| Literature DB >> 33533501 |
Patricia Villain1, Andre L Carvalho1, Eric Lucas1, Isabel Mosquera1, Li Zhang1, Richard Muwonge1, Farida Selmouni1, Catherine Sauvaget1, Partha Basu1.
Abstract
We conducted a study to document the impact of COVID-19 pandemic on cancer screening continuum in selected low- and middle-income countries (LMICs). LMICs having an operational cancer control plan committed to screen eligible individuals were selected. Managers/supervisors of cancer screening programs were invited to participate in an online survey and subsequent in-depth interview. Managers/supervisors from 18 programs in 17 countries participated. Lockdown was imposed in all countries except Brazil. Screening was suspended for at least 30 days in 13 countries, while diagnostic-services for screen-positives were suspended in 9 countries. All countries except Cameroon, Bangladesh, India, Honduras and China managed to continue with cancer treatment throughout the outbreak. The participants rated service availability compared to pre-COVID days on a scale of 0 (no activities) to 100 (same as before). A rating of ≤50 was given for screening services by 61.1%, diagnostic services by 44.4% and treatment services by 22.2% participants. At least 70% participants strongly agreed that increased noncompliance of screen-positive individuals and staff being overloaded or overwhelmed with backlogs would deeply impact screening programs in the next 6 months at least. Although many of the LMICs were deficient in following the "best practices" to minimize service disruptions, at least some of them made significant efforts to improve screening participation, treatment compliance and program organization. A well-coordinated effort is needed to reinitiate screening services in the LMICs, starting with a situational analysis. Innovative strategies adopted by the programs to keep services on-track should be mutually shared.Entities:
Keywords: COVID-19; cancer screening; low- and middle-income countries
Mesh:
Year: 2021 PMID: 33533501 PMCID: PMC8014228 DOI: 10.1002/ijc.33500
Source DB: PubMed Journal: Int J Cancer ISSN: 0020-7136 Impact factor: 7.316
Human development index (HDI), cancer mortality rates, participants' profile, COVID‐19 disease profile, the dates of completion of survey and in‐depth interview by participating countries (grouped by HDI category and in ascending order of HDI values)
| Country (region, when applicable) | HDI category (HDI value) | Cancer mortality rates | Participant's role in cancer screening program | Screening programs that the participants reported on | Month of detection of first confirmed COVID‐19 case | % change in weekly COVID‐19 cases in the week of completing the interview | Date of completion of survey | Date of in‐depth interview |
|---|---|---|---|---|---|---|---|---|
| Côte d'Ivoire | Low (0.474) | 82.5 | Program focal point | Breast, cervical | March 2020 | +21.58% | 01/09/2020 | 06/11/2020 |
| Cameroon | Low (0.518) | 75.3 | Program supervision, within MoH | Breast, cervical, prostate | March 2020 | −6.64% | 01/09/2020 | 12/10/2020 |
| Rwanda | Low (0.536) | 104.8 | Program supervision, outside MoH | Breast, cervical | March 2020 | +9.30% | 20/09/2020 | 05/11/2020 |
| Bangladesh | Medium (0.579) | 77.1 | Program focal point | Breast, cervical | March 2020 | −6.76% | 13/08/2020 | 08/10/2020 |
| Zambia | Medium (0.579) | 90.5 | Program focal point | Breast, cervical | March 2020 | +32.08% | 02/09/2020 | 14/10/2020 |
| Bhutan | Medium (0.607) | 76.6 | Program focal point | Breast, cervical, gastric, oral | March 2020 | −20% | 19/09/2020 | 23/10/2020 |
| India (Assam) | Medium (0.624) | 61.4 | Program focal point | Breast, cervical, oral | January 2020 | +12.16% | 05/09/2020 | 25/09/2020 |
| India (Tamil Nadu) | Program supervision, within MoH | Breast, cervical, oral | February 2020 | 31/08/2020 | 01/11/2020 | |||
| Honduras | Medium (0.625) | 81.8 | Program supervision, within MoH | Cervical | March 2020 | +38.71% | 24/08/2020 | 22/09/2020 |
| Morocco | Medium (0.647) | 86.9 | Program supervision, outside MoH | Breast, cervical | March 2020 | −27.55% | 01/09/2020 | 16/10/2020 |
| Paraguay | Medium (0.693) | 86.6 | Program focal point | Breast, cervical, colorectal | March 2020 | −5.01% | 24/08/2020 | 14/09/2020 |
| China (Tianjin) | High (0.738) | 130.1 | Program supervision, outside MoH | Breast, lung, gastric, liver | January 2020 | −10.24% | 07/09/2020 | 18/09/2020 |
| Thailand | High (0.74) | 104.8 | Program focal point | Breast, cervical, colorectal | March 2020 | −48.48% | 22/09/2020 | 15/10/2020 |
| Brazil | High (0.754) | 91.3 | Program focal point | Breast, cervical | March 2020 | +12.51% | 18/09/2020 | 22/10/2020 |
| Sri Lanka | High (0.766) | 51.0 | Program supervision, within MoH | Breast, cervical, oral | January 2020 | −4.82% | 17/09/2020 | 13/10/2020 |
| Iran (Islamic Republic of) | High (0.774) | 74.5 | Program focal point | Breast, cervical, colorectal | January 2020 | −4.01% | 18/08/2020 | 28/09/2020 |
| Malaysia | High (0.789) | 85.5 | Program supervision, within MoH | Colorectal | January 2020 | −37.32% | 17/09/2020 | 22/09/2020 |
| Romania | Very high (0.802) | 123.3 | Program supervision, outside MoH | Breast, cervical | February 2020 | −6.76% | 16/08/2020 | 29/09/2020 |
Age standardized for world population.
