<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JBiSE</journal-id><journal-title-group><journal-title>Journal of Biomedical Science and Engineering</journal-title></journal-title-group><issn pub-type="epub">1937-6871</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jbise.2022.154012</article-id><article-id pub-id-type="publisher-id">JBiSE-117075</article-id><article-categories><subj-group subj-group-type="heading"><subject>Review</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  ePROMs in the End of Life and in Making Ethical Decisions. An Integrative Review with Narrative
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nuno</surname><given-names>Miguel Moreira Santos</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abel</surname><given-names>García Abejas</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Àngels</surname><given-names>Salvador Vergès</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Hospital Lusíadas, Lisbon, Portugal</addr-line></aff><aff id="aff3"><addr-line>SITT Ethics Group (GES), Spain/Portugal</addr-line></aff><aff id="aff1"><addr-line>Faculty of Health Sciences, University of Beira Interior (UBI), Covilh&amp;amp;#227;, Portugal</addr-line></aff><pub-date pub-type="epub"><day>29</day><month>04</month><year>2022</year></pub-date><volume>15</volume><issue>04</issue><fpage>109</fpage><lpage>128</lpage><history><date date-type="received"><day>6,</day>	<month>April</month>	<year>2022</year></date><date date-type="rev-recd"><day>26,</day>	<month>April</month>	<year>2022</year>	</date><date date-type="accepted"><day>29,</day>	<month>April</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: Patient-reported outcome measures (PROMS) are essential tools in clinical practice and research to assess patients’ needs from their unique perspectives. They allow the healthcare team to monitor patient status and concerns outside the clinical setting. However, the real innovation in this field is its digitization: electronic patient-reported outcome measures (ePROMs). Aims: This review aimed to get an overview of whether these new technologies are being used to aid palliative care teams in their daily struggle to provide comfort to their patients. Methods: We conducted a systematic review of articles retrieved from PubMed and Web of Science, up to November 2021. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. The search strategy yielded 242 records, of which 13 met the predefined inclusion and exclusion criteria. In addition, relevant information related to ePROMs was extracted from each study. Results: Outcomes were grouped into the quality of life assessment, symptom burden and simple assessments, and the decision to introduce Palliative Cures (PC). In 61.5% of cases, ePROMs positively impacted patients’ quality of life. Furthermore, in 46.15% of cases, ePROMs led Primary Care (PC) teams to make an ethical decision; the same relative value as in the circumstances did not define the direction in ethical terms. Conclusion: Remind professionals and patients that these tools exist and can be applied in many situations. If used correctly, they can provide patients with a better quality of life and more complete information for professionals.
 
</p></abstract><kwd-group><kwd>ePROMs</kwd><kwd> Palliative Care</kwd><kwd> Systematic Review</kwd><kwd> Quality of Life</kwd><kwd> End of Life</kwd><kwd> Decision Making</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. INTRODUCTION</title><p>In patient-centered care, patient-reported outcome measures (PROMs) are the gold standard for efficiently assessing patients’ feelings, thoughts and complaints about a clinical intervention or disease [<xref ref-type="bibr" rid="scirp.117075-ref1">1</xref>].</p><p>Manuscript is here to view linked references. In this review, the tool we will be dealing with is electronic patient-reported outcome measures (ePROMs). They are defined by consensus as assessing the quality and effectiveness of healthcare measured and reported directly by the patient. The actual definition was introduced in 2017 by Medical Subjects Headings updated (MeSH) by the US National Library of Medicine. Traditionally, patient-reported outcomes (PROs), such as health-related quality of life, have been used at the aggregate level. However, these data are being used as a measurement tool in clinical trials, observational studies, and other studies as a primary way to record patient feedback [<xref ref-type="bibr" rid="scirp.117075-ref2">2</xref>].