The mobile phone as a tool in improving cancer care in Nigeria
Abstract
Objective: The use of mobile phone as a tool for improving cancer care in a low resource setting. Methods: A total of 1176 oncology patients participated in the study. Majority had breast cancer. 58.4% of the patients had no formal education; 10.7 and 9.5% of patients had college or graduate education respectively. Two out of every three patients lived greater than 200 km from hospital or clinic. One half of patients rented a phone to call. Results: At 24 months, 97.6% (1132 patients) had sustained their follow‐up appointments as against 19.2% (42 patients) who did not receive the phone intervention. 72.8% (14 102 calls) were to discuss illness/treatment. 14% of the calls were rated as emergency by the oncologist. 86.2% of patients found the use of mobile phone convenient/excellent/cheap. 97.6% found the use of the phone worthwhile and preferred the phone to traveling long distance to hospital/clinic. Also the patients felt that they had not been forgotten by their doctors and were been taken care of outside the hospital/clinic. Conclusions: Low resource countries faced with the burden of cancer care, poor patient follow‐up and poor psychosocial support can cash in on this to overcome the persistent problem of poor communication in their healthcare delivery. The potential is enormous to enhance the use of mobile phones in novel ways: developing helpline numbers that can be called for cancer information from prevention to treatment to palliative care. The ability to reach out by mobile phone to a reliable source for medical information about cancer is something that the international community, having experience with helplines, should undertake with colleagues in Africa, who are experimenting with the mobile phone potential. Copyright © 2011 John Wiley & Sons, Ltd.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
An important feature of most mHealth interventions was that interactions between participants usually took place on the basis of standardized information exchange protocols.
“An important feature of most mHealth interventions was that interactions between participants usually took place on the basis of standardized information exchange protocols [36, 39, 40, 42, 43, 45–47, 49, 52, 54].”
From A realist review of mobile phone-based health interventions for non-communicable disease management in sub-Saharan Africa (2017) · cites this paper as [46]
Participating patients or providers usually required only a few days of training on how to use the mobile technology and the consultation procedures.
“Participating patients or providers usually required only a few days of training on how to use the mobile technology (such as the mobile phone and its application software) and the consultation procedures [41, 43, 46–48, 50, 55].”
From A realist review of mobile phone-based health interventions for non-communicable disease management in sub-Saharan Africa (2017) · cites this paper as [46]
In 8 included studies, mHealth interventions connected a patient to a provider, directly facilitating patient access to professional care.
“In 8 studies, mHealth interventions connected a patient to a provider, thus directly facilitating patient access to (professional) care [20, 37, 46, 50, 51, 53–55].”
From A realist review of mobile phone-based health interventions for non-communicable disease management in sub-Saharan Africa (2017) · cites this paper as [46]
Similar predisposing characteristics were reported for providers: positive attitudes, fluency in the language of the locality, and sufficient training to use the technology.
“Similar predisposing characteristics were also reported for providers, i.e., positive attitudes [38, 40, 52], fluency in the language of the locality [46, 54], and sufficient training to use the technology [47, 52].”
From A realist review of mobile phone-based health interventions for non-communicable disease management in sub-Saharan Africa (2017) · cites this paper as [46]
If patients faced access barriers such as long travel times, waiting times, and high travel costs, mHealth interventions were perceived to be useful.
“If patients faced access barriers such as long travel times, waiting times, and high travel costs, mHealth interventions were perceived to be useful [20, 42, 45, 46, 48–50, 52, 53, 55].”
From A realist review of mobile phone-based health interventions for non-communicable disease management in sub-Saharan Africa (2017) · cites this paper as [46]
For patients, the most important predisposing characteristic associated with the perception that an mHealth intervention was more useful than an alternative was patients' cultural and social acceptance of the mobile technology, involving familiarity with the technology in the community and absence of negative myths.
“For patients, the most important predisposing characteristic associated with the perception that a mHealth intervention was more useful than an alternative was the patients’ cultural and social acceptance of the mobile technology, which involved familiarity with the technology in the community and absence of negative myths [38, 40, 41, 46, 53, 55].”
From A realist review of mobile phone-based health interventions for non-communicable disease management in sub-Saharan Africa (2017) · cites this paper as [46]
Ambulance services and good roads were enabling resources for first-contact providers.
“Enabling resources for first-contact providers were access to basic infrastructure, such as electric power and functioning medical technologies [49, 52], ambulance services and good roads [46, 47], as well as the affordability of telecommunication services and other operating costs [50, 54, 55] (see Table 2).”
From A realist review of mobile phone-based health interventions for non-communicable disease management in sub-Saharan Africa (2017) · cites this paper as [46]
A tolerable additional workload was one of the most important enabling resources for specialized healthcare providers.
