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Comparison of survival in adult antiretroviral treatment naïve patients treated in primary health care centers versus those treated in hospitals: retrospective cohort study; Oromia region, Ethiopia

BMC Health Services ResearchBMC series – open, inclusive and trusted201616:581

https://doi.org/10.1186/s12913-016-1818-3

Received: 16 October 2015

Accepted: 5 October 2016

Published: 18 October 2016

Abstract

Background

Antiretroviral treatment (ART) service scaling up has been practiced in the Ethiopia since 2006. Regardless of increasing number of primary health care centers providing the service, the existing hospitals are still overcrowded with ART service seeking patients may be because of the common belief that treatment outcome is better for hospital patients than those treated at the primary health centers. However, documented evidence comparing the treatment outcome for the two categories of health facilities is scarce in the study setting. The purpose of the current study was to compare major treatment outcomes among new patients treated at the two health facility categories.

Method

Retrospective cohort study was implemented using secondary data from medical records collected between October 2010 and January 2014 in the selected health facilities. All patients (1895) who started the treatment in the facilities during the period were included in the study. Univariate analyses were made using descriptive methods such as frequency distributions and measures of central tendency. Bivariate and multivariate analyses were made using Kaplan Meier and Cox regression models respectively to compare the mean survival time between the two facility categories. P-value less than 0.05 was considered as statistically significant.

Results

A total of 1895 patient records were followed for 27,990 person-months. Risks of unwanted treatment outcomes (death and lose-to-follow-up) were the same for both categories of patients. The median survival probability was similar to the facility categories (P-value = 0.11). Baseline performance scale III/IV (AHR, 2.4; 95 % CI: 2.0, 3.0), baseline WHO clinical stages III/IV (AHR, 2.8; 95 % CI: 2.3, 3.4), and low adherence (<95 %) to ART drugs (AHR, 3.4; 95 % CI: 2.8, 5.2) were the independent predictors of the unwanted treatment outcomes.

Conclusion

Antiretroviral treatment service delivery at primary health care facilities did not compromise the treatment outcomes among adult ART naïve patients. This implies that, ART services decentralization can result in acceptable treatment outcome in less developed settings. Therefore, treatment requiring patients should be encouraged to start the treatment in either of the health facilities as early as possible.

Keywords

Antiretroviral therapy Survival Lost-to-follow up Oromia Ethiopia

Background

Human immunodeficiency virus (HIV) has continued to be an enormous challenge worldwide. Since its recognition, HIV has infected close to 70 million people, and more than 34 million have died due to acquired immunodeficiency syndrome (AIDS) [1]. Although there is slight decline in the burden of the disease, it is still causing challenges to the world [1, 2]. Globally, there were an estimated 36.9 million people living with HIV, 2.0 million new HIV infections and 1.2 million deaths due to the disease in 2014 [3]. In sub Saharan Africa alone, about 25.8 million people were living with HIV and the region accounted for 70 % of the new infections in the world in the year [4]. Antiretroviral treatment (ART) scale up is ongoing globally [3]; although 14.9 million (only 40 % of the patients in need of the treatment) were on ART of which 13.5 million were in low and middle income countries in 2014 [4]. Ethiopia is the second most populous in Africa [5] and one of the seriously affected countries in sub Saharan Africa [2, 6]. The estimated prevalence of HIV/AIDS in Ethiopia was 1.5 % with urban and rural estimation of 4.2 and 0.6 %, respectively in the year 2011 [4].

Indeed, the use of ART drugs (the drugs prescribed to HIV/AIDS patients based on defined criteria) dates back to about two and half decades in developed countries, while its use started in 2003 in Ethiopia [7]. In this country, free ART service was launched to be given in public hospitals in 2005 and in primary health care centers in 2006 as part of the service scaling-up [8, 9]. The criteria used to start patients on ART in Ethiopia include WHO clinical staging, TLC-count and CD4- count as used in combination or separately [6, 10].

Accordingly, in Ethiopia the number of patients ever started ART was 439,301, of which 317,443 were on the treatment since in 2013 [8]. The number of ART providing facilities is increasing, (reaching 318 in Oromia region and 913 nationally) of which about 80 % are in primary health care centers [8, 11].

