INTRODUCTION
Unsafe drinking water is a determinant of poor health,1 and issues with water availability, affordability, reliability, and contamination contribute to the global burden of disease.2–4 In 2012, an estimated 502,000 diarrheal deaths were attributed to insufficient and unsafe drinking water,4 and diarrhea remains a leading cause of childhood deaths globally, particularly in low- and middle-income countries (LMICs) such as India.4,5 Previous estimates of global access to safe water sources may have been overestimated,6,7 with current estimates suggesting that 2.1 billion people worldwide lack access to safely managed drinking water.8
Achieving global improvements in access to safe drinking water requires implementation of water quality interventions that are effective, acceptable, and sustainable among target populations.9 Good intervention coverage, high uptake, and high adherence (correct, consistent, and sustained use) are essential to realizing health gains from water interventions, as ongoing or intermittent consumption of untreated water potentially undermines any protective effects of water treatment.10–12 However, incomplete adherence is often reported in trial settings, intervention use frequently drops once intensive trial promotion and monitoring activities cease, and poor uptake or unsustained use are commonly observed following attempts to bring interventions up to scale.13–16
Within the water, sanitation, and hygiene literature, an increasing number of high-quality controlled experimental trials have had disappointing health outcomes.17–21 There is growing awareness of the importance of embedding process evaluation methods into such trials, to allow determination of whether negative results are due to poor intervention efficacy, poor intervention uptake, or failure to implement the intervention as designed.22,23 Furthermore, it is recognized that evaluations based solely on quantitative methods provide limited insight into psychosocial, contextual, and technological dimensions that shape and influence target users’ perceptions and behavior.10,24 The collection of qualitative data from study participants and stakeholders, and integration of these data using a mixed-methods approach, could help to provide a more complete understanding of obstacles or facilitators to intervention uptake and health reporting in water intervention studies. Such qualitative insights could also aid the development of theory-driven behavior change interventions that address these factors head on, inform the adaptation of interventions to different contexts, and allow the nuances of study findings to be better understood.25,26
In 2016–2018, we performed a stepped-wedge cluster randomized trial assessing the health effects of improved water quality and access versus improved access alone at a community level in rural villages located in the Athani Taluka of northern Karnataka, India.27 Preliminary quantitative analyses indicated a low rate of intervention uptake and a lower than expected prevalence of reported diarrhea. Substantial differences in illness reporting were observed between clusters (villages), with a marked decline in diarrhea reporting over time in three villages compared with relatively stable rates of diarrhea reporting in the remaining village. We used these findings to inform the design and analysis of a qualitative study to help explain our quantitative findings and to inform future studies. Our primary objectives were to examine barriers and enablers to intervention uptake and health reporting. We used the COM-B framework,28 a conceptual framework widely adopted in implementation research which sees human behavior (B) as the interaction between physical and psychological capabilities (C), social and environmental opportunities (O), and motivators (M).
METHODS
Study setting.
This qualitative study was part of a mixed-methods sequential explanatory study (Figure 1), where a quantitative stepped-wedge cluster randomized interventional trial and a qualitative data component were conducted in two consecutive stages.29 The methodology and findings of the stepped wedge trial have previously been described.27,30 Briefly, we selected four villages, each with a total population of 2,000–3,000 residents using untreated river water as a primary drinking water source, and enrolled all consenting households. At study commencement, we delivered piped untreated river water (control condition) to newly installed water storage tanks in all villages simultaneously. We then sequentially delivered riverbank filtration-treated water (intervention condition) to tanks in each village in a random order at 12-week intervals. Storage tanks (“project tanks”) were 2,000 or 3,000 L capacity plastic tanks (Sintex Industries), each designed to supply 25–30 households. Although blinding was not possible, we did not overtly tell participants (“householders”) when the switch from control to intervention occurred. Data collectors (“surveyors”) conducted a baseline health survey (timepoint zero, T0) and delivered hygiene and safe water storage education before the commencement of the study. They also collected health outcome data through five household-level surveys (T1–T5) at 12-week intervals, and reinforced educational messages at each timepoint. Surveys were conducted by surveyor pairs, with three pairs assigned to each village (24 surveyors in total) for the duration of the trial. We deliberately recruited surveyors from the study district; all were fluent in the local language and had a bachelor’s degree (men) or a minimum of 10 years of formal schooling (women).
Temporal summary of project stages and activities. SW-CRT = stepped-wedge cluster randomized trial; T0 = timepoint zero; T1–T5 = timepoints 1 to 5.
