Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Abstract
Abstracts
Addendum
Brief Communication
Case Report
Case Series
Commentary
Conference Abstract
Conference Editorial
Conference Proceedings
Current Issue
Editorial
Editorial Commentary
Erratum
General Medicine Original Article
General Medicine, Case Report
General Medicine, Review Article
IAPCONKochi 2019 Conference Proceedings
Letter to Editor
Letter to the Editor
Letters to Editor
Media & News
Narrative Review
Notice of Retraction
Oral Abstracts
Original Article
Palliative Medicine Commentary
Palliative Medicine, Letter to Editor
Palliative Medicine, Letter to the Editor
Palliative Medicine, Original Article
Palliative Medicine, Review Article
Personal Reflection
Perspective
Perspectives
Position Paper
Position Statement
Poster Abstracts
Practitioner Section
Report
REPUBLICATION: Special Article (Guidelines)
Retraction
Review Article
Reviewers 2023
Short Communication
Short Report
Special Editorial
Special Review
Systematic Review
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Abstract
Abstracts
Addendum
Brief Communication
Case Report
Case Series
Commentary
Conference Abstract
Conference Editorial
Conference Proceedings
Current Issue
Editorial
Editorial Commentary
Erratum
General Medicine Original Article
General Medicine, Case Report
General Medicine, Review Article
IAPCONKochi 2019 Conference Proceedings
Letter to Editor
Letter to the Editor
Letters to Editor
Media & News
Narrative Review
Notice of Retraction
Oral Abstracts
Original Article
Palliative Medicine Commentary
Palliative Medicine, Letter to Editor
Palliative Medicine, Letter to the Editor
Palliative Medicine, Original Article
Palliative Medicine, Review Article
Personal Reflection
Perspective
Perspectives
Position Paper
Position Statement
Poster Abstracts
Practitioner Section
Report
REPUBLICATION: Special Article (Guidelines)
Retraction
Review Article
Reviewers 2023
Short Communication
Short Report
Special Editorial
Special Review
Systematic Review
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Filter by Categories
Abstract
Abstracts
Addendum
Brief Communication
Case Report
Case Series
Commentary
Conference Abstract
Conference Editorial
Conference Proceedings
Current Issue
Editorial
Editorial Commentary
Erratum
General Medicine Original Article
General Medicine, Case Report
General Medicine, Review Article
IAPCONKochi 2019 Conference Proceedings
Letter to Editor
Letter to the Editor
Letters to Editor
Media & News
Narrative Review
Notice of Retraction
Oral Abstracts
Original Article
Palliative Medicine Commentary
Palliative Medicine, Letter to Editor
Palliative Medicine, Letter to the Editor
Palliative Medicine, Original Article
Palliative Medicine, Review Article
Personal Reflection
Perspective
Perspectives
Position Paper
Position Statement
Poster Abstracts
Practitioner Section
Report
REPUBLICATION: Special Article (Guidelines)
Retraction
Review Article
Reviewers 2023
Short Communication
Short Report
Special Editorial
Special Review
Systematic Review
View/Download PDF

Translate this page into:

Original Article
30 (
3
); 260-267
doi:
10.25259/IJPC_100_2024

Development of a Simple Patient-reported Outcome Measurement for Terminally Ill Cancer Patients Receiving Home-based Palliative Care

Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Pathum Wan, Thailand
Cheewabhibaln Palliative Care Center, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Pathum Wan, Thailand

*Corresponding author: Jiruth Sriratanaban, Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Pathum Wan, Thailand. sjiruth@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Preechachaiyawit P, Sriratanaban J, Manasvanich B. Development of a Simple Patient-reported Outcome Measurement for Terminally Ill Cancer Patients Receiving Home-based Palliative Care. Indian J Palliat Care 2024;30:260-7. doi: 10.25259/IJPC_100_2024

Abstract

Objective:

To develop a patient-reported outcome measurement for terminally ill cancer patients (PROMs-TCP) receiving home-based palliative care, which is valid, reliable and easy to use by patients or caregivers to indicate urgent needs for assistance from the care team.

Materials and Methods:

Three-step approach consisting of literature review, focus groups and questionnaire testing. 169 terminally ill cancer patients who received palliative care at Cancer hospital, tertiary-care hospital and university school of medicine in Thailand. The PROMs-TCP comprised five key questions with a total score of 10 and one supplemental question. PROMs-TCP was tested for content validity, internal consistency and inter-rater reliability, criterion validity, discriminant validity and sensitivity to change. The palliative care outcome scale (POS) was used as an indicator.

