Research article | Open | Open Peer Review | Published:
Multiple and mixed methods in formative evaluation: Is more better? Reflections from a South African study
BMC Medical Research Methodologyvolume 16, Article number: 173 (2016)
Formative programme evaluations assess intervention implementation processes, and are seen widely as a way of unlocking the ‘black box’ of any programme in order to explore and understand why a programme functions as it does. However, few critical assessments of the methods used in such evaluations are available, and there are especially few that reflect on how well the evaluation achieved its objectives. This paper describes a formative evaluation of a community-based lay health worker programme for TB and HIV/AIDS clients across three low-income communities in South Africa. It assesses each of the methods used in relation to the evaluation objectives, and offers suggestions on ways of optimising the use of multiple, mixed-methods within formative evaluations of complex health system interventions.
The evaluation’s qualitative methods comprised interviews, focus groups, observations and diary keeping. Quantitative methods included a time-and-motion study of the lay health workers’ scope of practice and a client survey. The authors conceptualised and conducted the evaluation, and through iterative discussions, assessed the methods used and their results.
Overall, the evaluation highlighted programme issues and insights beyond the reach of traditional single methods evaluations. The strengths of the multiple, mixed-methods in this evaluation included a detailed description and nuanced understanding of the programme and its implementation, and triangulation of the perspectives and experiences of clients, lay health workers, and programme managers. However, the use of multiple methods needs to be carefully planned and implemented as this approach can overstretch the logistic and analytic resources of an evaluation.
For complex interventions, formative evaluation designs including multiple qualitative and quantitative methods hold distinct advantages over single method evaluations. However, their value is not in the number of methods used, but in how each method matches the evaluation questions and the scientific integrity with which the methods are selected and implemented.
Evidence of the effectiveness of healthcare programmes is important to informing policy and practice decisions [1–3]. Understanding how these programmes are implemented, including how contextual and programmatic factors contribute to the success or failure of a programme , is equally important . Formative evaluations – evaluations that assess intervention implementation processes  – can contribute to this understanding. These evaluations should aim to identify the key components of a programme as implemented and to explore the factors affecting its implementation, in relation to the implementation context. Formative evaluations findings can guide the effective replication of programmes in other settings . Such formative evaluations are often designed as multiple, mixed-methods evaluations , defined as the application of a combination of qualitative and quantitative approaches [9–11], to allow them to address adequately a wide range of questions regarding how a programme was implemented.
Multiple, mixed-methods evaluations are used widely, particularly for programmes that involve complex interventions or a complex mix of interventions [12, 13]. Multiple, mixed-methods approaches have a number of advantages, including providing a more holistic and textured picture of a programme and its implementation [12, 14, 15], and having the potential to redress the inherent biases that any single method has [16, 17]. They also allow the corroboration, or triangulation, of findings [11, 16, 18, 19]. However, these approaches raise a number of challenges including assembling a research team with skills and experience across multiple methods ; acquiring the resources needed to implement data collection using multiple strategies ; and undertaking analysis of data collected using multiple approaches .
This paper discusses the strengths and weaknesses of a multiple, mixed-methods approach applied in a formative evaluation of a community-based health programme that addressed the burden of HIV/AIDS and tuberculosis (TB) in Cape Town, South Africa. This evaluation, the findings of which are reported elsewhere , comprised an unusually wide range of methods, including two methods – time-and-motion analysis and diary keeping – that are less commonly reported in the context of programme evaluation. The evaluation therefore provided a valuable opportunity to reflect on how we applied these methods and the implications of the methodological choices that we made. This paper aims to assess each of the methods used in relation to the evaluation objectives, and offers suggestions regarding ways of optimising the use of multiple, mixed-methods within formative evaluations of complex interventions.
Methods used to develop this paper
This paper is based on critical reflections by the research team on the evaluation we conducted. Both during and after the evaluation, the evaluation team reflected on the methods used, paying attention to the following issues: (i) ensuring that all programme components were evaluated; (ii) the comparative ease or difficulty in implementing data collection; (iii) the perceived contribution of the findings from each method to the overall evaluation findings; and (iv) the process of drawing together the findings from across the study. The lead researcher (WO) kept notes of these discussions, which occurred mainly during progress reports to the evaluation team, and also kept process notes of methodological issues that arose during the fieldwork. These notes, together with the reflexive discussions within the evaluation team, formed the basis for this paper. The ideas described here evolved further through the writing process.