Citation: The American Journal of Tropical Medicine and Hygiene 102, 3; 10.4269/ajtmh.19-0486
Temporal summary of project stages and activities. SW-CRT = stepped-wedge cluster randomized trial; T0 = timepoint zero; T1–T5 = timepoints 1 to 5.
Citation: The American Journal of Tropical Medicine and Hygiene 102, 3; 10.4269/ajtmh.19-0486
Temporal summary of project stages and activities. SW-CRT = stepped-wedge cluster randomized trial; T0 = timepoint zero; T1–T5 = timepoints 1 to 5.
Citation: The American Journal of Tropical Medicine and Hygiene 102, 3; 10.4269/ajtmh.19-0486
We used findings from a preliminary analysis of T1–T4 survey data to inform the design and analysis of the qualitative explanatory study. This study aimed to provide insight into 1) the low observed rate of intervention uptake in the stepped-wedge trial through a qualitative exploration of the drivers of household water choice and the barriers and enablers to the uptake of tank water and 2) the low observed diarrhea prevalence and differences in village reporting trends through a qualitative exploration of barriers and enablers to health reporting. The study had two components—focus groups or semi-structured interviews with selected households and focus groups with surveyors—and was conducted in January 2018, immediately after the quantitative trial. We report our qualitative explanatory study in line with the consolidated criteria for reporting of qualitative research (COREQ)31 and include the COREQ checklist as Supplemental Appendix 1.
Methodological orientation.
The COM-B model is a conceptual framework developed by Michie and others28 following an evaluation and synthesis of 19 existing behavior change frameworks. At the center of the framework is a “behavior system” involving three essential components—capability (C), opportunity (O), and motivation (M)—that interact to generate behavior. The COM-B model allows identification of physical and psychological factors (capability), environmental and social contexts (opportunity), and reflective and autonomic processes (motivation) that may act as barriers or enablers to a specific behavioral target.28
Data collection.
Surveyor focus groups.
All surveyors involved in data collection were invited to participate in one of four focus groups according to their allocated village. Surveyors were sent a letter of invitation and a written explanatory statement. Participation was voluntary, with attendance taken as consent to participate. A question guide containing open-ended questions was developed and piloted with in-country research staff. Questions were designed to explore surveyors’ perceptions and beliefs about participants’ engagement and health reporting, and the ways in which they had approached participants and solicited answers during study surveys. Questions were mapped to the domains of the COM-B framework (Tables 1 and 2). Because householders were asked during quantitative surveys “Has anyone in the household suffered illness/sickness of any kind in the past week?”, with subsequent questions about specific symptoms only asked if they answered yes, we were also interested in exploring knowledge, understanding, and beliefs about illness and the impact the question structure may have had on health reporting. Focus groups were held at our field office or in meeting areas within study villages and were conducted in Kannada (the local language) by three bilingual (Kannada/English) local researchers who were not directly involved in surveyor recruitment: a male moderator, female facilitator, and male scribe. Two female English-speaking researchers also attended and observed focus groups, documenting body language and interpersonal interactions. Following receipt of verbal consent to audiotape, focus groups were audio-recorded and field notes were taken by the scribe and English-speaking researchers. A light lunch was provided to participants as compensation for participation.
