- Open Access
Burden of mental health symptoms and perceptions of their management in in-centre hemodialysis care: a mixed methods study
Journal of Patient-Reported Outcomes volume 5, Article number: 111 (2021)
We aimed to describe (1) depressive and anxiety symptom burdens reported by adults on in-centre hemodialysis in Northern Alberta, Canada and (2) patients’ and nurses’ perceptions of managing such symptoms using routine patient-reported outcome measures (PROMs).
A longitudinal mixed methods approach was employed. Cluster randomized controlled trial data exposed the prevalence of positive screens (scores ≥ 3) for depressive (PHQ-2) and anxiety (GAD-2) symptoms. A descriptive qualitative approach was used to understand patients’ and nurses’ perceptions of managing these symptoms using the ESAS-r: Renal and EQ-5D-5L. Using purposeful sampling, patients and nurses were invited for interviews. Field notes were documented from 6 dialysis unit observations. Patients’ responses to open-ended survey questions and nurses’ electronic chart notes related to mental health were compiled. Thematic and content analyses were used.
Average age of patients (n = 408) was 64.0 years (SD 15.4), 57% were male, and 87% were not working; 29% screened positive for depressive symptoms, 21% for anxiety symptoms, and 16% for both. From patient (n = 10) and nurse (n = 8) interviews, unit observations, patient survey responses (n = 779) and nurses’ chart notes (n = 84), we discerned that PROMs (ESAS-r: Renal/EQ-5D-5L) had the potential to identify and prompt management of mental health concerns. However, opinions differed about whether mental health was within kidney care scope. Nonetheless, participants agreed there was a lack of mental health resources.
Prevalence of depressive and anxiety symptoms aligned with existing literature. Tensions regarding mental health management highlight the need for systemic decisions about how routine PROM use, including mental health assessment, may be optimized to meet patients’ needs.
Depression and anxiety share similar symptoms, and commonly co-exist, both in the general public and for people living with kidney failure . The burden of depression and anxiety to patients with kidney failure on dialysis and the healthcare system is substantial. Between 20 and 40% of adults on dialysis have depression  compared to 4.4% in the global, general population . Depression among those with kidney disease is associated with poor quality of life (QOL) [4, 5], lower odds of transplantation , and increased mortality . Depressed dialysis patients have more frequent emergency department visits , increased risk for hospitalisation , and longer hospital stays  than non-depressed dialysis patients. The prevalence of anxiety for people on dialysis is less well known, with estimates ranging between 11 and 52% , vastly different than the global, general population prevalence of 3.6% . Like depression, anxiety among those with kidney disease is associated with lower QOL [5, 12, 13]. Despite the high prevalence for those on dialysis, depression and anxiety remain under-recognised and under-managed .
People with kidney failure have prioritized mental health (MH) care, not only for effective overall management , but also as a critically important area of research [15, 16]. Patient-reported outcome measures (PROMs)  are used for patients to self-report outcomes relevant to their QOL and for integration in kidney care [18,19,20]. Screening of depression using PROMs is mandated for all dialysis centers in the USA . Currently, however, there is a knowledge gap in how self-reported MH symptoms can be optimally addressed for patients on dialysis. To address this gap, our aim was to (1) describe the burden of depressive and anxiety symptoms reported by adults on in-centre hemodialysis in Northern Alberta, Canada, using PROMs, and (2) understand patients’ and nurses’ perceptions of managing such symptoms.
We employed a concurrent, longitudinal, mixed-methods research design [22,23,24,25]. This was a secondary analysis as part of the “Evaluation of routinely Measured PATient reported outcomes in HemodialYsis care (EMPATHY) trial”, a multi-centre cluster randomized controlled trial described elsewhere . Each cluster (i.e., in-centre hemodialysis unit) was randomized to one of four study arms: (1) patients complete the Edmonton Symptom Assessment System, revised: Renal (ESAS-r: Renal) [27, 28], (2) patients complete EQ-5D-5L , (3) Patients complete both ESAS-r: Renal and EQ-5D-5L, (4) Usual care (i.e., control group) (Fig. 1). Nurses were trained and delivered the intervention (Fig. 2) which encompassed: (1) Screening patients with allocated PROM(s) every 2 months; (2) Reviewing and discussing PROM(s) scores and; (3) Decision supports and patient handouts (i.e., treatment aids) were available to manage physical and/or mental symptoms at the discretion of their care providers. Study outcomes included the Patient Health Questionnaire-2 (PHQ-2)  and the 2-item Generalized Anxiety Disorder (GAD-2)  were distributed to all patients, regardless of study arm, at baseline, 6 months, and 12 months. The study outcomes survey (i.e., PHQ-2 and GAD-2) was completed anonymously and was not fed back to clinicians for clinical use. While the PHQ-2 and GAD-2 are also PROMs, they are not referred to as such since they were study-specific outcomes that were not integrated into the clinical care pathway. The term ‘PROM’ as used in this paper refers only to the ESAS-r: Renal and/or EQ-5D-5L.