The evaluation: setting and programme description
TB and HIV/AIDS remain high priority public health problems in South Africa: at the time of the evaluation presented here (2009–2010), South Africa had the largest HIV/AIDS epidemic in the world, with approximately 5.6 million people living with HIV/AIDS . The country also had the third highest TB burden in the world, with an infection rate of 981/100 000 . This situation was complicated by the high rates of TB/HIV co-infection: 128,457 people were reported to be co-infected with TB and HIV in 2010 in South Africa . At the time of this study, the Cape Town Metropole (Metro), the study site, had the highest TB incidence rate in South Africa of 752 per 100 000 population . The antenatal HIV prevalence in this health district was 19.1% (range 8.8% – 33.1%). This was lower than the national prevalence of 30.2% . Approximately 47% of TB clients in this district were also living with HIV/AIDS .
The Metro district has been active in developing community-based programmes to deliver care to people living with TB and HIV/AIDS. The district has a strong focus on employing lay health workers (LHWs – sometimes referred to as community health workers) as treatment providers in these programmes , and of integrating care for co-infected clients . Within the Metro, a number of different models for delivering TB and HIV/AIDS care have been tested, including (i) the Enhanced TB Adherence (ETA) programme, where TB treatment was modeled on the anti-retroviral therapy (ART) programme’s supported self-administration approach ; and (ii) a model of care delivered with a mix of directly-observed-therapy (DOT) and ETA for TB clients and tailored support for ART clients . These models were supported by the two health authorities in the Metro: the City of Cape Town, Department of Health (CDoH) and the Western Cape Provincial Government Department of Health (WCDoH), in collaboration with a number of non-governmental organisations (NGOs) who employed and managed the LHWs involved in these programmes.
The formative evaluation that provided the data for this methodological assessment was commissioned by an NGO who provided community-based primary healthcare services in poorer areas of the Metro, on behalf of the Metro health authorities. This programme of community-based services used different models across the programme sites to integrate LHW-led care for people with TB and/or HIV/AIDS (Table 1). However, these integration models used the same LHW structure across the sites. Specifically, each LHW team comprised of a group of LHWs and a team leader. The team leaders were, like the LHWs, recruited from the community, and both groups had no formal, professionally certified healthcare training but received training in the context of their work. The team leaders had been promoted, based on their experience and quality of work, to manage a LHW team. They had less contact with clients than LHWs, and served as link between the staff of the local primary health care clinic and LHWs in the field. The LHWs conducted treatment and adherence support visits to clients. These visits included observation of the taking of TB treatment and ART, pill counts, checking for treatment side-effects and social support to clients. The three LHW teams were all female.
The NGO purposefully selected three low-income communities for the study, based on the different models of care implemented in these sites. All three sites had ethnically diverse populations and high levels of unemployment, with a significant proportion of residents below the government’s poverty threshold of USD 320 per month (Table 2). Most residents lived in informal housing. Site 3 differed in that it was a slightly wealthier community that included formal housing areas.
The evaluation methods
Aim of the evaluation
The evaluation aimed to explore the strengths and weaknesses of the community-based treatment support programme in order to inform programme development. The objectives were, firstly, to provide a detailed description of the programme and its implementation; and, secondly, to explore the experiences and perceptions of clients, LHWs and programme managers regarding the programme. The evaluation did not aim to assess the effectiveness of the programme in relation to client health outcomes.
Evaluation design: five sub-studies
The evaluation objectives led to the mixed-methods approach summarised in Table 3. Each method, which we refer to as a ‘sub-study’, targeted different actors and components of the programme. Our approach was informed by a number of considerations: it not only matched the complexity of the programme, but offered the required depth (through the use of qualitative approaches) and breadth (through the use of a quantitative survey approach) of information sought by the commissioning NGO. Table 3 outlines the rationale for and implementation of each method.
The evaluation team comprised four researchers, who worked across the three study sites, over nine months. We conducted the time-and-motion study and the client survey within a specified time period (eight and nine weeks respectively). Data collection for the other sub-studies was done as and when participants were available. We developed protocols for each sub-study detailing the what, how, who and when of each evaluation activity. All instruments were piloted and refined before a sub-study was formally implemented (see Table 4 below for an example of a structured observation guide).
The data collection methods for the evaluation are shown in Table 5. Data from these sources were synthesised in the analysis to: (a) describe the models of care; and (b) explore the views and experiences of (i) clients; (ii) LHWs; and (iii) programme managers. Both the methods and divergent participant groups allowed us to identify similarities and, equally importantly, differences between the groups on how they perceived and experienced delivering healthcare services in the study sites.
We present below a critical assessment of each method’s challenges and strengths, and discuss how the data collected contributed to achieving the evaluation objectives. This is preceded by a brief summary of the overall evaluation findings.
