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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">dyna</journal-id>
			<journal-title-group>
				<journal-title>DYNA</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Dyna rev.fac.nac.minas</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">0012-7353</issn>
			<issn pub-type="epub">2346-2183</issn>
			<publisher>
				<publisher-name>Universidad Nacional de Colombia</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">10.15446/dyna.v90n227.107276</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Multicriteria decision analysis to support the acquisition of PCR equipment for the detection of COVID-19 in Colombia</article-title>
				<trans-title-group xml:lang="es">
					<trans-title>Análisis de decisión multicriterio para apoyar la adquisición de equipos PCR para la detección de COVID-19 en Colombia</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0009-0000-3405-5649</contrib-id>
					<name>
						<surname>Barragán-López</surname>
						<given-names>Julián</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>a</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0009-0004-9204-7179</contrib-id>
					<name>
						<surname>Caicedo-Mejía</surname>
						<given-names>Yeferson</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>a</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-0253-8379</contrib-id>
					<name>
						<surname>Gómez</surname>
						<given-names>Mauricio</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>a</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-7775-800X</contrib-id>
					<name>
						<surname>Solano-Cristiano</surname>
						<given-names>Nataly</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>b</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-6452-5269</contrib-id>
					<name>
						<surname>Bocanegra-Villegas</surname>
						<given-names>Laura</given-names>
					</name>
					<xref ref-type="aff" rid="aff3"><sup>c</sup></xref>
					<xref ref-type="corresp" rid="c1">*</xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-1614-1898</contrib-id>
					<name>
						<surname>Usaquén-Perilla</surname>
						<given-names>Sandra</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>a</sup></xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>a</label>
				<institution content-type="original"> Biomedical Engineering, Universidad Militar Nueva Granada, Cajicá, Colombia. est.julian.barragan@unimilitar.edu.co, est.yeferson.caicedo@unimilitar.edu.co, mauricio.gomez@unimilitar.edu.co, sandra.usaquen@unimilitar.edu.co</institution>
				<institution content-type="normalized">Universidad Militar Nueva Granada</institution>
				<institution content-type="orgname">Universidad Militar Nueva Granada</institution>
				<addr-line>
					<city>Cajicá</city>
				</addr-line>
				<country country="CO">Colombia</country>
				<email>est.julian.barragan@unimilitar.edu.co</email>
				<email>est.yeferson.caicedo@unimilitar.edu.co</email>
				<email>mauricio.gomez@unimilitar.edu.co</email>
				<email>sandra.usaquen@unimilitar.edu.co</email>
			</aff>
			<aff id="aff2">
				<label>b</label>
				<institution content-type="original"> Bacteriologist and Clinic Lab. Profesional, Bogotá, Colombia. nasocri@gmail.com</institution>
				<institution content-type="orgname">Bacteriologist and Clinic Lab</institution>
				<addr-line>
					<city>Bogotá</city>
				</addr-line>
				<country country="CO">Colombia</country>
				<email>nasocri@gmail.com</email>
			</aff>
			<aff id="aff3">
				<label>c</label>
				<institution content-type="original"> Tecnológico Nacional de México/ I.T. Orizaba, Orizaba, Veracruz, México </institution>
				<institution content-type="orgname">Tecnológico Nacional de México/ I.T</institution>
				<addr-line>
					<city>Orizaba</city>
					<state>Veracruz</state>
				</addr-line>
				<country country="MX">México</country>
			</aff>
			<author-notes>
				<corresp id="c1">
					<label>*</label> Correspondence: valentinabocanegrav@gmail.com</corresp>
			</author-notes>
			<pub-date date-type="pub" publication-format="electronic">
				<day>19</day>
				<month>03</month>
				<year>2024</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">
				<season>Jul-Dec</season>
				<year>2023</year>
			</pub-date>
			<volume>90</volume>
			<issue>227</issue>
			<fpage>77</fpage>
			<lpage>83</lpage>
			<history>
				<date date-type="received">
					<day>15</day>
					<month>02</month>
					<year>2023</year>
				</date>
				<date date-type="rev-recd">
					<day>29</day>
					<month>06</month>
					<year>2023</year>
				</date>
				<date date-type="accepted">
					<day>17</day>
					<month>07</month>
					<year>2023</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/" xml:lang="en">
					<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
				</license>
			</permissions>
			<abstract>
				<title>Abstract</title>