EMPATHY was implemented in 17 in-centre hemodialysis units in Alberta Kidney Care-North, encompassing over 900 patients. Eligible patients included those undergoing chronic hemodialysis, ≥ 18 years, and willing/able to complete surveys. Nurses were responsible for administering ESAS-r: Renal and/or EQ-5D-5L by paper, entering results into the electronic medical record, reviewing the report card (i.e., PROMs scores in relation to previous scores), and following-up on results (i.e., discussing patients’ scores and treatment plan, as appropriate). We used baseline PHQ-2 and GAD-2 data (September 2018 to January 2019) as MH variables to estimate the prevalence of depressive and anxiety symptoms, which assess presence and frequency of these symptoms “over the last two weeks”. For each tool, a total score of ≥ 3 (range: 0–6) indicates presence of depressive or anxiety symptoms warranting further assessment [30, 31]. Total scores were categorized into present (PHQ-2 and GAD-2 ≥ 3) versus absent (PHQ-2 and GAD-2 < 3) symptoms. Descriptive statistics were computed for demographic and MH variables. Quantitative analyses were performed using STATA 14.2 .
We used a descriptive qualitative approach [33, 34] to understand participants’ perceptions managing MH symptoms. Data sources included: interviews with patients and nurses, field notes from dialysis unit observations, patients’ open-ended survey responses, and electronic chart notes. For interviews and dialysis unit observations, we purposefully sampled patients and nurses across urban and rural settings, unit size, and models of care (i.e., use of a primary nurse versus none) to ensure diversity of perspectives. Patients who spoke English and all nurses were eligible to participate. For interviews specifically, we recruited nurses and patients via posters in the units. Interested participants contacted the research team. Additionally, several patients provided consent-to-contact. During site visits in dialysis units, we notified people on the units of observations through a summary outlining the purpose of the study posted at the intake desk and distributed.
In interviews and/or observations, participants provided informed consent for interviews and could opt out of observations. Two trained qualitative researchers (LAW, HS), with no prior relationships with participants, conducted interviews and observations between March 2019 and December 2019, 6–12 months into the EMPATHY trial to ensure that patients and clinicians had sufficient exposure to routine PROM use in order to provide a rich description of their experiences. Interviews were conducted using a semi-structured guide (Additional file 1) by telephone (n = 12) or in-person (n = 6) according to participant choice or proximity, and ranged from 15 to 50 min. Three of the six in-person interviews were conducted in private isolation rooms. The other three in-person interviews were conducted in the main dialysis unit with patients’ consent and understanding that they did not have to answer any questions they did not want and they could stop the interview at any time. Interviews were digitally recorded, transcribed verbatim by a contracted transcriptionist service, and verified for accuracy (by HS). Observations ranged from 45 min to 4.75 h and were recorded using standardized forms (Additional file 1) and field notes. No personally identifiable information was collected. Types of activities of interest recorded during observations included descriptions of: (1) workflow processes related to ESAS-r: Renal and/or EQ-5D-5L use; (2) completion of ESAS-r: Renal and/or EQ-5D-5L; (3) interactions between patients and clinicians; and (4) decisions regarding clinical management related to ESAS-r: Renal and/or EQ-5D-5L use.
The remaining data sources (i.e., patients’ open-ended survey responses and nurses’ electronic chart notes) came from the EMPATHY trial which was approved to be conducted under a waiver of consent. We compiled patients’ responses to 2 open-ended survey questions from the EMPATHY trial, which were: (1) If you could make one change in the care you received, what would it be?; and (2) Any other suggestions to improve the quality of your care? In addition, we compiled nurses’ electronic chart notes related to MH. Longitudinal nursing chart notes from all EMPATHY study arms and accompanying PROM scores were reviewed (September 2018–October 2019). We compiled electronic chart notes related to MH using the search terms ‘mental health’, ‘anxiety’, ‘anxious’, ‘depression’, ‘depressed’, ‘PHQ’, and ‘GAD’.