</p><p>As some studies show [3 - 5], a closer relationship between technology and healthcare has begun to develop, as seen in electronic health records (EHRs). Its origin dates back to the 1970s in the USA, but it was limited to academic purposes, and forms were still handwritten and stored on paper. In the 1990s, consumer electronics emerged, and the first Windows-based medical records were launched. In the 2000s, the information included in these records expanded.</p><p>Patient-reported outcome measurement, electronic health records and comparative effectiveness research have converged into a more patient-centered, technology-driven space.</p><p>Seeing these technological advances raises some questions: Are our palliative care physicians keeping up with this type of technology? Are they missing out on essential tools to address patient needs? The answer to this question may not be a mystery after all, according to one of the articles, “the use of patient-reported outcomes (PROs) is the gold standard for the assessment and treatment of physical and psychological symptoms, but many existing tools are not designed for use in a complex clinical setting.”</p><p>We use this statement to guide our study to find evidence that ePROMs are being used to their full extent in Palliative Care practice or end-of-life settings.</p></sec><sec id="s2"><title>2. OBJECTIVES</title><p>The main objective was to establish and connect the three domains of this review, the first being their use at the end of life, the second the use of ePROMs and the third the ethical decisions involved in this type of patient.</p>Our Review Questions Were<p>Main:</p><p>1) How are ePROMs used in palliative care and in the care of life-threatening diseases?</p><p>Secondary questions:</p><p>1) Are ePROMs used to guide clinical decisions in end-of-life scenarios?</p><p>2) Do ePROMs have a positive impact on patients’ well-being?</p><p>3) Do ePROMs guide medical teams toward ethical decisions?</p></sec><sec id="s3"><title>3. METHODS</title><p>An integrative review with narrative synthesis was performed. An integrative review is a specific review method that summarizes the empirical or theoretical literature to fully understand a particular health phenomenon or problem. The integrative review contributes to the presentation of diverse perspectives on a phenomenon of interest [<xref ref-type="bibr" rid="scirp.117075-ref6">6</xref>].</p><p>The advantage of this type of review is that many studies can be used to gather information related to the question at hand. Because of this perceived ease in collecting studies, the articles selected were of 10 different designs, including questionnaires in the clinical setting, Randomized Clinical Trial (RCT), Controlled Clinical Trial (CCT), secondary analysis, integrated knowledge translation approach, exploratory research, feasibility study, prospective randomized study, web based survey, observational study [7 , 8].</p><p>The research procedure consisted of three steps (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>The PICO model was used to define the criteria for assessing study eligibility.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Inclusion and exclusion criteria</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Inclusion</th><th align="center" valign="middle" >Exclusion</th></tr></thead><tr><td align="center" valign="middle" >Original peer-reviewed studies</td><td align="center" valign="middle" >Reviews, grey literature, commentaries, opinion articles or conferences</td></tr><tr><td align="center" valign="middle" >In English or Portuguese</td><td align="center" valign="middle" >Theses/dissertations</td></tr><tr><td align="center" valign="middle" >Study designs included</td><td align="center" valign="middle" >Not used in palliative care, end-of-life or life-threatening conditions</td></tr></tbody></table></table-wrap><sec id="s3_1"><title>3.1. Information Sources and Search Strategy</title><p>A computerized search strategy was performed with the PRESS (Peer Review Electronic Search Strategies) protocol to have a lower margin of error and increase the possibility that the records obtained were eligible for data extraction. We used this protocol to conform the search, using three keywords, MeSH (Medical Subject Headings) and detailed entry terms. This initial search yielded 242 records (Appendix).</p></sec><sec id="s3_2"><title>3.2. Characteristics of the Study</title><p>The results of this systematic review are based on 13 articles [9 - 21]. All data are compiled in Table, 3 divided into 8 categories: Authors; Journal; Year of publication; Participants involved.</p><p>Intervention studied; Context of use of ePROMs and study time; Results of the intervention and results needed for this specific review finally, the Design of the study.