
<td valign="top" align="center">47072.05</td>
<td valign="top" align="center">11942.00</td>
<td valign="top" align="center">11219.86</td>
<td valign="top" align="center">6330.62</td>
<td valign="top" align="center">3874.97</td>
<td valign="top" align="center">10642.60</td>
<td valign="top" align="center">2973.27</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="8"><bold>TCM</bold></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">41450.65</td>
<td valign="top" align="center">9601.37</td>
<td valign="top" align="center">10690.49</td>
<td valign="top" align="center">5261.27</td>
<td valign="top" align="center">3741.00</td>
<td valign="top" align="center">9239.40</td>
<td valign="top" align="center">2777.01</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">31121.28</td>
<td valign="top" align="center">6938.60</td>
<td valign="top" align="center">8227.20</td>
<td valign="top" align="center">4643.08</td>
<td valign="top" align="center">2421.80</td>
<td valign="top" align="center">6735.35</td>
<td valign="top" align="center">2084.42</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.010</td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center">0.026</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="8"><bold>Cancer stage</bold></td>
</tr>
<tr>
<td valign="top" align="left">TNM I</td>
<td valign="top" align="center">25622.49</td>
<td valign="top" align="center">5439.52</td>
<td valign="top" align="center">6642.04</td>
<td valign="top" align="center">4074.17</td>
<td valign="top" align="center">1920.94</td>
<td valign="top" align="center">5686.55</td>
<td valign="top" align="center">1750.98</td>
</tr>
<tr>
<td valign="top" align="left">TNM II</td>
<td valign="top" align="center">30789.59</td>
<td valign="top" align="center">6620.54</td>
<td valign="top" align="center">8186.59</td>
<td valign="top" align="center">4588.53</td>
<td valign="top" align="center">2456.52</td>
<td valign="top" align="center">6638.79</td>
<td valign="top" align="center">2216.57</td>
</tr>
<tr>
<td valign="top" align="left">TNM III</td>
<td valign="top" align="center">34076.92</td>
<td valign="top" align="center">7908.84</td>
<td valign="top" align="center">8602.41</td>
<td valign="top" align="center">5069.41</td>
<td valign="top" align="center">2672.65</td>
<td valign="top" align="center">7605.61</td>
<td valign="top" align="center">2148.45</td>
</tr>
<tr>
<td valign="top" align="left">TNM IV</td>
<td valign="top" align="center">50436.33</td>
<td valign="top" align="center">12047.91</td>
<td valign="top" align="center">14735.22</td>
<td valign="top" align="center">5586.72</td>
<td valign="top" align="center">4597.14</td>
<td valign="top" align="center">10101.58</td>
<td valign="top" align="center">3328.13</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="8"><bold>Colon cancer</bold></td>
</tr>
<tr>
<td valign="top" align="left">Total sample</td>
<td valign="top" align="center">49210.59</td>
<td valign="top" align="center">12841.73</td>
<td valign="top" align="center">12467.45</td>
<td valign="top" align="center">5847.92</td>
<td valign="top" align="center">4047.62</td>
<td valign="top" align="center">10663.42</td>
<td valign="top" align="center">3233.53</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="8"><bold>Gender</bold></td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">49066.41</td>
<td valign="top" align="center">13052.68</td>
<td valign="top" align="center">12551.10</td>
<td valign="top" align="center">5921.36</td>
<td valign="top" align="center">3888.86</td>
<td valign="top" align="center">10468.84</td>
<td valign="top" align="center">3080.45</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">49466.89</td>
<td valign="top" align="center">12466.70</td>
<td valign="top" align="center">12318.74</td>
<td valign="top" align="center">5717.40</td>
<td valign="top" align="center">4329.86</td>
<td valign="top" align="center">11009.33</td>
<td valign="top" align="center">3505.67</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="center">0.702</td>
<td valign="top" align="center">0.326</td>
<td valign="top" align="center">0.621</td>
<td valign="top" align="center">0.349</td>
<td valign="top" align="center">0.334</td>
<td valign="top" align="center">0.518</td>
<td valign="top" align="center">0.455</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="8"><bold>Age group</bold></td>
</tr>
<tr>
<td valign="top" align="left"> &#x02264; 59</td>
<td valign="top" align="center">48649.63</td>
<td valign="top" align="center">18028.95</td>
<td valign="top" align="center">10496.13</td>
<td valign="top" align="center">5522.23</td>
<td valign="top" align="center">3220.13</td>
<td valign="top" align="center">8533.93</td>
