Skip to main content

Symptoms and impacts in anemia of chronic kidney disease

Abstract

Background

Anemia is a frequent complication of chronic kidney disease (CKD) that negatively affects patients’ health-related quality of life.

Methods

We conducted qualitative concept elicitation (CE) and cognitive debriefing (CD) interviews to assess the frequency, duration, and severity of symptoms and impacts associated with anemia of CKD and to facilitate the development of a new patient-reported outcome (PRO) measure. We interviewed 36 patients with CKD and hemoglobin levels ≥8.0 to <12.0 g/dL using a semi-structured interview guide developed specifically for this study until saturation was reached. We used MAXQDA to perform qualitative analysis of interview transcripts to determine the most relevant symptoms and impacts (based on the frequency of concept mentions) experienced by participants.

Results

Most participants had stage 4/5 CKD (81%) and were being treated with an erythropoietin stimulating agent (69%). Spontaneously reported symptoms included feeling tired (79%), shortness of breath (39%), and weak/lacking strength (36%). We developed the Chronic Kidney Disease and Anemia Questionnaire (CKD-AQ), which includes 23 items assessing frequency and severity of the most relevant symptoms and impacts identified by patients with anemia of CKD. The CD interviews confirmed the clarity and relevance of the concepts identified in the CE phase.

Conclusion

The CKD-AQ is a novel PRO measure that captures the frequency and severity of the most relevant symptoms and impacts associated with anemia of CKD. Future studies will evaluate its psychometric properties and its potential utility in anemia management.

Background

Anemia is a frequent complication of chronic kidney disease (CKD) that increases in prevalence and severity as kidney function declines [1, 2]. Common symptoms of anemia of CKD include low energy, fatigue, and decreased physical function, which can negatively affect patients’ health-related quality of life (HRQoL) [2]. Although clinical laboratory values like hemoglobin have been used to monitor patients’ anemia, such measures do not capture how patients feel and function. For optimal patient care, additional tools to assess the symptoms of anemia of CKD and their effect on patient well-being are needed.

Patient-reported outcome (PRO) measures capture concepts such as the symptoms and/or impacts of a disease from the patient’s perspective [3,4,5]. They are increasingly being used as part of the evaluation of new treatment options or when comparing the efficacy of different treatments [3, 6]. Over the past several years, various agencies and organizations, including the US Food and Drug Administration (FDA), International Society of Pharmacoeconomic and Outcomes Research (ISPOR), and European Medicines Agency (EMA), have developed best practices to ensure appropriate content validity and psychometric properties of PRO measures [6,7,8,9,10]. These recommendations include defining the disease and target patient population (context of use) in whom the measure will be used and specifically obtaining patient input on relevant symptoms and impacts (concepts of interest). Additionally, cognitive interviews can help to confirm clarity and relevance to patients of the concepts being evaluated by the PRO measure. Well-developed, validated PRO measures may also improve clinical care by helping clinicians understand patients’ symptoms [3,4,5] and could potentially facilitate communication between patients and physicians and improve patients’ satisfaction with treatment [5, 11].

PRO measures have been developed for patients with CKD and separately for patients with anemia; however, the relevance of these measures to patients with anemia of CKD has not been fully determined [12,13,14,15,16]. A PRO measure, developed in accordance with best practices, could provide meaningful information about symptoms and impacts experienced by patients with anemia of CKD [6, 9, 10]. The objectives of this study were to conduct qualitative interviews with CKD patients who experience anemia to better understand the symptoms associated with anemia of CKD and their effect on patients’ lives and to use this information to develop a novel disease-specific PRO measure.

Methods

Study flow

Following FDA, ISPOR, and EMA best-practice guidelines on PRO development and measurement [6,7,8,9,10], we used an iterative approach to conduct patient interviews and develop and evaluate the PRO measure (Fig. 1). Data collection and analysis were also done following FDA, ISPOR, and EMA best-practice guidelines. The various steps in the development process are as follows:

Fig. 1
figure 1

PRO Measure Development Process. Overview of the development process for a novel questionnaire to evaluate the symptoms and impacts of anemia of CKD