</p></sec><sec id="s3_3"><title>3.3. Selection of Studies</title><p>Screening and selection were performed first on the title and abstract and secondly on the full text. Only full-text articles published in English and Portuguese were included. Additional information was collected on access to quality of life [<xref ref-type="bibr" rid="scirp.117075-ref22">22</xref>], randomized studies [<xref ref-type="bibr" rid="scirp.117075-ref23">23</xref>], and patient report articles in different specialties and mixed methods [23 - 26] (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s3_4"><title>3.4. Data Collection</title><p>All data are compiled in <xref ref-type="table" rid="table3">Table 3</xref> divided into 8 categories: Authors; Journal; Year of publication. Participants involved; Intervention studied; Context of use of ePROMs and years; Results of the intervention and results needed for this specific review and finally, the Design of the study.</p></sec></sec><sec id="s4"><title>4. RESULTS</title><p>The literature search and study selection results are shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>. In summary, 235 records were identified after eliminating duplicates. After screening titles and abstracts, 104 eligible studies remained, and the full-text versions were reviewed. After reading the full text, 13 articles that met the predefined inclusion and exclusion criteria were included in this systematic review.</p><p>Full-text articles were retrieved through the first authors’ University accounts when a record was assessed as eligible.</p><p>From a total of 13 studies, data were extracted in several categories. The oldest article selected is from 2011, and the most recent report is from 2021, i.e., ten years. The mode is from 2018.</p><p>The most relevant articles were published during these years, which tells us that it is a relatively recent topic.</p><p>The ePROMs tend to have a role more akin to academic research tools; only recently has there actual use in clinical practice has been developed. However, much progress is being made, as evidenced by a</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> PICOD method for data extraction</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Participants P</th><th align="center" valign="middle" >Patients underwent palliative care or treatment for life-threatening illnesses with no age restrictions. Family members of patients may be included if they are sole participants.</th></tr></thead><tr><td align="center" valign="middle" >Intervention I</td><td align="center" valign="middle" >Any direct or indirect use of ePROMs in the treatment or plan in CP or CFL, including (but not limited to) comfort measures, symptom/suffering relief, side effect atonement, symptom assessment, coping assessment, QOL assessment, QOC assessment, prognostic evolution, and CP introduction/intervention decision.</td></tr><tr><td align="center" valign="middle" >Context C</td><td align="center" valign="middle" >Palliative care, end of life, life-threatening illnesses.</td></tr><tr><td align="center" valign="middle" >Outcomes O</td><td align="center" valign="middle" >Any outcome including (but not limited to) outcomes directly or indirectly related to the use of ePROMs in quality of life modifiers, disease progression, PC intervention, symptom burden assessment/modifier.</td></tr><tr><td align="center" valign="middle" >Design D</td><td align="center" valign="middle" >Any peer-reviewed studies including (but are not limited to) questionnaires in the clinical setting, randomized clinical trials, controlled clinical trials, web-based surveys (following CHERRIES), secondary analyses, integrated knowledge translations, exploratory analyses, feasibility studies, prospective randomized studies.</td></tr></tbody></table></table-wrap><p>study by Bausewein et al. “Patient reported outcome measures (PROMs) are used in clinical care (e.g., assessing the health status and needs of patients in a hospital at admission), audit (quality assurance of services) and research (e.g., studying the effectiveness of an intervention). The measurement of effects and outcomes on patients is also central to end-of-life (eol) care and the conduct of research in eol care”.</p><p>In terms of context, the most studied context is palliative care [8 , 10 , 11 , 15 , 16] with records involving its use in a PC setting (referring to the particular case of this review, since one of the research domains is end-of-life), followed by life-threatening conditions, with one record indicating that it was the main context of the study.