INTRODUCTION
The human immunodeficiency virus (HIV) remains a significant global public health burden. Worldwide, in 2017, 1.8 million people became newly infected, 35 million people continued living with HIV, and 940,000 people died from HIV-related causes, such as severe infections1. Besides, HIV patients are vulnerable to psychiatric conditions (e.g., depression)2 and may have nutritional disorders3,4. These comorbidities, along with social stigma, negatively impact the quality of life and cause disability and premature deaths, mostly among working-age HIV patients5.
The lancet global commission on high-quality health systems (HQSS) highlighted that Universal Health Coverage would not lead to better health outcomes if the population does not receive high-quality health services6. The complex outlook for HIV patients requires integrated, multidisciplinary, and evidence-based health care to reduce HIV transmission, achieve viral suppression, slow down or reverse disease progression, and improve quality of life. Multilateral organizations (e.g., The Joint United Nations Program on HIV/AIDS, and the Global Fund to fight AIDS, Tuberculosis, and Malaria) have proposed indicators to evaluate national HIV programs at the health systems-level. However, these indicators do not focus on processes for care continuum and do not reflect the multidisciplinary care that HIV patients require7. The HQSS commission and other studies identified that there is a lack of information regarding the quality of health-care processes and their impact on health outcomes, such as viral suppression, in most low- and middle-income countries, except for African countries6-9. Existing evidence supports the following factors associated with viral suppression among HIV-positive individuals on antiretroviral treatment (ART)10-13: older age; male sex; no history of injected drug use; low baseline viral load; and the type, adherence to, and longer duration of ART.
Mexico ranks fourth in Latin America regarding the number of people living with HIV and has increased its age-standardized rates of new infections between 2005 and 201514. By the end of 2017, HIV had been diagnosed in 195,194 patients; most were men (82%), particularly those who had sex with men, male sex workers, and drug users. Mexico City and the State of Mexico had the highest numbers of people with HIV in the country (14.4% and 10.3%, respectively)15. In Mexico, 65% of HIV-positive individuals are aware of their HIV status; 94% of those diagnosed have access to ART, and 84% are on viral suppression16. Public health-care institutions provide care to 99.2% of HIV patients17. Two out of three receive care at the Outpatient Centers for Prevention and Care of AIDS and Sexually Transmitted Infections (Spanish acronym CAPASITS), and Comprehensive Hospital Care Services (SAIH) under the Ministry of Health. The remainders of patients are affiliated to social security institutes. Both CAPASITS and SAIH provide outpatient health-care through multidisciplinary groups that include physicians, psychologists, nurses, sex educators, and social workers.
In Mexico, little is known about the quality of the processes of care (QPC) that HIV patients receive. The indicators of the National Center for the Prevention and Control of HIV and AIDS (CENSIDA), CAPACITS and SAIH, focus primarily on epidemiological surveillance and health-care outcomes, such as retention in ART, viral suppression, and deaths, but do not address QPC. There are no studies that evaluate the association between QPC and viral suppression. Therefore, the study objectives were to develop valid quality of care (QoC) indicators to measure multidisciplinary outpatient hospital care services for HIV-patients, to evaluate the QPC and clinical outcomes, and to analyze the association between the QPC and viral suppression among HIV patients on ART.
METHODS
We conducted a three-stage research study with a mixed-methods approach. For the first stage, we developed the process and outcome indicators to evaluate the QoC of HIV patients using the modified RAND/UCLA appropriateness method18, based on indicators selected through the review of scientific evidence and expert panel validation. A preliminary list of QoC indicators for expert vetting was identified through literature review that focused on those comprehensive, evidence-based care processes shown to increase the likelihood of achieving the best clinical outcomes of HIV patients. The review included eight clinical guidelines19-26 and seven sets of indicators previously proposed for HIV health-care evaluation7,9,27-31. The list of QoC indicators was divided into two groups: processes and clinical outcomes. A panel of eight HIV and health services experts (two health system researchers, two physicians specialized in infectious diseases, one psychologist, one nurse, one dietitian, and one social worker) validated the indicators. All members of the expert group had ≥ 10 years of experience providing HIV care and/or health services research. The experts rated the validity and feasibility of proposed indicators using the Shekelle criteria32. These criteria allowed each expert to assess the indicators on a 1-9 scale. Only those indicators with a median score ≥ 7 were considered valid and feasible to measure QoC33. The validation included three consensus group rounds (voting, feedback, and re-voting).