<td valign="top" align="center">2791.30</td>
</tr>
<tr>
<td valign="top" align="left">60-79</td>
<td valign="top" align="center">50582.05</td>
<td valign="top" align="center">13239.09</td>
<td valign="top" align="center">13346.92</td>
<td valign="top" align="center">6125.04</td>
<td valign="top" align="center">4039.11</td>
<td valign="top" align="center">10391.45</td>
<td valign="top" align="center">3349.92</td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;80</td>
<td valign="top" align="center">47405.64</td>
<td valign="top" align="center">10730.57</td>
<td valign="top" align="center">11788.45</td>
<td valign="top" align="center">5546.24</td>
<td valign="top" align="center">4305.52</td>
<td valign="top" align="center">11686.56</td>
<td valign="top" align="center">3197.50</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="center">0.405</td>
<td valign="top" align="center">0.586</td>
<td valign="top" align="center">0.415</td>
<td valign="top" align="center">0.083</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.159</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="8"><bold>TCM</bold></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">55237.53</td>
<td valign="top" align="center">15073.77</td>
<td valign="top" align="center">13531.95</td>
<td valign="top" align="center">6134.84</td>
<td valign="top" align="center">4483.04</td>
<td valign="top" align="center">12276.29</td>
<td valign="top" align="center">3605.64</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">47482.27</td>
<td valign="top" align="center">12201.66</td>
<td valign="top" align="center">12162.19</td>
<td valign="top" align="center">5765.64</td>
<td valign="top" align="center">3922.76</td>
<td valign="top" align="center">10200.90</td>
<td valign="top" align="center">3126.82</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.096</td>
<td valign="top" align="center">0.043</td>
<td valign="top" align="center">0.114</td>
<td valign="top" align="center">0.082</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">0.031</td>
</tr>
<tr style="background-color:#dee1e1">
<td valign="top" align="left" colspan="8"><bold>Cancer stage</bold></td>
</tr>
<tr>
<td valign="top" align="left">TNM I</td>
<td valign="top" align="center">46557.84</td>
<td valign="top" align="center">12457.94</td>
<td valign="top" align="center">10809.08</td>
<td valign="top" align="center">6374.00</td>
<td valign="top" align="center">3533.31</td>
<td valign="top" align="center">9875.55</td>
<td valign="top" align="center">3262.98</td>
</tr>
<tr>
<td valign="top" align="left">TNM II</td>
<td valign="top" align="center">48095.37</td>
<td valign="top" align="center">11717.19</td>
<td valign="top" align="center">12629.61</td>
<td valign="top" align="center">5697.59</td>
<td valign="top" align="center">4054.04</td>
<td valign="top" align="center">10695.51</td>
<td valign="top" align="center">3229.49</td>
</tr>
<tr>
<td valign="top" align="left">TNM III</td>
<td valign="top" align="center">52224.37</td>
<td valign="top" align="center">15426.79</td>
<td valign="top" align="center">12676.82</td>
<td valign="top" align="center">5871.22</td>
<td valign="top" align="center">4116.04</td>
<td valign="top" align="center">10841.64</td>
<td valign="top" align="center">3210.47</td>
</tr>
<tr>
<td valign="top" align="left">TNM IV</td>
<td valign="top" align="center">47591.14</td>
<td valign="top" align="center">10394.16</td>
<td valign="top" align="center">12936.08</td>
<td valign="top" align="center">5738.37</td>
<td valign="top" align="center">4284.22</td>
<td valign="top" align="center">10826.59</td>
<td valign="top" align="center">3267.15</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="center">0.505</td>
<td valign="top" align="center">0.087</td>
<td valign="top" align="center">0.743</td>
<td valign="top" align="center">0.358</td>
<td valign="top" align="center">0.617</td>
<td valign="top" align="center">0.995</td>
<td valign="top" align="center">0.413</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Costs are measured by 2020 CNY (&#x000A5;).</p>