Results:

PROMs-TCP consists of five questions. The item-level content validity index (CVI) ranged from 0.8 to 1, and the scale-level CVI was 0.97. PROMs-TCP correlated well with POS scores, with correlations ranging from −0.7 to −0.8. Internal consistency was good (Cronbach’s α = 0.85), while inter-rater agreements between patients and caregivers and between patients and nurses were moderate to good (Cohen’s weighted k = 0.69–0.87). The tool could reasonably discriminate terrible days from good days for the patients. It was also responsive to change scores, with effect size scores of 0.36.

Conclusion:

PROMs-TCP could be used for daily health status assessment of home-based patients with terminally ill cancer, supporting the provision of palliative care in primary care settings.

Keywords

Outcome assessment
Home-based palliative care
Primary care
Thailand

INTRODUCTION

Globally, the need for palliative care services is over 40 million individuals.[1] The Ministry of Public Health of Thailand has been promoting palliative care since 2017[2] with a focus on end-stage cancer patients. The national service plan aims to improve quality of life by encouraging home-based care, supported by primary care providers, rather than hospitalisation.[3,4] However, there is a lack of an easy-to-use patient assessment tool for home-based care. Existing tools were mostly for clinical research and hospital-based applications; for example, ‘The Palliative Care Outcome Scale (POS)’[5] and ‘The Edmonton Symptom Assessment System,’[6] are primarily developed for clinical research and hospital-based applications.[7,8] Patients might have trouble understanding the questions and need help in responding to them.[9] Our communication with some Thai palliative care providers in hospitals and community settings found that POS was too complicated and had too many questions, while patients might give biased responses to the ESAS visual analogue scale, recalling their prior responses. The purpose of the study is therefore create a simple, valid, reliable and sensitive-to-change patient-reported outcome measurement for those who suffer from terminal cancer and are receiving palliative care.

MATERIALS AND METHODS

We applied three-step approaches mixed with qualitative and quantitative studies, running from February 2019 to February 2022.

Step 1: Item generation, using purposive review literature and focus groups.

Beginning in February 2019, we reviewed some key published literature based on the following selection criteria: (1) focused on cancer patients, (2) quality of life in palliative care and (3) published in Thai or English. Twenty studies were identified. They were then filtered by the exclusion criteria, including (1) not focusing on the terminal stage and (2) studying only specific areas of quality of life. Finally, twelve papers were selected.

Concurrently, we conducted two focus groups with (1) palliative medical experts and (2) highly experienced palliative care nurses. The expert group included ten palliative medicine specialists and family physicians from five leading medical schools and tertiary-care cancer centres in Thailand who had extensive experience in providing palliative care. They were asked to share ideas and experiences on the outcome of care for terminally ill patients, requirements for assessing end-stage cancer care outcomes, symptoms needing special care at home and assessment methods for advanced cancer patients receiving palliative care at home. The nurse group comprised ten nurses from a cancer hospital and general and community hospitals who had deep experience in the area of palliative care in hospitals, in-patient homes or community settings. The discussion focused on special care needs for end-of-life care at home. The nurses were also required to ask questions in a group of experts. One of the researchers acted as the facilitator, while the others joined as observers. The main ideas were captured to design the drafted version of patient-reported outcome measurement for terminally ill cancer patients (PROMs-TCP).

Step 2 Pilot-testing of the drafted PROMs-TCP for content validity and ease of use.

From October to December 2019, the drafted PROMs-TCP, originally with six questions, was tested for content validity. A panel of five experts, including the head of the palliative care centre of a university-affiliated medical centre, a family physician with a certificate in clinical fellowship (palliative care), a family physician with long-time experiences in providing palliative care at home and two palliative care nurses with hospital-based and home-based experiences, independently rated each question item using a 4-point rating scale (1 = not relevant, 2 = somewhat relevant, 3 = quite relevant and 4 = highly relevant).

The drafted PROMs-TCP was also given to 20 selected advanced cancer patients receiving palliative care in four tertiary-care and community hospitals – 12 in hospital settings and eight in home-based settings – for their feedback on relevance, ease of use, length, understandability of the items and response choices and other suggestions, if any. Collected feedback was reviewed and applied to make modifications to the question items, response choices and presentation format.

Step 3 Evaluation of the instrument properties of PROMsTCP, including validity, reliability and sensitivity to change. From January 2020 to March 2021, 169 pairs of advanced cancer patients and their caregivers were voluntarily recruited from palliative care centres of six participating tertiary-care hospitals – two in Bangkok, one in the north, one in the south and two in the central region. The inclusion criteria included (1) having been diagnosed with end-stage cancer; (2) receiving palliative care; (3) the patients and their caregivers both agreeing to participate; (4) being aged between 18 and 70 years; and (5) being able to communicate in Thai language. The number was slightly more than the calculated sample size for correlation based on α = 0.05, power = 0.9 and correlation coefficient rate of 0.25.[10] All participating hospitals assigned palliative care nurses to be project coordinators. They received training from the research team on the protocols, consent procedures and application of POS and PROMs-TCP.