Mapping of surveyor and household focus group questions about barriers and enablers to intervention uptake to the COM-B domains
| Household focus group | Surveyor focus group | Questions/statements |
|---|---|---|
| Capability: the individual’s psychological and physical capacity to engage in the activity concerned. It includes having appropriate knowledge and skills | ||
| ✓ | How do you choose which water to drink? | |
| ✓ | How do you identify water of good quality? | |
| ✓ | What do you do to ensure that your drinking water is safe? | |
| ✓ | How does the quality of your drinking water affect your health or the health of your children? | |
| ✓ | What connection do householders see between water and health? | |
| ✓ | What do people in the village say about the quality of project tank water? | |
| Opportunity: the factors that lie outside the individual that make the behavior possible or prompt it | ||
| ✓ | What (if anything) prevents you from collecting water from the project tank? | |
| ✓ | What have you observed regarding the collection of project tank water? | |
| ✓ | What do people in the village say about the location of the project tanks? | |
| Motivation: reflective and automatic mechanisms that activate or inhibit behavior. It includes habitual processes, emotional responding, and analytical decision-making | ||
| ✓ | Which water do you prefer to drink and why? | |
| ✓ | What feelings/thoughts do you associate with project tank water? Have these changed over time? | |
| ✓ | What feelings/thoughts do you associate with water from the reverse osmosis facility? Have these changed over time? | |
| ✓ | What do other people in your village think about project tank water? | |
| ✓ | What have you heard householders say about the water in the project tanks? | |
| ✓ | How has the availability of a reverse osmosis water factory in the village impacted attitudes toward the project tank water? | |
| ✓ | Do you think householders would be willing to pay for tank water? | |
Mapping of surveyor and household focus group questions about barriers and enablers to health reporting to the COM-B domains
| Household focus group | Surveyor focus group | Questions/statements |
|---|---|---|
| Capability: the individual’s psychological and physical capacity to engage in the activity concerned. It includes having appropriate knowledge and skills | ||
| ✓ | ✓ | Can you explain what the term illness/sickness means to you? |
| ✓ | ✓ | Can you explain what the term diarrhea means to you? If you had diarrhea, would you say you were sick/ill? |
| ✓ | How do householders understand the term illness/sickness? What does it mean to them? | |
| ✓ | How do householders understand the term diarrhea? | |
| ✓ | How often did householders ask for further explanation of questions? Can you give an example? How did you respond? | |
| Opportunity: the factors that lie outside the individual that make the behavior possible or prompt it | ||
| ✓ | Can you explain how you approached and asked the questions about health? | |
| ✓ | How did you assess whether people understood the questions? | |
| Motivation: reflective and automatic mechanisms that activate or inhibit behavior. It includes habitual processes, emotional responding, and analytical decision-making | ||
| ✓ | Can you describe any differences you noticed in the way that people responded to survey questions? Change over time? | |
| ✓ | Can you describe any differences you noticed in the willingness of householders to answer different types of questions? Change over time? | |
| ✓ | What did you observe about householders’ attitudes toward you, the survey or the project? Change over time? | |
Household focus groups.
Selection of households for focus groups was purposive, based on differing characteristics (village, household size, socioeconomic status, proximity to tanks, reported intervention uptake, and preferred drinking water source) determined from quantitative data. We conducted focus groups until we reached data saturation; this was determined when the analysis indicated that the focus groups were explaining the quantitative findings and the data from different focus groups were generating the same themes. Our approach to data collection from households was flexible. At each selected household, a written explanatory statement was provided and verbally explained to all household members and any additional study participants (family members or friends) who were present before commencement of the discussion. All those aged > 14 years who provided verbal consent were invited to voice their opinions in a focus group discussion. Where only one household member was present, a semi-structured interview was conducted. Focus groups were conducted in participants’ homes by the same research team as the surveyor focus groups. A question guide containing open-ended questions was developed and piloted with in-country research staff. Questions were designed to explore perceptions and beliefs about water and health, drivers of household water choices, and barriers and enablers to intervention uptake, and were mapped to the domains of the COM-B framework (Tables 1 and 2). Verbal consent to audiotape was sought before commencement. Participating households were provided with a water storage container at the end of the focus group as compensation for participation.
Data analysis.
Focus group audio recordings were transcribed verbatim and translated from Kannada to English by an independent transcription service. Bilingual researchers who conducted focus groups checked transcripts against audio recordings to validate the data. Qualitative data were coded and analyzed in NVivo (Version 12, QSR International, Melbourne, Australia) by S. L. M., with inductive approaches using open, axial, and selective coding used to identify and explore emerging themes. Deductive approaches were also used to explore themes relating to intervention uptake and health reporting using the COM-B framework.28 A 20% sample of transcripts was double coded by a second researcher (J. O.) to check for consistency in coding and theme development. A process of triangulation was applied at the interpretation stage of the analysis, whereby qualitative findings from household and surveyor groups and findings from quantitative surveys were considered to determine whether they were convergent, complementary, or contradictory.32 Illustrative participant quotes were selected to support results and are presented with an additional text for clarification placed within square brackets as necessary.
Ethics.
Ethics approval was obtained from the Monash University Human Research Ethics Committee in Australia (CF/15/522 2015000248) and the Energy and Resources Institute Ethics Committee in India, and the study was registered with the Australia New Zealand Clinical Trials Registry (ACTRN12616001286437).
RESULTS
Study participants.