Comparing the survival of patients treated as relatively established health facilities and those treated in newly incoming primary health care centers can inform both the practitioners and the program mangers as to what is happening as ART service scaling up to mid-level health workers. Nonetheless, evidence showing what was happening to the survival of the adult patients who were enrolled into the treatment in hospitals and health centers was scarce. Therefore, this study compared the survival of adult patients who were new to ART between a hospital and health centers.

Methods

Study design, setting and period

A retrospective cohort design was used to analyze data obtained from medical records of patients on ART in southern central Oromia regional state. In Ethiopia, the health service delivery system has three tiers. The first tier is known as the primary health care unit where non physician clinicians and other less trained health workers provide basic and primary health care services. This tier includes health service delivery facility known as health center. The other two tiers are general hospitals and specialized referral hospital where more qualified practitioner provides medical services to the patients.

The two study settings compared in the current study were primary health care centers (the exposure setting) and hospitals. In the primary health care centers middle and low level health workers such as nurses and health officers (graduates of Bachelor of Science degree in public health) are responsible for patient care. The centers are out of major towns and less equipped with health care facilities. They have newly received the responsibility to provide ART services as a result of the service decentralization. As a result of lesser expertise of the health care providers and lesser health care facility in the primary health care centers, patients treated at this set up were considered to be exposed group. In the second health care facility, the hospitals, medical doctors are responsible to provide ART services. Hospitals are located in urban settings and have better health care facilities as compared to the primary health care centers. We analyzed and compared the major ART services outcomes using medical records collected between October 01, 2010 and January 30, 2014.

Population

Source population for the current study was all new adult HIV/AIDS patients, who have ever started on highly active antiretroviral treatment (HAART) regimen in the study area and other similar areas. All public health facilities which have been providing ART service since October, 2010 in the study area were selected for the study. Adult ART naïve patients (15 years or older), treated in the selected health facilities were included in the study. Those patients recorded as transferred out to other health facilities to follow the treatment elsewhere for the whole duration since the transfer out were excluded from the study.

Analysis

A total of 1895 medical records (all that meet the inclusion criteria) obtained from the standardized ART registers, 1307 and 588 from hospital and health center respectively were analyzed. Using EPI Info computer software sample size calculation formulae, and considering 95 % confidence level, 80 % power, unexposed to exposed group ratio of two and relative risk of two, total sample size of 900 could be statistically sufficient. We increased the sample size to more than double to get more reliable result. Variables with missing data were separately analyzed and compared for the two categories of the health facilities. All data collectors and supervisors were trained on the tools for consistency and supported by close supervision during data collection. EPI-Info version 6 was used for data entry [12]. The entered data were cleaned through the phase by phase screening after exporting to the SPSS statistical computer software version 20 [13]. This was done, first by sorting variables with incomplete values. Values missed at entry were completed from the hard copy of the collected data. Then, we ran separate frequencies for each variable to further check and clean the data.

Descriptive statistical methods were used in univariate analysis to generate frequencies and measure of central tendencies. The hypothesis of no survival difference among ART naïve patients treated in both health facility categories was also tested. Bivariate and multivariate analyses were made using Kaplan Meier and Cox regression models respectively, to compare the survival rate among patients of the two categories. We fit Cox regression model including all variables reported in Table 3. Survival rate is explained by the mean survival time of patients before death or lost to follow up (LTFU). Chi-square test was also used to compare categorized outcomes. If a patient misses the treatment follow up appointment for over a month after the appointment date and death could not be ascertained, then the patient was categorized as LTFU. In this study, we fitted survival model considering two different scenarios. In the first scenario, we considered the event of death and LTFU together as event of interest; while in the second scenario, we considered only confirmed deaths as event of interest. P-value less than 0.05 was considered as statistically significant.
Table 1

Socio-demographic characteristics of study participants; October, 2010 to January, 2014

Variables

Frequency

Percentages (%)

Age (n = 1895)

 15–29

 30–39

 40–49

 > = 50

662

766

313

154

34.9

40.4

16.5

8.1

Sex (n = 1895)