Summary of the evaluation findings
Overall, the evaluation  confirmed the feasibility of the programme, with its variations across the implementation sites, for providing integrated community-based treatment and adherence support to TB, HIV/AIDS and co-infected clients. The evaluation highlighted a number of strengths of the programme, in particular the dedicated LHW teams, and offered recommendations to address its challenges, such as the low proportion of LHWs’ time that was spent in direct contact with clients. Table 6 provides a summary of the key messages from the evaluation report.
Sub-study 1: Time-and-motion - describing and understanding the work of lay health workers and their team leaders
The time-and-motion study, reported in full elsewhere , had several strengths. First, it complemented the data obtained from interviews with the LHWs. The observations helped to address our concerns that (i) the interview data may have been affected by poor recall of earlier events (since the interviews were conducted towards the end of the data collection period), and (ii) LHWs and team leaders may have emphasised views and activities that they saw as reflecting favourably on them.
Second, the data highlighted the impact of context on programme implementation. For example, the findings showed that, on average, LHWs spent only 46% of their time with clients. The remainder of their time was spent on walking to, and waiting at, clients’ houses – a reflection of the large geographical areas they covered and the challenge of making appointments with clients who could only be contacted in person. This information is important to understanding what might constitute realistic work targets for community-based LHWs, allowing programme managers to plan appropriately during programme implementation.
Third, the observations identified a number of innovative practices that may otherwise not have been revealed. For instance, knowing that TB and HIV/AIDS are highly stigmatised in the communities in which they worked, LHWs developed a range of strategies to protect the confidentiality of their clients. In one case, the LHW pretended to be ‘just a friend visiting’ when people who were not aware of the HIV positive status of the client arrived unexpectedly. In another case, the LHW concealed her role from other community members by placing her work papers inside a popular magazine. Both strategies reduced the likelihood of accidental disclosure of the client’s status within the neighbourhood.
Fourth, this sub-study provided us with unanticipated opportunities to engage the team leaders and LHWs in spontaneous, informal conversations. The data from these conversations contributed substantively to our understanding of the day-to-day realities of the work of LHWs. For example, during one set of observations a LHW casually showed us where a recent gang-related shooting had happened. This led to a conversation about work-related risks, but also revealed LHWs’ perception that they were treated with respect in the communities in which they worked and were seldom the target of crime and gang-related violence. These data, in turn, led to insights regarding the importance that LHWs attach to being respected and appreciated by the communities in which they work and by their managers.
Finally, the contact with clients during these observations provided opportunities to probe emerging issues. For instance, one encounter raised the question of whether age differences between LHWs and clients impact on their relationship and, if so, how. These unscripted, spontaneous interviews yielded such rich data that we recorded these for all nine time-and-motion participants in Sites 2 and 3 (but not in Site 1 as the data collection was already completed).
There were, however, two important challenges in implementing this approach. Firstly, it was labour intensive and therefore only feasible to implement with a small sample of LHWs over a limited time period. Ideally, this sub-study would have run over a longer time period to ascertain if other factors, such as seasonal changes, impact on LHW activities. Secondly, some LHWs may have wanted to emphasise their challenging working conditions and may therefore have chosen, on time-and-motion observation days, to visit problematic clients who lived furthest from the clinic that was responsible for their care. However, all of the clients visited had been assigned to the LHWs at the time of the evaluation, and it is therefore likely that the data provided a reasonable reflection of LHWs’ daily work.
Sub-study 2: Survey - clients’ assessment of the programme components
A key strength of the client survey was that it highlighted important implementation differences across the study sites. For example, 92% of client participants in Site 1 reported having received weekly or bi-weekly LHW visits, compared to the 36% and 52% of participants in Sites 2 and 3 respectively. The information from participants also indicated that some LHWs were not adhering to visit guidelines developed by the managing NGO: only 51 (36%) of the 142 clients on ART, or on ART and TB treatment, reported that they had received adherence support visits. The visit guidelines note that all ART clients should be visited regularly.
These results were met with concern by the NGO who managed the LHWs and commissioned the evaluation. The NGO asked us to check our analysis and to conduct focus group discussions (FGDs) with LHWs to confirm the survey findings. This further work did not change our findings, but provided useful additional data on how context shapes programme implementation: in the FGDs, LHWs with high client caseloads explained that it made sense to prioritise visits to clients who were not doing well on treatment. Those who were doing well, they noted, were not visited unless this was requested by the client or their health facility. This illustrates the utility of the relatively simple survey that we conducted in identifying potentially important implementation issues that required further exploration using other methods. These additional data, in turn, contributed to generating a more nuanced understanding of how LHWs organise their work.