After the recruitment and consent process, demographic data of all patients were collected on day 0 (baseline). The nurses assessed each patient with POS. Each patient responded to a question on overall well-being (OWB) to indicate whether OWB on that day was ‘good’ or ‘terrible.’ A good day meant that the patient felt satisfied with their health status, given the underlying health conditions. By contrast, a terrible day implied that the patient needed immediate intervention to improve their condition or to alleviate the individual’s suffering. Finally, the patient, their caregiver and the nurse independently used PROMs-TCP to assess the patient’s status. After that, assessments using the OWB and PROMsTCP measurements were repeated daily, while the POS was repeated on day 5 and day 10. Each patient was monitored for 10 days unless the patient passed away during that period, regardless of whether the patient was hospitalised or continued to receive care at home.

Data analysis

In Step 1, for item generation, we gathered information from both existing literature and focus groups to identify factors that contribute to the well-being of cancer patients who received palliative care. We looked for common factors that were relevant to the Thai context of palliative care and ranked them in order of importance. Our goal was to create a concise initial draft of a tool called PROM-TCPs. During the focus group discussions, we obtained permission from the participants to video record the conversations. These recordings were then transcribed word for word and made anonymous. We also took field notes to supplement the transcripts. The main facilitator checked the accuracy of the transcripts. Both the primary and secondary facilitators conducted a traditional qualitative content analysis. They independently read and re-read the transcripts, identified key themes based on their observations, and created a set of codes and count of frequency. They then met to discuss and resolve any differences. They independently read and re-read the transcripts, identified key themes based on their observations, created a set of codes and counted their frequency. This approach aligns with the goals of our study. In Step 2, pilot testing was conducted with an expert panel of five experts to calculate the content validity index (CVI) score of each question.[11] The feedback from pilot patients was also assessed for any issues with the questionnaire. In final Step 3, the key instrument properties of PROMsTCP were measured, including internal consistency, inter-rater reliability, discriminant validity, criterion validity and sensitivity to change. STATA 16.0 was used for analysis of all statistical information.

The assessment of internal consistency was conducted through the utilisation of item-total correlations[12] and Cronbach’s alpha coefficients.[13] A satisfactory level of item-total correlation was deemed to be >0.3,[14] while alpha values of 0.70 or higher were considered acceptable.[15] The study assessed inter-rater reliability using PROMs-TCP on day 0, day 5 and day 10 among patients, non-health-professional caregivers and six nurses. Weighted kappa (k) statistics were utilised, with confidence intervals (CIs) calculated by bootstrapping (1000 repetitions). Moderate, substantial, almost perfect and perfect agreement was indicated by k scores of 0.40–0.59, 0.60–0.79, 0.80–0.89 and ≥0.90, respectively.[16,17] Discriminant validity was tested by assuming patients’ OWB assessment as a ‘good day’ or a ‘terrible day’ comparison. We applied the receiver operating characteristic (ROC) analysis to determine the most appropriate PROMs-TCP cut-off point. The areas under the curve (AUC) were estimated using a point estimate and 95% CI, with an AUC of 0.5–≥0.6 indicating poor, >0.6–≥0.7 acceptable, >0.7–≥0.8 good and >0.9 perfect discrimination, respectively.[18] The criterion-validity test was based on Spearman’s correlations between the PROMs-TCP score and the gold-standard POS score at baseline, day 5 and day 10. The coefficients were graded as poor (r < 0.30), fair (0.31 < r < 0.70), good (0.71 < r < 0.90) or excellent (≥0.90) correlation.[19] Sensitivity to change of the PROMs-TCP was evaluated by calculating correlations of score changes between day 0 and day 5 and between day 0 and day 10, as measured by PROMs-TCP and POS. Effect size (ES) and standardised response means were used to calculate the magnitude of change using Spearman’s correlation coefficient.[20]

RESULTS

Step 1 – Item generation

We deduced from the literature review that we should focus on four major domains of well-being for patients with end-stage cancer: (1) The physical domain, Reduced suffering symptoms; (2) the mental domain, presence of loved and to whom patients were able to talk to reduce fear caused by whatever reasons; (3) spiritual domain: Self-fulfillment and happiness in life, not limited to religious beliefs and (4) the economic domain: Concerns about the cost of medical care. Pain, shortness of breath, fatigue, constipation, insomnia, loss of taste and anxiety were among the symptoms identified in a Thai study on the symptoms and signs of patients with late-stage cancer.[21-32]

The focus groups, in summary, found that outcome assessment in terminally ill patients should primarily include physical symptoms such as pain, fatigue and insomnia. The secondary issues comprised the mental state of a patient, that is, whether the patient felt bored, depressed and/or hopeless. Patients and their family members experienced anxiety caused by inadequate confidence in self-care at home, pressure from neighbours (who, seeing the patient’s suffering, pushed for hospital care over home care) and caregiver burnout. Assessing the patient’s well-being should consider daily variations and rapid changes in symptoms during the end-of-life period. Prompt and effective symptom management plays a critical role in alleviating patient suffering. Because it is critical to have the ability to detect patient pain and other critical symptoms as early as possible and then call the palliative-care provider for help, having a tool to assess these symptoms easily as needed might raise the confidence of caregivers. Any assessment tool must be easy to understand and to respond to, i.e., not having too many response choices, and it should be as concise as possible – preferably having around five questions.

