| Literature DB >> 34116657 |
Hubert Amu1,2, Eugene Kofuor Maafo Darteh3, Elvis Enowbeyang Tarkang4, Akwasi Kumi-Kyereme3.
Abstract
BACKGROUND: While the burden and mortality from chronic non-communicable diseases (CNCDs) have reached epidemic proportions in sub-Saharan Africa (SSA), decision-makers and individuals still consider CNCDs to be infrequent and, therefore, do not pay the needed attention to their management. We, therefore, explored the practices and challenges associated with the management of CNCDs by patients and health professionals.Entities:
Keywords: Chronic disease; Disease management; Ghana; Health personnel; Patients; Qualitative research
Mesh:
Year: 2021 PMID: 34116657 PMCID: PMC8196497 DOI: 10.1186/s12889-021-11170-4
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Conceptual framework
Sampling of participants
| Situation | Sampling procedure | Recruitment Strategy/ Inclusion Criteria |
|---|---|---|
| Out-patient units with designated clinic days for patients with a particular CNCD | Accidental sampling | Exit strategy was used to recruit patients after receiving care |
| Out-patient units where several health conditions were presented including those that the study was not interested in | Purposive sampling | Exit strategy was used to recruit patients after receiving care |
| In-patient units/departments which had several patients | Purposive sampling | • The nurse in charge helped to identify patients with CNCDs of interest to the study using patients’ registers • Patients who were active/stable, could communicate clearly, and not in pain/discomfort were recruited |
| Patients with co-morbidities | Purposive | • Patients with comorbidities of interest to the study were recruited for all the CNCDs they had. • Patients with comorbidities of interest to the study were recruited for all the CNCDs they had |
| Health Professionals | Purposive | • Only health professionals managing CNCDs of interest to the study were recruited • Health professionals who had worked in the respective departments/unit for at least 6 months, managing the respective CNCDs were recruited |
Background characteristics of health professionals
| Variable | KATH | KBTH | BOTH HOSPITALS | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Male% | Female% | Total%( | Male% | Female% | Total %( | Male% | Female% | Total%( | |
| 20–29 | 13.3 | 20.0 | 33.3 | – | 26.7 | 26.7 | 6.7 | 23.3 | 30.0 |
| 30–39 | 20.0 | 33.3 | 53.3 | 6.7 | 40.0 | 46.7 | 13.3 | 36.7 | 50.0 |
| 40–49 | 6.7 | 6.7 | 13.4 | 6.7 | 6.7 | 13.3 | 6.7 | 6.7 | 13.3 |
| 50–59 | – | – | – | – | 13.3 | 13.3 | – | 6.7 | 6.7 |
| Diploma | 20.0 | 13.3 | 33.3 | – | 6.7 | 6.7 | 10.0 | 10.0 | 20.0 |
| 1st degree | 13.3 | 46.7 | 60.0 | – | 79.9 | 79.9 | 6.7 | 63.3 | 70.0 |
| 2nd degree | 6.7 | – | 6.7 | 6.7 | – | 6.7 | 6.7 | – | 6.7 |
| 3rd degree | – | – | – | 6.7 | – | 6.7 | 3.3 | – | 3.3 |
| Never married | 26.7 | 13.3 | 40.0 | – | 20.0 | 20.0 | 13.3 | 16.7 | 30.0 |
| Married | 6.7 | 46.6 | 53.3 | 13.3 | 66.7 | 80.0 | 10.0 | 56.7 | 66.7 |
| Divorced | – | – | – | – | – | – | – | – | – |
| Widowed | – | 6.7 | 6.7 | – | – | – | – | 3.3 | 3.3 |
| Christianity | 33.3 | 60.0 | 93.3 | 13.3 | 80.0 | 93.3 | 23.3 | 95.5 | 93.3 |
| Islam | 6.7 | – | 6.7 | – | 6.7 | 6.7 | 3.3 | 3.3 | 6.6 |
| Mole-Dagbani | 6.7 | – | 6.7 | – | – | – | 3.3 | – | 3.3 |