“For (specialized) healthcare providers, the most important enabling resources were a tolerable additional workload [40, 46, 47], the use of financial incentives [47, 55], and the availability of policy guidelines regarding data protection, phone usage, etc. [40, 43, 45, 52].”
From A realist review of mobile phone-based health interventions for non-communicable disease management in sub-Saharan Africa (2017) · cites this paper as [46]
For patients, access to mobile phones was one of the two most important enabling resources necessary for a mHealth intervention to be perceived useful.
“For patients, unsurprisingly, the two most important enabling resources necessary for a mHealth intervention to be (perceived to be) useful were access to mobile phones [37, 45, 46, 50, 53–55] (also possible through borrowing [46, 50]) and the availability of a functioning stable telecommunications network [20, 36, 39, 42, 45, 47, 48, 52, 55].”
From A realist review of mobile phone-based health interventions for non-communicable disease management in sub-Saharan Africa (2017) · cites this paper as [46]
Lack of adequate referral and transport systems contributed to specialized providers' perceived usefulness of mHealth.
“Also for (specialized) providers, several need factors contributed to the perceived usefulness of the intervention, including, for example, an over-burdening workload [20, 36, 38–41, 43, 45, 47, 50] and a lack of adequate referral and transport systems [38, 46, 47].”
From A realist review of mobile phone-based health interventions for non-communicable disease management in sub-Saharan Africa (2017) · cites this paper as [46]
Experience from Nigeria, where the mHealth intervention was as simple and inexpensive as giving specialists' contact phone numbers to cancer patients, appeared to achieve considerable benefits.
“Experience from Nigeria, where the mHealth intervention was as simple and inexpensive as giving specialists’ contact phone numbers to cancer patients, appeared to achieve considerable benefits (26).”
From Assessing the impact of mHealth interventions in low- and middle-income countries – what has been shown to work? (2014) · cites this paper as [26]
In the Nigerian cancer patient scheme, more than 25 calls each were made by almost 500 of the patients.
“More than 25 calls each were made by almost 500 of the patients.”
From Assessing the impact of mHealth interventions in low- and middle-income countries – what has been shown to work? (2014) · cites this paper as [26]
In a Nigerian cancer patient scheme, after 2 years, 19.2% of non-mobile phone patients had maintained their appointments, compared to 97.6% in the intervention group.
“After 2 years, only 19.2% of the non-mobile phone patients had maintained their appointments, compared to 97.6% in the intervention group (26).”
From Assessing the impact of mHealth interventions in low- and middle-income countries – what has been shown to work? (2014) · cites this paper as [26]
Cites
Meyer, T. J., & Mark, M. M. (1995) · Health Psychology · doi:10.1037/0278-6133.14.2.101 · Cited by 689 · see citing works
Evaluation of an internet support group for women with primary breast cancer
Winzelberg, A. J., Classen, C., Alpers, G. W., Roberts, H., Koopman, C., Adams, R. E., Ernst, H., Dev, P., & Taylor, C. B. (2003) · Cancer · doi:10.1002/cncr.11174 · Cited by 485 · see citing works
(2006) · Globalization and Health · doi:10.1186/1744-8603-2-9 · Cited by 467 · see citing works
The effects of psychoeducational care provided to adults with cancer: meta-analysis of 116 studies.
Devine, E. C., & Westlake, S. K. (1995) · PubMed · Cited by 375 · see citing works
Northouse, L., Kershaw, T., Mood, D., & Schafenacker, A. (2005) · Psycho-Oncology · doi:10.1002/pon.871 · Cited by 338 · see citing works
Follow-up for people with cancer: nurse-led services and telephone interventions
Cox, K., & Wilson, E. (2003) · Journal of Advanced Nursing · doi:10.1046/j.1365-2648.2003.02672.x · Cited by 191 · see citing works
Aaronson, N. K., Visser-Pol, E., Leenhouts, G., Muller, M. J., van der Schot, A. C., van Dam, F. S. A. M., Keus, R. B., Koning, C. C. E., Huinink, W. W. T. B., van Dongen, J. A., et al. (1996) · Journal of Clinical Oncology · doi:10.1200/jco.1996.14.3.984 · Cited by 184 · see citing works
Kerr, J., Engel, J., Schlesinger‐Raab, A., Sauer, H., & Hölzel, D. (2003) · Annals of Oncology · doi:10.1093/annonc/mdg098 · Cited by 161 · see citing works
Mobile phones in Africa: how much do we really know?