Based on the literature review and the focus groups, we identified common factors determining the well-being of patients and chose associated keywords in drafting PROMsTCP. The first draft comprised five questions addressing key physical symptoms and psychological well-being, including pain, dyspnoea, fatigue, adequate sleep and feeling worthlessness, with three simple response choices. They were prioritised by both the patients and palliative care experts as determinants of urgent needs for care assistance [Table 1]. Additionally, there was a question (Question #6) that asked about any other symptoms that patients might be experiencing. Spiritual and economic issues, despite their effects on quality of life, were excluded to keep focus on the prioritised needs for urgent care assistance.

Table 1: Domain and item generated
Domain Item Data categorisation Ref
Patients No. nurses No. experts
Physical functioning Pain 8 8 [21-23,25,27-32]
Dyspnoea 8 6 [22,25-27,29-31]
Fatigue 6 4 [22,23,26,27,32]
Loss of taste [22,26,29,32]
Insomnia 4 2 [23,28,29,32]
Constipation [27]
Nausea and vomiting 2 [22,27,29,31]
Seizure 1
Bleeding 1
Skin rash [27]
Emotional function Anxiety 4 [27,32]
Depress 2 2 [23,27,28,30]
Worthlessness or burden 4 4 [21,24,27]
Finances Economic 2 [21]
Spiritual Loss of self-esteem [21,27]

No. nurses: The number that the nurses mentioned was discussed in the focus group. No. experts: The number that the palliative medical mentioned was discussed in the focus group

Step 2 –Pilot-testing

Based on the experts’ evaluation, the S-CVI of the drafted PROMs-TCP was 0.97, while I-CVIs were ≥0.8, indicating good content validity. The feedback from the 20 patients in both hospital and home settings showed that most of them comprehended the questions and the response choices well, and the number of questions was appropriate. Overall, they were satisfied with PROMs-TCP. The only noted comment was on Question#6, asking about any other disturbing symptoms that could vary considerably by their severity, for example, nausea and vomiting. As their possible impacts were captured by the first five questions, we thus modified by keeping Question#6 but not assigning any score point [Table 2].

Table 2: PROMs-TCP assessment (translated into English; the original version is in Thai)
A simple PROMs-TCP who received home-based palliative care
1)Within the past day, did you experience any pain? 0
No pain or mild pain which pain medication was not required.
1
Moderate pain or pain which required pain medication every 3–4 hours.
2
Severe pain or pain resulting in an inability to sleep or pain which, even after taking the pain medication, did not help
2)Within the past day, did you experience any dyspnoea/difficulty breathing? 0
No sign of dyspnoea or mild dyspnoea without disrupting daily life activity
1
Moderate dyspnoea or fatigue, which impacted daily life activities
2
Severe dyspnoea or dyspnoea, which disabled daily life activities
3)Within the past day, did you experience any fatigue or weakness? 0
No sign of fatigue or mild fatigue without disrupting daily life activities.
1
Moderate fatigue that led to being unable to do any hard work but still had no impact on daily life activity
2
Severe fatigue or fatigue that causes you to rest all the time and be unable to do any work.
4)How did you sleep last night? 0
Got enough sleep
1
Slept fitfully.
2
Did not get any sleep at all
5)Within the past day, did you feel sad, bored, discouraged, hopeless, worthless or a burden to others? 0
Not sad or felt sad sometimes but did not feel hopeless.
1
Felt worthless and burdensome to others.
2
Felt very discouraged and hopeless that I did not want to live my life anymore.
6)Within the past day, did you experience any other symptoms that made you feel unwell? No Yes.
Please describe……………………………………….

PROMs-TCP: Patient-reported outcome measurement for terminally ill cancer patients

Step 3 – Measurement of key instrument properties

This step-3 study included 169 terminally ill cancer patients—72 males (42.9%) and 96 females (57.1%), with a mean age of 58.8 ± 8.7 years. Most of these patients (94.5%) practised Buddhism, with education lower than a bachelor’s degree (82.7%). Around two-thirds of the patients (66.5%) had two to four caregivers, of which some 44.2% were spouses, followed by family members.

Internal consistency

The item-total correlations for Question#1 to Question#5 with the total scores were 0.52, 0.67, 0.74, 0.69 and 0.65, respectively. The overall Cronbach’s alpha value of the tool was 0.85. This indicated a sufficient level of internal reliability.