Step 1

We conducted a targeted review of literature articles published between January 2006 and March 2016 using the following search string: (CKD OR “Chronic Kidney Disease”) AND (symptoms OR anemia OR fatigue OR energy OR cognition OR memory) AND questionnaire, to identify concepts to explore during subsequent qualitative patient interviews, and to identify existing CKD and anemia-specific PRO measures. Our targeted literature review identified 5 existing PRO measures (The Kidney Disease Quality of Life Instrument [KDOQOL], the Functional Assessment of Cancer Therapy – Anemia [FACT-an], The Fatigue Assessment Scale [FAS], Patient-Reported Outcome Measurement Information System Fatigue [PROMIS Fatigue], and Dialysis Symptom Inventory [DSI]) with potential relevance in the anemia of CKD population (Item S3 and Table S2) [12,13,14,15,16]; however, none of these specifically examined anemia in the context of CKD, nor were they developed with input from patients with anemia of CKD. Consequently, we decided to conduct qualitative interviews and to potentially develop a new measure specific for this patient population.

Step 2

We developed a semi-structured interview guide, which included open-ended questions designed to facilitate discussion, with additional probing to further explore concepts as needed. We made minor revisions to the interview guide after the first few interviews. Qualitative concept elicitation (CE) interviews (N = 14) were conducted in accordance with good research practices [6] by telephone (Wave 1) to identify relevant symptoms and impacts as reported by patients with anemia of CKD. All interviews were conducted in English by interviewers experienced in conducting qualitative interviews in a manner that encouraged participant engagement and open communication. Interviewer characteristics and sample interview questions are summarized in items S1 and S2 and Table S1.

Step 3

An initial item generation process resulted in the development of 2 PRO measures, a 23-item daily symptom diary, and an 18-item weekly impact questionnaire, based on a thematic analysis of the interview transcripts to identify the most relevant symptoms and impacts and the frequency of symptoms reported by study participants during the CE interviews. To the extent possible, questions were constructed using language expressed by participants.

Step 4a

A second wave of interviews (N = 14) was conducted in a separate set of participants to further explore concepts of interest in patients with anemia of CKD and to assess the content, clarity, and relevance of the 2 draft PRO measures developed in Step 3. These in-person interviews combined CE and cognitive debriefing (CD) components [10] and were conducted one-on-one at either the dialysis center or nephrology clinic. Participants were first asked an abbreviated set of the CE questions from the initial interviews and then asked to provide feedback on the draft measures. The draft PRO measures were updated as interviews were conducted. All revisions to the measures and the rationale for revising were documented using an item-tracking matrix. Because interview time was limited (~ 60 min), not all participants were asked all interview questions.

Step 4b

In parallel to Wave 2 interviews (Step 4a), a translatability assessment was conducted by experienced translators in Hindi, Russian, and Spanish to assess the feasibility of translating the draft items into other languages for use in global studies [17]. The translatability assessment was completed to determine where difficulties would be encountered in subsequent translation efforts for the new PRO measures. The languages were selected because they represent diverse language families spoken by large populations.

Step 5

Based on results from the CD interviews (Wave 2) and input from the research team, it was determined that a 7-day recall period would increase the practicality for using the new PRO measures in clinical trials. As such, the content of the 2 draft PRO measures was combined into a single questionnaire, with a 7-day recall period for all symptoms (except for bruising, which uses a 1-month recall period).

Step 6

An additional wave of CD interviews (N = 8) (Wave 3) [10] was conducted via telephone to obtain feedback on the content, relevance, and clarity of the newly combined PRO measure and to confirm the revisions in Step 5, including the relevance of the 7-day recall period for the items previously included in the daily diary.

Step 7

Following completion of Wave 3 interviews (Step 6), the content of the PRO measure was finalized.

Step 8

The measure was translated into additional languages. All translations underwent either full linguistic validation, including dual forward translations and dual backward translations or linguistics review. All translations were subsequently reviewed by a clinician and underwent cognitive debriefing with 5 patients, as well as proofreading and quality control (QC) steps throughout. The translation process included full linguistic validation interviews.

Study population

Human subjects research approval for this project was provided by an independent scientific review committee (The Copernicus Group, Cary, NC). All participants provided informed consent before enrolling in the study.

Study participants were recruited from Fresenius Medical Care North America (Research by Design site in Evergreen, IL) and DaVita Clinical Research network practices in the United States via telephone and in person. Recruitment was designed to select a diverse range of patients with anemia of CKD rather than replicating real-world demographics. Therefore, an effort was made to diversify recruitment, including a heterogeneous sample across stages of CKD and type of dialysis, sex, age, educational levels, and race [6]. Although sampling relied on a convenience sample, a recruitment target was used whereby ≥3 patients were sought in each subgroup of interest, including patients treated with erythropoietin-stimulating agents (ESAs), those receiving intravenous iron, treatment naïve patients, dialysis-dependent patients, and those not currently receiving dialysis.

