| Literature DB >> 29370779 |
Bridget Chatora1, Harrington Chibanda2, Linda Kampata3, Mutale Wilbroad3.
Abstract
BACKGROUND: HIV workplace policies have become an important tool in addressing the HIV Pandemic in Sub-Saharan Africa. In Zambia, the National AIDS Council has been advocating for establishing of HIV/AIDS workplace policies to interested companies, however no formal evaluation has been done to assess uptake and implementation. The study aimed to establish the existence of HIV/AIDS policies and programs in the private sector and to understand implementation factors and experiences in addressing HIV epidemic drivers through these programs.Entities:
Keywords: HIV/AIDS; Implementation; Policy; Programs; Workplace
Mesh:
Year: 2018 PMID: 29370779 PMCID: PMC5785818 DOI: 10.1186/s12889-018-5072-y
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1An illustration of the conceptual framework for successful implementation of HIV and AIDS workplace policy as adapted from the health policy initiative [11]. The 7 dimensions of; 1. Policy, 2. Context, 3. Leadership 4. Stakeholders, 5. Reasources, 6. Programs and 7. Monitor & Evaluations all interact in a complex policy environment to ether facilitate or hinder successful implementation of the policy
The table presents all the variables used in the study for both quantitative and qualitative data
| Dependant: HIV and AIDS Policy |
| 1. Policy: Availability: Quantitative: Yes/ No and Qualitatively: Reason for having /not having policy |
| A) Involvement in information for 1. Employees 2. Management; 1. Quantitatively: Yes/No |
| B) 1. Dissemination of Policy: Quantitative Yes/No; 2. Extent of dissemination; I. Non II. Limited with no forums, III. Wide- with forum |
| 2. Policy content objective addressing I. Gender integration, II. Needs of people living with HIV, III. HIV and AIDS in the workplace. |
| Quantitative -Yes/No; Extent of addressing: I. All addressed II. Most are addressed, III. Not addressed at all, IV. No response |
| V. Do not know extent |
| Independent: Workplace Programs |
| 3. Leadership: support for policy; Quantitative Yes/No. I. Top Management, II. Lower management, III. Union leaders. |
| A. Rating of effectiveness at implementation by I. Management, II.HIV and AIDS committees. Quantitative Yes /No |
| Qualitative explanation on experience on leadership. |
| 4. Stake holder Involvement. Quantitative Yes/No: Qualitative: explanation on experience with stake holders. |
| 5. HIV/AIDS workplace programs Availability: Quantitatively Yes/No |
| B) Employee involvement/participation in programs: Quantitatively Yes/No |
| I. Males, II. Females, III. Managers, IV. Union leaders, V. People living with HIV. Qualitatively explanation. |
| A) Elements of programs provided: Quantitative: Yes/No: |
| 1. Awareness on HIV, 2. Voluntary Counselling service Testing, 3. Antiretroviral treatment (ART), 4. Provision of condoms Male |
| 5. Female condoms 6. Prevention of mother to Child transmission. |
| B) How the workplace provides this service 1) On site, 2.Governement clinic 3. Sub contracted external provide, other. |
| C) Key epidemic drivers addressed by HIV Program: I) Quantitative Yes/No. II. Extent to which programs address; |
| I. Stigma and discrimination on HIV, II. Medical Male Circumcision and HIV, III. Condom Use and HIV IV. Sex workers and HIV |
| V. Alcohol abuse and HIV, VI. Gender based violence and HIV, VII. Males having sex with Males and HIV. |
| Qualitative explanation on extent to which selected epidemic drivers are addressed. |
| 6. Resource: Human, Financial, Equipment, supplies and Information; Scaled sufficiency I. Completely sufficient II. Insufficient, III. Mostly sufficient, IV. Somewhat Sufficient. |
| 7. Monitoring & Evaluation Processes: Quantitative Yes/No I. Internal, II. External monitoring 2.Qualitative explanation on Indicators and monitoring systems. |