Inter-rater reliability

The average weighted kappa values of each question in PROMs-TCP between the patients and their caregivers, as well as between the patients and their nurses, were between 0.69 and 0.87, indicating substantial to almost perfect agreement [Table 3].

Table 3: Interrater reliability for each PROMs-TCP question item between assessors PR and CR and between PR and NR
Day N Rater Item 1 k (95%CI) Item 2 k (95%CI) Item 3 k (95%CI) Item 4 k (95%CI) Item 5 k (95%CI)
Baseline 158 PR: CR 0.84 (0.76–0.90) 0.87 (0.80–0.92) 0.78 (0.69–0.86) 0.80 (0.70–0.87) 0.73 (0.61–0.81)
PR: NR 0.85 (0.77–0.92) 0.83 (0.75–0.90) 0.76 (0.68–0.84) 0.84 (0.76–0.91) 0.74 (0.63–0.85)
Day 5 140 PR: CR 0.80 (0.69–0.88) 0.74 (0.62–0.84) 0.75 (0.64–0.84) 0.69 (0.58–0.79) 0.74 (0.63–0.83)
PR: NR 0.78 (0.68–0.87) 0.81 (0.69–0.89) 0.77 (0.67–0.86) 0.79 (0.68–0.87) 0.79 (0.69–0.88)
Day 10 133 PR: CR 0.87 (0.78–0.94) 0.80 (0.71–0.90) 0.85 (0.76–0.92) 0.76 (0.66–0.87) 0.75 (0.64–0.87)
PR: NR 0.85 (0.77–0.92) 0.82 (0.72–0.91) 0.81 (0.72–0.89) 0.82 (0.73–0.91) 0.75 (0.65–0.87)

k: Weight kappa, n: Number of data, PR: Patient rater, CR: Caregiver rater, NR: Nurse rater, CI: Confidence intervals. PROMs-TCP: Patient-reported outcome measurement for terminally ill cancer patients

Discriminant validity

The ROC analysis revealed that AUC was 0.91 (95% CI: 0.90, 0.93). The cut-off value that demonstrated the maximum accuracy for distinguishing patients’ ‘good day’ and ‘terrible day’ was four. With this cut-off value, PROMs-TCP correctly identified of the patients with good days of 76.91% and 88.67% of the patients with terrible days, respectively [Figure 1].

Different cut-off points for the PROMs-TCP (n = 1,709). CI: Confidence interval, ROC: Receiver operating characteristic, AUC: Areas under the curve, PPV: Positive predictive value, NPV: Negative predictive value. PROMs-TCP: Patient-reported outcome measurement for terminally ill cancer patients. The bold values in the cut points show how sensitive and specificity of the data.
Figure 1:
Different cut-off points for the PROMs-TCP (n = 1,709). CI: Confidence interval, ROC: Receiver operating characteristic, AUC: Areas under the curve, PPV: Positive predictive value, NPV: Negative predictive value. PROMs-TCP: Patient-reported outcome measurement for terminally ill cancer patients. The bold values in the cut points show how sensitive and specificity of the data.

Criteria-related validity

With a total of 132 patients completing the assessments at all 3 time points (day 0, day 5 and day 10), there were moderate-to-significant associations between PROMs-TCP and POS. Spearman’s rank correlation coefficients were 0.71, 0.75 and 0.80, respectively, with a statistically significant value of 0.01 [Table 4].

Table 4: Spearman rank correlation coefficient between PROMs-TCP and POS assessment at baseline and at 5 days and 10 days after baseline assessment (n=132)
Spearman’s rho PROMs-TCP baseline PROMs-TCP day 5 PROMs-TCP day 10
POS baseline
Correlation 0.71** 0.53** 0.48**
coefficient
Sig. (two-tailed) <0.01 <0.01 <0.01
POS day 5
Correlation 0.60** 0.75** 0.68**
coefficient
Sig. (two-tailed) <0.01 <0.01 <0.01
POS day 10
Correlation 0.48** 0.72** 0.80**
coefficient
Sig. (two-tailed) <0.01 <0.01 <0.01

PROMs-TCP: Patient-reported outcome measurement for terminally ill cancer patients, POS: Palliative care outcome scale. **indicates there is a statistically significant difference that calculated using Spearman rank correlation coefficient test. The bold values in the cut points show how sensitive and specificity of the data.

Sensitivity to change

Spearman’s rank correlation analysis of score changes for each period between day 0 and day 5 and between day 0 and day 10 of PROMs-TCP and POS revealed a moderately favourable association [r = 0.5–0.7, Figure 2]. The PROMsTCP and POS score variations over 10 days were small, however. The ES values were 0.31 and 0.30 for day 0–day 5 and 0.36 and 0.33 for day 0–day 10 for PROMs-TCP and POS, respectively.