For the second stage, we conducted a cross-sectional study to evaluate the QoC at one SAIH of the Ministry of Health located in the State of Mexico. A multidisciplinary group of two physicians, a psychologist, a nurse, a sex educator, and a social worker provided HIV medical care in this facility. During 2017, this hospital offered health care to 440 HIV patients, providing 4538 medical consultations, 1384 psychological consultations, 1748 sexual counseling sessions, and 13 group sessions focused on ART adherence. One of the researchers (YLM) reviewed the clinical records of all HIV-positive patients ≥ 19 years of age who had at least one medical consultation at SAIH during 2017. The QoC was evaluated through processes and outcome indicators, validated in the first stage of the study (Supplementary Table 1).
Variables | n (%) |
---|---|
New HIV patients with the first consultation at SAI in 2017 | 50 (11.4) |
Year of the first HIV-positive serology | |
≤ 2000 | 28 (6.4) |
2001-2010 | 191 (43.5) |
2011-2016 | 183 (41.7) |
2017 | 37 (8.4) |
Pre-ART viral load (copies/mL) | |
< 10,000 | 73 (16.6) |
10,000-99,999 | 136 (31.0) |
100,000-500,000 | 140 (31.9) |
> 500,000 | 81 (18.5) |
Missing values | 9 (2.1) |
Duration of antiretroviral therapy, months | |
Mean (SD) | 85.9 (66.2) |
Median (minimum-maximum) | 74 (0-289) |
Coinfections† | 75 (17.1) |
Syphilis | 35 (8.0) |
Tuberculosis | 32 (7.3) |
Hepatitis C | 9 (2.1) |
Hepatitis B | 6 (1.4) |
Nutritional status | |
At the first 2017 consultation | |
Malnutrition | 26 (5.9) |
Normal | 235 (53.6) |
Overweight/obesity | 177 (40.3) |
Not registered | 1 (0.2) |
At the last 2017 consultation | |
Malnutrition | 28 (6.4) |
Normal | 214 (48.8) |
Overweight/obesity | 196 (44.6) |
Not registered | 1 (0.2) |
Psychological status | |
Registered diagnosis of depression, or probable depression, or presence of ≥ 2 depression-related symptoms during 2017 | 92 (21.0) |
Number of consultations in 2017 | |
Mean (SD) | 8.9 (3.2) |
Median (minimum-maximum) | 10 (1-12) |
Status at the end of 2017 | |
Continue follow-up in the hospital | 366 (83.4) |
Death | 2 (0.5) |
Drop-out (loss to follow-up) | 3 (0.7) |
Change of address and hospital | 3 (0.7) |
Change in health insurance | 62 (14.1) |
Not registered | 3 (0.7) |
†7 patients have more than one coinfection. ART: antiretroviral treatment; HIV: human immunodeficiency virus; SD: standard deviation.
To describe the study population, we collected information on the following covariates: (1) patients general characteristics: sex, age, schooling, and occupation; (2) history of sexual activity and use of illegal injected drugs: type of sexual orientation, age at first intercourse, number of sexual partners throughout life, serological status of the last sexual partner, condom use in the last month, condom use in the last intercourse, and use of illegal injected drugs; and (3) medical history: HIV patients with first consultation at SAIH in 2017, year of the first HIV-positive serology, pre-ART viral load, duration of antiretroviral therapy, coinfections, nutritional status at the first and last medical consultations measured through the body mass index (BMI) (malnutrition: < 18.5 kg/m2, normal weight: 18.6-24.9 kg/m2, overweight/obesity: > 25 kg/m2), number of consultations in 2017, patients with suspected depression or presence of two or more depression-related symptoms, and patient status at the end of 2017.