To be included in the study, participants were required to be US residents, aged ≥18 years, and have a confirmed diagnosis of CKD. All study participants were required to have hemoglobin (Hb) levels ≥8.0 g/dL and < 12.0 g/dL. However, an effort was made to include patients with both low and high Hb levels, with low Hb defined as 8.0 to 9.9 g/dL in dialysis-dependent patients and 8.0 to 8.9 g/dL in non-dialysis patients and high Hb defined as 10.0 to 11.0 g/dL in dialysis-dependent patients and ≥9.0 g/dL in non-dialysis patients. Participants also needed to speak and read English fluently, provide consent to participate, and be willing to participate in a single audiotaped interview (in person or by telephone) of approximately 60 min.

Patients not on dialysis were eligible regardless of whether they were being treated with an ESA. However, any change in ESA use (initiation or discontinuation) must not have occurred within the past 12 weeks. Patients receiving dialysis were eligible if they were currently receiving an ESA for ≥12 weeks and were on dialysis for ≥12 weeks. Patients who had initiated dialysis within the past 4 weeks were also eligible if they were not currently receiving an ESA. Patients undergoing hemodialysis were required to receive dialysis ≥2 times weekly. Patients undergoing peritoneal dialysis had to be on daily dialysis to be included in the final round of CD interviews (Wave 3).

Patients with medical or psychiatric conditions or those being treated for a condition that resulted in a cognitive or other (e.g., visual, hearing) impairment that would interfere with study participation (based on the investigator’s opinion) were excluded.

Analysis

All interviews were audio recorded and transcribed. All data from the interviews was then coded using MAXQDA (version 11.1.2). A code book was developed iteratively to categorize concepts of interest from the interviews and included descriptions and examples for each code to ensure consistency across coders. Each transcript was coded by 1 coder, then reviewed, summarized, and analyzed by a second coder for accuracy. A saturation table was developed to document table to document the point at which no new concepts were mentioned by subsequent participants for each symptom mentioned during Wave 1 and the CE portion of Wave 2 of the study. Analyses for subgroups were also conducted of interest including dialysis vs non-dialysis patients, hemodialysis vs peritoneal dialysis patients, and patients with Hb level <10.0 g/dL vs those with >10.0 g/dL. Subgroup analyses were descriptive only, and no formal statistical testing was done.

Results

Demographic and clinical characteristics

A total of 36 participants were interviewed: 14 participated in the initial CE telephone interviews (Wave 1), 14 participated in combined CE/CD interviews (Wave 2), and a further 8 participated in an additional set of CD interviews (Wave 3) over the telephone. Demographic and clinical characteristics are summarized in Table 1.

Table 1 Patient Demographic and Clinical Characteristics

Fifty-three percent of participants had stage 5 CKD. Of these, 89% were on dialysis. Overall, in the CE and combined CE/CD interviews, 57% of participants were on dialysis. To ensure representativeness of concepts within the non-dialysis population, fewer participants in the final CD group had stage 5 CKD (38%, n = 3), with only 1 of these 3 participants on dialysis.

Symptoms of anemia of CKD

The frequency with which concepts were reported spontaneously and after probing is summarized in Table 2. Feeling tired (79%, n = 22/28), shortness of breath (39%, n = 11/28), and feeling weak/lacking strength (36%, n = 10/28) were reported spontaneously most frequently (Table 2). Feeling tired (83%, n = 5/6) and shortness of breath (83%, n = 5/6) were also frequently reported after probing, as well as gastrointestinal (GI) symptoms (60%, n = 6/10) and difficulty sleeping (50%, n = 12/24). Difficulty remembering things (50%, n = 12/24), difficulty concentrating (38%, n = 9/24), and restless legs (36%, n = 5/14) were only reported after probing. Saturation, or the point when no new information is elicited, was reached for all concepts by the 25th interview. However, additional interviews were conducted to confirm saturation, and no new concepts were mentioned except “craving ice.”