</p><p>Regarding question number one of this review, the following frequency table illustrates the primary uses of ePROMs in clinical practice: As a response to the fourth question.</p><sec id="s4_1"><title>4.1. First Question</title><p>How are ePROMs used in palliative care and in the care of life-threatening diseases? (<xref ref-type="table" rid="table4">Table 4</xref>)</p><p>In this table, we report the number of items that refer to the specified items and which we consider the key ones. We have that the primary use of ePROMs, found in the 13 selected articles, is Quality of Life Assessment, followed by Symptom Burden and Simple Symptom Assessment. In third place, we see the decision to implement palliative care using ePROMs.</p><p>Finally, in a triple tie for fourth place, we found the Evolution of the disease and the use of prognosis, the Descriptive role (being that in the particular case of that study), was the description of the last six months of the patient’s life and was used for the Acquisition and provision of patient information to guide and train palliative care professionals.</p></sec><sec id="s4_2"><title>4.2. Second Question</title><p>Are ePROMs used to guide clinical decisions in end-of-life scenarios? (<xref ref-type="table" rid="table5">Table 5</xref>)</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Extraction of data from the systematic review</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Authors</th><th align="center" valign="middle" >Journal</th><th align="center" valign="middle" >Year</th><th align="center" valign="middle" >Participants</th><th align="center" valign="middle" >Intervention</th><th align="center" valign="middle" >Context/ time</th><th align="center" valign="middle" >Results</th><th align="center" valign="middle" >Design</th></tr></thead><tr><td align="center" valign="middle" >Madden K, et al. [ 9 ]</td><td align="center" valign="middle" >Journal of Palliative Medicine</td><td align="center" valign="middle" >2019</td><td align="center" valign="middle" >Children on PC</td><td align="center" valign="middle" >ePROMs in the evaluation of symptoms.</td><td align="center" valign="middle" >PC One time only</td><td align="center" valign="middle" >1—Assessment of symptom burden 2—The PROM accurately captures the symptom of the participants. 3—Positive impact 4—Robust, standardized screening will help identify children in need of greater psychological support and less clinically evident symptoms.</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Hoerger M, et al. [ 10 ]</td><td align="center" valign="middle" >Journal of Clinical Oncology</td><td align="center" valign="middle" >2018</td><td align="center" valign="middle" >Adults with newly diagnosed advanced LC or non-rectal CICG.</td><td align="center" valign="middle" >ePROMs in coping with a CFL. Quality of life assessment.</td><td align="center" valign="middle" >The first PCs and CFLs 18 months</td><td align="center" valign="middle" >1—Evaluation of LFC adaptive capacity 2—Targeting more frequent visits and subsequent quality of life assessment improves patient outcomes. 3—Positive impact on the quality of life 4—No ethical decision conclusion</td><td align="center" valign="middle" >4</td></tr><tr><td align="center" valign="middle" >Sawatzky R, et al. [ 11 ]</td><td align="center" valign="middle" >Journal of patient-reported outcomes</td><td align="center" valign="middle" >2018</td><td align="center" valign="middle" >Adults in home PC and hospital PC</td><td align="center" valign="middle" >Quality of life assessment using a new specific ePROM</td><td align="center" valign="middle" >PC One time only</td><td align="center" valign="middle" >1—Quality of life assessment 2—Use is feasible, but education and training are necessary. Healthcare personnel must be intentionally engaged. 3—Positive impact on quality of life (if used correctly) 4—No ethical decision conclusion</td><td align="center" valign="middle" >5</td></tr><tr><td align="center" valign="middle" >Smith S, et al. [ 12 ]</td><td align="center" valign="middle" >Nursing management</td><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >Family members of patients with CP enrolled in the LCP pathway.</td><td align="center" valign="middle" >Evaluation of quality of life in the family prism.</td><td align="center" valign="middle" >PC between March 2011 and February 2012</td><td align="center" valign="middle" >1—Guidance for clinical decisions and PC pathways 2—Guide treatment of symptom burden and quality of life modifiers. 3—Patients sign up too late. Clinicians monopolize responses 4—Unethical steer.