The third stage of the study investigated the association between QPC and viral suppression (< 50 copies/mL). We created a processs summary binary indicator. First, we calculated the percentage of recommended QPC using McGlynn et al. approach33. The numerator was the sum of all the recommended QPC indicators that the HIV patient received, and the denominator was the total number of indicators for which he/she was eligible. Then, since we identified that the percentage of recommended QPC did not show a normal distribution, we dichotomized QPC as follows: HIV-patients receiving 75% or higher of recommended QPC and those receiving < 75%. The cutoff value was based on the 80th percentile of QPC.
The National Institute of Public Health Research and Ethics Committees approved the study protocol (Register PT CI: 427, folio identifier O65).
Statistical analysis
The units of observation to measure QoC and the units of analysis were HIV-patients. We used descriptive statistics to analyze the characteristics of HIV-patients and the health care they received. To fulfill the third objective, we performed a multiple Poisson regression model with robust variance as recommended for cross-sectional studies with high-prevalence binary outcomes34. The multiple Poisson regression model included the dependent variable (viral suppression), the independent variable (QPC ≥ 75%), and all conceptually relevant covariates identified through literature review and reported in the introduction section. Stata 14.0 (Stata Corp, College Station, Texas, United States) served for the analysis; p < 0.05 was considered statistically significant.
RESULTS
Stage1: Development of processes and outcomes indicators of QoC
After literature review, 24 QoC indicators were proposed and sent to the experts for validation. The panel discarded six indicators, suggested three new indicators, modified four indicators, and finally agreed on 21 indicators. The primary reason for dropping indicators was that some activities (oral cavity examination, patient information on ART goals, social programs, support groups, and sexual-reproductive counseling) did not require registration in the patients health records. The main reason for modifications was the local unavailability of some tests (e.g., Mantoux test for tuberculosis screening, among others). A final list of approved indicators included 18 QPC indicators and three outcome indicators. The QPC were organized in two domains: (i) clinical history, laboratory tests and treatment of HIV and coinfections (13 indicators); and (ii) care integration that included health care for nutritional and psychological issues and follow-up by a social worker (five indicators) (Supplementary Table 1).
Stage 2: QoC evaluation
Supplementary table 2 describes the general characteristics and history of sexual relationships of 439 HIV-patients, who attended SAIH in 2017. Most were men (78.6%), between 30 and 49 years of age (61%), with completed secondary school or high school education (28.9% and 27.3%, respectively); unskilled workers (44.4%), and unemployed (22.6%). Overall, 43.5% reported having a heterosexual orientation. On average, HIV patients had their first intercourse at 17.2 years of age. Furthermore, 28.5% reported having more than 10 sexual partners throughout life. Only 35.3% knew the serological status of their last sexual partner, among whom 28.5% were HIV-positive; however, only 3% reported always using a condom in the last month, including the last intercourse; 0.9% had a history of illegal injected drug use.
Variable | Crude PR [95% CI], p | Adjusted PR [95% CI], p |
---|---|---|
Recommended QPC ≥ 75% | 1.16 [1.05-1.28], 0.003 | 1.13 [1.03-1.24], 0.012 |
Covariates | ||
Gender | 0.94 [0.84-1.06], 0.354 | 0.89 [0.77-1.02], 0.095 |
Male | Ref. | Ref. |
Female | ||
Age | ||
≤ 29 years | 1.13 [0.94-1.36], 0.188 | 1.18 [0.96-1.45], 0.116 |
30-49 years | 1.16 [0.99-1.35], 0.064 | 1.17 [1.002-1.36], 0.046 |