				<p>This study proposes a multicriteria analysis to prioritize equipment alternatives for processing RT-PCR tests to detect the SARS-CoV-2 virus through nasopharyngeal swabbing. The Hierarchical Analysis Process (AHP) based on Health Technology Assessment (HTA) was used to carry out this analysis. For its development, first, a literature review was carried out to identify the five criteria and twelve sub-criteria included that facilitate decision-making in purchasing equipment for the processing of RT-PCR tests; subsequently, the process of using the technology in a healthcare institution was characterized. The results revealed that clinical effectiveness and safety were the most relevant criteria in selecting the proposed technology. Two specific equipment were evaluated to test the usefulness of the multicriteria tool.</p>
			</abstract>
			<trans-abstract xml:lang="es">
				<title>Resumen</title>
				<p>Este estudio propone un análisis multicriterio para priorizar las alternativas de equipos utilizados en el procesamiento de pruebas de RT-PCR para la detección del virus SARS-CoV-2 a través del hisopado nasofaríngeo. Se empleó el Proceso de Análisis Jerárquico (AHP) basado en la Evaluación de Tecnologías en Salud (ETES) para llevar a cabo este análisis. Para su desarrollo, primero se realizó una revisión bibliográfica para identificar los cinco criterios y doce subcriterios incluidos que facilitan la toma de decisiones en la compra de equipos para el procesamiento de pruebas RT-PCR; posteriormente se caracterizó el proceso de uso de la tecnología en una institución prestadora de salud. Los resultados obtenidos revelaron que la efectividad clínica y la seguridad fueron los criterios más relevantes en la selección de la tecnología propuesta. Para comprobar la utilidad de la herramienta multicriterio, se evaluaron dos equipos específicos.</p>
			</trans-abstract>
			<kwd-group xml:lang="en">
				<title>Keywords:</title>
				<kwd>SARS-CoV-2</kwd>
				<kwd>COVID-19</kwd>
				<kwd>RT-PCR</kwd>
				<kwd>HTA-Health Technology Assessment</kwd>
				<kwd>MCDA- Multi-Criteria Decision Analysis</kwd>
				<kwd>AHP- Analytic Hierarchy Process</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<title>Palabras clave:</title>
				<kwd>SARS-CoV-2</kwd>
				<kwd>COVID-19</kwd>
				<kwd>RT-PCR</kwd>
				<kwd>ETES-Evaluación de Tecnologías en Salud</kwd>
				<kwd>MCDA- Análisis de Decisión Multicriterio</kwd>
				<kwd>AHP- Proceso de Análisis Jerárquico</kwd>
			</kwd-group>
			<counts>
				<fig-count count="2"/>
				<table-count count="5"/>
				<equation-count count="0"/>
				<ref-count count="42"/>
				<page-count count="7"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>1. Introduction</title>
			<p>COVID-19 is an infectious disease caused by the acute respiratory syndrome called Coronavirus 2 (SARS-CoV-2). The disease was first identified in December 2019 and has widely spread throughout the globe ever since, causing the COVID-19 pandemic. It has mutated over time into different variants that have infected and killed millions of people and still represent an impending threat to humanity [<xref ref-type="bibr" rid="B1">1</xref>]. Currently, there is no specific treatment for the virus, so an early and accurate diagnosis is crucial to make decisions on how to handle vulnerable patients and begin support-oriented therapy that can improve results, lower mortality rates, and further the success of public healthcare policies seeking to mitigate its spread [<xref ref-type="bibr" rid="B2">2</xref>,<xref ref-type="bibr" rid="B3">3</xref>].</p>
			<p>The reverse transcription polymerase chain reaction (qRT-PCR) of the COVID-19 virus has been defined as a standard diagnosis method. The processing stage takes between 1 and 2 days, depending on the laboratory, the staff, and the sample volume. It is noteworthy to mention that there have been significant false negatives, excessive operational requirements, and high costs linked to this method [<xref ref-type="bibr" rid="B4">4</xref>]; however, it is still considered a mature technique with high sensitivity, which has become the gold standard for detecting the virus in its initial stage [<xref ref-type="bibr" rid="B5">5</xref>].</p>
			<p>The health pandemic prompted the Federal Drug Administration (FDA) to issue emergency use authorizations for hundreds of nucleic acid molecule-based diagnostic tests and serological RT-PCR antibody tests [<xref ref-type="bibr" rid="B6">6</xref>]. Facilitating the commercialization of more than 350 real-time polymerase chain reaction (RT-PCR) test kits specifically designed to detect coronavirus-2019 (COVID-19) disease [<xref ref-type="bibr" rid="B7">7</xref>]. This context led to an inquiry on which technological alternative should be prioritized considering aspects such as sensitivity, specificity, false positives, and false negatives. The latter two can increase the risk of disease transmission and treatment delay [<xref ref-type="bibr" rid="B8">8</xref>], derived from the instability of the reactive elements, viral charge, and unqualified technical staff [<xref ref-type="bibr" rid="B1">1</xref>].</p>