Qualitative data were analyzed using thematic  and content  analyses. Three researchers (HS, KSM, LAW) used reflexive thematic analysis for interview, observation, and open-ended survey data [35, 37,38,39] in 3 stages: read and re-read the data; generated, applied, and iteratively refined codes and code definitions related to the research aim; and met regularly (every two weeks) to develop themes by grouping interrelated codes using memos and testing their accuracy by reviewing the raw data. We used summative content analysis for chart notes  and identified topics pertaining to PROM use, elements of treatment aid use (e.g., further screening using the PHQ-9 or GAD-7, social worker or physician referrals), and other non-EMPATHY specified supports. Two researchers (HS, LAW) conducted the content analysis together by reading the data, coding it with the topic guide, and resolving discrepancies. All qualitative data was managed using ATLAS.ti Version 8 .
We used well-established methods to ensure trustworthiness and rigour, including iterative cycles of data collection and analysis, maintained an audit trail using qualitative data analysis software, provided a rich description of the settings and participants to enable transferability of our findings to similar dialysis contexts, and reported our findings following the consolidated criteria for reporting qualitative research (COREQ) (Additional file 1) [41, 42]. The University of Alberta Health Ethics Research Board approved the EMPATHY trial (HREB reference #: Pro00077850) and qualitative study (HREB reference #: Pro00085021).
There were 408 (of 904) patients that completed the PHQ-2, GAD-2, and demographic survey at baseline (response rate 45%). Average age of patients was 64.0 years (SD 15.4), 57% were male, and 87% were not working. Nearly 30% screened positive for depressive symptoms (PHQ-2 ≥ 3) and 21% screened positive for anxiety symptoms (GAD-2 ≥ 3); 16% screened positive for both anxiety and depressive symptoms (Table 1).
We conducted interviews with 10 patients and 8 nurses. Half of patients were female, 60% were White, and ranged 33–78 years old. All nurses were female, worked in smaller community hospitals, and ranged 23–60 years old (Table 2). We conducted observations in 6 dialysis units representing 23 meaningful interactions between 9 nurses and 22 patients. Fleeting interactions were not recorded. Units observed varied by setting (i.e., rural or. urban), size, and EMPATHY study arm. We reviewed 779 open-ended patient survey responses collected in the EMPATHY trial (2 questions answered by 510 patients). We also reviewed the nurses’ chart notes for all 904 patients in the EMPATHY trial. Only 84 of these patients had nurses’ chart notes logged in the electronic medical record during the study period. Of these, 53 patients had a chart note about MH.
Three themes emerged related to PROM use (ESAS-r: Renal and/or EQ-5D-5L) and MH: potential identification and management, scope of dialysis care, and inadequate resources. Supporting quotes are provided with additional exemplar quotes in Table 3.
Potential identification and management of MH concerns through PROM use
PROM use had the potential to identify and prompt surface management of MH concerns, which might have been missed in usual care. Sometimes, completing PROMs made patients aware of MH symptoms beyond physical symptoms: “[PROMs] are good to get you to think about [MH symptoms]. The physical symptoms, I always mention those to the nurses and doctors. But you don’t really think of the mental side” (Patient/536/Interview). In study arms with PROMs, 53 patients had chart notes about MH. Of these, 51 patients were administered and completed PROM(s) (Fig. 3) while 2 did not. In the control arm (no PROM use), there were no MH chart notes. Thus, MH symptoms may not have been identified. PROM use also helped identify patient MH concerns that nurses had not previously known or asked about. Some nurses reported that PROM use made it easier to address MH issues with patients: “Depression, anxiety, that’s harder to bring up in day-to-day conversation. When it’s on the survey, I find [it’s] effective” (Nurse/11/Interview). While 53 of 904 patients had a MH chart note, this represents a small proportion (6%) given that patients screened positive for depressive symptoms (29%), anxiety symptoms (21%), or both (16%) at higher rates. Yet, considering that there were 53 MH chart notes of 84 total chart notes (63%), it is possible that nursing staff used other charting sources (e.g., paper charts) to document MH elsewhere.
Some patients described PROM use unnecessary because they told their providers if they experienced physical or mental symptoms, or were asked during usual care: “I tell the nurses and they can contact the doctor and do what has to be done. To do these surveys, it’s like, for what?” (Patient/544/Interview). Similarly, some nurses explained they knew which patients experienced issues without PROM use because they interacted frequently (Nurse/533/Interview). From their perspective, PROMs did not tell them anything they did not already know.