<p>Comparisons between groups are conducted using the Jonckheere&#x02013;Terpstra Test. Results are presented as <italic>P</italic>-values.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="fig" rid="F2">Figure 2</xref> shows the cost structures of medical treatment costs by cancer stage and tumor site. Medical costs for rectal and colon cancer exhibited similar cost structures, with medication, examination, and materials as the three major cost drivers, contributing to over 70% of total costs. Medication was the largest cost source for rectal cancer, ranging from 25% to 29%, depending on the cancer stage, and it was also the largest source for colon cancer at Stages II (26%) and IV (27%). However, the largest cost source for colon cancer at Stages I (27%) and III (30%) was material cost. The proportion of examination cost was relatively stable for both rectal and colon cancers, ranging from 20% to 23%, depending on the cancer stage and tumor site. Treatment and hospital services remained the least important contributors for both rectal and colon cancers, with stable proportions of 7%&#x02212;9%. When comparing the cost structures between rectal and colon cancers, the proportion of material cost was substantially higher in colon cancer than in rectal cancer at Stages I, II, and III, except for Stage IV. The differences in other costs were relatively small.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Cost structure of medical expenditures for rectal and colon cancer by stage classification (I, II, III, IV). Medical expenditures were separated into six categories including material cost, medication cost, examination cost, surgery cost, treatment cost, and hospital service cost.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-13-1605887-g0002.tif"/>
</fig>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>This study found that the mean costs were significantly higher in colon cancer across all cost categories than in rectal cancer. This contrasts with previous studies, some of which reported that the costs for rectal cancer were higher than those for colon cancer (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>), while others found no significant difference between the costs of rectal and colon cancers (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Two reasons may account for this difference. First, rectal cancer is more likely to be diagnosed at an earlier stage, due to specific initial symptoms such as rectal bleeding (<xref ref-type="bibr" rid="B24">24</xref>). As a result, the proportion of patients at Stage I was higher in the rectal cancer sample than the colon cancer sample (25.3% vs. 12.6%) in this study, leading to lower medical costs. In contrast, the proportions of patients at an early stage were similar between rectal and colon cancers in previous literature, such as 59% for rectal cancer vs. 58% for colon cancer (<xref ref-type="bibr" rid="B22">22</xref>) or 49% for rectal cancer vs. 51% for colon cancer (<xref ref-type="bibr" rid="B12">12</xref>). Second, older patients are more likely to experience complications and comorbidities (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>), and in our study, the proportion of patients aged above 80 was higher for colon cancer than for rectal cancer (36.6% vs. 22.9%), which may have raised medical costs.</p>
<p>This study also found that the mean cost of CRC increased with the TNM stage of diagnosis, which is consistent with previous studies (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). However, colon and rectal cancers showed different cost features along with cancer stages. For the patients with rectal cancer, costs in all categories increased significantly from Stage I to Stage IV, as later stages usually require more complicated treatment strategies and additional medication to combat complications and comorbidities. Moreover, rectal cancer at Stages III and IV usually involves resection of a larger part of the rectum and adjacent tissues or organs invaded by cancer cells (<xref ref-type="bibr" rid="B29">29</xref>), which could cause greater damage to the digestive and immune systems and therefore raise relevant costs. For colon cancer, medical costs generally increased from Stage I to Stage IV in our study, although the differences between costs across stages were not significant. It may be because there were fewer colon cancer patients than rectal cancer patients included in our study (175 vs. 363), and the limited number of observations may influence the power of the estimation.</p>
<p>Medication, materials, and examinations were the three major sources of medical costs for CRC, which was similar to a recent research based on a tertiary hospital in Shanghai (<xref ref-type="bibr" rid="B30">30</xref>). The proportions of medication cost in total costs varied from 23% to 29%, depending on the cancer stage and tumor site. This was similar to some foreigner studies conducted in Serbia (31%) (<xref ref-type="bibr" rid="B13">13</xref>) and the EU (27%) (<xref ref-type="bibr" rid="B11">11</xref>), but differed from previous studies in France (5%) (<xref ref-type="bibr" rid="B14">14</xref>), Finland (12% in primary disease state to 60% in metastatic state) (<xref ref-type="bibr" rid="B12">12</xref>), Jordan (54%) (<xref