			<p>This research involves a multicriteria analysis for prioritizing PCR technologies for COVID-19 detection in Colombia, given five criteria that directly impact the decision-making process. Additionally, the tool was used to assess two technologies available in the country. This tool will help prioritize alternatives when acquiring said equipment and reduce administrative efforts for healthcare institutions in charge of COVID-19 public management.</p>
		</sec>
		<sec>
			<title>2. Tables and figures</title>
			<p>A bibliographical review was carried out to establish valid criteria for assessing COVID-19 diagnostic technologies. The following search equation was used: ( TITLE-ABS-KEY ( &quot;COVID-19&quot; ) AND TITLE-ABS-KEY ( &quot;Health Technology Assessment&quot; ) OR TITLE-ABS-KEY ( hta ) ) AND ( LIMIT-TO ( PUBSTAGE , &quot;final&quot; ) ) AND ( LIMIT-TO ( DOCTYPE , &quot;ar&quot; ) OR LIMIT-TO ( DOCTYPE , &quot;re&quot; ) OR LIMIT-TO ( DOCTYPE , &quot;cp&quot; ) OR LIMIT-TO ( DOCTYPE , &quot;bk&quot; ) OR LIMIT-TO ( DOCTYPE , &quot;ch&quot; ) ) AND ( LIMIT-TO ( LANGUAGE, &quot;English&quot; ) ) AND ( LIMIT-TO ( PUBYEAR , 2022 ) OR LIMIT-TO ( PUBYEAR , 2021 ) OR LIMIT-TO ( PUBYEAR , 2020 ) ).</p>
			<p>The literature review listed 59 articles published between 2020 and 2022, with an annual growth rate of 152.98%. Some research areas stand out: biochemistry, genetics, and molecular biology (47%), immunology and microbiology (8.7%), and pharmacology, toxicology, and pharmaceutics (7.7%). Nonetheless, the topic of decision-making processes was only found in 1% of the articles listed. Furthermore, the articles were primarily published in the United Kingdom (20.4%), Italy (9.3%), the Netherlands (6.5%), the United States (6.5%), and Canada (3.7%). Only Brazil (2,8%) and Peru (1,9%) have published in Latin America. <xref ref-type="fig" rid="f1">Fig. 1</xref> shows the number of articles per country in blue and the collaborations between countries in red lines.</p>
			<p>Regarding analyzing the technology assessment criteria, the bibliographical review highlighted the work in [<xref ref-type="bibr" rid="B8">8</xref>-<xref ref-type="bibr" rid="B15">15</xref>] to characterize the selected criteria: safety, clinical effectiveness, economic aspect, organizational aspect, and legal aspect. The selection of sub-criteria involved consulting healthcare professionals with experience in RT-PCR test processing. Biomedical technology providers, technical support engineers from clinical laboratories, and healthcare staff were included to gather information on thermocyclers and technology use. The data given by the providers are kept anonymous to meet confidentiality agreements and thus will be labeled as Equipment 1 and Equipment 2.</p>
			<p>The process was characterized for the COVID-19 RT-PCR test within the healthcare institutions encompassed by the study. The characterization allowed for the complex integration of requirements, criteria, assets, and equipment necessary for extracting and processing samples. The AHP multicriteria decision-making technique was chosen since it is widely used in different research areas such as engineering, computer science, business management, and accounting [<xref ref-type="bibr" rid="B16">16</xref>-<xref ref-type="bibr" rid="B20">20</xref>]. One of its most important characteristics is its natural ability to perform bi-univocal comparisons via matrix-based operations, allowing it to prioritize elements at one level with elements at a higher level [<xref ref-type="bibr" rid="B21">21</xref>].</p>
			<p>Developing the multicriteria tool required forming a team of experts with technical knowledge to assess the standards discussed in the literature and possible PCR analysis alternatives. The results were organized into three levels of hierarchy. The goal of the assessment was set at the upper level. The criteria were established at the intermediate level. The sub-criteria and research questions were determined at the lower level. Pair-based comparisons were made of the importance of the control criteria regarding the general purpose. Additionally, a pair-based ponderation was carried out on the importance of the sub-criteria regarding each control criterion.</p>
			<p>
				<fig id="f1">
					<label>Figure 1</label>
					<caption>
						<title>Collaboration WorldMap.</title>
					</caption>
					<graphic xlink:href="2346-2183-dyna-90-227-77-gf1.png"/>
					<attrib>Source: The Authors. with Bibliometrix R Package (2022) [<xref ref-type="bibr" rid="B22">22</xref>].</attrib>
				</fig>
			</p>
			<p>Once the experts had established the comparison matrices, the information was gathered in a square matrix that computed the geometric mean, defined as the nth root of the product of comparisons. Afterward, each criterion was assigned a numeric value, and its importance was quantified in a preference vector (Ni). This definition was cyclically iterated until the preference vector reached a stable state.</p>
			<p>It was ensured that the consistency index of the paired matrices remained below 10%. The sub-criteria were established for each criterion by assessing the preference vectors of the sub-criteria and alternatives and listing the alternatives in an ascending order (where 1 represents the highest priority according to the computed value of Ck).</p>