Upon identification of MH concerns, the EMPATHY intervention outlined decision supports for nurses (i.e., treatment aids) interacting with patients (Fig. 4). However, there was little evidence of deeper MH management beyond the predominant method of providing patient handouts on self-managing depression. Regardless, some nurses explained PROMs scores helped them understand the severity of patients’ MH symptoms: “It makes clear in our minds how much of a problem it is for the patient” (Nurse/533/Interview). Nonetheless, content analysis of chart notes revealed few instances of deeper MH management such as formal screening, referrals, or prescriptions (Fig. 3). Therefore, nurses were rarely prompted by PROM use to provide MH management beyond the use of patient handouts.
Varying opinions whether mental health is within scope of dialysis care
Participants’ views that MH pertained to dialysis care were in the minority and more often came from the perspectives of nurses. Some patients wanted to address MH during dialysis care saying, “nurses have to realize we might have problems with anxiety” (Patient/219/Survey) and requesting to “have someone to talk [to] about my depression” (Patient/124/Survey). One patient linked depressive and anxiety symptoms to dialysis: “Depression just comes with coming to dialysis all the time…Then that ties in with anxiety. You're going to feel anxious all the time” (Patient/538/Interview). Similarly, some nurses considered MH within the purview of dialysis care because patients have concerns about their condition and its treatment: “You see a lot of psychological issues working with dialysis patients…Because it’s a big change in life for many people” (Nurse/534/Interview). Another nurse explained she discusses dialysis-related symptoms with patients, including depression: “If [patients] score on pain, itching, or depression [items], I talk with them about any of the symptoms. If it’s something that’s related to dialysis or their kidney disease then I discuss it with the nephrologist and follow-up with the patient to see if there’s been any change” (Nurse/21/Interview). However, it was unclear how nurses assessed whether MH symptoms were or were not related to dialysis.
We found more evidence that nurses and patients viewed MH as having a limited role or being outside the scope of dialysis care. Some nurses and patients considered it appropriate to identify, but not manage, MH symptoms within dialysis. Of the 53 patients who had nurses’ chart notes about MH, when MH symptoms were identified through PROM use, 8 patients were encouraged by nurses to seek support outside dialysis, placing the onus on patients. Additionally, 17 patients pursued MH management outside dialysis or declined MH management from their dialysis nurse (Fig. 3).
More often, nurses indicated MH management was not an expected part of dialysis care by patients or nurses: “[Patients] aren’t seeing us about that, right? Like we’re not treating that exactly” (Nurse/534/Interview). Another nurse said patients did not want to discuss MH symptoms “with healthcare providers who are not specialists in that area” and if patients needed MH support, they “would seek that out somewhere that’s specific to that” (Nurse/13/Interview). Some nurses “didn’t like being put in the position to discuss MH especially as a dialysis nurse” (Nurse/13/Interview). During a unit observation, a nurse explained to the researchers that the nature of dialysis treatment made patients vulnerable, limiting their ability to choose whether to discuss MH management: “The social worker came to the unit to talk with the patient and she started crying…she had no opportunity to exit or end the conversation because she was hooked up to the machine… [I felt terrible] for putting this patient in such a position” (Observation/10).
Inadequate MH resources in dialysis
Participants agreed there were inadequate MH resources in the dialysis setting, limiting management. For example, 11 patients were referred to community MH resources (e.g., Primary Care Network, Health Link, Chaplain) outside the decision-support resources (Fig. 3) presumably because resources were unavailable, or nurses used their clinical judgement to access other resources. Some nurses explained that inadequate supports for MH in dialysis made them and, consequently, patients, uncomfortable addressing MH concerns. Participants identified 3 necessary resources to adequately address MH concerns: access, knowledge, and privacy.
When being referred to MH resources, participants described limited or no access to providers, including long wait-times. For example, “with MH it’s hard to get [patients] in. You have to wait for them to be seen by somebody” (Nurse/12/Interview). Similarly, a patient said, “[I] asked for help from a social worker when I was in a very bad place and was not contacted” (Patient/142/Interview). One nurse recounted: “[The nephrologist] would say, ‘can you get the social worker involved? Then [they] can navigate them’. I mean, I’ve already thought of all that” (Nurse/12/Interview).
Nurses described limited knowledge and training in MH. A nurse described being “way over my head” and that she “didn’t feel confident” (Nurse/13/Interview) in MH management. Therefore, nurses recommended “more [training] on depression and knowing how to help [patients]” (Nurse/12/Interview). Nurses receive technical training in dialysis care “but then no training on how to approach a patient and work through screening for suicide…That would be the place you need the most training” (Nurse/13/Interview). Furthermore, there was a knowledge gap of what to do when recommended resources were unavailable and needing to be “aware of local resources and what your patients have access to in town” (Nurse/13/Interview).