| Ewe | 6.7 | – | 6.7 | – | 6.7 | 6.7 | 3.3 | 3.3 | 6.3 |
| Akan | 26.6 | 60.0 | 86.6 | 13.3 | 66.7 | 80 | 20.0 | 63.3 | 83.3 |
| Ga/Dangmegbani | – | – | – | – | 13.3 | 13.3 | – | 6.7 | 6.7 |
| Medical doctor | – | 6.7 | 6.7 | 13.3 | – | 13.3 | 6.7 | 3.3 | 10.0 |
| Nurse | 20.0 | 53.3 | 73.3 | – | 60.0 | 60.0 | 10.0 | 56.7 | 66.7 |
| Optometrist | – | – | – | – | 6.7.0 | 6.7 | – | 3.3 | 3.3 |
| Physiotherapist | 13.3 | 6.7 | 20.0 | – | 20.0 | 20.0 | 6.7 | 13.3 | 20.0 |
| 1–5 | 20.0 | 33.3 | 53.3 | – | 40.0 | 40.0 | 10.0 | 36.7 | 46.7 |
| 6–10 | 20.0 | 20.0 | 40.0 | 13.3 | 26.7 | 40.0 | 16.7 | 23.3 | 40.0 |
| 11+ | – | 6.7 | 6.7 | – | 20.0 | 20.0 | – | 13.3 | 13.3 |
Background characteristics of patients
| Background characteristic | KATH | KBTH | BOTH HOSPITALS | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Male% | Female% | Total%( | Male% | Female% | Total%( | Male% | Female% | Total%( | |
| 20–29 | 4.9 | 9.8 | 14.7 | 4.9 | 4.9 | 9.8 | 4.9 | 7.3 | 12.2 |
| 30–39 | 4.9) | 7.3 | 12.2 | – | – | – | 2.4 | 3.7 | 6.2 |
| 40–49 | 4.9 | 4.9 | 9.8 | 7.3 | 4.9 | 12.2 | 6.1 | 4.9 | 10.9 |
| 50–59 | 9.8 | 9.8 | 19.6 | 9.8 | 9.8 | 19.6 | 9.8 | 9.8 | 19.5 |
| 60+ | 14.5 | 29.2 | 43.7 | 26.7 | 31.7 | 58.4 | 20.7 | 30.5 | 51.2 |
| No formal education | 2.3 | 9.8 | 12.1 | 2.4 | 4.9 | 7.3 | 2.4 | 7.3 | 9.8 |
| Primary | – | 9.8 | 9.8 | – | 2.4 | 2.4 | – | 6.1 | 6.1 |
| Middle school/JHS | 17.1 | 14.6 | 31.7 | – | 4.9 | 4.9 | 8.5 | 9.8 | 18.3 |
| SHS/O’level/A’level | 14.6 | 17.1 | 31.7 | 21.9 | 36.7 | 58.6 | 18.3 | 26.8 | 45.1 |
| Tertiary | 4.9 | 9.8 | 14.7 | 21.9 | 4.9 | 26.8 | 13.4 | 7.3 | 20.7 |
| Never married | 2.4 | 12.2 | 14.6 | 4.9 | 7.3 | 12.2 | 3.7 | 9.8 | 13.4 |
| Married | 34.1 | 19.6 | 53.7 | 41.5 | 34.1 | 75.1 | 37.8 | 26.8 | 64.7 |
| Divorced | 2.4 | 12.2 | 14.6 | – | 2.4 | 2.4 | 1.2 | 7.3 | 8.5 |
| Widowed | – | 17.1 | 17.1 | – | 9.8 | 9.8 | – | 13.4 | 13.4 |
| Christianity | 36.6 | 53.7 | 90.3 | 36.6 | 46.3 | 82.9 | 36.6 | 50.0 | 86.6 |
| Islam | 2.4 | 7.3 | 9.7 | 7.3 | 9.8 | 17.1 | 4.9 | 8.5 | 13.4 |
| Unemployed | 2.4 | 14.6 | 17.0 | 4.9 | 17.1 | 22 | 3.7 | 15.9 | 19.5 |
| Retired civil servant | 2.4 | 7.3 | 9.7 | 14.7 | 2.4 | 17.1 | 8.5 | 4.9 | 13.4 |
| Farmer | 9.8 | 4.9 | 14.7 | – | 2.4 | 2.4 | 4.9 | 3.7 | 8.5 |
| Trader | 4.9 | 4.9 | 22.0 | – | 22.0 | 22 | 2.4 | 13.4 | 15.9 |
| Driver | 7.3 | 17.1 | 24.4 | 2.4 | – | 2.4 | 4.9 | 8.5 | 13.4 |
| Civil servant | 2.4 | 4.9 | 7.3 | 17.1 | 2.4 | 19.5 | 9.8 | 3.7 | 13.4 |
| Artisan | 4.9 | 12.2 | 17.1 | 7.3 | 7.3 | 14.6 | 6.1 | 9.8 | 15.9 |
| Mole-Dagbani | 4.9 | 14.6 | 19.5 | 4.9 | 4.9 | 9.8 | 4.9 | 8 (9.8 | 14.6 |
| Akan | 24.4 | 39.0 | 63.4 | 24.4 | 19.5 | 43.9 | 24.4 | 29.3 | 53.8 |
| Ewe | 7.3 | 2.4 | 9.8 | 7.3 | 12.2 | 19.5 | 7.3 | 7.3 | 14.6 |
| Ga/Dangme | – | 4.9 | 4.9 | 9.8 | 14.6 | 24.4 | 4.9 | 9.8 | 14.6 |
| Nigerian | – | 2.4 | 2.4 | – | 2.4 | 2.4 | – | 2.4 | 2.4 |
| Greater Accra | 2.4 | – | 2.4 | 36.7 | 43.9 | 80.6 | 19.4 | 21.9 | 41.5 |
| Central | 2.4 | 2.4 | 4.9 | 7.3 | 4.9 | 12.2 | 4.9 | 3.6 | 8.5 |
| Volta | – | – | – | – | 2.4 | 2.4 | – | 1.2 | 1.2 |
| Eastern | – | 2.4 | 2.4 | – | – | – | – | 1.2 | 1.2 |
| Ashanti | 29.3 | 36.6 | 65.9 | 2.4 | 2.4 | 4.8 | 15.9 | 19.5 | 35.4 |
| Northern | 2.4 | 17.2 | 19.6 | – | – | – | 1.2 | 8.6 | 9.8 |