		</sec>
		<sec sec-type="results">
			<title>3. Results</title>
			<p>Four professionals were selected from the group participating in the acquisition process and technology usage based on their education and expertise. Their profiles are described in <xref ref-type="table" rid="t1">Table 1</xref>.</p>
			<p>The literature review identified the following assessment criteria:</p>
			<p>
				<list list-type="bullet">
					<list-item>
						<p>Safety: Seeks to minimize patient and staff harm [<xref ref-type="bibr" rid="B23">23</xref>]. It includes elements regarding the use of medical devices [<xref ref-type="bibr" rid="B24">24</xref>].</p>
					</list-item>
					<list-item>
						<p>Economic aspect: It assesses the budget-related impact for the institution that plans to acquire the equipment [<xref ref-type="bibr" rid="B24">24</xref>]. It includes equipment, resources, and labor costs for sample processing and analysis [<xref ref-type="bibr" rid="B25">25</xref>].</p>
					</list-item>
					<list-item>
						<p>Organizational aspect: It encompasses the required staff, infrastructure, and training for the staff [<xref ref-type="bibr" rid="B26">26</xref>-<xref ref-type="bibr" rid="B28">28</xref>].</p>
					</list-item>
					<list-item>
						<p>Clinical effectiveness: It considers accuracy-related metrics of the device, such as sensitivity, specificity, repeatability, precision, and comparison to a standard pattern. Clinical effectiveness is a critical factor in the assessment of diagnostic devices. According to the referenced sources, it is the most common criterion in HTA [<xref ref-type="bibr" rid="B26">26</xref>,<xref ref-type="bibr" rid="B29">29</xref>].</p>
					</list-item>
					<list-item>
						<p>Legal aspect: The legal aspect considers the informed consent of the patient as well as their privacy and confidentiality while using the device. It also includes the legal requirements to acquire a device, the warrant policy, and the compliance with market regulations [<xref ref-type="bibr" rid="B29">29</xref>,<xref ref-type="bibr" rid="B30">30</xref>]. Processing times, maintenance, and technical support from providers are factored into this criterion [<xref ref-type="bibr" rid="B31">31</xref>].</p>
					</list-item>
				</list>
			</p>
			<p>
				<xref ref-type="table" rid="t2">Table 2</xref> shows the five criteria and twelve sub-criteria that were most predominant according to the literature review. These were checked to be complete, non-redundant, and independent.</p>
			<p>
				<table-wrap id="t1">
					<label>Table 1</label>
					<caption>
						<title>Profile of the decision-making group</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Expert</th>
								<th align="center">Description</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center">1</td>
								<td align="left">Administrative Director of a Clinic in the savannah of Cundinamarca</td>
							</tr>
							<tr>
								<td align="center">2</td>
								<td align="left">Purchasing manager of a clinic in the savannah of Cundinamarca</td>
							</tr>
							<tr>
								<td align="center">3</td>
								<td align="left">Biomedical Engineer who plays this role in the hospital environment for a Clinic in the Savannah of Cundinamarca</td>
							</tr>
							<tr>
								<td align="center">4</td>
								<td align="left">Bacteriologist with PCR test processing experience</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN1">
							<p>Source: The Authors.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
			<p>
				<table-wrap id="t2">
					<label>Table2. Decision</label>
					<caption>
						<title>criteria and sub-criteria</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Criteria</th>
								<th align="center">Sub-criteria</th>
								<th align="center">Definition</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center" rowspan="3">Safety</td>
								<td align="justify">Risk associated with healthcare personnel</td>
								<td align="justify">Hazards to which care personnel are exposed during the process [<xref ref-type="bibr" rid="B32">32</xref>]</td>
							</tr>
							<tr>
								<td align="justify">Associated adverse events</td>
								<td align="justify">Damage associated with care personnel, operator, or the environment because of the use of the equipment [<xref ref-type="bibr" rid="B33">33</xref>]</td>
							</tr>
							<tr>
								<td align="justify">False positives and negatives</td>
								<td align="justify">The probability of getting a positive test in a patient who does not have the disease or the probability of having a test result is negative when the patient has the disease.[<xref ref-type="bibr" rid="B34">34</xref>], [<xref ref-type="bibr" rid="B35">35</xref>]</td>
							</tr>
							<tr>
								<td align="center" rowspan="2">Economic</td>
								<td align="justify">Cost of equipment</td>