Lastly, participants identified limited privacy in dialysis units as a barrier to address MH: “I haven’t found one unit where I work that has a physical space that would be appropriate to have conversations in a safe environment that is free from other people overhearing things that are close to people’s heart… [related to] depression, anxiety and wellbeing” (Nurse/13/Interview). Patients did not want others overhearing discussions of MH concerns: “Just privacy…because our room is so small, patients are so close and some did not want to discuss their issues” (Nurse/12/Interview). Patients also described limited privacy during dialysis: “[You] never get alone time with doctor or nurses, your neighbour hears all” (Patient/151/Survey) and “more privacy and space [is needed]” (Patient/129/Survey). While patients did not explicitly describe privacy as a requirement to address MH concerns, they explained it would improve their quality of care.
We found a high burden of depressive (29%) and anxiety (21%) symptoms or both (16%) in this dialysis population. PROM use at point-of-care had the potential to identify and prompt basic management of MH concerns, but its use was limited. Participants had various opinions about whether MH was within the scope of dialysis care but agreed there were inadequate MH resources. Three tensions between these themes (Fig. 5) will be discussed, along with how our findings contribute to the literature.
The burden of depressive and anxiety symptoms in this dialysis population was similar to the international literature [2, 11]. While the PHQ-2 and GAD-2 identified symptoms for up to 29% of patients, only 6% (53/904) had nurses’ chart notes documenting follow-up. An inherent tension with PROM use at point-of-care is that they may identify issues that do not traditionally “fit” with the typical culture of clinical practice [43,44,45,46]. For example, we found PROM use could identify MH burden that might otherwise have been missed. Yet many nurses believed patients did not want to discuss MH symptoms within the context of dialysis, due to the perception of clinicians and patients that MH care was not expected, the vulnerability of patients during dialysis, and the assumption that MH was not within dialysis clinicians’ scope of practice. Through the lens of “dialysis-centred care” , clinicians may not see MH within their scope. Conversely, a recent kidney patient-driven research project within Northern Alberta identified that patients requested MH as part of dialysis care . A finding not previously identified in the renal literature is that while holistic care, including MH, is broadly espoused , it may not be supported by the system, leaving clinicians and patients in conflict about MH management.
While all healthcare professionals receive basic education in MH as a part of their training, PROM use illuminated the tension that MH burden is an issue that “doesn’t belong” in traditional healthcare organized by body parts (e.g., kidney, cardiac, neurology). In our study, nurses pointed to their need for supports including further training, multi-disciplinary approaches, and systemic supports for patient follow-up when MH issues were identified. A similar study in Ontario found that clinicians were more comfortable assessing rather than actively managing psychosocial symptoms and identified limited resources (e.g., social worker) and long waits for specialist appointments . Stigmatization of MH  may reinforce views that privacy is needed for discussions, but individualized care identifies that patients may have different views on privacy . Further, healthcare staff themselves may have unconscious bias and associate a stigma with mental illness , such that healthcare resource allocation  may be influenced as an unintended consequence. Organizations must consider whether MH is within scope, and what structural supports are needed to guide MH management in dialysis care. These findings highlight the need for system supports of MH in dialysis care, a finding previously unexplored. Other clinical specialties, such as diabetes , may provide insights and guidance in future MH management.
Given the view that MH “doesn’t belong” in dialysis care, and that adequate supports are not in place for such care, dialysis may be considered an unconducive setting for MH management. Findings from our study highlighted that the onus was sometimes placed on patients to seek MH supports outside dialysis. May  and Greenhalgh  argue that framing self-management of chronicity places further burden on patients, shifts work from clinicians to patients, and raises ethical questions. While some dialysis patients may have the acumen for self-advocacy, all cannot be presumed to do so, particularly if the burden of MH itself impacts such skills. Patients acknowledge self-advocacy as a coping strategy of empowerment, but it can also threaten their mental wellbeing and that of their support network when they feel alone . The high burden of mental illness may necessitate additional healthcare providers with MH expertise to dialysis settings . In the meantime, kidney organizations may benefit from coordinated discussions with multidisciplinary clinicians not only about assessment of MH, but also scope, roles, and resources so that MH issues are addressed in a consistent manner and with harmonious messages to dialysis patients.