Baseline demographic characteristics of households enrolled in the stepped-wedge trial have previously been described.27 A summary of qualitative research activities and participants is provided in Table 3. All householders invited to participate in this qualitative study consented. We conducted 20 focus groups and one semi-structured interview with householders, involving 50 participants from 28 households across the four villages. Selected households ranged in size from 1 to 13 persons and were evenly distributed across the four study villages. Between two and six participants were present at each focus group (median = 2), and the average duration was 39 minutes (range: 28–50 minutes). The single semi-structured interview was conducted with a woman who lived alone. Hereafter, we collectively refer to focus groups and/or semi-structured interviews involving householders as “household focus groups.” We conducted four focus groups involving 17 of the 24 surveyors; at least one member of each pair attended. The remaining seven surveyors declined to participate, citing other work commitments. Each focus group had 3–6 participants, and the average duration was 85 minutes (range: 61–104 minutes).
Summary of research activities and participants
| Activity type | Participant(s) | Total duration | |||
|---|---|---|---|---|---|
| Description | Number | Age (years), mean (range) | Male sex, n (%) | ||
| Household focus group (n = 20) or semi-structured interview (n = 1) | Household members (aged ≥ 14 years) from 28 households | 50 | 40.7 (15–75) | 22 (44%) | 13 hours 17 minutes |
| Surveyor focus group (n = 4) | Research assistants (“surveyors”) | 17 | 25.5 (19–49) | 16 (94%) | 5 hours 43 minutes |
Intervention implementation and uptake.
Implementation and uptake of our water intervention is described in detail in our quantitative article.27 Briefly, low intervention uptake rates were observed, potentially explained by the unexpected introduction of a competing water supply intervention (construction of reverse osmosis water facilities in study villages just before trial commencement) and issues with intervention fidelity (lack of continuous water supply to some tanks because of electricity shortages).
Barriers and enablers.
In the following sections, we first describe the key themes emerging from the analysis of barriers and enablers to intervention uptake. We then describe the key themes emerging from the analysis of barriers and enablers to health reporting. In each section, results are reported thematically according to the domains of the COM-B framework (“capability,” “opportunity,” and “motivation”), with householder and surveyor responses combined under the relevant headings. Dominant themes within the data (those that were discussed in multiple focus groups and across different villages) are designated as “major themes”; less dominant themes (those only discussed within one village or in one or two focus groups) are designated as “minor themes.”
Barriers and enablers to intervention uptake.
Key themes emerging from the analysis of barriers and enablers to intervention uptake are summarized in Table 4, with each theme mapped to the relevant domain of the COM-B framework.
Mapping of barrier and enabler themes for uptake of intervention (project tank water)*
| COM-B domain | Themes and subthemes | |
|---|---|---|
| Capability | Barrier | Distorted perceptions of water-related health effects (HH, S) |
| Belief that new water source will cause illness | ||
| Perceived lack of risk of adverse water-related health effects | ||
| Erroneous beliefs about the cause of diarrhea | ||
| Enabler | Knowledge of water-related health risks (HH) | |
| Perceived risk allowing quality to outweigh other considerations (cost, convenience, aesthetics) | ||
| Education and advice from health professionals | ||
| Educated women | ||
| Younger generation as catalysts for change | ||
| Opportunity | Barrier | Lack of convenience (HH, S) |
| Other more convenient sources available | ||
| Intermittent water availability/lack of continuity, not available during work hours | ||
| Enabler | Lack of cost (HH) | |
| Social opportunity (HH) | ||
| Proximity (HH, S) | ||
| Motivation | Barrier | Resistance to change (HH) |
| Entrenched habits and beliefs | ||
| Lack of aesthetic appeal (HH, S) | ||
| Taste of other sources preferred | ||
| Use of plastic tanks perceived to affect taste and smell | ||
| Enabler | Perception of good quality (HH) | |
| Perception of health benefit following adoption | ||
HH = household focus groups; S = surveyor focus groups.
* Sources from which themes were derived are indicated in brackets.
Capability.
Distorted perceptions of water-related health effects (major theme).
Stomach ache, headache, whenever we change water it happens. (Female householder, village 4)
Some householders did not perceive any risk of adverse water-related health effects. For example, those who consumed untreated river water during agricultural work believed they were not at risk of illness as they were “used to it.” Other householders believed adverse health consequences to be transient, and not concerning. As one man in village 4 explained, “When river water comes, we catch a little cold for a week and later we are fine.”
“Today we drink filter water and some other day we drink river water—nothing happens to us.” Some of them have this mentality. (Surveyor, village 2)
If their child has diarrhea, they say it comes because he roams in the sun… or because he eats sour food like tamarind. (Surveyor, village 1)
Knowledge of water-related health risks (major theme).