ref-type="bibr" rid="B23">23</xref>), and Vietnam (62%) (<xref ref-type="bibr" rid="B31">31</xref>). Such disparities may be attributed to the differences in drug prices and pharmacy prescription regulations across countries. The proportion of examination cost in our study ranged from 20% to 23%, which was comparable to studies in Serbia (18%) (<xref ref-type="bibr" rid="B13">13</xref>) and Jordan (22%) (<xref ref-type="bibr" rid="B23">23</xref>). The surgery cost made up 11% to 16% of total costs in our study, and the proportions were comparable to those in Serbia (11%&#x02212;13%) (<xref ref-type="bibr" rid="B13">13</xref>), and Vietnam (12%) (<xref ref-type="bibr" rid="B31">31</xref>), but differed from studies in Jordan (5%) (<xref ref-type="bibr" rid="B23">23</xref>) and the US (53%) (<xref ref-type="bibr" rid="B32">32</xref>). The proportion of medication costs in our study witnessed a dramatically decrease from 2020 to 2022, with an annual rate of &#x02212;11.87%. It is worth noting that the Chinese government has been exerting efforts to regulate the medical market to reduce the economic burden of cancer drugs for its citizens, which could partly explain the decreasing proportion of medication costs in our study. However, the proportion of surgery costs increased by 10.07% annually from 2020 to 2022, and this might be attributed to the increased material costs (20.87% in 2020 to 26.92% in 2022).</p>
<p>CRC-related costs were found to be related to patient characteristics. Male patients had significantly higher medical costs than females for rectal cancer, but not for colon cancer. This might be due to the narrower and deeper pelvises of males, which make the treatment of rectal cancer more difficult and therefore costlier (<xref ref-type="bibr" rid="B33">33</xref>). In addition, rectal cancer was found to be more sensitive to smoking (<xref ref-type="bibr" rid="B34">34</xref>) and alcohol consumption (<xref ref-type="bibr" rid="B35">35</xref>) than colon cancer. Males were found more likely than females to have unhealthy lifestyle habits such as alcohol consumption and smoking (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>) that increase the risk of rectal cancer, which may result in higher medical costs. Patients over 80 showed significantly higher costs for rectal cancer in all cost categories than patients below 60, probably due to weaker physical function and poorer immune systems. This feature was also observed in the treatment cost and examination cost for colon cancer. However, previous studies in Western countries have reported a contrasting feature, as seen in France (<xref ref-type="bibr" rid="B14">14</xref>), Finland (<xref ref-type="bibr" rid="B12">12</xref>), and the USA (<xref ref-type="bibr" rid="B38">38</xref>). This highlights the complex relationship between age and CRC-related costs, which is worth further investigation as a research topic. Rectal cancer patients who used TCM had significantly higher CRC-related costs than those who did not. This is probably because patients with TCM usage had a higher average age (74.51 vs. 69.38), and TCM was more likely to be used as a complementary and alternative therapy for older patients (<xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>The findings of this study may have important implications for China&#x00027;s health policies. The stage at diagnosis was found to play a critical role in influencing the costs of rectal and colon cancers. CRC patients at later stages (III and IV) had higher medical costs than patients at earlier stages (I and II). Thus, CRC prevention measures like screening should be encouraged to be implemented for early diagnosis. CRC screening has been widely implemented as a basic public health welfare in many developed countries (<xref ref-type="bibr" rid="B40">40</xref>). In comparison, the current overall CRC screening uptake in China is still limited because of its huge population and limited healthcare resources (<xref ref-type="bibr" rid="B7">7</xref>). The limited participation in CRC screening of Chinese citizens had led to later diagnosis and thus increased the economic burden. In 2019, the Healthy China Action by the Chinese government was proposed to increase the cancer screening coverage of the overall population (<xref ref-type="bibr" rid="B16">16</xref>). To achieve this, the Chinese government may develop risk-prediction models to identify the population at high risk of CRC and introduce health awareness campaigns to encourage participation in CRC screening programs, particularly among population with higher CRC risks (<xref ref-type="bibr" rid="B41">41</xref>). With respect to the cost structure of CRC, medication, materials, and examinations are the three major sources of medical expenditures for rectal cancer and colon cancer. The government may incorporate more types of medication and medical materials into the centralized purchasing system to decrease the economic burden for CRC patients caused by materials and medication. Improvements may also be made in surgical and treatment strategies and technologies to reduce the economic burden of CRC treatment. Additionally, this study also showed the variations in CRC-related costs by patient age and gender, suggesting the potential improvements that could be made in patient treatment strategies for heterogeneous patients.</p>