Our study has important strengths, including robust sampling and triangulation of mixed methods approaches; however, it also has limitations. All nurses interviewed were female and from smaller community units. Participation of nurses from larger urban units may have highlighted different MH resources. However, a recent report from dialysis patients located in urban Alberta centers  confirmed similar findings in this study, indicating a lack of focus and support for mental wellbeing in the kidney healthcare system. Additionally, the views of other dialysis clinicians may differ from those of nurses. While patients’ MH issues may have been discussed with nurses and other clinicians, they may not have been charted, or more likely, they may have been charted in patients’ paper documents, such as the daily hemodialysis treatment log (i.e., run sheet). Therefore, we likely underrepresented how often MH concerns were identified and/or managed in our chart note content analysis. Three of the ten patient interviews were conducted in the dialysis setting. This “public” setting may have influenced what they were willing to share. However, these patients chose to have their interviews in this setting so they may have chosen it for their own comfort.
We found that the burden of depressive and anxiety symptoms reported by adults on in-centre hemodialysis in Northern Alberta using screening measures was similar to international prevalence. Patients’ and nurses’ perceptions of MH management revealed that while PROM use may illuminate MH concerns, there was uncertainty whether it was within the scope of dialysis care, particularly with perceived inadequacy of supports. Tensions underpinning MH management in dialysis highlight the need for ongoing systemic decisions about how routine PROM use that includes MH assessment and resources may best be addressed in practice.
Availability of data and materials
The data that supports the findings of this study are available from the University of Alberta but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the corresponding author upon reasonable request and with permission of the University of Alberta.
Consolidated criteria for reporting qualitative research
Evaluation of routinely Measured PATient reported outcomes in HemodialYsis care
RenalEdmonton Symptom Assessment System—revised: Renal
Generalized Anxiety Disorder 2-item questionnaire
Patient Health Questionnaire 2-item
Patient-reported outcome measures
Quality of Life
Hofmeijer-Sevink MK et al (2012) Clinical relevance of comorbidity in anxiety disorders: a report from the Netherlands Study of Depression and Anxiety (NESDA). J Affect Disord 137(1–3):106–112
Palmer S et al (2013) Prevalence of depression in chronic kidney disease: systematic review and meta-analysis of observational studies. Kidney Int 84(1):179–191
World Health Organization (2017) Depression and other common mental disorders: global health estimates. Licence: CC BY-NC-SA 3.0 IGO
Kimmel PL et al (2000) Multiple measurements of depression predict mortality in a longitudinal study of chronic hemodialysis outpatients. Kidney Int 57(5):2093–2098
Vazquez I et al (2005) Psychosocial factors and health-related quality of life in hemodialysis patients. Qual Life Res 14(1):179–190
Szeifert L et al (2012) Psychosocial variables are associated with being wait-listed, but not with receiving a kidney transplant in the Dialysis Outcomes and Practice Patterns Study (DOPPS). Nephrol Dial Transplant 27(5):2107–2113
Farrokhi F et al (2014) Association between depression and mortality in patients receiving long-term dialysis: a systematic review and meta-analysis. Am J Kidney Dis 63(4):623–635
Abbas Tavallaii S et al (2009) Effect of depression on health care utilization in patients with end-stage renal disease treated with hemodialysis. Eur J Intern Med 20(4):411–414
Hedayati SS et al (2010) Association between major depressive episodes in patients with chronic kidney disease and initiation of dialysis, hospitalization, or death. JAMA 303(19):1946–1953
Chan L et al (2017) The effect of depression in chronic hemodialysis patients on inpatient hospitalization outcomes. Blood Purif 43(1–3):226–234
Murtagh FE, Addington-Hall J, Higginson IJ (2007) The prevalence of symptoms in end-stage renal disease: a systematic review. Adv Chronic Kidney Dis 14(1):82–99
Cohen SD, Cukor D, Kimmel PL (2016) Anxiety in patients treated with hemodialysis. Clin J Am Soc Nephrol 11(12):2250–2255
Cukor D, Ven Halen N, Fruchter Y (2013) Anxiety and quality of life in ESRD. Semin Dial 26(3):265–268
Flythe JE et al (2018) Symptom prioritization among adults receiving in-center hemodialysis: a mixed methods study. Clin J Am Soc Nephrol 13(5):735–745