They [other household members] just eat and drink whatever we prepare. So whatever we decide they will agree Sir. So it is we who decide. (Female participant, village 1)
Women are of the opinion that we must only use clean water. (Male participant, village 2)
We used to go by two-wheeler [motorbike] even two years back to get [reverse osmosis-treated] water…. we have stopped drinking river water as it is dirty. (Female householder, village 1)
During the monsoon we compulsorily boil [river water] and during summer we sometimes boil… but during winter we consume as it is. (Male householder, village 3)
When children come for vacation, they can’t drink river water, so we get filtered water. (Female householder, village 2)
Loose motion (diarrhea) is serious… so we have to visit the doctor.. the doctor tells us to boil and drink the water. (Male householder, village 3)
Only when we are sick we do so [boil water] as we have no other option. If women boil and give, then we drink. After [we recover] again we drink cold [untreated] water. (Male householder, village 4)
For children and elders and all, if we boil and store and drink it is good…. our son has taught us this. He scolds us whenever he sees [us drinking untreated water]. (Female householder, village 3)
My elder daughter has done M.Sc. in chemistry. She tells us to use and drink clean water… she has created awareness whenever she has come here. (Male householder, village 2)
Opportunity.
Lack of convenience (major theme).
A few say it [tank water] is of no use as it is so far off. (Surveyor, village 1)
They would be happy if it was supplied directly to standpipes. (Surveyor, village 3)
They curse and ask [for the tank] to be filled. (Male participant, village 1)
We got a scolding for not supplying water. (Surveyor, village 1)
One tap leaks and it is repaired… another day children would have broken another. Some person should be committed to do this job and keep the water supply continuous. (Female householder, village 3)
Nobody stays at home continuously. Most of them work in the fields. Wherever they get water they drink. Be it river water or bore, they drink. (Surveyor, village 2)
Lack of cost (minor theme).
The lack of cost associated with the tank water was reported by a number of householders as an enabler to intervention uptake. Adopters of tank water reported saving money on candle filters and/or fuel (used to boil water). However, the lack of cost did not appear to be a compelling reason to use tank water for those households who adopted reverse osmosis–treated water and were willing to pay for this.
Social opportunity (minor theme).
When other people started going, only then we went. (Female householder, village 3)
The people say if we drink river water there might be a problem. This filter water is better. (Female householder, village 4)
The people who drilled [the RBF well] told us that the water is tasty and told us to try. So we started using this sweet water. After bringing it [home] once, we continued. (Male householder, village 2)
Proximity (minor theme).
Those who are near to the tank will take the water. (Surveyor, village 4)
Motivation.
Resistance to change (minor theme).
The children may catch cold if there is change in [drinking] water. If water from a single source is used, then health can be maintained. If there is a change, then it will be a problem. (Female householder, village 2)
We get digestion problems when we change water.. but with river water, we will not have any symptoms. (Male householder, village 1)
Lack of aesthetic appeal (major theme).
Taste was an important factor for many householders in determining whether to drink a particular water source. As a man from village 1 explained, “We taste and see, and if we find it is good, we shall start using it.” Many householders reported a taste preference for river water, which was frequently described as “tasty.” Reverse osmosis water was typically described as tasteless. Opinions on the taste of tank water were mixed; some householders disliked it, describing it as “salty” or “sour,” others felt it was neutral or “tasteless,” and a select few liked the taste, finding it to be “sweet,” or in one case to taste “like Bisleri water,” referring to a popular brand of mineral water in Southern India. Surveyors reported hearing that the water tasted salty or sour, and felt that taste was a barrier to uptake. Because of the taste, some householders would only resort to drinking tank water when other more tasty water sources were not available. As one woman in village 3 explained: “It was a little hard, tasteless, not very sweet, but the river was dry and so we were drinking that.”
In summer plastic stinks… it gets heated up… so we don’t like drinking from it… It doesn’t quench the thirst.. We don’t store drinking water in plastic containers. (Female householder, village 3)
Perception of good quality (minor theme).
Householders were more likely to adopt a new water source if they perceived it to be of good quality. For some householders, quality was judged on the taste and appearance; as a woman in village 4 explained, “It should be clean to look at and tasty also.” For others, water was of good quality if it made them “feel good” or was not associated with adverse health effects; as one man in village 4 reported, “After drinking we had no health problems, so we started using that.” One household in village 1 reported that reverse osmosis water was of good quality because it had been produced using a high-tech process: “It is cleaned by machine,” and the household drank this water even though the taste was felt to be a “little sour.”