</td><td align="center" valign="middle" >4</td></tr><tr><td align="center" valign="middle" >Pokharel Y, et al. [ 13 ]</td><td align="center" valign="middle" >JAMA Cardiology</td><td align="center" valign="middle" >2017</td><td align="center" valign="middle" >Adults with IPF</td><td align="center" valign="middle" >ePROMs to assess disease progression and prognosis</td><td align="center" valign="middle" >CFL April 2003 - July 2008</td><td align="center" valign="middle" >1—LFC Forecast 2—No guidance for decision making 3—No impact on quality of life 4—No ethical decision conclusion</td><td align="center" valign="middle" >4</td></tr><tr><td align="center" valign="middle" >Clapham S, et al. [ 14 ]</td><td align="center" valign="middle" >International Journal for the Quality of Health Care</td><td align="center" valign="middle" >2021</td><td align="center" valign="middle" >Adults with CFL enrolled in PC on an inpatient or community basis.</td><td align="center" valign="middle" >Symptom management through ePROM (PCOC SAS) vs. proxy notification</td><td align="center" valign="middle" >CFL + PC 2020</td><td align="center" valign="middle" >1—Assessment of symptom burden 2—It can guide decisions even in the most urgent needs. 3—Positive impact on patients in better condition. Notification by delegation is preferred in the most fragile patients. 4—May lead to a “good death”.</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle" >Fassbender K. [ 15 ]</td><td align="center" valign="middle" >Journal of Palliative Medicine</td><td align="center" valign="middle" >2018</td><td align="center" valign="middle" >Patients diagnosed with solid tumors eligible for clinical trials.</td><td align="center" valign="middle" >Evaluation of quality of life in patients enrolled in cancer trials.</td><td align="center" valign="middle" >Clinical trials PC + Oncology Not reported</td><td align="center" valign="middle" >1—Quality of life assessment 2—See if the implantation of PC is appropriate for the patient. Orient the possible initiation of PC 3—Positive impact on the quality of life 4—No response</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >Lowe JR, et al. [ 16 ]</td><td align="center" valign="middle" >Journal of Palliative Medicine</td><td align="center" valign="middle" >2018</td><td align="center" valign="middle" >Patients with acute myeloid leukemia</td><td align="center" valign="middle" >Description of the patient’s last six months prior to death.</td><td align="center" valign="middle" >PC February 2014 - March 2015</td><td align="center" valign="middle" >1—Use in the assessment of quality of life, symptom burden, distress, number and duration of hospitalizations (including ICU) or referral for PC 2—Does not serve to guide decisions 3—No impact 4—Sheds light on the unmet needs of AML patients, especially those of PC.</td><td align="center" valign="middle" >6</td></tr><tr><td align="center" valign="middle" >Bausewein C, et al. [ 17 ]</td><td align="center" valign="middle" >Health and quality of life outcomes</td><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >PC Professionals</td><td align="center" valign="middle" >Reasons not to use ePROMs in the PC. Practical uses of ePROMs in PC clinical practice.</td><td align="center" valign="middle" >PC October and November 2009</td><td align="center" valign="middle" >1—Provision of information, guidance and training to patients. 2—Yes, it is. 3—Positive impact on healthcare 4—A good supply of information leads to better decisions, which in turn lead to ethical decisions in the PC.</td><td align="center" valign="middle" >9</td></tr><tr><td align="center" valign="middle" >Bakitas M, et al. [ 18 ]</td><td align="center" valign="middle" >BMC Palliative Care</td><td align="center" valign="middle" >2017</td><td align="center" valign="middle" >Patients with heart failure (AHA Stage C/D; NYHA Class III/IV)</td><td align="center" valign="middle" >Introduction of early PC in patients with HF and undergoing complex therapy.</td><td align="center" valign="middle" >The first PCs and CFLs July 2013-December 2015</td><td align="center" valign="middle" >1—Provide information on the acceptance of a specific protocol (ENABLE CHF-PC). 2—There is no guidance in decision making. 3—No impact on welfare 4—No decision direction</td><td align="center" valign="middle" >7</td></tr><tr><td align="center" valign="middle" >Kane P, et al. [ 19 ]</td><td align="center" valign="middle" >Palliative medicine</td><td align="center" valign="middle" >2018</td><td align="center" valign="middle" >Patients with advanced chronic heart failure</td><td align="center" valign="middle" >Inclusion of palliative-specific PROMs. Assessment of symptom burden and quality of life.