James, J. D., & Versteeg, M. E. (2007) · Social Indicators Research · doi:10.1007/s11205-006-9079-x · Cited by 152 · see citing works
Mobile Direct Observation Treatment for Tuberculosis Patients
Hoffman, J. A., Cunningham, J. R., Suleh, A. J., Sundsmo, A., Dekker, D. K., Vago, F., Munly, K., Igonya, E. K., & Hunt-Glassman, J. (2010) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2010.02.018 · Cited by 147 · see citing works
Kong, F., Jirtle, R. L., Huang, D. H., Clough, R. W., & Anscher, M. S. (1999) · Cancer · doi:10.1002/(sici)1097-0142(19991101)86:9 · Cited by 133 · see citing works
Evaluation of nurse-led follow up for patients undergoing pelvic radiotherapy
Faithfull, S., Corner, J. L., Meyer, L., Huddart, R. A., & Dearnaley, D. P. (2001) · British Journal of Cancer · doi:10.1054/bjoc.2001.2173 · Cited by 128 · see citing works
Fraser, H., Allen, C. B., Bailey, C., Douglas, G., Shin, S. S., & Blaya, J. A. (2007) · Journal of Medical Internet Research · doi:10.2196/jmir.9.4.e29 · Cited by 87 · see citing works
A Pilot Study of an Intervention for Breast Cancer Survivors and Their Spouses
Shields, C. G., & Rousseau, S. J. (2004) · Family Process · doi:10.1111/j.1545-5300.2004.04301008.x · Cited by 59 · see citing works
ENGEL, J., Kerr, J., Schlesinger‐Raab, A., Eckel, R., Sauer, H., & Hölzel, D. (2003) · European Journal of Cancer Care · doi:10.1046/j.1365-2354.2003.00414.x · Cited by 48 · see citing works
Allard, N. (2007) · Oncology nursing forum · doi:10.1188/07.onf.133-141 · Cited by 41 · see citing works
Wilmoth, M. C., Tulman, L. J., Coleman, E. A., Stewart, C. B., & Samarel, N. (2006) · Oncology nursing forum · doi:10.1188/06.onf.138-144 · Cited by 40 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Aranda-Jan, C. B., Mohutsiwa-Dibe, N., & Loukanova, S. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-188 · Cited by 644 · see citing works
Hall, C. S., Fottrell, E., Wilkinson, S., & Byass, P. (2014) · Global Health Action · doi:10.3402/gha.v7.25606 · Cited by 384 · see citing works
Chib, A., van Velthoven, M. H., & Car, J. (2015) · Journal of Health Communication · doi:10.1080/10810730.2013.864735 · Cited by 384 · see citing works
Bloomfield, G. S., Vedanthan, R., Vasudevan, L., Kithei, A., Were, M., & Velazquez, E. J. (2014) · Globalization and Health · doi:10.1186/1744-8603-10-49 · Cited by 154 · see citing works
Abaza, H., & Marschollek, M. (2017) · Methods of Information in Medicine · doi:10.3414/me17-05-0003 · Cited by 138 · see citing works
Jennings, L., & Gagliardi, L. (2013) · International Journal for Equity in Health · doi:10.1186/1475-9276-12-85 · Cited by 117 · see citing works
Opoku, D., Stephani, V., & Quentin, W. (2017) · BMC Medicine · doi:10.1186/s12916-017-0782-z · Cited by 97 · see citing works
Mobile Phone Short Message Service to Improve Malaria Pharmacoadherence in Zambia
Steury, E. E. (2016) · Journal of Nursing Scholarship · doi:10.1111/jnu.12216 · Cited by 8 · see citing works
- Authors
- Odigie, V. I., Yusufu, L. M. D., Dawotola, D. A., Ejagwulu, F., Abur, P., Mai, A., Ukwenya, Y., Garba, E. S., Rotibi, B. B., & Odigie, E. C.
- Affiliations
- Ahmadu Bello University Teaching Hospital (NG)
- Corresponding author
- Odigie, V. I.
- Mai, A.
- Odigie, E. C.
- ORCID
- Venue
- Psycho-Oncology
- Publisher
- Wiley
- Published
- 2011-02-11
- Volume
- 21
- Issue
- 3
- Pages
- 332-335
- ISSN
- 1057-9249 (ISSN-L)
- 1099-1611
- OpenAlex
- W1964667913
- Cited by
- 74
- References
- 17
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 2 · 2022: 3 · 2021: 5 · 2020: 2 · 2019: 4 · 2018: 7 · 2017: 9 · 2016: 11 · 2015: 7 · 2014: 10 · 2013: 6 · 2012: 1
- FWCI
- 10.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psycho-Oncology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Division of Graduate Education
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- cancer follow-up care, patient retention, breast cancer, resource-limited settings, healthcare communication, psychosocial support, access to cancer care, Nigeria
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Communication, Delivery of Health Care, Female, Follow-Up Studies, Humans, Male, Middle Aged, Neoplasms, Nigeria, Patient Compliance, Telemedicine, Cell Phone
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review