The participant reported primarily for colorectal cancer screening. During in‐depth interview she informed that all cancer screening programs (breast, cervical, colorectal and oral) were equally affected in Malaysia (HDI, human development index; MoH, Ministry of Health).
Information on lockdown and rating of availability of screening, diagnostic and cancer treatment services by the survey participants in the participating countries (grouped by HDI category and in ascending order of HDI value)
| Country (region, when applicable) (HDI category) | If any lockdown was imposed, whether national or regional at first instance (period by month, year) | Status of administering screening tests | Status of diagnostic services for screen‐positive individuals | Status of treatment services for cancer patients | |||
|---|---|---|---|---|---|---|---|
| Whether suspended anytime | Rating of current services compared to pre‐COVID time | Whether suspended anytime | Rating of current services compared to pre‐COVID time | Whether suspended anytime | Rating of current services compared to pre‐COVID time | ||
| Côte d'Ivoire (low) | Yes, regional (June‐August 2020) | No | 65 | No | 68 | No | 65 |
| Rwanda (low) | Yes, national (March‐April 2020) | No | 95 | No | 95 | No | 96 |
| Cameroon (low) | Yes, national (April‐July 2020) | Yes | 50 | No | 75 | Yes | 75 |
| Bangladesh (medium) | Yes, national (March‐May 2020) | Yes | 14 | Yes | 23 | Yes | 15 |
| Zambia (medium) | Yes, regional (March‐May 2020) | Yes | 62 | No | 70 | No | 80 |
| Bhutan (medium) | Yes, national (August‐September 2020) | Yes | 0 | Yes | 50 | No | 100 |
| India (Assam) (medium) | Yes, national (March‐June 2020) | Yes | 15 | Yes | 20 | Yes | 30 |
| India (Tamil Nadu) (medium) | Yes, national (March‐June 2020) | Yes | 50 | Yes | 50 | Yes | 50 |
| Honduras (medium) | Yes, national (March‐August 2020), then regional | Yes | 20 | Yes | 20 | Yes | 20 |
| Morocco (medium) | Yes, national (March‐June 2020) | Yes | 30 | Yes | 30 | No | 70 |
| Paraguay (medium) | Yes, national (March‐September 2020) | Yes | 20 | Yes | 20 | No | 65 |
| China (Tianjin) (high) | Yes, national (January‐April 2020) | Yes | 85 | Yes | 90 | Yes | 95 |
| Thailand (high) | Yes, national (March‐June 2020) | Yes | 90 | Yes | 90 | No | 90 |
| Brazil (high) | No | No | 43 | No | 68 | No | 64 |
| Sri Lanka (high) | Yes, national (March‐June 2020) | Yes | 85 | No | 100 | No | 100 |
| Iran (Islamic Republic of) (high) | Yes, regional (February‐April 2020) | No | 50 | No | 64 | No | 83 |
| Malaysia (high) | Yes, national (March‐April 2020) | Yes | 75 | No | 75 | No | 75 |
| Romania (very high) | Yes, national (April‐May 2020) | Yes | 8 | Yes | 8 | No | 97 |
Abbreviation: HDI, Human development index.
No service provided for at least 1 month (could be during or beyond lockdown period).
Rated on a sliding scale ranging between 0 (No activities) and 100 (same as pre‐COVID time) on the date of survey and updated on the date of in‐depth interview, if felt necessary.