≥ 50 years | Ref. | Ref. |
Schooling | ||
Completed elementary school or less | 1.15 [0.94-1.41], 0.171 | 1.21 [0.97-1.51], 0.083 |
Completed secondary school | 1.15 [0.94-1.41], 0.163 | 1.18 [0.95-1.47], 0.123 |
Completed high school, or technical career | 1.14 [0.93-1.40], 0.204 | 1.18 [0.95-1.46], 0.135 |
Completed bachelors degree or higher | Ref. | Ref. |
Occupation | ||
Housekeeper | Ref. | Ref. |
Unskilled worker | 0.96 [0.82-1.13], 0.653 | 1.07 [0.89-1.28], 0.450 |
Semiskilled work | 0.96 [0.75-1.23]. 0.762 | 1.05 [0.81-1.38], 0.694 |
Qualified work (professional) | 0.82 [0.60-1.10], 0.186 | 1.01 [0.72-1.40], 0.967 |
Unemployed | 1.03 [0.87-1.23], 0.703 | 1.14 [0.93-1.39], 0.193 |
Student | 1.10 [0.90-1.34], 0.352 | 1.25 [0.95-1.65], 0.102 |
Sexual orientation | ||
Homosexual | 0.95 [0.82-1.10], 0.511 | 1.01 [0.87-1.16], 0.941 |
Bisexual | Ref. | Ref. |
Heterosexual | 1.007 [0.88-1.16], 0.919 | 1.04 [0.90-1.20], 0.597 |
Coinfections | ||
Yes | 0.92 [0.79-1.07], 0.284 | 1.001 [0.87-1.15], 0.989 |
No | Ref. | Ref. |
Pre-ART viral load (copies/mL) | ||
< 10,000 | 1.29 [1.06-1.57], 0.012 | 1.31 [1.09-1.57], 0.003 |
10,000-99,999 | 1.29 [1.07-1.55], 0.007 | 1.32 [1.12-1.56], 0.001 |
100,000-500,000 | 1.18 [0.97-1.42], 0.096 | 1.1|8 [0.99-1.41], 0.068 |
> 500,000 | Ref. | Ref. |
Duration of antiretroviral therapy, months | 1.001 [1.0008-1.0002], < 0.0001 | 1.001 [1.0006-1.002], 0.001 |
Number of consultations in 2017 | 1.05 [1.03-1.08], < 0.0001 | 1.05 [1.03-1.07], < 0.0001 |
ART: antiretroviral treatment; QPC: quality of the processes of care; PR: prevalence ratio; CI: confidence interval; HIV: human immunodeficiency virus.
Table 1 presents the medical history of HIV-patients; 11.4% attended their first SAIH consultation in 2017. Most had their first HIV-positive serology between 2001-2010 (43.5%) and 2011-2016 (41.7%); 50.4% had an initial viral load ≥ 100,000 copies/mL. The mean duration of the ART was 85.9 months. In addition to HIV, 17.1% had coinfections, including syphilis (8%), tuberculosis (7.3%), hepatitis C (2.1%), and hepatitis B (1.4%). Normal nutritional status was found in 53.6%, 5.9% were malnourished, and the rest had overweight or obesity at the first consultation of 2017; depression was suspected in 21%. The patients attended 8.9 consultations on average. The status reported at the end of 2017 was: continues follow-up in the hospital (83.4%), death (0.5%), dropped out (0.7%), changed address/hospital (0.7%), changed health insurance (14.1%), and without information (0.7%).
Supplementary table 3 shows results of the QoC evaluation. Only 24% of the new HIV patients had the minimum-required information on sexual history at the initial medical consultation, while all had at least one absolute and percentage counts of CD4 lymphocytes, and viral loads. Regarding the subsequent patients, 78.9% had absolute and percentage counts of CD4 lymphocytes and viral loads as recommended by the clinical guidelines. Furthermore, a viral resistance test was performed in 78.6% of patients who had two consecutive viral loads > 1000 copies/mL during follow-up. In addition, 91.8% had liver function tests, creatinine and lipid profile completed at least once during 2017. Serological tests for hepatitis B and C were performed in 56.6% patients who had ≥ 1 risk factor at the initial visit; 80.6% had venereal disease research laboratory test for syphilis detection. A chest radiograph was done in 41.7% of patients with ≥ 1 risk factor for tuberculosis. Regarding HIV treatment, 79.5% of new HIV patients had ART initiation once the diagnosis was confirmed; 50% of patients with virological failure had a change of the ART scheme. Adherence was not registered in each medical visit. Moreover, 89% of patients with more than 6 months of ART and with < 200 CD4 cells/mm3 and < 14% CD4 initiated prophylaxis of opportunistic infections with trimethoprim-sulfamethoxazole.
