| Literature DB >> 35673368 |
Nandini Vallath1, Naveen Salins2, Arunangshu Ghoshal3, Sunitha M Daniel4, Anuja Damani3, M R Rajagopal5, Rahul Raman Rewati6, Sushma Bhatnagar7, C S Pramesh8.
Abstract
Objectives: The Lancet Commission on Global Access to Palliative Care and Pain Relief reported significant levels of health-related suffering globally, with the highest incidence in the low- and middle-income countries. The report describes suffering as health-related when it is associated with illness or injury of any kind and suffering as serious when it cannot be relieved without professional intervention and when it compromises physical, social, spiritual, and/or emotional functioning. This paper describes the preliminary development phase of a tool for screening Serious Health-related Suffering (SHS) at individual patient level, suitable to the healthcare settings in India. The study was conducted by the National Cancer Grid-India, with support from the Indian Association of Palliative Care. Materials andEntities:
Keywords: Global health; Health-services accessibility/organisation and administration; Organisation and administration; Palliative care/organisation and administration; Serious health-related suffering; Universal health insurance
Year: 2022 PMID: 35673368 PMCID: PMC9165456 DOI: 10.25259/IJPC_25_2021
Source DB: PubMed Journal: Indian J Palliat Care ISSN: 0973-1075
Figure 1:The sequential methodological steps used to build consensus on the National Cancer Grid of India-serious health-related suffering screening tool.
Content analysis of poll survey data.
| Content Analysis of Poll Survey Data Specific suggestions and comments from eighty three poll participants helped fine-tune the framing and contents of the NCG-SHS screening Tool. | |
|---|---|
| Representative quotes and comments | Rationale to acknowledge and reflect upon |
| Addition of Financial related Suffering | |
| “While financial distress might add to social and spiritual sufferings, listing them as a separate and equal parameter might skew the results. For example, people with “a little” financial difficulties only need one more suffering to trigger the next step, but people without would need two suffering categories to trigger”. | ‘A little financial distress’ and ‘a little anxiety’- would qualify as ‘health-related suffering, but it will screen positive for ‘serious’ |
| Comprehensiveness of symptoms | |
| The Lancet Report listed 11 physical and 4 psychological as the main symptoms of SHS; would it be good to incorporate those in their simpler forms, to the tool? | This suggestion has been accepted to align with the Report. Provision of ‘other issues’ within the items pool, provides scope for addition of extra symptoms. |
| Likert Scale related | |
| “3 point scale is not helpful. Many might be having problems in between” | The tool had begun with a 5 point Likert but simplified to 3 point after expert review and comments, which suggested that the middle range scores in 5 point scale i.e., ‘a little’, ‘quite a bit’ and ‘very much’ were difficult for the patient to distinguish. |
|
| These suggestions were Not included, for maintaining the simplicity of the tool. |
| On using the Total score of>2 indicating presence of health-related suffering | |
|
| The context being for screening, the tool required high sensitivity over specificity. |
| “ | of this low total score was to safeguard the sensitivity of the screening tool, so that a score of 2 that indicated “A lot” of suffering, albeit in one domain may be picked by this Tool. |
|
| Since suffering is an experience, we planned to leave the basis of grading it open to the patient’s perception. When a patient answers ‘a lot’ it may mean intensity, frequency, or both. “A lot” may mean; some suffering incessantly OR it may also mean high suffering whenever it happens. Either way, it would be significant to the patient. Moreover, field testing would allow monitoring for confounding factors. |
| Adequacy of processes for responding to score>2 | |
|
| These comments expressed the poll results to an extent. While Version-3, with functional incapacity to detect ‘seriousness’ led the poll (52.5%); more than 1/3rd of voters chose version 2, with ‘patient’s preference for extra care’(34.9%). |
| Terminology in the Tool – Health Vs. Ill health | |
|
| As this is in alignment with the definition and concept of ‘health’ related suffering, the NCG-SHS Tool has integrated this suggestion– [Table 2] |
| Output documentation of the SHS-Tool | |
|
| The score of<2 is documented as no SHS. If the answer to either question in the second section is ⌧ ‘‘Yes’, then the output is documented as SHS . |
These concepts will be reviewed based on the phase-2 of the study, after the Field Test.