Table 2 Symptoms Reported During Concept Elicitation (Waves 1 and 2)

Effect of symptoms on patients’ daily lives

Ninety-five percent of participants (n = 19/20) reported that their daily activity was affected, 91% (n = 21/23) that physical functioning was affected, 63% (n = 10/16) that they were affected emotionally, and 45% (n = 10/22) that anemia of CKD affected their social functioning (Table 3). The symptom with the largest effect on daily activities varied by participant; of the 13 participants asked, 6 (46%) indicated tiredness, 2 (15%) shortness of breath, 2 (15%) no symptoms, and 1 each (8%) feeling weak/shaky, difficulty sleeping, and constipation. Likewise, participants differed in which symptom they found most bothersome and most difficult to manage. Of the 11 participants asked, 7 (64%) indicated tiredness was the most bothersome, 3 (27%) shortness of breath, and 2 (18%) difficulty sleeping. Three of the 11 participants asked (27%) indicated that being tired was the most difficult symptom to manage, 2 (18%) shortness of breath, 2 (18%) difficulty sleeping, and 1 each (9%) for dry/itchy skin, feeling weak/shaky, and constipation. Representative quotes about symptoms and their impacts are shown in Table 4.

Table 3 Impacts Reported
Table 4 Representative Quotes of Symptom and Impact Concepts

Some participants had difficulty attributing their symptoms to anemia vs CKD or other health conditions (Table 5). Whereas 80% of participants attributed feeling weak/lack of strength to anemia, only 44%, 33%, and 19% identified being tired, difficulty concentrating, and shortness of breath as being due to anemia, respectively. For the remaining commonly reported symptoms (difficulty remembering, difficulty sleeping, restless legs, and GI symptoms), none attributed them to anemia.

Table 5 Attribution of Symptoms

Subgroup analyses

Results were similar across subgroups with a few exceptions. Specifically, patients not on dialysis were more likely to have difficulty sleeping (71%, n = 5/7 vs 56%, n = 5/9), whereas patients on dialysis were more likely to experience difficulty concentrating (47%, n = 7/15 vs 22%, n = 2/9). Additionally, 83% (n = 5/6) of those with Hb ≥10.0 g/dL reported difficulty sleeping compared with 50% (n = 5/10) of those with Hb <10.0 g/dL.

Development and refinement of the PRO measures

During the initial cognitive debriefing interviews (Step 4a), participants were generally able to accurately paraphrase each item in each measure. However, several participants had difficulty understanding the item assessing “restless legs.” Based on participants’ feedback and the translatability assessment, we made minor revisions to 13 of 23 questions in the daily symptom questionnaire and 2 of 18 questions in the weekly impact questionnaire.

Further revisions to the PRO measures were made based on study team review. Items not directly related to anemia and concepts potentially redundant with existing generic HRQoL PRO questionnaires, 36-Item Short Form Survey (SF-36), and EuroQol-5D (EQ-5D) were removed, as these measures are typically used in clinical research and may be used together with the novel PRO measure. Based on clinician input regarding chest pain as a potential symptom of anemia and because patients with CKD have higher risk of cardiovascular disease, 2 questions on symptoms of chest pain were added. Finally, the recall period for all items was changed to the “past 7 days” (except a 1-month recall period for bruising) based on participant responses, indicating a 7-day recall period was acceptable. The abbreviated content and uniform recall period allowed the 2 questionnaires to be merged into a single PRO measure.

The revised PRO measure was evaluated in a final series of 8 CD interviews (Wave 3). Generally, participants correctly paraphrased each item (range: 88% to 100%), found the questions to be clear (range: 67% to 100%), and found the 7-day recall period acceptable. Minor revisions were made to 2 questions to improve clarity.

CKD and anemia questionnaire

The final CKD and Anemia Questionnaire (CKD-AQ) contains 23 items covering relevant symptoms and impacts associated with anemia of CKD (Table 6). The measure was translated into 68 languages to facilitate its use in global clinical trials. A conceptual framework for the final questionnaire is presented in Fig. 2. The questionnaire contains 8 items that assess the frequency of each symptom, all rated on a 5-point verbal rating scale. An additional 8 items assess the severity of these symptoms using an 11-point numerical rating scale. Five items assess the ability to do various activities, and 2 items assess the emotional impact of anemia of CKD.

