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Task shifting of triage to peer expert informal care providers at a tertiary referral HIV clinic in Malawi: a cross-sectional operational evaluation

  • Megan Landes†1, 2, 3,
  • Courtney Thompson†4, 5,
  • Edson Mwinjiwa1, 6,
  • Edith Thaulo6,
  • Chrissie Gondwe1, 6,
  • Harriet Akello1, 6 and
  • Adrienne K. Chan1, 4, 7, 8Email author
†Contributed equally
BMC Health Services ResearchBMC series – open, inclusive and trusted201717:341

https://doi.org/10.1186/s12913-017-2291-3

©  The Author(s). 2017

Received: 21 July 2015

Accepted: 4 May 2017

Published: 9 May 2017

Open Peer Review reports

Abstract

Background

HIV treatment models in Africa are labour intensive and require a high number of skilled staff. In this context, task-shifting is considered a feasible alternative for ART service delivery. In 2006, a lay health cadre of expert patients (EPs) at a tertiary referral HIV clinic in Zomba, Malawi was capacitated. There are few evaluations of EP program efficacy in this setting. Triage is the process of prioritizing patients in terms of the severity of their condition and ensures that no harmful delays occur to treatment and care. This study evaluates the safety of task-shifting triage, in an ambulatory low resource setting, to EPs.

Methods

As a quality improvement exercise in April 2010, formal triage training was conducted by adapting the World Health Organization Emergency Triage Assessment and Treatment Triage Module Guidelines. A cross sectional observation study was conducted 2 years after the intervention. Triage assessments performed by EPs were repeated by a clinical officer (gold standard) to assess sensitivities, specificities, positive and negative predictive values for EP triage scores. Proportions were calculated for categories of disposition by stratifying by EP and clinician triage scores.

Results

A total of 467 patients were triaged by 7 EPs and re-triaged by clinical officers. With combined triage scores for emergency and priority patients we report a sensitivity of 85% and specificity of 74% for the EP scoring, with a low positive predictive value (41%) and a high negative predictive value (96%). We calculate a serious miss rate of EP scoring (i.e. missed priority or emergency patients) as 2.2%. Admission rates to hospital were highest among those patients triaged as emergency cases either by the EP’s (21%) or the clinicians (83%). Fewer patients triaged as priority by either EPs (5%) or clinicians (15%) were admitted to hospital, however these patients had the highest prevalence of same day lab testing and/or specialty referral.

Conclusions

Our study provides reassurance that in the context of adequate training and ongoing supervision, task-shifting triage to lay health care workers does not necessarily lead to less accurate triaging. EPs have a tendency to be more conservative in over-triaging patients.

Keywords

Task-shifting Expert patients Lay health workers HIV Malawi Triage

Background

In the wake of an intensifying Human Immunodeficiency Virus (HIV) pandemic over the past 20 years, low-income countries (LICs) with high HIV prevalence and concomitant frontline health worker shortages have faced critical human resources for health (HRH) crises. Some LICs have piloted and scaled approaches to address this growing crisis by involving the transfer of expert knowledge on HIV-testing, treatment initiation and treatment support from nurses and clinicians to non-clinical, lay, and peer caregivers [1, 2]. An example of this is in the development of the “expert patient” (EP), a term used to refer to people living with long-term health conditions who are provided with additional training to perform various healthcare tasks such as administration or patient counseling and education [3]. In part an endorsement of the 1994 Declaration of Greater Involvement of People Living with HIV/AIDS (PLHIV) [3], as well as a reflection of increasing trends towards patient self-management in high-resource settings [4], EP programs are being implemented as an efficient way to ensure that the ‘care continuum’ for PLHIV is being addressed.

Expert patients that are PLHIV have been increasingly involved in filling various roles within antiretroviral therapy (ART) clinics and services, such as HIV counseling and testing [5], assisting with ART registration, tracing patients lost to follow-up [6], facilitating support groups, adherence counseling and support, and collecting and collating statistics [7]. The current literature encompasses various aspects of assessing these programs including efficiency, cost-savings, and safety of a range of tasks [8–10], However, the meaning and utility of patient ‘expertise’ in this setting differs markedly from the biosocial underpinnings of the traditional EP model that envisioned the creation of instrumental therapeutic ties based on shared lived experience and successful self-management of a specific condition [3]. Unlike their counterparts in middle- and high income countries, EPs that are PLHIV and acting within a context of extreme economic scarcity, are often valued the most by the health system for their task-shifted roles in mitigating chronic and critical HRH shortages.