Barriers and enablers to health reporting.
Key themes emerging from the analysis of barriers and enablers to health reporting are summarized in Table 5, with each theme mapped to the relevant domain of the COM-B framework.
Mapping of barrier and enabler themes for health reporting*
| COM-B domain | Themes and subthemes | |
|---|---|---|
| Capability | Barrier | Variability in interpretation of what constitutes illness (HH, S) |
| Question interpretation and language (S) | ||
| Opportunity | Barrier | Short cuts to expedite survey completion (S) |
| Assumptions based on insider knowledge | ||
| Enabler | Surveyor initiatives to encourage reporting (S) | |
| Persistent attempts to elicit reports of illness | ||
| Motivation | Barrier | Disengagement from the study (S) |
| Weariness in answering repetitive questions | ||
| Perceived inaction by study team on health data already provided (S) | ||
| Wariness in disclosing sensitive information (HH, S) | ||
| Enabler | Reporting illness for the common good (HH) | |
HH = household focus groups; S = surveyor focus groups.
* Sources from which themes were derived are indicated in brackets.
Capability.
Variability in interpretation of what constitutes illness (minor theme).
Surveyors believed that householders generally perceived illness (sickness) as being “not well.” Although diarrhea was generally considered to constitute “illness,” some surveyors believed that relatively mild diarrheal symptoms were often considered trivial and might not be reported. When surveyors asked about illness, most householders responded with reports of symptoms such as fever, cough, cold, runny nose, diarrhea (loose motion), and vomiting. Similarly, householders in focus groups reported that symptoms such as cough, cold, fever, stomach ache, diarrhea, vomiting, or problems with digestion equated to illness. However, some householders had a very different interpretation, feeling that the term illness referred to physical ailments and injuries. As one surveyor from village 2 explained, “If we tried questioning them, they would not give us a report about vomiting or loose motions; they just told us about breaking limbs 6 months ago and so on.”
Question interpretation and language (minor theme).
Some of the questions they can answer, but others we have to explain and give options—only then can they answer. (Surveyor, village 4)
This question [about illness] they understood as physical damage… so we had to explain… we had to ask was there any illness due to water. (Surveyor, village 2)
Opportunity.
Shortcuts to expedite survey completion (minor theme).
Surveyor pairs were assigned households to survey at each timepoint and asked to conduct their surveys within a 6-week period. As many householders engaged in agricultural work were not home during the day, and surveyors were frequently engaged in other forms of employment, surveyors typically conducted surveys at times or on days when more people were at home. The need to complete surveys in a timely fashion appeared to impact on the fidelity of survey implementation, as some surveyors took shortcuts to expedite survey completion. For example, surveyors from village 4 reported that if they came across a group of householders sitting together in a public place, they would conduct surveys for multiple households concurrently.
Sometimes they [householders] say “you know it—you may write it yourself.” (Surveyor, village 1)
Sometimes about smoking they don’t tell… you tick that because you know. (Surveyor, village 4)
Surveyor initiatives to encourage reporting (minor theme).
No problem, just tell us, it won’t cost you anything to answer! (Surveyor, village 3)
Motivation.
Disengagement from the study (major theme).
Initially they answered the survey… later they were not interested. They asked us, “what is the benefit?” (Surveyor, village 2)
Our water didn’t reach them so they asked “when your water is not reaching us why do you ask questions?” (Surveyor, village 1)
Anyone who is close to a tank answered happily as they benefited… the ones who are far answered a little sadly. (Surveyor, village 2)
[During the survey] their enthusiasm decreases… they ask us “how many more questions are left” [to answer]. (Surveyor, village 1)
If they are free, they tell but if they are busy, they get irritated. (Surveyor, village 4)
Perceived inaction by study team on health data already provided (major theme).
There were a few complaints. When we came last time they gave us the report [of symptoms of illness] and what is the use? No use na? What did we do in taking their reports? Nothing.. After the first survey they expected some solution. (Surveyor, village 2)
They said ‘you come and ask about our sickness and go but what is the use [of reporting] if there is no response from your side’? (Surveyor, village 3)
They went to hospital right, they might have felt that even if they tell us [their symptoms] there is no use. (Surveyor, village 3)
Wariness in disclosing sensitive information (minor theme).