Sub-study 3: Structured observations - describing the ‘intervention moments’ of the programme
The observations of LHWs’ interactions with clients, which we defined as the intervention moments of the programme, were far more challenging than the time-and-motion observations because of their intention to involve both clients and LHWs. The challenges we encountered included clients being ill at ease with the presence of the observer; clients appearing to report only positive aspects of the care they received from LHWs; clients not reporting their non-adherence to treatment; and LHWs pressuring the observer to help with clients who they viewed as problematic. These suggest important power imbalances, not only between the research observer and clients but also between LHWs and their clients.
Our observations of these intervention moments helped to confirm the findings of the time-and-motion sub-study regarding the high levels of stigma attached to TB and HIV/AIDS in these communities. For example, they revealed how LHWs used nonverbal approaches to communicate with clients regarding an impending visit, in order to protect their status from other people. These additional data therefore offered insights into issues that shaped programme delivery and that may otherwise not have come to our attention.
An unintended consequence of the sub-study was the close relationship that developed between the observer and the LHWs whom she shadowed, allowing the LHWs to more easily share their experiences. For example, LHWs discussed during the observations that they felt that their training did not equip them sufficiently to work with and support clients who were not taking their treatment as prescribed. Another unexpected consequence of the observational work was that the LHWs asked the observer to help them with clients who were not adhering to their treatment.
Sub-study 4: Interviews -exploring the views and experiences of clients, LHWs, NGO staff and managers and health authority managers
These formal, structured interviews were intentionally conducted towards the end of the evaluation. We drew on the preliminary findings from the time-and-motion and structured observation studies, as well as the preliminary survey results, to develop interview schedules. These were therefore informed by the on-the-ground realities of the programme and helped us to clarify issues raised by other components of the evaluation, in particular the reasons for differences in the way the programme was implemented across the study sites. For instance, we found after probing that the health authorities had sanctioned variations in LHW visit protocols, as they had not finalised and standardised a model of care. Another example of how the interviews helped to clarify questions emerging from other data sources concerned our time-and-motion observation that team leaders often felt overwhelmed by their duties. When we raised this with them during the interviews, they explained that they found it particularly stressful to deal with instances in which LHWs were not adhering to visit or other guidelines and, at the same time, maintain a high morale amongst their LHW team.
Sub-study 5: Diary keeping - exploring how clients coped with their illness and the roles that LHWs played in this
The diary data provided fascinating information about the day-to-day struggles of clients to cope with their illness in the context of extreme poverty and appalling living conditions. A key strength of this method was the unique insights it provided into the ways in which LHWs support clients, which went as far as one LHW visiting a client in prison. The study also offered longitudinal data on the treatment trajectory for two people living with HIV who were initiated on ART shortly before being recruited for this sub-study. Diary keeping allowed us to understand the high value placed by clients on receiving support from someone who was familiar with their living conditions and circumstances, and who understood the challenges that they faced.
Although the diary keeping provided valuable data, it is a labour intensive approach and needs to be continued over long periods of time if the illness experiences of people are to be captured adequately. In this evaluation, two participants kept diaries for 24 weeks while another two participants were involved for the full nine months of the evaluation. The volume of data generated over these long periods is challenging to analyse. An additional challenge lies in the recruitment of participants: not all people have the capacity to keep a diary or interest in doing so, and careful explanation and recruitment is therefore needed. In our study we asked the LHWs to identify potential ‘diary participants’. Given these challenges, diary-keeping may not be a useful tool for all formative evaluations. Evaluators need to weigh the benefits of the very in-depth data obtained against the resources needed to collect and analyse these.
We reflect below on the methodological concerns cutting across the methods used in this evaluation and attempt to identify important issues in planning and conducting formative evaluations of complex interventions using multiple, mixed-methods. Based on these reflections, we also make suggestions for future evaluations (Table 7).
Multiple, mixed-methods generate a more detailed and textured evaluation
It has been suggested that neither the number of methods, nor the mix of qualitative and quantitative methods, determine the quality of an evaluation, but rather the extent to which these align with the questions the evaluator seeks to answer . The first objective of this evaluation was to provide a detailed description of the programme and the second was to explore the perspectives and experiences of all the social actors involved in it. We anticipated that one method would not easily achieve these objectives and therefore chose a multi-method approach which we hoped would result in more comprehensive and holistic evaluation findings. This holistic approach is illustrated by our findings on team leaders’ work, and their perceptions and experiences of this. The time-and-motion study provided a quantitative description of how they organised their time while the interviews added insights into their feelings of being overburdened with work demands. This triangulation involved exploring and comparing data on the same phenomenon, in this case what it meant to be a team leader, that we had collected using different methods [11, 16]. It offered a more inclusive and textured account than would have been possible using only one data collection method. We would also argue that the triangulation of data from different methods also strengthened the trustworthiness of the data [11, 13, 16].