FIGURE 1Rating of screening, diagnostic and cancer treatment services as on the date of in‐depth interview compared to pre‐COVID time by the participants from the countries (grouped by HDI category and in ascending order, from left to right, of HDI value) on a sliding scale ranging between 0 (no activities) and 100 (same as pre‐COVID time). Total suspension of the service for at least 1 month during the outbreak (generally in lockdown) was represented in diagonal dashed lines [Color figure can be viewed at wileyonlinelibrary.com]
New strategies adopted by the countries to ensure continuity of screening, diagnostic and treatment services during the lockdown and beyond and/or to improve overall program organization
| Purpose | Description of new strategy | Countries where introduced during the lockdown | Countries where introduced after the lockdown |
|---|---|---|---|
| To improve screening coverage | Improve community outreach through mobile clinics; expand screening services to the rural primary health centers and anti‐retroviral therapy (ART) clinics | Rwanda* | Bangladesh**, Zambia** |
| Use campaigns to screen a large number of individuals in a day maintaining social distancing | Bangladesh** | ||
| Online appointment system for cancer screening | China***, Sri Lanka*** | ||
| Using community health workers to distribute kits for colorectal cancer screening and educate the community | Malaysia | ||
| To ensure high compliance to further management of screen‐positive individuals | Minimize the number of clinic visits (ie, switch to “screen and treat” approach from existing “screen colposcopy and treat” approach for cervical cancer screening) | Rwanda* | Bangladesh** |
| Use magnifying device (compact colposcopes) to improve decision making for treatment | Bangladesh** | ||
| Online delivery of test results, or set up a hotline to manage screen‐positive cases | India**, China*** | ||
| Tele‐consultation for the screen‐positive individuals | Malaysia*** | India** | |
| Transport services or reimbursement for the screen‐positive individuals | Rwanda* | Zambia** | |
| Call the screen‐positives or send short text messages on mobile phones | Rwanda*, Paraguay** | Zambia** | |
| Testing of already collected samples during lockdown to reduce backlogs | Honduras** | ||
| To improve/ensure access to cancer treatment | Dedicated hotlines or mobile apps for cancer patients to seek hospital appointment and advice | Cameroon*, Bhutan**, Malaysia*** | India** |
| Free transport for cancer patients | Bhutan** | India** | |
| Keeping oncology center(s) open | Bhutan**, Paraguay** | India** | |
| Creating teams of youth volunteers to assist and guide patients to reach oncology centers | India** | ||
| Ensuring the supply of oncology drugs through special procurement channels | Bhutan**, Sri Lanka*** | India** | |
| Centralized call center at the major oncology centers and a patient database management system to manage mainly cancer patients access appointments, follow‐up noncompliant patients | India** | ||
| To improve overall program organization | Take the opportunity to minimize opportunistic screening and move toward introducing population‐based screening | Brazil*** | |
| Postpone certain components of scaling up and focus on improved organization of existing cancer screening | Zambia**, Bhutan** | ||
| Centralize management of the COVID‐19 outbreak in order to free primary services to provide routine care | Iran (Islamic Republic of)*** |
Low Human development index (HDI) country (*), medium HDI country (**), high or very high HDI country (***).
Degree of agreement of the study participants to a particular factor suggested to have major impact on services associated with cancer screening over next six months at least
| Degree of agreement (range) | Factors suggested to have major impact on services associated with cancer screening over next 6 months at least | |||||||
|---|---|---|---|---|---|---|---|---|
| Individuals will be reluctant to participate | Noncompliance of screen‐positive individuals will increase | Number of staff available for screening related activities will be reduced | Providers will not prioritize screening | Service providers will be overloaded | Diagnostic and treatment services will be overwhelmed with backlogs | Planned expansion of program will be withheld due to competing priorities | Screening program will have less financial resources | |
| Number (%) of participants in the range of agreement for different factors | ||||||||
| 75 to 100 | 6 (33.3%) | 4 (22.2%) | 3 (16.7%) | 3 (16.7%) | 6 (33.3%) | 3 (16.7%) | 5 (27.8%) | 5 (27.8%) |
| 50 to <75 | 5 (27.8%) | 9 (50.0%) | 6 (33.3%) | 7 (38.9%) | 9 (50.0%) | 10 (55.6%) | 6 (33.3%) | 6 (33.3%) |
| 25 to <50 | 3 (16.7%) | 1 (5.6%) | 4 (22.2%) | 3 (16.7%) | 0 | 4 (22.2%) | 4 (22.2%) | 1 (5.6%) |
| <25 | 4 (22.2%) | 4 (22.2%) | 4 (22.2%) | 5 (27.8%) | 3 (16.7%) | 1 (5.6%) | 3 (16.7%) | 6 (33.3%) |
The study participants rated their agreement on a sliding scale ranging between 0 (do not agree at all) and 100 (completely agree).