Sometimes they fear what we would do in taking these data. So [when we ask if anyone has suffered illness] they say no. (Surveyor, V4)
During household focus groups, one male householder from village 4 expressed reluctance in disclosing health information, particularly when relating to the presence of blood in bodily secretions (e.g., in stool or sputum).
Reporting illness for the common good (minor theme).
During focus groups, most householders appeared to be happy to answer questions about their health. Some householders perceived that sharing information about their health had the potential to benefit them or their community. For example, one woman from village 1 described a sense of social responsibility in reporting symptoms: “If they are asking about health, then why should we hide [our symptoms]? If we hide, then it will be a problem for all of us.”
DISCUSSION
This theory-informed qualitative explanatory study identified important barriers to intervention uptake and health reporting in a water intervention trial in rural India. The mixed-methods approach to data analysis (through triangulation of quantitative and qualitative data) provided new insights into quantitative trial findings. Qualitative findings also provide broader insight into obstacles and facilitators to implementing and evaluating community water interventions, and ways in which these might be overcome or exploited to improve intervention uptake and achieve better health reporting in future studies.
Barriers to intervention uptake were multifactorial and included inability to perceive a health benefit in changing existing water practices, lack of convenience, and absence of motivation due to entrenched habits and beliefs, fear of the new and limited aesthetic appeal. Enablers to intervention uptake included knowledge of water-related health risks, proximity to tanks, social opportunity, and motivation through perception of good quality. Despite the availability of improved water sources in the form of both riverbank filtration-treated water and new reverse osmosis water treatment facilities, many householders expressed an ongoing preference for river water. In addition, households frequently reported contemporaneous use of more than one drinking water source, or switches between water sources according to season, preference, convenience, and perceptions of quality. Health gains from an improved water source are likely to be limited where consumption of lower quality sources continues. To maximize health gains, it is therefore necessary to work toward solutions that are sufficiently acceptable to allow exclusive use and/or that minimize the likelihood of nonadherence by reducing the burden on the user to change behavior.10,33,34 Observed inconsistencies in health beliefs relating to water were consistent with previous studies in rural India, showing that beliefs about the cause of diarrhea vary widely, and consumption of unsafe water is often linked to other unrelated symptoms such as cough and cold.35,36 Although education about the negative health consequences of contaminated water consumption by health professionals was often a catalyst for the adoption of safe treatment practices or use of a safe source, such practices often proved difficult to sustain. These observations reinforce that provision of safe water in the absence of strategies to promote behavior change is insufficient to alter entrenched habits and beliefs.
Perceptions of water-related health effects were an important barrier to intervention uptake identified in this study. We labeled perceptions (e.g., that consumption of untreated river water would not result in deleterious health effects) as “distorted” if they did not conform to the current scientific understanding about the risk of enteric pathogen transmission through contaminated water. Nevertheless, findings from recent high-quality water intervention trials in LMICs have shown mixed effects on child diarrhea despite high implementation fidelity and intervention uptake, which has increased uncertainty regarding the efficacy of water interventions in preventing diarrhea.17–19 These findings of themselves do not refute the biological plausibility that improved water quality can reduce diarrhea, but they do suggest that low-cost water interventions currently available to rural dwellers in LMICs might not sufficiently reduce the high levels of fecal contamination in household environments to result in an impact on health.22,37 Such findings, if not appropriately portrayed to at-risk populations, could potentially lead to mixed messages about the health benefits of water treatment, which could further impact the uptake of water interventions.
We approached our trial design from a technological and regulatory mindset, rather than a behavior change mindset. Hydrogeologic characteristics for riverbank filtration system installation and preexisting relationships with Karnataka municipal authorities established during a previous World Bank study38 were primary drivers for selection of our village study sites. Intervention planning discussions were held with government and local village leaders, but not with householders themselves. In retrospect, had we engaged with householders at the outset to identify capabilities and motivators, some relevant modifications to intervention delivery and strategies to maximize uptake could potentially have been implemented, such as addressing palatability and geographical tank coverage. Some factors remained outside our control, including introduction of a competing water supply (reverse osmosis facilities) by the state government, but changes in policy are always a risk with long trials where the process of planning to completion often takes 3–5 years. Although we delivered safe water storage and hygiene education, we did not attempt to influence uptake or adoption of our water intervention, in part because we did not want to alert participants of the switch from untreated river water to riverbank filtration-treated water in the stepped-wedge design. The absence of promotional and participatory activities relating to intervention delivery meant that many households were not appropriately motivated to use the systems introduced. Greater vigilance in implementation fidelity monitoring and rapid response mechanisms throughout the trial, such as those demonstrated in trials like WASH Benefits,39 may have improved uptake of our intervention.