Similarly, the diary keeping and observations yielded rich data regarding the life and health experiences of people living with stigmatised illnesses and attempting to manage complex treatment programmes under very difficult conditions. These two sub-studies gave us insights into the “hidden moments” of community-based healthcare. One such moment was observing the touching empathy and support with which a LHW comforted and encouraged a client with HIV and AIDS who wanted to give up on life. This observation prompted us to look more carefully at the commitment that LHWs showed to their clients and the reasons for this. We were also able to triangulate the findings from the diary keeping and observations with the survey findings which also focused on clients’ experiences of the healthcare services they received. For example, the survey showed that 92% of clients felt that the LHW visits were helpful or very helpful. This perception was repeatedly echoed by clients during the diary keeping and structured observations of LHW visits.
The concept of triangulation is used widely within the mixed method evaluation literature, and focused initially on the idea that similar results from different research methods would enhance the validity of research findings . Subsequently, triangulation has also been conceptualised as a mechanism for producing a more complete or holistic picture of the phenomenon of interest . Denzin  identified a range of different triangulation strategies: data triangulation, using multiple sources of data; investigator triangulation, using varied observers; and theoretical triangulation, in which theories from multiple disciplines are used to broaden the interpretive framework of a study [19, 31]. While these different forms of triangulation are often promoted, it has been argued that insufficient attention has been paid to what triangulation means both epistemologically and at the level of methods, interpretation, and inference for individual studies [18, 31]. Further, triangulation is only one of a range of reasons for combining different methods – other reasons include complementarity (using results from one method to explain results from another), development (using results from one method to further the development of another) and expansion (using different methods for different elements of the research question so as to expand its depth) . While this ‘fuzziness’ is conceptually challenging, Erzberger and Kelle note that the different approaches to triangulation are helpful in identifying different options for drawing together results from different methods and that no single approach is appropriate for all types of integration .
When planning the evaluation, we believed that the mix of quantitative and qualitative methods selected and their triangulation would complement each other , provide a balance between breadth of data (a strength of the client survey) and depth of data (a strength of the client diaries and structured observations), and allow us to expand the depth of the research overall. Together these methods would also contribute to the generalisability of the findings [34, 35]. In practice, we found that this approach did help us to distill key implementation findings and principles . For example, the evaluation identified the need for the training of LHWs to include both bio-medical knowledge – a conclusion drawn from findings from the client survey – and ways of managing psychosocial barriers to treatment adherence – a conclusion derived from the results of the structured observations and diary-keeping. However, the range of methods that we selected and our approach to both data and investigator triangulation raised a number of challenges which we discuss below.
A limit to the multitude of methods?
Enthusiasm for multiple methods can easily turn into an overly ambitious evaluation that over-stretches its resources. Multi-method evaluations need considerable resources to collect, analyse and report data and also require that the research team include a wide range of skills and experience [20, 21]. Our research team had worked together for some time and were committed to the mixed methods paradigm . However, bringing together researchers from different methodological paradigms may be challenging for both team processes and data analysis . Our experience suggests that careful planning and agreement on the value and combination of methods is needed before embarking on an evaluation.
We also need to recognise that more effort is needed to plan and conduct mixed methods evaluations, compared to single method evaluations. Qualitative and quantitative research make different epistemological assumptions, and researchers have questioned whether the interpretivist and positivist paradigms are compatible at all , and the implications of this for evaluations that attempt to bring together qualitative and quantitative data. In this study, we took a pragmatic stance [9, 35, 38]: we accept that there are multiple realities that can be explored empirically and focused on understanding practical problems identified by our colleagues in practice settings, with the aim of providing useful knowledge. Guided by this approach, we saw it as important that the methods we used were complementary and helped to achieve the evaluation objectives, while taking available resources and time constraints into account. An evaluation with an array of sophisticated and sensitive data collection tools, but without adequate time and resources to implement these appropriately or to do justice to the emerging data, is unlikely to produce valid and trustworthy findings and may be less desirable than a well conducted single method evaluation. For example, the rich, in-depth longitudinal data gathered through methods such as diary keeping need to be traded off against the time needed to collect and analyse these data. Diary keeping may be most useful for issues that are sensitive or stigmatised, and have profound effects on people’s daily lives. The in-depth data produced through this method can help understand changes in people’s views and experiences over time. Diary keeping could also be considered for formative evaluations of novel interventions whose potential impacts are not well understood. However, it may not produce useful knowledge where research resources are very limited or where rapid results are needed.