Natale P et al (2019) Psychosocial interventions for preventing and treating depression in dialysis patients. Cochrane Database Syst Rev 12:CD004542
Manns B et al (2014) Setting research priorities for patients on or nearing dialysis. Clin J Am Soc Nephrol 9(10):1813–1821
Fayers PM, Machin D (2016) Quality of life: the assessment, analysis, and reporting of patient-reported outcomes, 3rd edn. Wiley, p 626
Finkelstein FO, Finkelstein SH (2017) Time to rethink our approach to patient-reported outcome measures for ESRD. Clin J Am Soc Nephrol 12(11):1885–1888
Peipert JD, Hays RD (2017) Using patient-reported measures in dialysis clinics. Clin J Am Soc Nephrol 12(11):1889–1891
Schick-Makaroff K et al (2019) Strategies for incorporating patient-reported outcomes in the care of people with chronic kidney disease (PRO kidney): a protocol for a realist synthesis. Syst Rev 8(1):20
Witten B (2016) New CMS reporting requirements for 2016: clinical depression screening for dialysis [cited 2020 April 28]. https://homedialysis.org/news-and-research/blog/138-new-cms-reporting-requirement-for-2016-clinical-depression-screening-for-dialysis
Creswell JW (2010) Mapping the developing landscape of mixed methods research. In: Tashakkori A, Teddlie C (eds) The Sage handbook of mixed methods in social and behavioral research. Sage, pp 1–44
Klassen AC et al (2012) Best practices in mixed methods for quality of life research. Qual Life Res 21(3):377–380
Williamson GR (2005) Illustrating triangulation in mixed-methods nursing research. Nurse Res 12(4):7–18
Creswell JW (2008) Analyzing and interpreting qualitative data. In: Educational research: planning, conducting, and evaluating quantitative and qualitative research. Pearson/Merrill Prentice Hall, pp 236–362
Johnson JA et al (2020) A cluster randomized controlled trial for the evaluation of routinely measured PATient reported outcomes in HemodialYsis care (EMPATHY): a study protocol. BMC Health Serv Res 20(1):731
Davison SN, Jhangri GS, Johnson JA (2006) Cross-sectional validity of a modified Edmonton symptom assessment system in dialysis patients: a simple assessment of symptom burden. Kidney Int 69(9):1621–1625
Davison SN, Jhangri GS, Johnson JA (2006) Longitudinal validation of a modified Edmonton symptom assessment system (ESAS) in haemodialysis patients. Nephrol Dial Transplant 21(11):3189–3195
Herdman M et al (2011) Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res 20(10):1727–1736
Kroenke K, Spitzer RL, Williams JB (2003) The Patient Health Questionnaire-2: validity of a two-item depression screener. Med Care 41(11):1284–1292
Skapinakis P (2007) The 2-item Generalized Anxiety Disorder scale had high sensitivity and specificity for detecting GAD in primary care. Evid Based Med 12(5):149
StataCorp (2015) Stata statistical software: release 14.2. StataCorp LP
Sandelowski M (2000) Whatever happened to qualitative description? Res Nurs Health 23(4):334–340
Sandelowski M (2010) What’s in a name? Qualitative description revisited. Res Nurs Health 33(1):77–84
Braun V, Clarke V (2006) Using thematic analysis in psychology. Qual Res Psychol 3(2):77–101
Hsieh HF, Shannon SE (2005) Three approaches to qualitative content analysis. Qual Health Res 15(9):1277–1288
Nowell LS et al (2017) Thematic analysis: striving to meet the trustworthiness criteria. Int J Qual Methods 16(1):160940691773384
Clarke V, Braun V (2018) Using thematic analysis in counselling and psychotherapy research: a critical reflection. Couns Psychother Res 18(2):107–110
The University of Auckland (2019) Thematic analysis: a reflexive approach [cited 2020 May 12]. https://www.psych.auckland.ac.nz/en/about/our-research/research-groups/thematic-analysis.html
Scientific Software Development GmbH (2019) ATLAS.ti: qualitative data analysis version 8 [cited 2019 May 16]. http://atlasti.com/
Morse JM et al (2002) Verification strategies for establishing reliability and validity in qualitative research. Int J Qual Methods 1(2):2
Tong A, Sainsbury P, Craig J (2007) Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care 19(6):349–357
Greenhalgh J et al (2018) How do aggregated patient-reported outcome measures data stimulate health care improvement? A realist synthesis. J Health Serv Res Policy 23(1):57–65
Greenhalgh J et al (2018) How do patient reported outcome measures (PROMs) support clinician-patient communication and patient care? A realist synthesis. J Patient Rep Outcomes 2:42
Boyce MB, Browne JP (2013) Does providing feedback on patient-reported outcomes to healthcare professionals result in better outcomes for patients? A systematic review. Qual Life Res 22(9):2265–2278
Valderas JM et al (2008) The impact of measuring patient-reported outcomes in clinical practice: a systematic review of the literature. Qual Life Res 17(2):179–193