								<td align="justify">Global price of the equipment in the market, in this case, the price the manufacturer assigns when it is launched on the market, including its after-sales services.</td>
							</tr>
							<tr>
								<td align="justify">Resources and inputs</td>
								<td align="justify">Personnel needed to operate the equipment and what supplies it needs to function correctly.</td>
							</tr>
							<tr>
								<td align="center">Organizational</td>
								<td align="justify">Infrastructure</td>
								<td align="justify">Physical requirements for the operation of the equipment, including modifications and adaptations required for the location of the equipment, in addition to the requirements in infrastructures proposed by ISO 15189 2022.[<xref ref-type="bibr" rid="B31">31</xref>]</td>
							</tr>
							<tr>
								<td align="justify"> </td>
								<td align="justify">Personnel and training</td>
								<td align="justify">Bacteriologists in charge of processing Covid-19 tests. Training is provided by suppliers to staff.</td>
							</tr>
							<tr>
								<td align="justify"> </td>
								<td align="justify">Quality control</td>
								<td align="justify">
									<p>
										<list list-type="simple">
											<list-item>
												<p>Inspection and maintenance of equipment that minimizes failures during use through two processes:</p>
											</list-item>
											<list-item>
												<p>1. Internal control: continuous processes and improvements in results by reducing failures</p>
											</list-item>
											<list-item>
												<p>2. External Control: comparison of various equipment [<xref ref-type="bibr" rid="B36">36</xref>].</p>
											</list-item>
										</list>
									</p>
								</td>
							</tr>
							<tr>
								<td align="center">Clinical effectiveness</td>
								<td align="justify">Measurement</td>
								<td align="justify">Evaluates sensitivity, specificity, effectiveness, and accuracy [<xref ref-type="bibr" rid="B37">37</xref>]</td>
							</tr>
							<tr>
								<td align="center" rowspan="3">Legal Technician</td>
								<td align="justify">Technical service</td>
								<td align="justify">The after-sales service provided by the supplier corresponds to preventive and corrective maintenance that the equipment needs during the loan or sale, according to the negotiation in the tender. It also includes the automatic fault solutions that the equipment has and the modality of provision of the technical service.</td>
							</tr>
							<tr>
								<td align="justify">Times</td>
								<td align="justify">Refers to the supplier's response times to equipment failure to perform corrective maintenance. It also considers the test processing times the team uses.</td>
							</tr>
							<tr>
								<td align="justify">Characteristics</td>
								<td align="justify">Global technical characteristics of the equipment such as number of simultaneous tests it can process, what type of tests it processes, software and interfaces for communication and transmission of information, and its useful life.</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN2">
							<p>Source: The Authors.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
			<p>
				<table-wrap id="t3">
					<label>Table 3</label>
					<caption>
						<title>Preference vector</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Criteria</th>
								<th align="center">Preference vector of criteria</th>
								<th align="center">Sub-Criteria</th>
								<th align="center">Preference vector of sub-criteria</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="justify">Clinical effectiveness</td>
								<td align="center">32.7%</td>
								<td align="justify">Measurement</td>
								<td align="center">100%</td>
							</tr>
							<tr>
								<td align="justify">Safety</td>
								<td align="center" rowspan="3">29.8%</td>
								<td align="justify">Adverse events</td>
								<td align="center">49%</td>
							</tr>
							<tr>
								<td align="justify">Risk associated with healthcare personnel</td>
								<td align="center">35.7%</td>
							</tr>
							<tr>
								<td align="justify">False positives and negatives</td>
								<td align="center">15.3%</td>
							</tr>
							<tr>
								<td align="justify">Economic</td>
								<td align="center" rowspan="2">16.4%</td>
								<td align="justify">Cost of equipment</td>
								<td align="center">50%</td>
							</tr>
							<tr>
								<td align="justify">Resources and inputs</td>
								<td align="center">50%</td>
							</tr>
							<tr>
								<td align="justify">Legal Technician</td>
								<td align="center" rowspan="3">10.8%</td>
								<td align="justify">Technical service</td>
								<td align="center">36.4%</td>
							</tr>
							<tr>
								<td align="justify">Times</td>
								<td align="center">29%</td>
							</tr>
							<tr>
								<td align="justify">Characteristics</td>
								<td align="center">34.6%</td>
							</tr>
							<tr>
								<td align="justify">Organizational</td>