The Study output – The NCG - SHS screening Tool
| NCG - SHS Tool for Field Testing | ||||
|---|---|---|---|---|
| NCG-SHS-Tool Section 1- Check for Health-related Suffering | ||||
| Domain-based questions on Health-related Suffering | Not at all Score 0 | A little Score 1 | A lot Score 2 | Domain Score |
| • Associated with your health, do you suffer physically? With pain/breathing difficulty/vomiting/constipation/ weakness/feeding/loose motion/bleeding/itching/ wounds/difficulty with senses (see, hear, smell, touch, taste)/difficulty moving/other issues | P = | |||
| • Associated with your health, do you suffer emotionally? Feeling sad/unloved/worried/angry/lonely/difficulty sleeping/confused/poor memory/other issues | E = | |||
| • Associated with your health, do you suffer due to issues with family/relationships/friends/community/feeling isolated/difficulty at work/difficulty with hospital visits/ difficulty communicating/other issues | S = | |||
| • Associated with your health, do you suffer due to feeling punished/fearful/shame/guilty/angry with God/no meaning in life/disconnected/other issues | Sp = | |||
| F = | ||||
| • Is there the Presence of Health-related Suffering? P+E + S+Sp+F | Total Score ≥ 2 | Total Score < 2 | ||
| Domains: P- Physical; E – Emotional; S – Relations/Social; Sp – Spiritual; F- Financial | ||||
|
| ||||
|
| ||||
|
| ||||
| A) Has this suffering limited you from doing what you need to do, for >14 days over the last 30 days? e.g., self-care (feed, bathe, dress, walk, toilet); care for others; communicate; learn/think/perform duties; sleep/rest? Yes / No | B) Do you seek additional professional help for these concerns? Yes / No | |||
|
|
| |||
| 1. ⎕ YES, to both A and B | SHS ☑ | Seeks Help ☑ | ||
| 2. ⎕ NO to A and YES to B | SHS ☑ | Seeks Help ☑ | ||
| 3. ⎕ YES, to A and NO to B | SHS ☑ | Seeks Help ☒ | ||
| 4. ⎕ NO to both A and B | SHS ☒ | Seeks Help ☒ | ||
| Indicators | India | Ghana | Pakistan | Bangladesh | Egypt | Philippines | Nepal | Myanmar | USA |
|---|---|---|---|---|---|---|---|---|---|
| Classification by Income Group^ | LMICs | HIC | |||||||
| Health Expenditure as % of GDP* | 3.53 (2017) | 3.26 (2017) | 2.90 (2017) | 2.27 (2017) | 5.29 (2017) | 4.45 (2017) | 5.55 (2017) | 4.66 (2017) | 17.06 (2017) |
| Rate of People with SHS for Cancer (in thousands)^^ | 0.994 | 0.734 | 0.991 | 1.021 | 1.385 | 1.122 | 0.967 | 1.673 | 3.127 |
| Hospital Beds (per 10,000 population)# | 5.3 (2017) | 9 (2011) | 6.3 (2017) | 7.95 (2016) | 14.3 (2017) | 9.9 (2017) | 3 (2012) | 10.44 (2017) | 28.7 (2017) |
^The World Bank Data: The World Bank: Low and middle income. https://data.worldbank.org/income-level/low-and-middle-income?view=chart
*Reference for country level data: Global Health Expenditure Database: World Health Organization: Current health expenditure (% of GDP). https://data.worldbank.org/indicator/SH.XPD.CHEX.GD.ZS
^^Reference for country level data: Global Data Platform To Calculate SHS And Palliative Care Need – Serious Health-related Suffering Database 2015 - https://hospicecare.com/what-we-do/resources/global-data-platform-to-calculate-shs-and-palliative-care-need/database/
#Reference for country level data: Global Health Observatory: World Health Organization: World Health Data Platform/GHO/Indicators: Hospital beds (per 10000 population) https://www.who.int/data/gho/data/indicators/indicator-details/GHO/hospital-beds-(per-10-000-population)