| Upper East | 2.4 | – | 2.4 | – | – | – | 1.2 | – | 1.2 |
| Upper West | – | 2.4 | 2.4 | – | – | – | – | 1.2 | 1.2 |
| Eye cancer | – | 2.4 | 2.4 | 2.4 | – | 2.4 | 2.5 | 1.2 | 3.7 |
| Prostate cancer | 4.9 | – | 4.9 | 4.9 | – | 4.9 | 4.9 | – | 4.9 |
| Breast cancer | – | 2.4 | 2.4 | – | – | – | – | 1.2 | 1.2 |
| Cervical cancer | – | – | – | – | 2.4 | 2.4 | – | 1.2 | 1.2 |
| Leukaemia | – | – | – | 2.4 | – | 2.4 | 1.2 | – | 1.2 |
| Asthma | 2.4 | – | 2.4 | 2.4 | 4.9 | 7.3 | 2.4 | 2.4 | 4.9 |
| Diabetes | 2.4 | 7.3 | 9.8 | – | 2.4 | 2.4 | 1.2 | 4.9 | 6.2 |
| Sickle cell | – | 4.9 | 4.9 | 2.4 | 2.4 | 4.9 | 1.2 | 3.7 | 4.9 |
| Stroke | 4.9 | 9.8 | 14.6 | 4.9 | 7.3 | 12.2 | 4.9 | 8.5 | 13.4 |
| Glaucoma | 7.3 | 2.4 | 9.8 | 9.8 | 7.3 | 17.1 | 8.5 | 4.9 | 13.4 |
| Chronic kidney disease | 7.3 | 2.4 | 9.8 | 4.9 | 4.9 | 9.8 | 6.1 | 3.7 | 9.8 |
| Chronic lung disease | – | 4.9 | 4.9 | – | 2.4 | 2.4 | – | 3.7 | 3.7 |
| Hypertension | 2.4 | 4.9 | 7.3 | – | 7.3 | 7.3 | 1.2 | 6.1 | 7.3 |
| Hypertension & Diabetes | 2.4 | 7.3 | 9.8 | 2.4 | 4.9 | 7.3 | 2.4 | 6.1 | 8.5 |
| Hypertension, Diabetes & stroke | – | 2.4 | 2.4 | – | – | – | – | 1.2 | 1.2 |
| Hypertension, Diabetes & glaucoma | – | 2.4 | 2.4 | _ | – | – | – | 1.2 | 1.2 |
| Hypertension & Glaucoma | – | 4.9 | 4.9 | – | – | – | – | 2.4 | 2.4 |
| Hypertension & Chronic kidney disease | – | – | – | – | 4.9 | 4.9 | – | 2.4 | 2.4 |
| Hypertension & Prostate cancer | – | – | – | 2.4) | – | 2.4 | 1.2 | – | 1.2 |
| Hypertension, Asthma & prostate cancer | – | – | – | 2.4 | – | 2.4 | 1.2 | – | 1.2 |
| Hypertension & stroke | 2.4 | 2.4 | 2.4 | 2.4 | 2.4 | 4.9 | 2.4 | 2.4 | 4.9 |
| Diabetes & breast cancer | – | – | 2.4 | – | 2.4 | 2.4 | – | 1.2 | 1.2 |
Themes
| Main themes | Sub-themes |
|---|---|
| General management practices by health professionals | General assessment of patients’ conditions |
| • Checking of vital signs | |
| • Laboratory tests | |
| • History taking | |
| General education of patients | |
| • On the state of their conditions | |
| • On taking medications | |
| • On proper storage of the medicines | |
| Specific management practices by health professionals | Based on specific CNCD presented |
| • Treatment depends on the CNCD presented | |
| • Different medications and foods | |
| Based on the stage of the condition at presentation | |
| • Patients with early-stage presentation get life-saving interventions | |
| • Patients with late-stage presentation only get treatment to ease pain and suffering | |
| Self-management practices by patients | Self-restrictions |
| • Diet restrictions | |
| • Avoidance of triggers | |
| Exercise | |
| • Walking | |
| Personal first aid | |
| • Carrying out of warm water compression | |
| Use of anthropometric equipment to monitor health status | |
| • Monitoring of sugar level with a glucometer | |
| Challenges in the management of CNCDs | Personal challenges of health professionals |
| • Language barrier | |
| • Work-related stress emanating from heavy workload | |
| Institutional challenges of health professionals | |
| • Poor utility supply | |
| • Inadequate logistics | |
| • Inadequate staff | |
| • Inadequate motivation | |
| • Inadequate infrastructure | |
| • Inadequate in-service training | |
| Patient-related challenges | |
| • Financial challenges | |
| • Social challenges |