Barriers to health reporting included reporting fatigue, perceived inaction on health data already provided, and inconsistencies in survey administration including conducting surveys in public places. Enablers included a sense of social responsibility in reporting health conditions to benefit family and community. Higher levels of education generally correlated with a better understanding of health states, respect for medical advice, and the importance of consultation for medical conditions. In village 3, surveyor initiatives to maintain engagement and encourage reporting appear to have helped elicit ongoing illness reports. Had an exploratory qualitative study been performed before our trial, we might have been better able to design and implement our health survey to maximize sustained health reporting (e.g., by providing nominal value culturally appropriate incentives to participating households), reduce variability in concepts of illness, and potentially minimize deliberate (to terminate the survey quickly) or unintentional (due to recall bias) underreporting of symptoms. The use of a 7-day recall period may also have impacted on health reporting, although differing opinions exist as to the optimal recall period for subjective illness reporting methods; some researchers discourage the use of recall periods longer than 2–3 days to avoid underestimating incidence and selectively capturing more severe episodes,40,41 and others suggest that a 7-day recall period is optimal for statistical efficiency.42,43 In contrast to other studies, where a household “index case” is chosen for monitoring,17 we asked a single respondent to report illness episodes for all household members which may also have impacted on reporting rates.
Locally recruited surveyors had excellent knowledge of local dialects and village settings and employing local community members was designed to build capacity and increase acceptability. However, externally recruited surveyors may have been more objective and consistent in survey administration, reducing both observer and responder biases. Our findings highlight the need for thorough and ongoing surveyor training, including cultural and language education, and systems to measure and monitor surveyor performance. Relevant markers of surveyor performance might include monitoring survey duration (easily obtainable with electronic survey delivery methods), GPS location (to determine where surveys are being conducted), survey completeness, and comparative rates of health reports elicited.
There are important limitations to the conclusions that can be drawn from this research. First, we studied a community-based water intervention delivered to four rural villages in a single region of India, and it is possible that barriers and enablers to intervention uptake and health reporting identified here might not be relevant to other settings. Second, although individuals were encouraged to express alternate viewpoints through probing questions, there is potential for focus groups to generate confirmation bias and “socially desirable replies,” although this was overcome to an extent through triangulation of different data sources. Third, the use of purposive sampling when selecting households for focus groups may have led to selection bias, although we did our best to ensure that households with differing demographics and preferred water sources were represented. Finally, qualitative data were analyzed in English based on transcripts translated from Kannada. Although we used a professional transcription and translation service, and bilingual researchers involved in conducting focus groups checked transcripts against audio recordings for validation, it is possible that some nuances of meaning were lost in translation.
Our use of the COM-B model and a sequential explanatory mixed-methods study approach allowed us to better understand trial results, identify implementation and evaluation barriers, and consider ways they might be overcome in future studies. Our findings highlight the vital need to collect qualitative exploratory data before trial commencement to fully understand local contexts and inform the design and delivery of the intervention and strategies to maximize and maintain uptake, adherence, and participation. Our findings also support recent calls to improve reporting of intervention fidelity and outcome measurement, and integrate process evaluations into trials of complex interventions.22,23,44–46 Application of implementating science frameworks to these trials, as used in other public health disciplines, could further allow identification of key barriers and enablers to intervention delivery and utilization, and support understanding of how to replicate and scale successful interventions.23,46–48 Future trials should aim for high coverage and exclusive use of intervention water supplies, using structured, real-time fidelity monitoring and response systems, to detect and rapidly correct barriers to sustained intervention uptake.39,46 Surveyor training and monitoring of survey implementation are also important, combined with a suitable timely response system to address lapses as they occur.
Acknowledgments:
We thank all the staff at the Energy and Resources Institute in India, particularly Kavita Patil and Fraddry D’Souza for coordinating personnel, venue and travel arrangements, and transcription and translation services; and Veerabaswant Reddy for moderating focus groups. We also thank our collaborators Thomas B. Boving (University of Rhode Island, USA) and Andrew B. Forbes (Monash University, Australia) for their participation and feedback in workshop discussions and teleconferences. Finally, we thank the surveyors and householders who took part in this study for their time, patience, and candor.
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