 Male

 Female

834

1061

44.0

56.0

Marital status (n = 1895)

 Unmarried

 Married

 Divorced

 Separated

 Widowed

283

1043

140

169

260

14.9

55.0

7.4

8.9

13.7

Religion (n = 1895)

 Muslim

 Orthodox

 Protestant

 Catholic

 Other

545

984

307

21

38

28.8

51.9

16.2

1.1

2.0

Residence (n = 1895)

 Urban

 Rural

1376

519

72.6

27.4

Educational status (n = 1895)

 Illiterate

 Read and write

 Elementary school

 High school

 Diploma and above

545

90

724

474

62

28.8

4.7

38.2

25.0

3.3

Working situation (n = 1893)

 Employed by other

 Self-employee

 Jobless

 Student

 Other

246

701

910

14

22

13.0

37.0

48.1

0.7

1.2

Table 2

Comparison of mean survival of patients treated in Hospital versus that of Health center; October, 2010 to January, 2014

Facility

Mean survival (95 % CI)

X 2 (1)

P-Value

Health center

31.3 (30.0,32.6)

2.6

0.11

Hospital

30.3 (29.4,31.3)

  
Table 3

Association between baseline variables and hazards of failure (death/LTFU) among ART patients in studied health facilities; October, 2010 to January, 2014

Variables

Crude

bAdjusted

HR (95 % CI)

HR (95 % CI)

Baseline functional status

 Bed ridden/Sick ambulatory

2.5 (2.0,3.0)

2.4 (2.0,3.0)

 Working functional status

Reference category

Baseline WHO stage

 WHO stage III/IV

1.6 (1.3,2.1)

1.3 (1.0,1.6)

 WHO stage I/II

Reference category

Baseline CD4 count

 CD4 less than or equal 200cell/ml

1.1 (0.9,1.4)

1.0 (0.8,1.3)

 CD4 less than 200cells/ml

Reference category

Disease stage at ART start timea

 Advanced

3.3 (2.7,4.0)

2.8 (2.3,3.4)

 Not advanced

Reference category

CPT regular refilling

 No regular refilling

2.3 (1.0,5.2)

2.0 (0.9,4.5)

 Had regular refilling

Reference category

Adherence to ART

 Poor/Fair (<95 %)

3.6 (2.9,4.4)

3.4 (2.8,5.2)

 Good (> = 95 %)

Reference category

Facility category

 Health Center

0.8 (0.7–1.0)

0.9 (0.7–1.1)

 Hospital

Reference category

aAdvanced disease stage is for patients in the WHO stage III/IV with CD4 cell count less than 200 cells/ml

bAdjusted for socio-demographic variables and all variables in the table

Results

The medical records of 1895 ART naïve patients were analyzed. The ratio of hospital patients to that of health centers was about two to one. More than half of the patients, 1061 (56 %) were females and the median age was 24 years with an inter quartile range (IQR) of 15.8 to 31.80 years. Most of the patients, 1376 (70 %) were urban dwellers and over half of them, 1042 (55 %) were people within marital union. Only 531 (28 %) of the patients have attended high school level education or above. Half of the patients, 947 (50 %) were either self-employed or employed by others. That means, about 50 % of the study participants had certain monitory income from the work they were engaged in. House wives and other participants who were not involved in jobs with direct financial gains are considered jobless in this study (Table 1).

Data completeness rate was high (over 90 %) for all required variables in the study. From the total study participants, 1844 (97 %) had baseline body weight documented and the median weight was 50 kg with IQR 44 to 56 kg. Number of medical records with missing variables was compared for the two study settings to check for significant difference, and there was no difference in the missing data between the two categories of the health facilities. We compared the baseline data of the patients treated in the two facility categories such as CD4 count, body weight and WHO clinical stages. There was no difference in the baseline weight between hospital and health center patients (P-value = 0.35) and CD4 count (P-value = 0.31). The total of 1204 patients had advanced disease stage (WHO clinical state III/IV); of which 811 (67.4 %) were seen at hospital level.