Table 6 Content of the CKD-AQ
Fig. 2
figure 2

Conceptual Framework

Discussion

To our knowledge, the CKD-AQ is the first PRO measure specific to patients with anemia of CKD developed using input from patients with anemia of CKD and in accordance with current best practices [6, 9, 10]. A review of the literature identified other PRO measures as potentially relevant for broader anemia populations; however, their applicability specifically to patients with anemia of CKD has not been demonstrated. Further, it is not clear if the Kidney Disease Quality of Life Instrument (KDQOL) and the Dialysis Symptom Inventory (DSI) questionnaires, developed for the CKD population, focused on symptoms of both anemia and CKD during the development process and therefore if all concepts would apply to the population with anemia of CKD.

The CKD-AQ was developed after collecting high-quality data in a rigorous manner directly from patients with anemia of CKD and provides insight on patients’ perspectives of symptoms and impacts on their daily lives. Frequency and severity of common symptoms were assessed, as well as the appropriate recall period for relevant symptoms. The patient-centered approach utilized to develop the CKD-AQ is an important feature because it ensures that the symptoms most relevant to patients with anemia of CKD were included. Moreover, although many of the symptoms and effects on HRQoL identified in our study are included in other PRO measures, to our knowledge, no other measures include assessments of both severity and frequency of all the relevant symptoms and impacts identified together in a single questionnaire (which can increase understanding of how patients experience symptoms and is recommended by FDA best-practices [9]). Other PRO measures also include additional concepts not relevant to patients with CKD.

Key findings from the qualitative CE interviews include that patients with anemia of CKD experience a wide range of symptoms that do not differ substantially based on a patient’s Hb concentration or whether the patient is on dialysis. However, symptoms classified as affecting daily life, being bothersome, or difficult to manage differed among patients, highlighting that not all patients experience symptoms in the same way. Some concepts, such as difficulty remembering things, difficulty concentrating, and restless legs, were most frequently reported only after probing. The need for probing highlights that patients may not spontaneously mention all applicable symptoms of anemia of CKD (as determined through review of the literature and clinician input), supporting the need for a dedicated PRO measure to assess and capture all symptoms patients experience that are potentially due to anemia of CKD. Additionally, our research found that attributing symptoms to CKD, anemia, or something else is very difficult for patients, and patients did not always know which of their symptoms were due to anemia of CKD. To ensure that the CKD-AQ includes the full range of potential symptoms of anemia of CKD, all concepts (whether attributed to anemia by patients or not) were reviewed by the research team for relevance to anemia of CKD prior to inclusion in the CKD-AQ, and the survey was designed so that attribution of the symptom to anemia was not necessary.

The content validity of the CKD-AQ was assessed through 3 rounds of interviews with patients with anemia of CKD. Data from these interviews helped ensure that the instructions and content of the measure were clear and accurately reflected the symptoms and impacts most important to patients with anemia of CKD. The CKD-AQ was reviewed and refined to reduce the overlap of concepts with common generic PRO measures, including the SF-36 and EQ-5D. This reduced the length of the questionnaire to facilitate its use in the clinical setting, reducing patient burden and allowing its possible use in conjunction with generic PRO measures without redundancy. Finally, a 7-day recall period was adopted for all questions in the PRO measure (except for bruising) for increased practicality and appropriate patient recall.

Anemia is a frequent complication in patients with CKD and, when untreated, the consequences can include impaired cognitive and cardiovascular function and accelerated progression of CKD [18]. As such, tools like the CKD-AQ that assess the frequency, severity, and impact on daily activities of symptoms of anemia of CKD have the potential to improve patients’ HRQoL.

Although the study was conducted according to best practices, there were a number of limitations. First, not all questions were asked of all participants because interview time was limited. However, not all concepts were relevant to every participant, especially if certain symptoms were not initially reported. Additionally, while we recruited a diverse population to obtain input on the symptoms of anemia of CKD across a range of patient characteristics, most participants were being treated for anemia. The burden for patients earlier in their disease course (not being treated for anemia) could be different or less noticed. Furthermore, all participants were recruited from large US dialysis centers and may not be representative of the entire US population affected by anemia of CKD or of patients of other countries. The large percentage of participants with comorbid conditions could also affect the results because symptoms of another condition could be attributed to anemia of CKD, and study participants often did not attribute their symptoms to anemia; however, this is a real-world population where patients will often have multiple comorbidities and care was taken to focus on the anemia-related symptoms and impacts.