Demographic characteristics of the 128 key program implementers that were interviewed in 128 workplaces, distribution by gender, age and job titles
| Gender Distribution | Maximum age in years | Minimum age in years | Average Age in years | Age Range in years | |
|---|---|---|---|---|---|
| Males | 83 (64.84%) | 56 | 29 | 42 | 29–56 |
| Females | 45 (35.15%) | 58 | 25 | 41 | 26–58 |
| Total | 128 | Overall average age 42 years | Overall age range | ||
| Distribution of Respondents by Job title in 128 workplaces surveyed. | |||||
| # | Job Title | Frequency | # | Job Title | Frequency |
| 1 | Human resources managers | 86 (67.19%) | 7 | Deputy head teachers | 2 (1.56%) |
| 2 | Human resources officer | 11 (8.59%) | 8 | Chief executives | 1 (1.56%) |
| 3 | Accountant | 5 (3.91%) | 9 | Dean of students | 1 (1.56%) |
| 4 | Assistant Accountant | 3 (2.34%). | 10 | Receptions | 1 (1.56%) |
| 5 | Manager | 5 (3.91%) | 11 | Secretary | 2 (1.56%) |
| 6 | Health and Safety officer | 4 (3.13%) | 12 | Admin officer | 2 (1.56%) |
| Total 128 | |||||
Fig. 2The distribution of HIV workplace policy and programs in 128 workplaces surveyed including the private sector workplaces. The distributions shows the overall proportion of workplaces with a policy, the proportion of workplaces in the process of developing their policy, the overall proportion of workplaces with programs, the number workplaces with both programs and a policy and the overall proportion of the private sector workplaces, with a policy and with programs
The determinants of implementation of HIV/AIDS workplace policy on logistic regression analysing for both univariate and Multivariate are shown
| Univariate Analysis | Multivariate Analysis | |||||
|---|---|---|---|---|---|---|
| Predictors | Odds ratio | 95% Conf interval | Odds | 95% Confi interval | ||
| Organisation size | 2.79784 | 0.0001* | 1.740937 -4.496375 | 1.503014 | 0.430 | 0.5459534–4.13781 |
| Organisation Type | 0.941037 | 0.049* | 0.8865841–0.7161456 | 0.8749151 | 0.116 | 0.7405965 - 1.033595 |
| Top management | 0.3003007 | 0.003* | .1351151 - .6674348 | 0.2535835 | 0.013* | 0.0861585–0.7463523 |
| Funding mechanism | 0.15 | 0.014* | 0.0332161–0.6773832 | 0.6877451 | 0.589 | 0.176609–2.678195 |
| Specific HIV Budget | 0.3223221 | 0.008* | 0.1397287–0.7435237 | 0.2386781 | 0.027* | 0.0670701–0.8493683 |
| Human resources # | 1.5258808 | 0.240 | 0.7535381–3.089546 | 1.719384 | 0.142 | 0.8347339–3.541585 |
* indicates results that show statical significance (p-value < 0.05) on logistic regression analysis
Qualitative summary of themes and sub themes that were generated from the interviews with key implementers in the workplace on the reasons why workplaces had an HIV and AIDS policy/program or the reasons why a workplace did not have a program or policy
| Major theme | Sub-theme | Summary of findings on reasons for workplaces having policy/programs or not as reported by key implementers. |
|---|---|---|
| Size of workplace | Small workplace | Workplaces that were small in terms of numbers of employees, respondents reported that employees knew each other therefore they could talk freely about Health issues including HIV/AIDS there was therefore no need to have a formalised way of addressing HIV/AIDS in the workplace through programs or a policy. |
| Small workplaces also reported a limitation or lack of Finances to invest in HIV/AIDS programs and policies. A few had consulted some experts, but the cost of developing an HIV/AIDS policy was not affordable for them as small workplaces | ||
| Large workplace | HIV/AIDS was reported to be more visible among large workplace with a large number of employees. The increased burden of HIV/AIDS necessitated an organised response to HIV/AIDS in the workplace through programs and HIV policy adoption. | |
| Type of workplace | Highly Mobility | Workplaces with highly mobile employees, the agricultural, construction and hotel industries had HIV/AIDS programs/Policy for employees. |