Only 1.2% of patients with malnutrition or obesity were referred to the nutrition service. About 50% of new HIV-patients were screened for depression; however, 96.7% of those with the diagnosis of probable depression were referred to the psychology/psychiatry service. Of the sexually active patients, 48.1% received a supply/donation of condoms at each appointment. A social worker followed up on 28.7% of patients who missed two consecutive monthly appointments. The mean number of QPC indicators for which each patient was eligible was 8.7, ranging between 6 and 14 indicators. The mean percentage of recommended QPC was 63.0%, ranging from 0 to 90. Only 30.5% of patients received 75% or more of recommended QPC. Regarding health outcomes, 81% of patients were alive and on treatment at 12 and 24 months after ART initiation; 77.7% with ≥ 6 months on ART presented viral suppression for at least 6 months.
Stage 3: Association between QPC and viral suppression
Table 2 describes the results of the Poisson regression analysis. The analysis was performed in 409 patients out of 417 with ≥ 6 months of ART. Eight patients had one or more missing data on the study variables; therefore, they were excluded from the analysis. Both Prevalence ratios (PRs), crude and adjusted by the conceptually relevant covariates, revealed that having ≥ 75% of recommended QPC increases the probability of viral suppression (adjusted PR: 1.13; 95% confidence interval [CI]: 1.03-1.24). Other covariates that increased the probability of viral suppression were: age 30-49 years (adjusted PR: 1.17; 95% CI: 1.002-1.36), pre-ART viral load <10,000 copies/mL (adjusted PR:1.31; 95% CI: 1.09-1.57), and pre-ART viral load 10,000-99,999 copies/mL (adjusted PR: 1.32; 95% CI: 1.12-1.56), higher duration of ART (adjusted PR: 1.001; 95% CI: 1.0006-1.002), and a higher number of medical consultations (adjusted PR: 1.05; 95% CI: 1.03-1.07).
DISCUSSION
The study validated 21 indicators useful for QoC evaluation of the multidisciplinary outpatient hospital care services for HIV patients. The utilization of these indicators in one public hospital allowed identifying gaps in the QoC, showing that on average, HIV patients received merely 63% of the recommended QPC, and only 77.7% achieved viral suppression. Furthermore, receiving over 75% of recommended QPC was associated with a higher probability of viral suppression. The QoC evaluation is essential for accountability and improvement actions at the health facility and health system levels10. QoC indicators at the health facilities require local relevance and feasibility to provide more detailed information on QPC and guide on-site quality improvement efforts. The pilot use of the validated QoC indicators allowed identifying quality gaps in health care for HIV patients. The most significant gaps were: (1) insufficient record of sexual history at the initial medical consultation; (2) absence of verification and registration of adherence to prescribed ART during the medical visit; (3) lack of follow-up and rescheduling of appointments for patients who missed two consecutive appointments; (4) deficiency of referral of patients with abnormal BMI to a nutrition specialist; (5) low frequency of screening for depression in new HIV patients; and (6) deficiency in the early detection of tuberculosis in patients with risk factors.
Insufficient records of the sexual history of HIV-patients (sexual orientation, partners, practices, and protection) represent a missed opportunity for counseling on the prevention of contracting other sexually transmitted diseases, further HIV transmission to sexual partners, partner notification, and ART treatment of HIV-positive sexual partners35. In our study, only 24% of new HIV patients had the minimum-required information on their sexual history.
To sustain viral suppression, 95% of adherence to ART is required36. Non-adherence is related to the development of ART resistance, progression to AIDS, and death37,38. However, adherence to ART varies among countries, from 55% in North America (Canada and US) to 77% in sub-Saharan Africa39, and up to 70% in Latin America and the Caribbean40. Regular assessment of patient adherence to ART is an important health-care process aimed at timely detection and counseling of patients with non-adherence. Our study identified that physicians did not record information on ART adherence; furthermore, only 28% of patients who missed two consecutive monthly appointments received follow-up and rescheduled the appointment.