The change score between PROMs-TCP and palliative care outcome scale assessment (n = 132). PROMs-TCP: Patient-reported outcome measurement for terminally ill cancer patients.
Figure 2:
The change score between PROMs-TCP and palliative care outcome scale assessment (n = 132). PROMs-TCP: Patient-reported outcome measurement for terminally ill cancer patients.

DISCUSSION

The purpose of this study is to develop a patient-reported outcome measurement tool (PROMs-TCP) for assessing the well-being of terminally ill cancer patients who received palliative care at home. The ultimate purposes were to be able to differentiate between a ‘good day’ and a ‘terrible day’ and for the professional palliative care team to be alerted if the home-based patients needed urgent attention or care. The study findings demonstrate that PROMs-TCP was reasonably valid, reliable and sensitive to change.

PROMs-TCP covers the major determinants of well-being of terminally ill cancer patients receiving palliative care at home to indicate their urgent needs for our team attention. Although it was not designed to be a comprehensive tool or to capture broad areas of quality of life of palliative-care patients, the criterion-validity test demonstrated the PROMs-TCP scores correlated well to POS. PROMs-TCP addresses some items of POS, namely ‘pain’ and ‘feelings of hopelessness’[5] and some items in ESAS including ‘tiredness,’ ‘shortness of breath,’ ‘drowsiness’ and ‘feeling sad.’[33] Compared to POS, PROMs-TCP asks about feeling depressed and sleeping, instead of feeling anxious or worried about the illness or treatment and sharing feelings with family or friends. Other POS questions, such as feeling that time was wasted on health-care appointments or practical matters resulting from illnesses, seemed irrelevant to our aims. Moreover, using PROMs-TCP to determine ‘good day’ or ‘terrible day’ statuses corresponded well with the patients’ perception of their own statuses.

PROMs-TCP was satisfactorily reliable – considering the possibility or likelihood that patients might not always be able to use the tool by themselves and would need others, such as their personal caregivers, to perform the assessment. Inter-rater agreements between those of the patients and those of the caregivers, as well as between those of the patients and the nurses, were at a moderate-to-good level (Cohen’s weighted kappa = 0.69–0.87), whereas the POS achieved values of 0.31–0.35.[5,34]

Comparing to the other assessment tools available in Thai such as POS (11 items), ESAS (10 items), Functional Assessment of cancer therapy-General scale (27 items)[35] or the tool from The European Organization for Research and Treatment of Cancer (30 items),[36] our six-question PROMsTCPs were more concise and user-friendly, making it better fit for home-based care. Most of the patients and caregivers were able to complete the assessment in <1 min although it took up to 2 min in some cases with reading difficulties. Moreover, with the cut-off point to differentiate the patients with terrible days from those with good days, PROMs-TCP allows the palliative care teams to focus their attentions to the patients who need more and urgent assistance from them. This enables allocation of limited palliative and primary care resources more effectively.

Given the promising findings, we recognise some limitations. First, asking patients directly to indicate a good day or a terrible day may not be a perfect choice for discriminant validity testing. However, the use of this overall self- indicating assessment was aligned with the purpose of the tool to be patient centric in identifying a home-based patient who needed assistance from professional palliative care teams with validity and reliability. It is also worth noting that the approach of using a single overall question for assessing quality of life has been used in many studies and found to correlate with multi-question tools.[37-39] Second, the sensitivity to change of our tool was tested against POS based on specific timing, not against changes in patients’ clinical and health symptoms at exact moments of increase or relief of suffering. We encourage a study that addresses this issue in more detail. Finally, our study was conducted in a limited number of palliative cares patients and was limited to health-care settings in Thailand. This might impact some generalisability of PROMs-TCP. Further studies in different settings, or even different countries, are needed, it is crucial to develop electronic patient-reported outcome measures. These measures enable researchers and health-care professionals to collect valuable data on patients’ health outcomes and experiences in a more efficient and standardised manner.[40]

CONCLUSION

PROMs-TCP was proven to be reasonably valid, reliable, sensitive to change and simple to use, making it suitable for supporting home-based palliative care by primary care or palliative care providers. It enables effective communication between care teams and their patients and families and allows for appropriate responses to the patients’ needs for medical attention as well as efficient allocation of resources.

Acknowledgements

The authors wish to acknowledge and thank the patients, caregivers, nurses and health professionals.

Ethical approval

The research/study was approved by the Institutional Review Board at Institutional Review Board of the Faculty of Medicine, Chulalongkorn University, number IRB No. 695/61, dated 29 January 2019.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship

The author(s) revealed that the Health Systems Research Institute (HSRI) support their receipt of research. It is a part of the project. A synthetic research study to develop measurement, analysis, review and improvement systems for primary-care performance in Thailand, under Grant number 61-078.