								<td align="center" rowspan="3">10.3%</td>
								<td align="justify">Infrastructure</td>
								<td align="center">28.7%</td>
							</tr>
							<tr>
								<td align="justify">Personnel and training</td>
								<td align="center">22.1%</td>
							</tr>
							<tr>
								<td align="justify">Quality control</td>
								<td align="center">49.1%</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN3">
							<p>Source: The Authors.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
			<p>
				<fig id="f2">
					<label>Figure 2</label>
					<caption>
						<title>Results of the hierarchical level structuring and the alternatives</title>
					</caption>
					<graphic xlink:href="2346-2183-dyna-90-227-77-gf2.png"/>
					<attrib>Source: The Authors.</attrib>
				</fig>
			</p>
			<p>The hierarchical structure is presented in <xref ref-type="fig" rid="f2">Fig. 2</xref>, including the assessment's equipment, criteria, and sub-criteria. This structure is based on the work of Saaty [<xref ref-type="bibr" rid="B38">38</xref>,<xref ref-type="bibr" rid="B39">39</xref>].</p>
			<p>The expert responses were collected in <xref ref-type="table" rid="t3">Table 3</xref> with a consistency index 0.077.</p>
			<p>The results of the preference vector were used to assess the two medical equipment in <xref ref-type="table" rid="t4">Table 4</xref>. Equipment 2 prioritized the safety criteria with 53.16%, while Equipment 1 scored 46.18%.</p>
			<p>
				<table-wrap id="t4">
					<label>Table 4</label>
					<caption>
						<title>Results of the assessment</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Criteria</th>
								<th align="center">Equipment 1</th>
								<th align="center">Equipment 2</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="justify">Clinical effectiveness</td>
								<td align="center">50%</td>
								<td align="center">50%</td>
							</tr>
							<tr>
								<td align="justify">Safety</td>
								<td align="center">46.18%</td>
								<td align="center">53.82%</td>
							</tr>
							<tr>
								<td align="justify">Economic</td>
								<td align="center">54.17%</td>
								<td align="center">45.83%</td>
							</tr>
							<tr>
								<td align="justify">Legal Technician</td>
								<td align="center">32.25%</td>
								<td align="center">67.75</td>
							</tr>
							<tr>
								<td align="justify">Organizational</td>
								<td align="center">50%</td>
								<td align="center">50%</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN4">
							<p>Source: The Authors</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
			<p>The clinical effectiveness and organizational criteria showed similar features for both equipment and had the same weight in the assessment. Equipment 1 obtained an economic criterion of 54.17% compared to 45.83% for Equipment 2, given some differences in pricing and post-sale services that improved the overall product. The legal aspect marks a significant advantage for Equipment 2, scoring 67.75% compared to 32.25% for Equipment 1; this was primarily due to certain features, such as the useful life of the equipment.</p>
			<p>After the criteria and sub-criteria percentages of the expert responses were tallied, both equipment were assessed with the tool leading to the preference vector in <xref ref-type="table" rid="t5">Table 5</xref>. Equipment 2 is slightly better than Equipment 1.</p>
			<p>
				<table-wrap id="t5">
					<label>Table 5</label>
					<caption>
						<title>Results of the assessment</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Equipment</th>
								<th align="center">Rate</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center">2</td>
								<td align="center">52.4%</td>
							</tr>
							<tr>
								<td align="center">1</td>
								<td align="center">47.6%</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN5">
							<p>Source: The Authors.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</p>
		</sec>
		<sec sec-type="discussion">
			<title>4. Discussion</title>
			<p>Businesses targeting in-vitro diagnostic methods have increasingly automated equipment that meets the features analyze in this study [<xref ref-type="bibr" rid="B40">40</xref>]; however, economic limitations or even infrastructure conditions are needed for molecular testing, given the sample volumes and types of patients handled by healthcare institutions.</p>
			<p>The methods described in this work enable an assertive selection of the technology required by healthcare institutions while also meeting the intrinsic needs of the service. It is essential to remember that respiratory illnesses' symptoms are similar, and in vitro molecular diagnostics methods can identify the agents causing the illness at an early stage. Real-time PCR not only allows the differentiation of causal agents (fungi, bacteria, viruses, or parasites) but also contributes to offering timely and effective treatment to the patients, which increases the control of antibiotic resistance, pandemic status control, and the reduction of hospital occupation and healthcare costs.</p>
