| Literature DB >> 34383765 |
Tausi Haruna1, Magreat Somba2, Hellen Siril2,3, Gladys Mahiti2, Francis August2, Anna Minja2, David Urassa4, Edith Tarimo5, Ferdinand Mugusi6.
Abstract
BACKGROUND: Global mortality attributable to non-communicable diseases (NCDs) occurs in more than 36 million people annually with 80% of these deaths occurring in resource limited countries. Among people living with HIV and AIDS (PLHA) studies have reported higher prevalence's of NCDs compared to the general population but most studies do report a narrow range of NCDs commonly hypertension, diabetes and neoplasms and not all. In addition, there is limited reporting, integration of systematic screening and treatment for all NCDs among PLHA attending care, suggesting the NCD burden among PLHA is likely an underestimate. Little is known about factors facilitating or hindering integration of the care and treatment of NCDs within HIV care and treatment clinics (CTCs) in Tanzania.Entities:
Mesh:
Year: 2021 PMID: 34383765 PMCID: PMC8360604 DOI: 10.1371/journal.pone.0254436
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Example of the analysis process of the main theme, categories and illustrative quotes from respondents.
| Theme | Category | Illustrative quotes from respondents |
|---|---|---|
| Current situation of availability care and treatment services for NCDs among PLHA in CTCs | Referrals to NCD clinics outside the CTC | |
| Writing prescriptions for NCD medications at the CTC for patients to purchase | ||
| Experiences of PLHA with co-morbid NCDs with access to care and treatment services for NCDs | Access to care for NCDs within the same hospital where a CTC is located |
Demographic characteristics of people living with HIV/AIDS (PLHA) and NCD comorbidity accessing HIV care and treatment clinic services in 2020, Dar es Salaam, Tanzania (N = 27).
| Characteristics | Participant N = 27 (%) |
|---|---|
| Age (Years*) | |
| Mean | 54 |
| Range | 39–70 |
| Gender | |
| Male | 4(14.8%) |
| Female | 23(85.2 |
| Marital status | |
| Single | 3(11.1%) |
| Married | 12(44.4%) |
| Divorced | 3(11.1%) |
| Widow/widower | 9(33.3%) |
| Education | |
| No formal education | 5(18.5%) |
| Incomplete primary education | 2(7.4%) |
| Completed primary education | 17(62.9%) |
| Secondary education (form four) | 2(7.4%) |
| College | 1(3.7%) |
| Occupation | |
| Business | 16(59.3 |
| Employed | 1(3.7%) |
| Unemployed | 10(37.0%) |
| NCD type | |
| Hypertension | 13(48.1%) |
| Diabetes | 4(14.8%) |
| Hypertension & Diabetes | 7(25.9%) |
| Hypertension & Heart problems | 2(7.4%) |
| Hypertension & All types of ulcers | 1(3.7%) |
Socio- demographic characteristics of CTC managers and direct health care providers (DHCP) in HIV CTCs in 2020, Dar es Salaam, Tanzania (N = 14).
| Category | Age | Sex | Qualification | Duration of work in health sector |
|---|---|---|---|---|
|
| ||||
| Participant 1 | 50 | Male | AMO | 8 years |
| Participant 2 | 51 | Female | AMO | 6 years |
| Participant 3 | 37 | Female | MD | 11 years |
| Participant 4 | 36 | Female | MD | 5 years |
| Participant 5 | 34 | Female | MD | 2 years |
|
| ||||
| Participant 1 | 25 | Female | CO | 4 years |
| Participant 2 | 28 | Female | CO | 3 years |
| Participant 3 | 36 | Male | MD | 3 years |
| Participant 4 | 54 | Male | CO | 15 years |
| Participant 5 | 39 | Female | CO | 6 years |
| Participant 6 | 41 | Female | MD | 5 years |
| Participant 7 | 44 | Female | CO | 3 years |
| Participant 8 | 37 | Female | MD | 11 years |
| Participant 9 | 41 | Female | MD | 8 years |
| Total (n) = 14 | ||||
Key
* Assistant Medical Officer
** Medical Officer
*** Clinical Officer
Fig 1Summary of findings showing how the four themes relate to each other and the categories within each theme.