</td><td align="center" valign="middle" >The first PCs and CFLs September 2014 until February 2015</td><td align="center" valign="middle" >1—Better identification of patients with ACF for referral to Palliative Care ethical decision 2—Use to guide a strategy for changing classifications in the ACHF 3—If it is directed as the conclusions of the study state, it has a positive impact, improving access to palliative care in these patients. 4—If access to palliative care is improved, we are making the most of</td><td align="center" valign="middle" >7</td></tr><tr><td align="center" valign="middle" >Rogers J, et al. [ 20 ]</td><td align="center" valign="middle" >Journal of the American College of Cardiology</td><td align="center" valign="middle" >2017</td><td align="center" valign="middle" >Patients with AHF and PC intervention</td><td align="center" valign="middle" >Evaluate whether the CP intervention is beneficial in conjunction with an evidence-based element of care for HF.</td><td align="center" valign="middle" >CFL + PC August 2012 and June 2015</td><td align="center" valign="middle" >1—Assessment of quality of life and symptom burden in both lines of care. 2—There is no guidance in decision making. 3—Palliative care had a positive impact on well-being (not ePROMs directly). 4—Helped to identify the need for PC, therefore more ethical</td><td align="center" valign="middle" >3</td></tr><tr><td align="center" valign="middle" >Matsuda A, et al. [ 21 ]</td><td align="center" valign="middle" >Journal of Cancer Prevention in Asia and the Pacific</td><td align="center" valign="middle" >2019</td><td align="center" valign="middle" >Patients over 20 years of age who have been diagnosed with cancer and have discontinued curative treatment.</td><td align="center" valign="middle" >Assessment of quality of life in cancer patients without curative treatment intention.</td><td align="center" valign="middle" >PC + Oncology May 2015 to December 2018</td><td align="center" valign="middle" >1—Assessment of quality of life in cancer patients with no intention of curative treatment. 2—It is used to guide palliative strategies. 3—Positive effect on well-being 4—Not addressed</td><td align="center" valign="middle" >8</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Frequency analysis of ePROMs use in palliative care</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Evaluation of symptoms</th><th align="center" valign="middle" >3</th></tr></thead><tr><td align="center" valign="middle" >Quality of life assessment</td><td align="center" valign="middle" >5</td></tr><tr><td align="center" valign="middle" >Evolution of the disease</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Descriptive function</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Provision of information to patients + Guidance + Training</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Introduction of the PC</td><td align="center" valign="middle" >2</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Frequency analysis of ePROMs decision guidance</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Yes</th><th align="center" valign="middle" >8</th></tr></thead><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >5</td></tr></tbody></table></table-wrap><p>These results in absolute values mean that in 61.5% of the included articles, the ePROMs added information and actively changed the course of thought of the professionals, practically modifying decision making. In 38.5% of the articles, ePROMs did not play an active role in decision making.</p></sec><sec id="s4_3"><title>4.3. Third Question</title><p>Do ePROMs have a positive impact on patient’s well-being? The following frequency table illustrates the impact on the quality of life of patients who used ePROMs during their care (<xref ref-type="table" rid="table6">Table 6</xref>).</p><p>As can be seen, 61.5% of the selected articles had a positive impact on the patients’ quality of life. On the other hand, in 30.7% of the articles chosen, there was no impact on quality of life, and in 7.8%, there was a negative impact derived from the use of ePROMs tools.</p></sec><sec id="s4_4"><title>4.4. Fourth Question</title><p>Do ePROMs guide medical teams toward ethical decisions?</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Frequency analysis of ePROMs impact on well-being</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Positive impact</th><th align="center" valign="middle" >8</th></tr></thead><tr><td align="center" valign="middle" >Negative impact</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >No impact</td><td align="center" valign="middle" >4</td></tr></tbody></table></table-wrap><p>The table illustrates whether there was a direction that produced ethical decisions provided by ePROMs (<xref ref-type="table" rid="table7">Table 7</xref>).