One of the most challenging aspects of multi-method evaluation is the analysis of data from different methods and sources . Ideally, this process is iterative with preliminary findings and methodological insights from one method informing the application of the other methods. Data analysis needs to explore the results from each approach while making connections between these emerging groups of results, with a view to developing an integrated set of findings. Methods designed for applied research, such as framework analysis, may offer advantages as these allow data to be categorised and analysed in a structured manner [35, 39, 40]. Logic models are another analytic tool that can be helpful in drawing together findings from different methods to create hypotheses regarding how a process unfolds or how an intervention impacts on its intended recipients and is influenced by its delivery and wider context [41, 42].
An important practical consideration is whether there is sufficient time to provide timely and regular feedback to the commissioning agency and other stakeholders during the course of the evaluation [43, 44]. In our evaluation, the timeframe required by the funder meant that feedback of preliminary findings from each evaluation component was not feasible and only the findings from the client-survey were shared with stakeholders in a feedback meeting. All other results were jointly presented to stakeholders one month after completion of the evaluation. We therefore did not have opportunities to discuss all preliminary findings – a process that could have been useful in understanding each set of findings and also in making connections across the different sets of findings. While mixed method formative research can forefront the voices of different stakeholders, including service users and providers [38, 45], our experience raises questions of how and when to best engage with stakeholders regarding the findings of mixed method evaluations, so as to be able to draw in their perspectives, and how to present rich and textured mixed method findings to these groups and to other researchers.
Evaluation as a creative and innovative enterprise
Patton argues that programme evaluation is as much a creative process as it is rooted in sound and robust methodologies . It is this perspective that led us to experiment with less frequently used evaluation methods such as structured observations and diary keeping. We learnt valuable lessons through this experimentation – for example, we did not anticipate that the presence of the observer, who had the same ethnic and language background as the clients and LHWs, would affect clients to the extent that we felt their responses during the structured observations were partial or overly positive. In future evaluations we need to consider alternative strategies to address this problem. Similarly, we found the large volumes of data produced by diary keeping difficult to manage in a time-limited evaluation. However, we believe that the mix of methods led to useful knowledge overall – a key feature of the pragmatic stance to mixed method research  – and we learnt a number of valuable lessons, including on the many challenges of evaluating a community-based programme to support people living with stigmatised illnesses. An innovative and creative evaluation allows the evaluation team to be responsive to data collection opportunities in the field, such as our decision to record informal conversations during the time-and-motion study – a data collection element that was not planned initially. These changes of course need to be congruent with the evaluation protocol and ethics approvals.
New and innovative methods place the evaluation team on unfamiliar ground regarding what these methods will entail. For example, the diary-keeping fieldwork became emotionally stressful for the evaluator because of the intimate information shared by the participants. This highlights the importance of reflexivity and of support for both participants and evaluators. While empathy and immersion are important considerations when researching people’s experiences of living with a health issue, and close relationships with participants and communities can help to obtain a holistic view of the programme evaluated, care should be taken to ensure that appropriate debriefing opportunities are available.
Suggestions for optimising the benefits of multiple, mixed-method evaluations
From the experiences described in this paper, we have distilled a number of suggestions that may help other researchers optimise the benefits of multiple, mixed-method evaluations (Table 7).
Formative evaluations are not a ‘miracle cure’ that offer definitive answers to programme implementation questions but rather their value lies in their iterative nature. In the evaluation discussed here, each sub-study, individually and combined, contributed to opening up the ‘black box’ of how and why this programme functioned as it did. Based on the lessons we learned from this evaluation, the answer to the question posed in the title is a definite ‘Yes’ – formative evaluation designs including multiple qualitative and quantitative methods hold distinct advantages over single method evaluations. However, their value is not in the number of methods used, but in how each method matches the evaluation questions.
Directly observed therapy
Focus group discussion
Lay health workers
Harder T, Takla A, Rehfuess E, Sánchez-Vivar A, Matysiak-Klose D, Eckmanns T, et al. Evidence-based decision-making in infectious diseases epidemiology, prevention and control: matching research questions to study designs and quality appraisal tools. BMC Med Res Methodol. 2014;14:69.
Oxman AD, Lavis JN, Lewin S, Fretheim A. SUPPORT Tools for evidence-informed health policymaking (STP)1 : What is evidence-informed policymaking? Heal Res Policy Syst. 2009;7:1–7.
Weiss CH. An Alternate Route to Policy Influence: How Evaluations Affect D.A.R.E. Am J Eval. 2005;26:12–30.
Astbury B, Leeuw FL. Unpacking black boxes: Mechanisms and theory building in evaluation. Am J Eval. 2010;31:363–81.