While there is descriptive literature [11, 12], capturing the spectrum of EP programs adopted by various non-governmental organization (NGO) and public sector programs in high HIV prevalence, low resource settings, as well as qualitative studies capturing the EP experience from a patient, health care worker and EP perspective [13–15], there are very few evaluations of EP program efficacy in this setting [16–20].

One task that is often delegated informally to EPs working in facility-based settings is triage. Triage is the process of sorting patients in terms of their priority based on the severity of their condition and ensures that no harmful delays occur to potential lifesaving treatments. Most ART clinics in high HIV prevalence, low resource settings work on a first come, first serve basis, however they often see patients with acute illness, making a functioning triage system a critical component of quality in service delivery. We sought to evaluate the capacitation of EPs to conduct task-shifted patient triage as a quality improvement initiative of an existing EP program at an ambulatory and tertiary referral HIV clinic in Malawi.

Methods

Study setting and description of the intervention

Zomba District (population 670,533) is situated in the southeastern region of Malawi [21], and has one of the highest estimated adult HIV prevalence rates in the country (14.5%) [22]. Roll out of ART in Zomba District began in 2004 by the Malawi Ministry of Health (MOH) and with the support of Dignitas International, a Canadian NGO, “Tisungane Clinic” at Zomba Central Hospital was established as a tertiary referral HIV [7]. At the time of this study, over 14,500 patients had been enrolled on ART, and HIV services had been decentralized to 24 primary health centers to facilitate patient access to treatment and also decongest the referral clinic [23].

During the period of evaluation, Tisungane Clinic assessed 100–150 HIV+ adults and children daily. Patients registered for both the pre-ART and ART programs attended clinic for initiation of treatment, routine follow-up and with acute intercurrent illness. The EP program at Tisungane Clinic was started in 2007 and has been previously described by Tenthani et al. [24] EPs at the time of study, had been already trained in the Malawi Ministry of Health standardized curricula on ART initiation and refresher counselling, as well as adherence counselling. EPs had also been trained and capacitated through supportive supervision and on-the-job mentorship by clinicians, nurses and registration clerks to manage patient flow in the clinic and were task-shifted light clinical tasks including taking and recording vital signs and anthropometry. The majority of patients arrived for clinic were organized by EPs in the order of their arrival to see the nurses for drug dispensation and initial assessments and then referred onwards to clinicians for complicated visits and ART initiations. Due to the patient volume, wait times could often be for several hours, even to see the nurse for an initial symptom assessment and triage. As this was an outpatient ambulatory clinic, wait times are not formally assessed. An informal triage system had developed over time by the EPs to flag patients presenting with acute illness and bypass others who were less ill, to be seen by the clinicians directly. This informal system helped to facilitate early admission and also the opportunity for rapid referral for laboratory testing, radiography and specialist assessment.

As a quality improvement exercise in April 2010, formal triage training was conducted by adapting the World Health Organization (WHO) Emergency Triage Assessment and Treatment (ETAT) Triage Module Guidelines [25], and translating tools into English and Chichewa (the local language; see Additional file 1). Seven expert patients completed triage training consisting of a full-day workshop, a review session and on-the- job mentorship by the 2 physician trainers over two weeks. EPs were trained on how to categorize both adult and pediatric patients as emergency (i.e. life-threatening signs or symptoms needing immediate assessment by a clinician) and priority (i.e. non-life-threatening but still requiring urgent prioritization) cases. As patients arrived in clinic and began to queue, EPs were instructed to assess each patient and give a red card to all emergency cases and take them immediately to be assessed by a clinician, or give a yellow card to all priority patients and place them in the front of the line to see the next available clinician. All routine patients (everyone other than emergency and priority patients) were given a green card and placed in the nursing line in order of arrival for assessment. A separate orientation session was held with the nursing staff and the clinician officers in order to explain the triage criteria and implementation so that they could provide ongoing supervision.

Study design

A cross-sectional operational evaluation of the EP triage system was conducted during a two-week period in March 2012. All patients presenting for either a scheduled clinician visit or an unscheduled visit for an acute intercurrent health problem were included. As per standard clinic procedures, all patients were triaged first by the expert patients who completed a standardized data collection form and then prioritized for clinician assessment based on EP triage scores. On assessment, clinicians repeated the triage process filling in a similar standardized data collection form and were additionally asked to record disposition data (i.e. discharged home, sent for same-day laboratory testing or specialist referral, or admitted to hospital). Data on demographic characteristics of expert patients was collected by standard interview scripts.