The incidence rate of death in health center patients was 5.7 per 1000 person-months, while that of hospital patients was 6.3 per 1000 person-month of observation. The incidence rate of (LTFU) was 7.9 and 8.6 per 1000 person-months for health centers and hospital patients, respectively. Using two-by-two table with chi-square test statistics, we found that there was no statistically significant difference in incidence of both death and LTFU among patients treated at the hospital and health centers (P-values of 0.86 and 0.89) respectively. Among the health center patients with known performance scale, 511 (92.1 %) were improved from bed ridden or sick ambulatory to working performance scale; while 992 (76.1 %) of such hospital patients showed similar improvement. Immunological improvement (gain in CD4 cells count) was higher among health center patients than among hospital patients (P-value <0.001).

Considering the worst scenario (death or LTFU as an event of interest), the Kaplan Meier model was fitted to test for the difference between the mean survivals of patients treated in the two categories of the health facilities. The mean survival time was 31.3 months; (95 % CI: 30.0, 32.6) and 30.3 %; (95 % CI: 29.4, 31.1) months for health center and hospital patients respectively. The mean survival time was similar for patients of both health facility categories (P-value = 0.11) (Table 2).

The survival probability curve was fitted for two extreme scenarios, the worst where LTFU cases were categorized with death as an event of interest and the other scenarios where only death was considered as an event of interest separately (Figs. 1 and 2). In both cases, although the difference was not statistically significant as shown in Table 2 above, patients treated at health center had better survival probability at any time during the follow up period.
Fig. 1

Survival Probability curve comparing primary health care centre ART patients with those of hospital based on risk of failure (Death and LTFU), October, 2010 to January, 2014

Fig. 2

Survival probability curve comparing Health center and Hospital ART patients based on risk of death; October, 2010 to January, 2014

There was no statistically significant association between the type of health facility attended by patients and risk of death and LTFU (P-value = 0. 11). The risk of death or LTFU was more than two times higher among patients who were bed ridden or sick ambulatory at admission compared to those who had working functional status with adjusted hazard ratio ((AHR), 2.4; 95 % CI: 2.0, 3.0). The risk was over three times higher among patients with advanced disease stage at the start of the treatment as compared to those who had no advanced disease (AHR, 2.8; 95 % CI: 2.3, 3.4). Risk of the event of interest (death and LTFU) was higher among male patients (AHR, 1.4; 95 % CI: 1.1, 1.7). There was no statistically significant association between the type of health facility attended by patients and risk of death or LTFU (P-value = 0. 11). Any adjusted hazard ratio reported for a particular variable in Table 3 is adjusted for all other variables in the table.

Discussion

The current study showed the persistence of disproportionately high caseload to hospitals, with 1307 (69 %) were being treated at hospital. This high case load in hospital was similar to that of the 2009 Ethiopian national cohort analysis, which reported that 87.8 % of ART patients were receiving the treatment from hospitals [14]. The change of the hospital load from 87.8 to 69 % can be explained by the fact that ART service scaling up to health centers is ever increasing in the country [8, 15, 16]. Similar to the report of the national study done in Ethiopia [14], about two third of the patients (1428) were in the age range between 15 and 39 years. This higher proportion of the younger age may be due to higher disease burden in this age group [2, 4]. Moreover, the higher proportion of females patients 1061 (56 %) and urban residents 1376 (70 %) in the current study matches with an HIV prevalence trend in the country [4, 16, 17].

In the current study, the median baseline CD4 count was 130 Cells/ml and 140 Cells/ml for health centers and hospital patients, respectively. These counts were higher than the finding of other studies conducted in developing countries [18, 19]. This higher CD4 count at the initiation of the treatment could be attributed to the increasing access to the ART service which is facilitating for the early initiation of the treatment. We also confirmed that there was no difference between end-line mean counts of CD4 cells for the patients treated in either facility; and there was no difference in the treatment outcome for the facilities. The survival probability for patients of both facilities was similarly higher than 80 % at the fourth month of follow up.