References

  1. . Palliative Care: Key Fact. Available from: https://www.who.int/news-room/fact-sheets/detail/palliative-care [Last accessed on 2020 May 10]
    [Google Scholar]
  2. . Ministry of Public Health Government Inspectorate Ministry of Health Ministry of Public Health Inspection Plan Fiscal Year 2017. Available from: https://203.157.185.18/download/inspection/1-2560/c%20%e0%b8%84%e0%b8%93%e0%b8%b02(pdf)/205%20palliative%20care%20%e0%b8%84%e0%b8%93%e0%b8%b0%202%20%e0%b8%9b%e0%b8%b5%2060%20.pdf [Last accessed on 2018 May 10]
    [Google Scholar]
  3. , , , , , . Effectiveness and Challenges in Cancer Palliative Home-care Services: A Retrospective Cohort Study. Recenti Prog Med. 2021;112:647-52.
    [Google Scholar]
  4. , , , , , . Effectiveness of Palliative Home-care Services in Reducing Hospital Admissions and Determinants of Hospitalization for Terminally Ill Patients Followed Up by a Palliative Home-care Team: A Retrospective Cohort Study. Palliat Med. 2014;28:403-11.
    [CrossRef] [PubMed] [Google Scholar]
  5. , , , , , . A Systematic Review of the Use of the Palliative Care Outcome Scale and the Support Team Assessment Schedule in Palliative Care. J Pain Symptom Manage. 2015;50:842-53.e19.
    [CrossRef] [PubMed] [Google Scholar]
  6. , . The Edmonton Symptom Assessment System 25 Years Later: Past, Present, and Future Developments. J Pain Symptom Manage. 2017;53:630-43.
    [CrossRef] [PubMed] [Google Scholar]
  7. , , , , , , et al. Content Validity of the EORTC Quality of Life Questionnaire QLQ-C30 for Use in Cancer. Eur J Cancer. 2023;178:128-38.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , , , , , et al. Choosing between the EORTC QLQ-C30 and FACT-G for Measuring Health-related Quality of Life in Cancer Clinical Research: Issues, Evidence and Recommendations. Ann Oncol. 2011;22:2179-90.
    [CrossRef] [PubMed] [Google Scholar]
  9. , , , , , , et al. Validation and Clinical Application of the German Version of the Palliative Care Outcome Scale. J Pain Symptom Manage. 2005;30:51-62.
    [CrossRef] [PubMed] [Google Scholar]
  10. , . Sample Size Guideline for Correlation Analysis. World J Soc Sci Res. 2016;3:37-46.
    [CrossRef] [Google Scholar]
  11. , , . Is the CVI an Acceptable Indicator of Content Validity? Appraisal and Recommendations. Res Nurs Health. 2007;30:459-67.
    [CrossRef] [PubMed] [Google Scholar]
  12. . Alpha if Item Deleted: A Note on Loss of Criterion Validity in Scale Development if Maximizing Coefficient Alpha. Br J Math Stat Psychol. 2008;61:275-85.
    [CrossRef] [PubMed] [Google Scholar]
  13. , . Calculating, Interpreting, and Reporting Cronbach's Alpha Reliability Coefficient for Likert-type Scales In: 2003 Midwest Research to Practice Conference in Adult, Continuing, and Community Education, Columbus. . p. :82-8.
    [Google Scholar]
  14. , . Psychometric Theory (3rd ed). New York: McGraw Hill; .
    [Google Scholar]
  15. . Focus on Psychometrics. Internal Consistency Estimates of Reliability. Res Nurs Health. 1990;13:437-40.
    [CrossRef] [PubMed] [Google Scholar]
  16. . Interrater Reliability: The Kappa Statistic. Biochem Med (Zagreb). 2012;22:276-82.
    [CrossRef] [PubMed] [Google Scholar]
  17. . A New Interpretation of the Weighted Kappa Coefficients. Psychometrika. 2016;81:399-410.
    [CrossRef] [PubMed] [Google Scholar]
  18. , . The Receiver Operating Characteristic (ROC) Curve. Southwest Respir Crit Care Chron. 2017;5:34-6.
    [CrossRef] [Google Scholar]
  19. , , . Correlation Coefficients: Appropriate Use and Interpretation. Anesth Analg. 2018;126:1763-8.
    [CrossRef] [PubMed] [Google Scholar]
  20. , . Statistical Significant Change Versus Relevant or Important Change in (Quasi) Experimental Design: Some Conceptual and Methodological Problems in Estimating Magnitude of Intervention-related Change in Health Services Research. [Published correction appears in Int J Integr Care 2;8:e72] Int J Integr Care. 2002;2:e15.
    [CrossRef] [PubMed] [Google Scholar]