Data management and analysis

All data were entered into an electronic database, from which standard descriptive statistics were calculated. Sensitivities, specificities, positive and negative predictive values were calculated for EP triage scores using clinician scores as the gold standard. Proportions were calculated for categories of disposition by stratifying by EP and clinician triage scores.

Results

Characteristics of expert patients

Seven EPs (5 female, 2 male) were included with a mean age of 35 years (min. 27, max. 45). All had been on ART for 5 or more years (maximum 9 years) and had been working at the clinic between 4 and 5.5 years. All EP’s had completed primary school, five had completed their Junior Certificate Examination (a national standardized test conducted after two years of secondary education) and all could read and write in Chichewa, but only two in English. All seven EP’s had completed the triage training and participated in triaging patients in the clinic during the data collection.

Patient triage outcomes

A total of 467 patients presented for a clinic visit for either a scheduled or an unscheduled new health problem during the study period. Data on clinician triage scores were missing on 14 patients first triaged by the expert patients and were thus excluded from the analysis. None of these excluded patients were triaged as emergency by the EPs and only 5 were triaged as priority.

Table 1 shows the triage scores from both EPs and the clinicians (n = 453), and Table 2 describes the sensitivity, specificity, positive and negative predictive values for the EPs’ scores. Fourteen patients were triaged as emergency cases by the EPs; 2 were confirmed by the clinicians as emergency and 5 as priority, giving an 85% sensitivity for EPs in identifying potentially acutely ill patients i.e. combined emergency or priority patients.
Table 1

Expert patient and clinician scores per patient (N = 453)

 

Clinician score

 

Expert patient score

Emergency

Priority

Routine

Total

Emergency

2

5

7

14

Priority

3

59

91

153

Routine

0

8

266

274

No data available

1

3

8

12

Total

6

75

372

453

Table 2

Comparison of triage scores of expert patients and clinicians

 

Triage score by expert patient

Triage score by clinician

Sensitivity (%)

Specificity (%)

Positive predictive value (%)

Negative predictive value (%)

Emergency

14

6

33.3

97.3

14.3

99.1

Priority

153

75

78.7

75.5

38.6

94.8

Emergency and priority combined

167

81

85.2

73.7

41.3

95.8

Additionally, for EP emergency scores we report a low positive predictive value (14.3%) but a high negative predictive value (99.1%) indicating the EP’s tendency to err on the side of caution and “over-triage” patients. Four false negative scores by the EPs were identified among emergency cases (i.e. not triaged as emergency by the EPs, but confirmed as emergency by the clinicians), three of whom had been triaged as priority by the EP and one for whom data on EP triage score was missing.

One-hundred fifty three patients were triaged as priority by the EPs, of which 59 were confirmed priority by the clinicians and giving a 78.7% sensitivity for EP scoring of priority cases. There were 91 (59.4%) false positive priority scores i.e. triaged as priority by the EPs, but triaged as routine by the clinicians.

Among the 274 patients triaged as routine by the EPs, 12 false negative scores were identified (i.e. not triaged as priority by EPs but then identified as such by clinicians); 5 were triaged at a higher level as emergency by EPs and 8 were under-triaged as routine. For EP priority scores, we report a similar trend as with the triaging of emergency patients of a low positive predictive value (PPV; 38.6%) and a high negative predictive value (NPV; 94.8%), indicating a trend towards over-triaging patients by the EPs.

Overall when looking at the EP’s combined triage scores for emergency and priority patients (i.e. all patients requiring prioritization at the clinic) we report a sensitivity of 85.2% and specificity of 73.7% for the EP scoring, with a low PPV (41.3%) and a high NPV (95.8%). We calculate a serious miss rate of EP scoring (i.e. missed priority or emergency patients) as 2.4%, as we identified 8 routine scores by EPs that should have been priority and 3 priority scores by EPs that should have been emergency (11/453).