Tranter S, Donoghue J, Baker J (2009) Nursing the machine: an ethnography of a hospital haemodialysis unit. J Nephrol Renal Transpl 2(3):28–41
Carriere C et al (2020) Unplugging while plugged in: a peer to peer exploration of the impacts of dialysis on the mental wellness of patients with chronic kidney disease. University of Calgary
Bear RA, Stockie S (2014) Patient engagement and patient-centred care in the management of advanced chronic kidney disease and chronic kidney failure. Can J Kidney Health Dis 1:24
Evans JM et al (2020) Implementing a patient-reported outcome measure for hemodialysis patients in routine clinical care. Clin J Am Soc Nephrol 15(9):1299
Clement S et al (2015) What is the impact of mental health-related stigma on help-seeking? A systematic review of quantitative and qualitative studies. Psychol Med 45(1):11–27
Öhlén J et al (2017) Person-centred care dialectics—inquired in the context of palliative care. Nurs Philos 18(4):e12177
Thornicroft G et al (2016) Evidence for effective interventions to reduce mental-health-related stigma and discrimination. Lancet 387(10023):1123–1132
Sharac J et al (2010) The economic impact of mental health stigma and discrimination: a systematic review. Epidemiol Psichiatr Soc 19:223–232
Robinson DJ et al (2018) Diabetes and mental health. Can J Diabetes 42:S130–S141
May CR et al (2014) Rethinking the patient: using Burden of Treatment Theory to understand the changing dynamics of illness. BMC Health Serv Res 14(1):281
Greenhalgh T et al (2017) Beyond adoption: a new framework for theorizing and evaluating nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability of health and care technologies. J Med Internet Res 19(11):e367
Tonelli M et al (2015) Comorbidity as a driver of adverse outcomes in people with chronic kidney disease. Kidney Int 88(4):859–866
We would like to acknowledge contributions of the following individuals for planning and implementation of the EMPATHY Trial: Alberta Kidney Care: Duperron P (deceased), Ilkiw N, Nhan J, Saunders-Smith T, Wasylynuk BA; Ontario Renal Network: Blake P, Cooper R, Glazer A, Heale E, Lum R, Mackinnon M, Rust J.
The EMPATHY trial was independently peer-reviewed and funded by Can-SOLVE CKD Network, supported by the Canadian Institutes of Health Research under Canada’s Strategy for Patient-Oriented Research (reference #SCA-145103). This large network supports a large number of research projects, including the EMPATHY Trial and provides basic infrastructure and resources. The EuroQol Research Foundation provided funding for the qualitative sub-study through the University of Alberta (EQ Project 20180170).
Ethics approval and consent to participate
Ethics approvals for the study were granted from the University of Alberta (Health Research Ethics Board Pro00077850 and Pro00085021). All study methods were performed in accordance with the guidelines and regulations of the Health Research Ethics Board at the University of Alberta, protecting participants’ human rights, privacy, and confidentiality. Informed consent was obtained from participants, under the qualitative study. The remaining data sources came from the EMPATHY trial which was approved to be conducted under a waiver of consent from the University of Alberta Health Research Ethics Board (Pro00077850). This was considered appropriate because PROM collection was occurring already, or was planned to be implemented, as determined by the renal program; the intervention (linking the PROM to patient/provider discussion) is of minimal risk to patients, and all treatments are ascribed based on the provider judgment, not by study protocol; seeking informed consent would not be feasible in the framework of making this part of routine clinical care; seeking informed consent would likely bias participation resulting in inaccurate estimations of effect which would render the results of the trial uninformative for the use of these measures as part of routine care. All study methods were performed in accordance with the guidelines and regulations of the Health Research Ethics Board at the University of Alberta, protecting participants’ human rights, privacy, and confidentiality.
Consent for publication
Jeffrey A. Johnson is a member of the EuroQol Group and a member of the Board of Directors for the EuroQol Research Foundation. All authors have no other conflicts of interest to declare.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Schick-Makaroff, K., Wozniak, L.A., Short, H. et al. Burden of mental health symptoms and perceptions of their management in in-centre hemodialysis care: a mixed methods study. J Patient Rep Outcomes 5, 111 (2021). https://doi.org/10.1186/s41687-021-00385-z
- Mental health
- Depressive symptoms
- Anxiety symptoms
- Chronic hemodialysis