In this study, we also found that being treated at the health center did not increase risk of death or LTFU to adult ART naïve patients. This finding was consistent with similar studies in Africa [18, 2022]. The current finding was also similar to the recent Ethiopian national study finding which showed relatively better survival rate of patients treated in the primary health care centers as compared to those of hospitals (82 and 72 %, respectively) [23].. This result was also in agreement with the findings of another study in South Africa and Cameroon which reported task shifting for HIV/AIDS care to relatively lower levels of the health system that did not compromise quality and rather associated with good ART outcomes [18, 20, 21, 24, 25].

Similarity, between the treatment outcomes in the two health facility categories could also be due strengthened mentoring of the service provision at both levels by trained health workers from outside the facilities. [26]. Strong predictors of death and LTFU were poor baseline functional status (being bed ridden or sick ambulatory), advanced disease stage and ART adherence less than 95 %. This findings were similar to study results from Brazil, and elsewhere [24, 27, 28] which showed that poor performance scale and WHO stage III/IV [6] as strong predictors of adult ART patients survival. Initiation and adherence to CPT was associated with event of interest and this result is in agreement with the result of the other study done in Ethiopia [19].

Limitation of the study was the fact that it was facility based where ascertaining the registered outcomes was impossible except relying on the ascertainments done by case managers working in respective health facilities. That means, registered outcomes such as death and LTFU were taken from health facility records without further ascertainment by the research team. But both categories of the health facilities have ascertainment mechanisms of the outcomes. The other limitation was the scope of the study which was confined to sub region, yet the results can be used in other parts of the region as there were similar ART service implementation strategies were followed in the whole region.

Conclusion

In conclusion, the antiretroviral treatment outcome among ART naïve adult patients was not significantly different among patients treated at the primary health care centers and from those treated at hospital. The most important predictors of death and LTFU were having poor base line performance scale, advanced disease stage at the start of the treatment and poor adherence to ART regimens. Therefore, concerted efforts should be made by concerned bodies to encourage the patients to start the treatment in either of the health facilities as early as possible.

Abbreviations

AHR: 

Adjusted hazard ratio

ART: 

Antiretroviral treatment

CI: 

Confidence interval

CPT: 

Cotrimoxazole prophylactic therapy

HAART: 

Highly active antiretroviral treatment

HR: 

Hazard ratio

LTFU: 

Lost to follow up

TLC: 

Total lymphocyte count

WHO: 

World Health Organization

Declarations

Acknowledgements

We thank Adama Hospital Medical College for funding the study and for the ethical approval. We are also grateful to other line departments and individuals who played important roles in availing necessary information without which this work wouldn’t have been completed. Last, but not least, we also appreciate the contributions of all supervisors, data collectors and study participants for their respective contribution without which the work would not have been realized.

Funding

Adama Hospital Medical College provided us financial support for the data collection and related cost. No other fund was obtained for the current.

Availability of data and materials

The datasets analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

AM planned and oversaw study design, data collection, conducted data analysis and drafted the manuscript. SG has critically revised and finalized the paper with invaluably important inputs. Finally, both authors have read and approved the final version of the manuscript.

Authors’ information

Abebe Megerso is Epidemiologist (MPH in Epidemiology) and currently working at Adama Hospital Medical College as public health lecturer. He also engaged in research activities with other college faculty members. Dr. Sileshi Garoma is a public health specialist (PhD in public health) and provost of Adama Hospital Medical College. He is also teaching in the college and other Universities in Ethiopia.

Competing interests

Authors did not have any competing interest.

Consent for publication

In the current study, as there are no identifiable details on individual participants reported in the manuscript, consent to publish is not required.

Ethics approval and consent to participate

Ethical clearance was obtained from the institutional ethical review committee of Adama Hospital Medical College and subsequent permissions were sought from line departments and respective health institutions. Data were extracted from ART registration log books by data clerks of respective health facilities to secure records confidentiality. Verbal informed consent was obtained from patients who visit the facilities during the data collection period. For patients with age less than 18 years, assent was obtained from parents of relatives who come to the facility of the patients. In the informed consent form important information such as purpose of the study, confidentiality of the information and participant’s right to decline were explained. Patients’ ART codes were used for data identification and no name were used in connection with the data to keep the all records anonymous.

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Authors’ Affiliations

(1)
Adama Hospital Medical College

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Copyright

© The Author(s). 2016