Disposition outcomes

Disposition data stratified by EP and clinician triage score is presented in Table 3.
Table 3

Disposition of patients by expert patient or clinician triage scores

Triage score

Disposition

Expert patient

Clinicians

N = 441a

N = 453

N (%)

N (%)

Emergency

Admitted to hospital

3 (21.4)

5 (83.3)

Same-day laboratory testing

1 (7.1)

1 (16.7)

Same-day specialist referral

0 (0)

0 (0)

Discharged

6 (42.9)

0 (0)

No data on disposition

4 (28.6)

0 (0)

Priority

Admitted to hospital

7 (4.6)

11 (14.9)

Same-day laboratory testing

23 (15.0)

21 (28.4)

Same-day specialist referral

6 (3.9)

2 (2.9)

Discharged

107 (70.0)

30 (42.9)

No data on disposition

10 (6.5)

10 (14.3)

Routine

Admitted to hospital

1 (0.4)

0

Same-day laboratory testing

7 (2.6)

12 (3.2)

Same-day specialist referral

7 (2.6)

10 (2.9)

Discharged

206 (76.3)

296 (80.0)

No data on disposition

49 (18.1)

54 (14.5)

a N = determined by complete triage data

Overall, admission rates to hospital were highest among those patients triaged as emergency cases either by the EP’s (21.4%) or the clinicians (83.3%). Fewer patients triaged as priority by either EPs or clinicians were admitted to hospital (4.6 and 14.9% respectively), however these patients had the highest prevalence of same day lab testing and/or specialty referral (see Table 2). Rates for discharge without admission, investigation or referral were highest amongst those patients triaged as routine either by expert patients and clinicians (76.3 and 80.0% respectively).

Discussion

Task-shifting of services beyond professional health cadres to lay health workers has been an important strategy employed by governments and non-governmental organizations working in the context of the HIV epidemic in southern Africa to mitigate human resources for health bottlenecks [26–28]. Malawi, as a low-resource country dealing with a high prevalence of HIV, has a long history of formally incorporating lay-health care workers into their health system most notably through the establishment of a lay health worker cadre known as the health surveillance assistant [29]. In the context of the HRH constraints amplified by the rapid roll out of HIV services, informal lay-health worker strategies targeting HIV-related services have been employed by partners and endorsed by the MOH [24, 30–32]. Though there is some literature demonstrating that task-shifting can improve quality of care [33–38] worse outcomes can also occur when tasks are shifted to inadequately trained personnel [39, 40].

This study is the first in the literature to formally evaluate the effectiveness and safety of task-shifting of triage to the subset of lay health workers, known as “expert patients” in an ambulatory low-resource setting. The notion and role of the “expert” in this context departs from general conceptualizations of the same terminology whereby “expertise” is premised on the lived experience of a specific condition and on the ability to manage it successfully [3]. In contrast, in the Malawi HIV program setting, the identity of “expert patients” is perceived as an acquired professional identity and linked to acquired skills, information, knowledge and training that contributes to a quasi-professional identity linked to the task-shifting of clinical tasks that has happened as a mitigation strategy for HRH constraints with large scale antiretroviral therapy roll-out [41].

This intervention was based on the ETAT Course as developed by the WHO, which advocates for the involvement of lay health care workers to provide the initial assessment of patients for triage purposes in low-resource health care facilities [42]. To date, studies published on the effectiveness of ETAT have primarily involved formal health care workers, including doctors and nurses, in its implementation [43–45]. One study involving pediatric patients at a tertiary referral centre in Malawi, evaluated task-shifting of a recently developed inpatient monitoring and triage tool (ITAT) to a parallel lay health care worker cadre that were trained as “vital signs assistants” [46].

Our study provides reassurance that in the context of adequate training and ongoing supervision, task-shifting this clinical skill-set of triage to lay health care workers does not necessarily lead to less accurate triaging. While triaging scores did not always match exactly between EPs and clinicians, we report a trend among EPs to “over-triage” patients, meaning they often assigned a falsely elevated score to patients giving them a higher sensitivity and negative predictive value. We identified a priori to this study that the most important value of this system was that EPs would not miss critically ill patients needing immediate or expedited attention in the clinic and as such feel that this trend towards over-triage is in fact a protective trend for clinic patients and acceptable in practice. This is similar to findings from the ITAT intervention for a pediatric inpatient ward, which saw an increase in the number of clinician notifications with the capacitation of trained lay health workers to conduct triage and vital signs assessment [46].

We confirm this task is safely within the scope of practice possible for lay health care workers.