</p><p>We found an equal distribution between studies referring to an ethical direction provided by ePROMs and studies that demonstrated no order in terms of the ethical qualities of those decisions: only one showed that it negatively affected ethical decision making by leading clinicians down the wrong decision</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Frequency analysis of ePROMs in ethical decision management</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Ethical management</th><th align="center" valign="middle" >6</th></tr></thead><tr><td align="center" valign="middle" >Unethical management</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >No address</td><td align="center" valign="middle" >6</td></tr></tbody></table></table-wrap><p>path. In relative terms, 46.15% of the articles referred to an ethical direction, 46.15% referred to no order, and 7.7% referred to an unethical approach.</p></sec></sec><sec id="s5"><title>5. DISCUSSION</title><p>From these results, we can draw some conclusions. For example, suppose we divide this discussion by review questions and apply a cut-off of at least 50% in the frequency analysis to consider an effect to be significant. In that case, we will be able to go deeper into the extracted results.</p><p>Considering the years of literature analysis, we can reiterate that these technologies are relatively new when applied to the PC setting. The ePROMs are a simple tool, a standardized questionnaire in digital format that does nothing more than be extraordinary in assessing patient metrics in a simplified and non-interpretative manner.</p><p>In the first review question, we concluded that ePROMs in the PC setting were most frequently used in quality of life and symptom assessments; this could be due to the nature of ePROMs to probe the patients to gain an in-depth understanding of their condition from their perspective.</p><p>No other tool collects as many raw data from patients as vital signs monitoring. Since vital signs monitoring is a non-holistic way of collecting QoL-related information, ePROMs pave the way as the best method to improve patient comfort in CP and end-of-life scenarios. Therefore, QoL and symptom assessment are of utmost importance in PC, as better QoL is synonymous with better quality of care. Therefore, these assessments are, and rightly so, the most described uses for ePROMs in palliative clinical practice.</p><p>In fact, new work is already appearing on the modification of PROMs for FACE-Q head and neck module scales [<xref ref-type="bibr" rid="scirp.117075-ref21">21</xref>].</p><p>We can look to the registries for approval of these claims, as one of the selected studies [<xref ref-type="bibr" rid="scirp.117075-ref13">13</xref>] indicated that formalized assessment of PROMs may increase clinicians’ attention to patient concerns that are often overlooked.</p><p>This means that these data, uninterpreted by clinicians, play a central role in determining patients’ most critical needs and help guide the course of treatment according to their needs and wishes.</p><p>Regarding the second question and considering the 50% threshold to be considered significant, we can deduce that ePROMs have a considerable impact on guiding clinical decisions, as 61.5% of the included reports described these tools as a driver of clinical findings in PC or end-of-life scenarios. This metric is paramount in deciding whether ePROMs are a valuable tool to consider in the future of palliative care. As the year’s pass and ePROMs become a more prevalent trend, we expect these results to increase as uninterpreted and unbiased information becomes a challenge and becomes a pressing need due to improvements in diagnostic capabilities and technologies that require the vision of skilled and trained professionals for interpretation. The fact that 61.5% of registries cite that ePROMs are guiding clinical decisions and that the selected studies are relatively new only reiterates the veracity of these claims.</p><p>The results of the third review question indicate that 61.5% of registries reported a positive impact on patients’ quality of life. The ePROMs improve quality of life, considering the 50% cutoff.</p><p>Our results are another argument favoring unbiased data being a good starting point for decision making.