After developing the questionnaire, linguistic translation and cultural adaptation into 68 languages were completed to facilitate use of the PRO measure in future global clinical studies. The questionnaire is being administered to thousands of patients in global trials (NCT03029208 and NCT02876835). The psychometric properties and scoring of the CKD-AQ will also be established based on results from these trials.

Conclusion

In conclusion, this study reports the development of a novel PRO measure using a patient-centered approach in accordance with current best practices. The CKD-AQ captures the frequency and severity of the most relevant symptoms and impacts associated with anemia of CKD. It has the potential to assist clinicians in assessing and understanding patients’ symptoms due to anemia of CKD as well as to help evaluate treatments for anemia of CKD in clinical trials.

Availability of data and materials

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

Abbreviations

CD:

Cognitive debriefing

CE:

Concept elicitation

CKD:

Chronic kidney disease

CKD-AQ:

CKD and Anemia Questionnaire

DSI:

Dialysis Symptom Inventory

EMA:

European Medicines Agency

EQ-5D:

EuroQol-5D

ESA:

Erythropoietin-stimulating agents

FDA:

US Food and Drug Administration

GI:

Gastrointestinal

Hb:

Hemoglobin

HRQoL:

Health-related quality of life

HS:

High school

ISPOR:

International Society of Pharmacoeconomic and Outcomes Research

KDQOL:

Kidney Disease Quality of Life Instrument

PRO:

Patient-reported outcome

SD:

Standard deviation

SF-36:

36-Item Short Form Survey

References

  1. National Kidney Foundation. (2002). K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. American Journal of Kidney Diseases, 39((2)(suppl 1)), S1–S266.

    Google Scholar 

  2. KDIGO. (2012). KDIGO clinical practice guideline for anemia in chronic kidney disease. Kidney International. Supplement, 2, 279–335. https://doi.org/10.1038/kisup.2012.40 https://kdigo.org/guidelines/anemia-in-ckd/. Accessed 11 Apr 2019.

    Article  Google Scholar 

  3. Bredart, A., Marrel, A., Abetz-Webb, L., et al. (2014). Interviewing to develop patient-reported outcome (PRO) measures for clinical research: Eliciting patients’ experience. Health and Quality of Life Outcomes, 12, 15.

    Article  Google Scholar 

  4. McCarrier, K. P., Atkinson, T. M., DeBusk, K. P., et al. (2016). Qualitative development and content validity of the non-small cell lung cancer symptom assessment questionnaire (NSCLC-SAQ), a patient-reported outcome instrument. Clinical Therapeutics, 38(4), 794–810.

    Article  Google Scholar 

  5. Nelson, E. C., Eftimovska, E., Lind, C., et al. (2015). Patient reported outcome measures in practice. BMJ, 350, g7818.

    Article  Google Scholar 

  6. Patrick, D. L., Burke, L. B., Gwaltney, C. J., et al. (2011). Content validity–establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR PRO good research practices task force report: Part 1–eliciting concepts for a new PRO instrument. Value in Health, 14(8), 967–977.

    Article  Google Scholar 

  7. European Medicines Agency. (2005). Reflection paper on the regulatory guidance for the use of health-related quality of life (HRQL) measures in the evaluation of medicinal products http://www.ema.europa.eu/ema/index.jsp?curl=pages/regulation/general/general_content_001238.jsp&amp;mid=WC0b01ac0580032ec4. Accessed 11 Apr 2019.

    Google Scholar 

  8. European Medicines Agency. (2016). Appendix 2 to the guideline on the evaluation of anticancer medicinal products in man: The use of patient-reported outcome (PRO) measures in oncology studies https://www.ema.europa.eu/en/documents/other/appendix-2-guideline-evaluation-anticancer-medicinal-products-man_en.pdf. Accessed 11 Apr 2019.

    Google Scholar 

  9. US Department of Health and Human Services. Food and Drug Administration. Center for Drug Evaluation and Research. Center for Biologics Evaluation and Research. Center for Devices and Radiological Health. (2009). Guidance for industry: Patient-reported outcome measures: Use in medical product development to support labeling claims https://www.fda.gov/downloads/drugs/guidances/ucm193282.pdf. Accessed 11 Apr 2019.

    Google Scholar 

  10. Patrick, D. L., Burke, L. B., Gwaltney, C. J., et al. (2011). Content validity--establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR PRO good research practices task force report: Part 2--assessing respondent understanding. Value in Health, 14(8), 978–988.