In a busy, ambulatory ART clinic that services a wide range of adult and pediatric patients at different stages of their HIV disease, an effective system to triage those arriving, as early as possible, with either life-threatening illness or illness requiring admission to the hospital is vital. We further confirm the ability of this task-shifted system to identify patients who required extra services (i.e. laboratory testing, same-day consultation and/or admission) when they arrive at the clinic, allowing for earlier identification to clinicians for disposition assessment, as the rates of these events was correlated to the triage score.

This study was designed as a program evaluation and we are unable to further comment on outcomes of patients. The literature in similar settings, however, supports a reduction in mortality based on the implementation of improved triage using ETAT principles in African settings [43–46]. We have shown that patients who were acutely ill were adequately identified by our lay health care workers and received expedited referral, investigations or admission early in the day.

In the context of an exacerbation of the HRH crisis being potentiated by the successful large-scale roll out of HIV services, this evaluation of triage quality adds to the growing body of literature supporting task-shifting of some clinical tasks, in a well-trained and sustainably supervised program, to lay health worker cadres [24, 30–32]. Larger studies will be needed to evaluate if task-shifting of triage can lead to improved patient outcomes such as mortality.

Limitations

We recognize several limitations to this study. First, clinical officers were used as the gold standard for triage scores, however there may be differences in their range of expertise and our data does not allow us to assess the inter-rater reliability of our clinicians. Furthermore, the study is limited to immediate disposition outcomes and cannot comment further on overall impact on morbidity or mortality for those patients triaged to early assessment and intervention.

Conclusion

In an era of ongoing human resources for health crises in many low-income countries, task-shifting to lay health care cadres is one potential strategy for improving quality of services for patients. We show that a lay health care cadre, namely “expert patients”, in an low-resource ambulatory ART clinic in Malawi can provide safe and effective triaging to improve the identification and early assessment of acutely ill patients. We encourage further development and evaluation of innovative programmes to support the incorporation of lay health care workers into similar settings.

Abbreviations

ART: 

Antiretroviral therapy

EP: 

Expert patient

EPs: 

Expert patients

ETAT: 

Emergency Triage Assessment and Treatment

HIV: 

Human Immunodeficiency Virus

HRH: 

Human resources for health

ITAT: 

Inpatient monitoring and triage tool

LICs: 

Low income countries

MOH: 

Ministry of Health

NGO: 

Non-governmental organization

NPV: 

Negative predictive value

PLHIV: 

People living with human immunodeficiency virus

PPV: 

Positive predictive value

WHO: 

World Health Organization

Declarations

Acknowledgments

The authors would like to thank the Expert Patients, nurses, clinicians and support staff at Tisungane Clinic, Zomba Central Hospital, Malawi

Funding

This study was conducted as a monitoring and evaluation study for the Dignitas International Malawi Country Program with printing and stationary costs covered by the Dignitas International Malawi Country Program. The Expert Patient program during the period of triage training (2010) was funded by a grant from Pediatric AIDS Treatment Africa, and during the period of evaluation (2012) was funded by a grant from the United States Agency for International Development. Megan Landes was supported by a New Investigator Award from the Department of Family and Community Medicine, University of Toronto.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on request.

Authors’ contributions

ML, EM, CG and AKC participated in the study design. CT, EM, ET, CG and HA carried out the data collection and ML and AKC participated in the coordination. CT, AKC and ML helped to draft the manuscript and all authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable

Ethics approval and consent to participate

This study was approved by the National Health Sciences Research Committee of Malawi (Protocol #1000) and the University Health Network Research Ethics Board, University of Toronto (Protocol #12-0085-AE).

The need for individual informed consent was waived by the National Health Sciences Research Committee of Malawi (Protocol #1000) and the University Health Network Research Ethics Board, University of Toronto (Protocol #12-0085-AE) as this was a quality improvement audit conducted as programmatic evaluation

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Authors’ Affiliations

(1)
Dignitas International-Malawi Country Program
(2)
Department of Emergency Medicine, University Health Network
(3)
Department of Family and Community Medicine, University of Toronto
(4)
Division of Infectious Diseases, Department of Medicine, University of Toronto
(5)
London School of Tropical Medicine and Hygiene
(6)
Tisungane Clinic, Zomba Central Hospital, Malawi Ministry of Health
(7)
Division of Infectious Diseases, Sunnybrook Health Sciences Centre
(8)
Institute for Health Policy, Management and Evaluation and Division of Clinical Public Health, Dalla Lana School of Public Health, University of Toronto

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