HIV-patients can be malnourished, overweight, or obese. Malnourishment may be due to reduced appetite, diarrhea, and poor absorption of nutrients caused either by infection or as a side effect of medications41. Furthermore, those patients who are on ART and have reached viral suppression can be obese due to the adverse effects of some ARTs, an unhealthy diet, and physical inactivity increasing their risk for chronic non-communicable diseases42. We found that 6% of patients were malnourished and 44% were overweight, although only 1.2% were referred to the nutrition specialist. Nutritional assessment and counseling improve health-related outcomes in HIV patients43; thus, referral of patients with under or overweight to the nutrition specialist should be mandatory to achieve better health outcomes.
Compared to the general population, more HIV patients are depressed. Up to 30% of HIV-patients suffer from depression44-46, which is associated with risky behavior and lower adherence to ART47. Early detection and treatment of depression are essential components of the health care of HIV patients. In our study, only 50% of new HIV patients underwent screening for depression. However, 96.7% of patients in whom depression was suspected were referred to psychiatric services; this result shows the general awareness of health professionals about the need for specialized treatment of psychological problems.
Due to the impaired function of the immune system, HIV patients are 20 times more likely to fall ill with tuberculosis than non-HIV-patients48. As tuberculosis is a frequent (32%) cause of death among HIV-patients48, multiple evidence-based clinical guidelines recommend timely detection and treatment of this condition in HIV patients. However, in our study, only 41.7% of patients without a previous diagnosis and with one or more risk factors for this disease had a chest radiograph.
The QPC gaps identified in this study highlight the importance of implementation of QoC improvement activities. The Lancet Global HQSS Commission emphasizes that improving quality requires action at both facility and health system levels. At the system level, improvement actions should focus on QoC foundations, such as governance, workforce, platforms, tools, and population that allow strengthening of QPC at facility levels6. Mainly, electronic health records with standardized formats that include questions on sexual history can be essential tools to promote sexual history registration through automatic alerts/reminders and compulsory registries49. Furthermore, the adoption of competency-based pre-clinical and continuous in-practice training of health professionals and the active implementation of clinical guidelines in daily practice are fundamental to providing high-quality health care6. These actions at the health system level should be reinforced at the local level through improvement activities focused on the specific gaps identified at the facility.
Our study found that only 77.7% of HIV patients with ART had achieved viral suppression. This figure is lower than 90% proposed as one of three global targets for HIV treatment to help end the AIDS epidemic. Improvement of QPC for HIV patients may increase the probability of viral suppression, given that our statistical analysis revealed that having ≥ 75% of recommended QPC was associated with a 1.13 higher likelihood of viral suppression after adjusting for other relevant covariates. To the best of our knowledge, this is the first study that identified this association, as previous studies focused primarily on patient sociodemographic (sex, age, and education) and clinical (baseline viral load, and type, adherence to and duration of ART) characteristics.
This study faced several limitations. First, our measurement of QoC relied on the review of health record data and therefore, could overestimate or underestimate the QoC, as it is possible that some processes of care may have been performed during the consultations without being registered or vice versa. However, the experience of other studies that analyzed health records in Mexico suggests that, in general, they accurately reflect the actions taken during consultations50. Furthermore, to avoid the potential bias during the development of QPC, we used the rigorous RAND/UCLA Appropriateness Method that combines scientific evidence and expert consensus; moreover, we secured the multidisciplinary character of the expert group and their extensive clinical and research experience. Second, the study was conducted in one public hospital, which means that the results may not be representative of all hospitals that provide care to HIV patients in Mexico. Nevertheless, the indicators developed in this study can be used to evaluate and to compare the QoC of HIV patients in other health settings in Mexico with characteristics similar to the studied hospital (e.g., HIV out-patient services at the public hospitals), or can be adopted and adapted in other countries through the expert evaluation of their applicability to the country and facility-specific context. Third, the study evaluates only technical QPC and health outcomes, without addressing the patient experience, an important sub-domain of the processes of care. Finally, this is a cross-sectional study; therefore, it does not allow for inferences about causal relationships between the QPC and viral suppression. We conclude that the development of valid QoC indicators to measure multidisciplinary outpatient care services for HIV patients in Mexico is an important step to identify and address gaps in quality to boost better health outcomes.