			<p>Different tests can support patient care and disease control, specifically regarding COVID-19; some tests can directly detect the virus (antibody detection or PCR), while others can detect the immune response to the virus (antibodies). According to SARS-CoV-2 guidelines issued by the Health Ministry, PCR tests are official laboratory confirmations of COVID-19 since they are based on the detection of genetic sequences of the virus (RNA). These also have high sensitivity and specificity and are approved by the PAHO/WHO to confirm the diagnosis of the disease [<xref ref-type="bibr" rid="B41">41</xref>].</p>
			<p>Real-time PCR tests are based on obtaining complementary DNA (cDNA) from an RNA chain through reverse transcription (RT). Subsequently, small viral genome sequences are detected using real-time PCR, seen as the gold standard in diagnosis and epidemiologic tracking of the disease. Nonetheless, the incubation period plays a significant role in the detection process, given that the presence of the virus is less likely during the first five days of the illness. A successful and effective patient diagnosis is linked to different variables: exposure time, presence and severity of the symptoms, viral load present in the blood, sample quality and origin (lower or upper respiratory tract), type, class, and testing method. This method requires approximately 1 hour for extraction and 3 hours for amplification, with a window of opportunity of 1 day. It also allows the simultaneous processing of various samples.</p>
			<p>Multiplex PCR is another standard detection method that simultaneously identifies pathogens causing respiratory infections in less than 1 hour without requiring manual or mechanical extraction. This rapid detection reduces the chance of contamination and variability in the processes of the staff in charge of the test. These are highly sensitive and specific while also being approved by health regulators. In an hour, one patient can be processed [<xref ref-type="bibr" rid="B42">42</xref>].</p>
			<p>The research implemented a multicriteria tool to support acquiring PCR equipment to detect COVID-19 in Colombia. This tool can be applied in acquiring medical equipment of these characteristics in other countries. The criteria focused on safety and clinical effectiveness compared with other relevant economics, legal technician, and organizational aspects.</p>
			<p>Regarding clinical effectiveness, the questions aim to obtain precise and detailed information on the characteristics of the equipment, such as sensitivity, specificity, and precision, with the aim of understanding and evaluating performance in terms of its ability to detect and measure precisely critical aspects of the equipment. It will end that clinical effectiveness plays a fundamental role and has a higher impact on other assessment criteria. It is essential to diagnose in the shortest possible time to define appropriate behavior and achieve an effective, efficient, and timely improvement in the patient.</p>
			<p>The safety criteria focused on obtaining relevant information on the risks associated with using the equipment, knowing if the healthcare personnel have experienced injuries during its use, and what those injuries have been. In addition, to obtain data on adverse events reported using the medical equipment. Finally, information on the percentage of false positives and false negatives related to the personnel and the test processing was considered.</p>
			<p>The technician legal and organizational criteria present similar weightings (10.8% and 10.3%) attributable to the standardization of these criteria in the market under sub-criterion such as customer service, hourly availability for telephone or virtual attention, total processing time, number of simultaneous tests that the equipment can process and whether it is capable of processing tests of a different type than those of Covid-19 and useful life of the equipment in years. Regarding the organizational criteria, sub-criteria are evaluated, such as relevant information on the sales process, training, and quality control following quality standards, availability and flexibility of training, and device quality assurance.</p>
			<p>The tool developed in this research is made available to any institution interested in acquiring PCR-test equipment for the detection of COVID-19. The results presented in this work are restricted by the information given by the technology providers.</p>
		</sec>
		<sec sec-type="conclusions">
			<title>5. Conclusions</title>
			<p>The success of the RT-PCR mainly depends on the pre-and post-analytical variables of the sample processing. Many factors can lead to false negatives, such as deterioration of the genetic material and insufficient extraction. Test results are influenced by various conditions: adequate uptake, transportation, preservation of the samples, storage, and preservation of reactive components, and the training and expertise of the staff in charge.</p>