    Article  Google Scholar 

  11. Chen, J., Ou, L., & Hollis, S. J. (2013). A systematic review of the impact of routine collection of patient reported outcome measures on patients, providers and health organisations in an oncologic setting. BMC Health Services Research, 13, 211.

    Article  Google Scholar 

  12. Cella, D. (1997). The functional assessment of cancer therapy-anemia (FACT-an) scale: A new tool for the assessment of outcomes in cancer anemia and fatigue. Seminars in Hematology, 34((3)(suppl 2)), 13–19.

    CAS  PubMed  Google Scholar 

  13. DeWalt, D. A., Rothrock, N., Yount, S., et al. (2007). Evaluation of item candidates: The PROMIS qualitative item review. Medical Care, 45((5)(suppl 1)), S12–S21.

    Article  Google Scholar 

  14. Hays, R. D., Kallich, J. D., Mapes, D. L., et al. (1994). Development of the kidney disease quality of life (KDQOL) instrument. Quality of Life Research, 3(5), 329–338.

    Article  CAS  Google Scholar 

  15. Michielsen, H. J., De Vries, J., & Van Heck, G. L. (2003). Psychometric qualities of a brief self-rated fatigue measure: The fatigue assessment scale. Journal of Psychosomatic Research, 54(4), 345–352.

    Article  Google Scholar 

  16. Weisbord, S. D., Fried, L. F., Arnold, R. M., et al. (2004). Development of a symptom assessment instrument for chronic hemodialysis patients: The dialysis symptom index. Journal of Pain and Symptom Management, 27(3), 226–240.

    Article  Google Scholar 

  17. Wild, D., Eremenco, S., Mear, I., et al. (2009). Multinational trials-recommendations on the translations required, approaches to using the same language in different countries, and the approaches to support pooling the data: The ISPOR patient-reported outcomes translation and linguistic validation good research practices task force report. Value in Health, 12(4), 430–440.

    Article  Google Scholar 

  18. Dowling, T. C. (2007). Prevalence, etiology, and consequences of anemia and clinical and economic benefits of anemia correction in patients with chronic kidney disease: An overview. American Journal of Health-System Pharmacy, 64((13)(suppl 8)), S3–S7 quiz S23-S25.

    Article  Google Scholar 

Download references

Acknowledgements

Editorial support (assembling tables and figures, collating author comments, copyediting, fact checking, and referencing) and graphic services were provided by Sarah Hummasti, PhD, AOIC, LLC, and were funded by GlaxoSmithKline.

Funding

Funding for this study (GSK204823) was provided by GlaxoSmithKline. Authors, who are or were employees of the sponsor at the time of the study participated in the conception and design of the study and interpreted the data along with clinical experts, contributed critical review, and provided approval of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

SDM, SIB, VS: contributed to the conception or design of the study; SDM, HHC: contributed to the acquisition of the data; SDM, SIB, VS, HHC, KLJ, TO: contributed to the data analysis or interpretation. All authors contributed to the writing, provided critical review, and gave final approval for publication and all authors take responsibility for its content. All authors meet the criteria for authorship set forth by the International Committee for Medical Journal Editors. GlaxoSmithKline employees contributed to the study design, analysis, writing and critical review and drafting of the manuscript.

Corresponding author

Correspondence to Tony Okoro.

Ethics declarations

Ethics approval and consent to participate

Human subjects research approval for this project was provided by an independent, scientific review committee (The Copernicus Group, Cary, NC, USA). All participants provided informed consent before enrolling in the study.

Consent for publication

Not applicable.

Competing interests

SDM is an employee of, and HHC is a consultant to Health Outcomes Solutions, which received funding from GSK to undertake this study. SIB and VS are former employees of and hold stock in GSK. KLJ has received consulting fees from GSK for Steering Committee participation. TO is an employee of and holds stock in GSK.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1: Item S1.

Research Team Characteristics and Relationship with Participants. Table S1. Research Team Characteristics. Item S2. Representative CE Interview Questions. Item S3. Literature Review Methods. Table S2. Detailed Search Strings for Selected CKD and Anemia PRO Measures.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mathias, S.D., Blum, S.I., Sikirica, V. et al. Symptoms and impacts in anemia of chronic kidney disease. J Patient Rep Outcomes 4, 64 (2020). https://doi.org/10.1186/s41687-020-00215-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s41687-020-00215-8

Keywords