Hesselink AE, Harting J. Process evaluation of a multiple risk factor perinatal programme for a hard-to-reach minority group. J Adv Nurs. 2011;67:2026–37.
Atkins S, Odendaal W, Leon N, Lutge E, Lewin S. Qualitative process evaluation for complex interventions. In: Richards DA, Rahm-Hallberg I, editors. Complex interventions in health: An overview of research methods. London: Routledge; 2015. p. 239–47.
Patton MQ. Developmental evaluation: Applying complexity concepts to enhance innovation and use. New York: The Guildford Press; 2011.
Saunders RP. Developing a process-evaluation plan for assessing health promotion program implementation: A how-to guide. Health Promot Pract. 2005;6:134–47.
Feilzer MY. Doing mixed methods research pragmatically: Implications for the rediscovery of pragmatism as a research paradigm. J Mix Methods Res. 2010;4(1):6–16.
Hoppe-Graff S, Lammm-Hanel N. Diaries and questionnaires: mixed-methods research on maternal discipline techniques. Qual Res Psychol. 2006;3(4):263–78.
Bloch C, Sørensen MP, Graversen EK, Schneider JW, Schmidt EK, Aagaard K, et al. Developing a methodology to assess the impact of research grant funding: A mixed methods approach. Eval Program Plann. 2014;43:105–17.
Betzner A, Lawrenz FP, Thao M. Examining mixing methods in an evaluation of a smoking cessation program. Eval Program Plann. 2016;54:94–101.
da Costa AF, Pegado E, Ávila P, Coelho AR. Mixed-methods evaluation in complex programmes: The national reading plan in Portugal. Eval Program Plann. 2013;39:1–9.
Meschede T, Chaganti S. Home for now: A mixed-methods evaluation of a short-term housing support program for homeless families. Eval Program Plann. 2015;52:85–95.
Venkatesh V, Brown SA, Bala H. Bridging the Qualitative-Quantitative divide: Guidelines for conducting mixed methods research in Information systems. MIS Q. 2013;37(1):21–54.
Thurmond VA. The point of triangulation. J Nurs Scholarsh. 2001;33(3):253–8.
Denscombe M. Communities of practice a research paradigm for the mixed methods approach. J Mix Methods Res. 2008;2(3):270–83.
Erzberger C, Kelle U. Making inferences in mixed methods: the rules of integration. In: Tashakkori A, Teddlie C, editors. Handbook of mixed methods in social and behavioural research. London: Sage; 2003.
Denzin NK. Strategies of multiple triangulation. In: The research act: A theoretical introduction. 3rd ed. New Jersey: Prentice-Hall; 1989. p. 234–47.
Bazeley P. Issues in mixing qualitative and quantitative approaches to research. In: Buber R, Gadner J, Richards L, editors. Applying qualitative methods to marketing management research. UK: Palgrave Macmillan; 2004. p. 141–56.
Onwuegbuzie AJ, Leech NC. Linking research questions to mixed methods data analysis procedures 1. Qual Rep. 2006;11(3):474–98.
Evans BC, Coon DW, Ume E. Use of theoretical frameworks as a pragmatic guide for mixed methods studies: A methodological necessity? J Mix Methods Res. 2011;5(4):276–92.
Odendaal WA, Mtshizana Y, Lewin S, Hausler H. A formative evaluation of integrated community-based treatment and adherence support models for TB and HIV clients implemented in the Cape Metropole. Cape Town; 2010. http://www.mrc.ac.za/healthsystems/operationalresearch2010.pdf. Accessed 10 Dec 2016.
WHO (World Health Organisation) report: Global HIV/AIDS response: Epidemic update and health sector progress towards universal access: Progress report. 2011. http://whqlibdoc.who.int/publications/2011/9789241502986_eng.pdf. Accessed 15 May 2013.
WHO (World Health Organisation) report: South Africa TB profile. 2011.https://www.google.co.za/webhp?sourceid=chrome-instant&ion=1&espv=2&ie=UTF-8#q=South+Africa+TB+profile+2011. Accessed 15 May 2013.
WHO (World Health Organisation) report: Global Tuberculosis control. 2011. http://apps.who.int/iris/bitstream/10665/44728/1/9789241564380_eng.pdf. Accessed 15 May 2013.
City of Cape Town. HIV, Aids, STI and TB plan 2012/2013. Cape Town: City of Cape Town; 2012.
City of Cape Town: Routine data 2010. Accessed from: http://www.capetown.gov.za/departments/City%20Health. Accessed 4 Sept 2014.
Odendaal WA, Lewin S. The provision of TB and HIV/AIDS treatment support by lay health workers in South Africa: A time-and-motion study. Hum Resour Health. 2014;12:18.