  21. , , , , , , et al. A Synthetic Research Project for the Development of Hospital Care Services in Thailand Part I: Hospice Care Situation in Thailand. Bangkok: Funded by the Institute of Health Systems Research. . Research Center for Health Service Development (TRC-HS) Faculty of Medicine Chulalongkorn University. Available from: https://kb.hsri.or.th/dspace/handle/11228/4924 [Last accessed on 2024 Jun 24]
    [Google Scholar]
  22. , , , , . Symptom Clusters in Patients with Advanced Cancer: A Systematic Review of Observational Studies. J Pain Symptom Manage. 2014;48:411-50.
    [CrossRef] [PubMed] [Google Scholar]
  23. , , , . The Symptom Experience of Patients with Cancer. J Hosp Palliat Nurs. 2012;14:61-70.
    [CrossRef] [PubMed] [Google Scholar]
  24. , , . Feeling Like a Burden to Others: A Systematic Review Focusing on the End of Life. Palliat Med. 2007;21:115-28.
    [CrossRef] [PubMed] [Google Scholar]
  25. . Care at the Very End-of-Life: Dying Cancer Patients and their Chosen Family's Needs. Cancers (Basel). 2017;9:11.
    [CrossRef] [PubMed] [Google Scholar]
  26. , , , , . Quality of Life (QOL) in Patients Suffering from Locally Advanced-stage Nasopharyngeal Cancer before, During and after Receiving Carboplatin with Concurrent Chemoradiotherapy. Songklanagarind Med J. 2010;28:127-37.
    [Google Scholar]
  27. , , , , . Quality Measures for Palliative Care in Patients with Cancer: A Systematic Review. J Oncol Pract. 2014;10:281-7.
    [CrossRef] [PubMed] [Google Scholar]
  28. , , . Common Symptoms and Needs of Pre-discharge Advanced-stage Cancer Patients: A Case-study at Phrae Hospital, Thailand. Thai Cancer J. 2011;23:132-45.
    [Google Scholar]
  29. , , , . Symptom Experiences, Management Strategies and Functional Status in Advanced Lung Cancer Patients Receiving Chemotherapy. J Nurs Sci. 2009;27:69-78.
    [Google Scholar]
  30. , , , , , , et al. Cancer Care Quality Measures: Symptoms and End-of-life Care. Evid Rep Technol Assess (Full Rep). 2006;137:1-77.
    [Google Scholar]
  31. , , . Symptom Experiences and Quality of Life of Patients with Advanced Cancer Receiving Chemotherapy. APHEIT J. 2017;6:45-55.
    [Google Scholar]
  32. , , . A Systematic Review of the Impact of Routine Collection of Patient Reported Outcome Measures on Patients, Providers and Health Organisations in an Oncologic Setting. BMC Health Serv Res. 2013;13:211.
    [CrossRef] [PubMed] [Google Scholar]
  33. , , , , , , et al. Prospective Study of Use of Edmonton Symptom Assessment Scale Versus Routine Symptom Management During Weekly Radiation Treatment Visits. JCO Oncol Pract. 2020;16:e1029-35.
    [CrossRef] [PubMed] [Google Scholar]
  34. , , , . Validity, Reliability, and Responsiveness of the Thai Palliative Care Outcome Scale Staff and Patient Versions among Cancer Patients. J Pain Symptom Manage. 2018;56:414-20.
    [CrossRef] [PubMed] [Google Scholar]
  35. , , , , , , et al. The Functional Assessment of Cancer Therapy-General (FACT-G) is Valid for Monitoring Quality of Life in Patients with Non-Hodgkin Lymphoma. Leuk Lymphoma. 2013;54:290-7.
    [CrossRef] [PubMed] [Google Scholar]
  36. , , , , , , et al. Minimal Important Differences of EORTC QLQ-C30 for Metastatic Breast Cancer Patients: Results from a Randomized Clinical Trial. Qual Life Res. 2022;31:1829-36.
    [CrossRef] [PubMed] [Google Scholar]
  37. , , . Single Item Measures in Psychological Science: A Call to Action. Eur J Psychol Assess. 2022;38:1-5.
    [CrossRef] [Google Scholar]
  38. , . Development of a New Type of Global Quality of Life Scale, and Comparison of Performance and Preference for 12 Global Scales. Qual Life Res. 1996;5:469-80.
    [CrossRef] [PubMed] [Google Scholar]
  39. , , , , , . Are Visual Analogue Scales Valid Instruments to Measure Psychological Pain in Psychiatric Patients? J Affect Disord. 2024;358:150-6.
    [CrossRef] [PubMed] [Google Scholar]
  40. , , , , . Electronic Patient-reported Outcomes (e-PROMs) in Palliative Cancer Care: A Scoping Review. J Patient Rep Outcomes. 2022;6:102.
    [CrossRef] [PubMed] [Google Scholar]
Show Sections