</p><p>As we have said before, improvements in QoL are synonymous with improvements in the quality of care in PC. The only study that was detrimental to QoL was when clinicians had a role in interpreting patients needed and inserted the data into the questionnaires, which completely defeats the purpose of ePROMs. This also means that there is a positive trend in which PA professionals are more committed to acquiring and applying specific ePROMs to address the views and needs of their patients. Although the results are positive, there is room for improvement as practitioners need to be more engaged to learn and correctly apply ePROMs to increase this outcome.</p><p>We measured the ethical direction of decisions when using ePROMs to question number four.</p><p>We did this by assessing in the core text of the selected studies whether they mentioned that decisions were made considering patients’ beliefs, concerns and general condition, the information provided directly by the ePROMs. Using the cut-off point of 50%, we deduce that EPROMs do not have a significant impact as far as ethical direction is concerned.</p><p>Ethical guidance was reported by 46.15% of the registries, just below the 50% cut-off. This means that although ePROMs technology is a valuable tool for clinicians and its practical use, it still has many hurdles to overcome to become an essential tool in ethical services. The exact number of records that reported no guidance.</p></sec><sec id="s6"><title>6. CONCLUSION</title><p>This review concludes that it is necessary to remind professionals and patients that these tools exist and can be applied in many situations. If used correctly, they can provide a better quality of life and care for primary care patients and a better supply of information to professionals. In addition, healthcare administrators and managers are increasingly advocating the routine use of PROMs and PREMs because of their potential to improve person-centered care by ensuring that the perspectives and experiences of patients and informal caregivers are revealed and integrated into decision making and management.</p></sec><sec id="s7"><title>7. LIMITATIONS</title><p>One of the main obstacles to this study is the low number of eligible reports used to conduct the systematic review. There are few registries, including ePROMs used practically and clinically in palliative and/or end-of-life care settings. In any case, more registries are needed to confirm and reiterate our results.</p></sec><sec id="s8"><title>ACKNOWLEDGEMENTS</title><p>We thank all the people who have contributed and provided information for the preparation of this article.</p></sec><sec id="s9"><title>CONFLICTS OF INTEREST</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s10"><title>REFERENCES</title></sec><sec id="s11"><title>Abbreviations</title><p>ePROMs—Electronic Measures of Patient-Reported Outcomes</p><p>eol—End-of-Life</p><p>RCT—Randomized Clinical Trial</p><p>CCT—Controlled Clinical Trial</p><p>LC—Lung Cancer</p><p>GIC—Gastrointestinal Cancer</p><p>PC—Palliative Care</p><p>LFC—Life-Threatening Condition</p><p>QoL—Quality of Life</p><p>HFpEF—Heart Failure with Preserved Ejection Fraction</p><p>PCOC SAS—Palliative Care Outcomes Collaboration Symptom Assessment Scale</p></sec><sec id="s12"><title>AppendiX</title><disp-formula id="scirp.117075-formula1"><graphic  xlink:href="//html.scirp.org/file/1-9102795x6.png?20220516085934214"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.117075-formula2"><graphic  xlink:href="//html.scirp.org/file/1-9102795x7.png?20220516085934214"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.117075-formula3"><graphic  xlink:href="//html.scirp.org/file/1-9102795x8.png?20220516085934214"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.117075-formula4"><graphic  xlink:href="//html.scirp.org/file/1-9102795x9.png?20220516085934214"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.117075-formula5"><graphic  xlink:href="//html.scirp.org/file/1-9102795x10.png?20220516085934214"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.117075-formula6"><graphic  xlink:href="//html.scirp.org/file/1-9102795x11.png?20220516085934214"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.117075-formula7"><graphic  xlink:href="//html.scirp.org/file/1-9102795x12.png?20220516085934214"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.117075-formula8"><graphic  xlink:href="//html.scirp.org/file/1-9102795x13.png?20220516085934214"  xlink:type="simple"/></disp-formula></sec></body><back><ref-list><title>References</title><ref id="scirp.117075-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Greenhalgh, J., Gooding, K., Gibbons, E., et al. 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