			<p>The proposed model implemented a systematic approach based on hierarchical analysis to evaluate in a multicriteria way the acquisition of PCR tests for detecting COVID-19 in a health institution. The objective was to solve the general problem by identifying the relevant criteria and sub-criteria, which were evaluated using technical information, data provided by health organizations, and statements from the representatives of the brands in Colombia.</p>
			<p>This methodology made it possible to identify the best alternative through mathematical tools, which contributed to reducing the subjectivity and uncertainty associated with the decision-making process. By applying a multicriteria approach, it was possible to recognize and work within the framework of the existing organizational culture, which favored greater objectivity in the evaluation and selection of PCR equipment.</p>
			<p>The sample's clinical effectiveness and processing time significantly impact the assessment of the medical equipment and the in vitro diagnostic reactive agents. In contrast, the legal and organizational aspects are considered secondary.</p>
		</sec>
	</body>
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		<fn-group>
			<fn fn-type="other" id="fn1">
				<label>How to cite:</label>
				<p> Barragán-López, J., Caicedo-Mejía, Y., Gómez, M., Solano-Cristiano, N., Bocanegra-Villegas, L. and Usaquén-Perilla, S., Multi-criteria decision analysis to support the acquisition of PCR equipment for the detection of COVID-19 in Colombia. DYNA, 90(227), pp. 77-83, July - September, 2023.</p>
			</fn>
		</fn-group>
		<fn-group>
			<fn fn-type="other" id="fn2">
				<label>J.F. Barragán-López,</label>
				<p> Received the BSc. Eng. in Biomedical Engineering, from the Universidad Militar Nueva Granada, Colombia. He is currently a student specializing in university teaching at Universidad Piloto de Colombia. He has experience writing and advising on documents related to biomedical sciences, including biomedical engineering, bioengineering, and medicine. His research interests include engineering design, modeling, and simulation. ORCID: 0009-0000-3405-5649</p>
			</fn>
			<fn fn-type="other" id="fn3">
				<label>Y.J. Caicedo-Mejía,</label>
				<p> Received the BSc. Eng. in Biomedical Engineering, from the Universidad Militar Nueva Granada, Colombia. He is currently working in the clinical engineering area of Clínica Chía SAS. His focus covers technical support engineering, fault diagnosis, simulation, electronics, and administrative issues related to the hospital approach and technology evaluation. ORCID: 0009-0004-9204-7179.</p>
			</fn>
			<fn fn-type="other" id="fn4">
				<label>M.A. Gómez-Figueroa,</label>
				<p> Is MSc. of Business Administration with an emphasis on innovation and prospective in 2021, from the Universidad Externado de Colombia. He is currently a finance and international business student at Fundación Universitaria del Área Andina, Colombia. He is a professor of the biomedical engineering program at the Universidad Militar Nueva Granada, Colombia. His research approach covers Health Technology Assessment, health economics, and health innovation. ORCID: 0000-0002-0253-8379.</p>
			</fn>
			<fn fn-type="other" id="fn5">
				<label>N. Solano-Cristiano,</label>
				<p> Is graduated as Bacteriologist and Clinic Lab professional in 2012, from the University Colegio Mayor de Cundinamarca, Colombia. Experienced university teaching Specialist and holds a MSc. in Higher Education Teaching in 2022, from Universidad El Bosque, Colombia. She has experience working in all levels of medical laboratories in different areas, expertise as a technical assessor, experience in teaching and training post-graduate professionals in all healthcare fields, diversified knowledge in the management of student virtual platforms, and continuous learning education. She had Ad Honorem recognitions for over five years from Universities like Colegio Mayor de Cundinamarca and Pontificia Universidad Javeriana, Colombia. ORCID: 0000-0002-7775-800X.</p>
			</fn>
			<fn fn-type="other" id="fn6">
				<label>L.V. Bocanegra-Villegas,</label>
				<p> Is a MSc. in industrial engineering from the National Technology of Mexico. PhD. student in Engineering Sciences at the same institution. With research experience in risk management logistics, humanitarian logistics, and biomedical engineering with areas of interest in modeling and dynamic simulation and multicriteria techniques. ORCID: 0000-0001-6452-5269.</p>
			</fn>
			<fn fn-type="other" id="fn7">
				<label>S.P. Usaquén-Perilla,</label>
				<p> Received a MSc. in Biomedical Engineering in 2008 from the Universidade Federal do Rio de Janeiro, Brazil. She is currently a PhD. student in Industrial Engineering at Universidad del Valle, Colombia. She is a professor of the biomedical engineering program at the Universidad Militar Nueva Granada, Colombia. Her research approach covers Health Technology Assessment, technology management, and clinical engineering. ORCID: 0000-0003-1614-1898.</p>
			</fn>
		</fn-group>
	</back>
</article>