| Core business | Workplaces such as schools, computer companies publishing and printing organisations felt that the nature of organisation did not necessitate having a policy in place. | |
| Religion | Religious predisposition of some organisations made it difficult in some cases to discuss HIV/AIDS as it is related to sex. This made it a taboo to talk publicly about HIV/AIDS and sex, therefore, they did not have an HIV/AIDS policy or program in place. | |
| Health Schemes Medical insurance | Some workplaces had no HIV/AIDS workplaces policy and programs in place but had a medical scheme in place for employees which catered for general illnesses a, HIV/AIDS-related illnesses and other chronic diseases. | |
| Wellness approach | Some workplaces had a holistic approach to general health and safety of employees in the workplace and had therefore put in place programs focused on a wellness approach rather than programs focusing on HIV/AIDS alone. | |
| Sensitisation | Lack of sensitization | Some workplaces did not have an HIV/AIDS policy because they did not know how to develop one and also lacked sensitisation on Multispectral response to HIV/AIDS. They admitted that having an HIV AIDS workplace policy has not been thought about. |
Fig. 3Illustrates the frequency distribution on a scaled response from key implementers on the extent to which workplace policy goals and objectives addressed 1. Gender and HIV, 2. Needs of employees living with HIV/AIDS (PLWH) and 3. HIV/AIDS in the 47 workplaces that had an HIV workplace Policies. A scale of responses from 1.all are addressed, 2. Most are addressed (a few missing), 3. Some are addressed (many missing) and 4. Not addressed at all
Fig. 4Shows the distribution of responses from key workplace implementers in 47 workplaces with a policy on the extent of participation of employees and management in the policy formulation process of their HIV and AIDS workplace Policy
Fig. 5A scaled breakdown of the extent of Policy dissemination at formulation stage as reported by key Policy implementers in 47 workplaces with an HIV/AIDS workplace policy
The table shows how workplace programs address and provide elements of HIV awareness, voluntary HIV counselling & testing, provision of male and female condoms and the provision of antiretroviral treatment to employees in 56 workplaces with programs. As reported by key workplace program implementers in 56 workplaces with HIV programs. Fisher’s exact test of measure of association between having a policy and proving the program elements is also shown
| Element of Program | Onsite | Gov clinic | Medical Insurance | Out Sourced | Not provided | Fishers exact |
|---|---|---|---|---|---|---|
| Awareness | 42 (75%) | 3 (5.36%) | 8 (14.29%) | 3 (5.36%) | 0 .00 | 0.807 |
| VCT | 20 (35%) | 12(21.42%) | 12(21.42%) | 9 (16.07%) | 3 (5.37%) | 0.614 |
| Female Condoms | 26 (46.42%) | 1 (1.78%) | 0.0 | 5 (8.92%) | 24 (42.85%) | 0.197 |
| Male Condoms | 38 (67.85%) | 12(21.4%) | 0.0 | 5(8.92%) | 12 (21.42%) | 1.000 |
| ARVS | 4(7.14%) | 14 (25.0%) | 24 (42.85%) | 9 (16.07%) | 5 (8.92%) | 0.271 |
Fig. 6Shows the extent to which some key selected HIV/AIDS epidemic drivers are addressed through workplace programs as reported by key policy/program implementers in 56 workplaces with programs and policy
Fig. 7Extent of participation in programs for I. Top management, II. Union Leaders, III. Employees IV. Female employees and V. Male employees in 56 workplaces with HIV/AIDS workplace programs as reported by key implementers of HIV/AIDS workplace programs
Fig. 8The extent of sufficiency of resources (both Quantity and Quality) allocated for HIV programs as reported by key implementers in 56 workplaces with programs: 1. Finances 2. Human Resources 3.Infrastructure Space 4. Equipment and supplies and 5.Information