<p>This study has some strengths relative to previous studies examining the costs of treating CRCs. First, it explored the cost structure of CRC-related costs by dividing costs into six sub-categories, providing more detailed and specific insights into CRC costs. Second, the sample was separated by tumor site (rectum and colon) to better reflect the heterogeneity effect on CRC costs by tumor site. By contrast, previous studies grouped colon cancer and rectal cancer together, without considering their differences in anatomy and treatment (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B30">30</xref>). However, some limitations should be acknowledged. First, due to data limitations, this study did not include outpatient costs such as radiotherapy and chemotherapy. Second, we only included patients diagnosed with CRC and received treatment in the study hospital, while patients who received multiple treatments and those who were transferred to other hospitals were not considered. Third, we did not take into account the impacts of patients&#x00027; social-economic status (SES) on CRC medical costs. Fourth, this study was based on Ningbo in Eastern China, while the incidence rate and CRC medical costs may vary due to regional differences in lifestyle, environment, and SES across different parts of China. This may affect the representativeness and generalizability of our results. A well-designed research with a larger population that includes both direct and indirect costs should be conducted in the future to construct an estimate and prediction of the cost burden on the health system.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>5 Conclusions</title>
<p>This retrospective study estimated the costs of CRC patients by cost category in real-life clinical settings in Ningbo, China. Medication, materials, and examinations were the main cost drivers of CRC treatment. The cost was significantly higher for colon cancer, which was typically identified at a later stage. The mean medical cost increased significantly from Stage I to Stage IV for rectal cancer. The findings suggest implications for the management of rectal and colon cancers, specifically the importance of early screening among the higher risk population for colon cancer and tailored treatment strategies for different tumor sites. Future studies should include the outpatient and indirect costs of CRC, and data from other regions of China.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The data is not publicly available due to privacy or ethical restrictions. If there is a reasonable request, it can be obtained from the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of Ningbo No. 2 Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x00027; legal guardians/next of kin because this was a retrospective observational study.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>Z-BH: Formal analysis, Methodology, Visualization, Writing &#x02013; original draft. J-YH: Writing &#x02013; review &#x00026; editing. SM: Writing &#x02013; review &#x00026; editing. B-XC: Data curation, Writing &#x02013; review &#x00026; editing. H-XM: Data curation, Writing &#x02013; review &#x00026; editing. ZW: Data curation, Writing &#x02013; review &#x00026; editing. X-YD: Data curation, Funding acquisition, Writing &#x02013; review &#x00026; editing. HY: Writing &#x02013; review &#x00026; editing. J-JL: Conceptualization, Project administration, Writing &#x02013; review &#x00026; editing. YL: Conceptualization, Funding acquisition, Methodology, Project administration, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by the Ningbo Science and Technology Bureau (Grant No. 2021S108).</p>
</sec>
<ack><p>We thank the Ningbo No. 2 Hospital in our study for providing the data.</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2025.1605887/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpubh.2025.1605887/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/></sec>
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