Atkins S, Lewin S, Jordaan E, Thorson A. Lay health worker-supported tuberculosis treatment adherence in South Africa: An interrupted time-series study. Int J Tuberc Lung Dis. 2011;15:84–9.
Green J, Thorogood N. Qualitative methods for health research. 3rd ed. London: Sage; 2014.
Greene JC, Caracelli VJ, Graham WF. Toward a Conceptual Framework for Mixed-method Evaluation Designs. Educ Eval and Pol Anal. 1989;11(3):255–74.
Woolley CM. Meeting the mixed methods challenge of integration in a sociological study of structure and agency. J Mix Methods Res. 2009;3(1):7–25.
Bonell C, Oakley A, Hargreaves J, Strange V, Rees R. Research methodology: Assessment of generalisability in trials of health interventions: suggested framework and systematic review. BMJ. 2006;33(7563):346–9.
Prachi S, Hopwood N. A practical iterative framework for qualitative data analysis. Int J Qual Methods. 2009;8(1):76–84.
Teddlie C, Tashakkori A. Major issues and controversies in the use of mixed methods in the social and behavioural sciences. In: Tashakkori A, Teddlie C, editors. Handbook of mixed methods in social and behavioural research. London: Sage; 2003.
Morgan DL. Paradigms lost and pragmatism regained methodological implications of combining qualitative and quantitative methods. J Mix Meth Res. 2007;1(1):48–76.
Greene JC. Is mixed methods social inquiry a distinctive methodology? J Mix Meth Res. 2008;2(1):7–22.
Gale NK, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol. 2013;13(1):117.
Ritchie J, Spencer L. Qualitative data analysis for applied policy research. In: Bryman A, Burgess RG, editors. Analyzing qualitative data. London: Routledge; 1994. p. 173–94.
Anderson LM, Petticrew M, Rehfuess E, Armstrong R, Ueffing E, Baker P, et al. Using logic models to capture complexity in systematic reviews. Res Synth Methods. 2011;2(1):33–42.
Kneale D, Thomas J, Harris K. Developing and Optimising the Use of Logic Models in Systematic Reviews: Exploring Practice and Good Practice in the Use of Programme Theory in Reviews. PLoS One. 2015;10(11):e0142187.
Tolma EL, Cheney MK, Troup P, Hann N. Designing the process evaluation for the collaborative planning of a local turning point partnership. Health Promot Pract. 2009;10:537–48.
Szanyi M, Azzam T, Galen M. Research on evaluation: A needs assessment. Can J Progr Eval. 2012;27:39–64.
Palinkas LA, Aarons GA, Horwitz S, Chamberlain P, Hurlburt M, Landsverk J. Mixed method designs in implementation research. Adm Policy Ment Health. 2011;38(1):44–53.
City of Cape Town: Census Suburb Imizamo Yethu. 2011. [https://census2011.adrianfrith.com/place/199043]. Accessed 02 Jul 2012.
City of Cape Town: Census Suburb Nyanga. 2011. [https://census2011.adrianfrith.com/place/199031]. Accessed 02 Jul 2012.
City of Cape Town: Census Suburb Atlantis. 2011. [https://census2011.adrianfrith.com/place/199004]. Accessed 02 Jul 2012.
The researchers would like to thank all the lay health workers, clinic staff, NGO management, in particular Prof. Harry Hausler, director of the participating NGO, and the health authorities’ management, who willingly offered their time to support and participate in the study. We also wish to acknowledge the enthusiastic support we received during the study, especially from Dr. Karen Jennings and Judy Caldwell from the City of Cape Town, Department of Health, and from staff of the Western Cape Provincial Government Department of Health. Finally, we want to thank Yolisa Mtshizana who assisted in collecting data for the evaluation.
The National Department of Health, South Africa, partly funded the study. WO and SL are supported by funding from the South African Medical Research Council. SA is supported by funding from the University of Tampere and Karolinska Institutet.
Availability of data and materials
Project report: http://www.mrc.ac.za/healthsystems/operationalresearch2010.pdf.
WO, SL, and SA conceptualised the study. All authors contributed to refining the ideas, implementing the study and editing drafts.
All three authors have experience of programme evaluation in South African public health services. The authors have previously collaborated on programme evaluations using mixed methods evaluations.
The authors declare no competing interests.
Consent for publication
Ethics approval for the evaluation was obtained from the South African Medical Research Council (EC09-028). All participants in each sub-study were given an information sheet on the study and signed a consent form.
About this article
- Mixed methods
- Multiple methods
- Formative evaluation
- Complex interventions
- Community-based programmes
- Lay health workers