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Nutrients
  • Article
  • Open Access

24 July 2024

A Qualitative Study Supporting Optimal Nutrition in Advanced Liver Disease—Unlocking the Potential for Improvement

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1
John Hunter Hospital, Hunter New England Local Heath District, New Lambton Heights, NSW 2305, Australia
2
Hunter Medical Research Institute, Equity in Health and Wellbeing, New Lambton Heights, NSW 2305, Australia
3
School of Health Sciences, University of Newcastle, Callaghan, NSW 2308, Australia
4
Department of Rural Health, University of Newcastle, Port Macquarie, NSW 2444, Australia
This article belongs to the Special Issue Nutrition and Quality of Life for Patients with Chronic Disease

Abstract

Malnutrition rates in Advanced Liver Disease (ALD) are significantly higher than those in well-compensated liver disease. In addition to its physiological impact, malnutrition is detrimental for quality of life and social, emotional, and psychological well-being. Studies within oncology and renal supportive care have identified the influence of non-physiological factors on malnutrition risk. Integrating similar factors into malnutrition screening for ALD could improve identification of at-risk patients to optimize treatment planning. This qualitative study aimed to understand the holistic factors influencing nutritional status in the ALD population. Semi-structured interviews with 21 patients, carers, and clinicians explored the experiences of malnutrition in ALD. Thematic analysis revealed five key themes: (i) appropriateness of healthcare delivery; (ii) health- and food-related factors; (iii) high symptom burden, (iv) social support impacting well-being, and (v) physical and structural supports. Current screening methods do not adequately capture all potential drivers of malnutrition in the ALD population. Adopting a more supportive approach including both physiological and non-physiological factors in ALD malnutrition screening may promote more timely and comprehensive nutritional interventions that address the complex and holistic needs of patients living with ALD.

1. Introduction

Malnutrition in Advanced Liver Disease (ALD) is common and contributes to high symptom burden, poorer health outcomes, increased hospital admissions, increased healthcare costs, decreased quality of life, and increased rates of mortality [1,2,3,4,5,6]. Studies have shown that 20% of people living with well-compensated liver disease suffer from malnutrition, with rates increasing to 60–85% in people in advanced stages of the disease [1,2,3,6]. Malnutrition directly impacts severe complications of liver cirrhosis, such as ascites, hepatic encephalopathy, and infections, worsening prognosis and reducing quality of life [6].
Early detection and diagnosis of malnutrition is essential in ALD. The European Society for Clinical Nutrition and Metabolism (ESPEN) guidelines recommend initial screening for malnutrition using a validated tool [1,2,3,6,7]. While most globally used validated screening tools seek to identify changes in dietary intake and weight, screening for malnutrition in ALD can be difficult. The fluid buildup from edema and ascites may mask weight changes, leading to inaccurate weight and body mass index calculations and thereby decreasing the accuracy of these tools and potentially underestimating malnutrition risk [6,7,8]. As a result, nutritional intervention is often delayed [6]. The Malnutrition Screening Tool (MST) is an example of a screening tool commonly used in clinical practice [3]. It is a popular tool as it is validated across multiple conditions, can be completed by any staff member, and can be easily applied in all settings [3]. However, it is less likely to be effective in this population as it only uses intake and weight as indicators of risk of malnutrition [3]. Some studies have shown that in patients with cirrhosis, the MST has poor diagnostic ability, with reduced sensitivity and lower prevalence of identified malnutrition risk when compared with other screening tools [2].
The Patient-Generated Subjective Global Assessment Short Form (PG-SGA Short Form) includes a wider range of nutritional symptoms such as nausea, taste change, and loss of appetite, with the option to include additional factors under the category of ‘other’ [9]. However, this ‘other’ information is reliant on a patient’s health literacy or understanding of the condition to recognize key details to convey for effective identification and prioritization of need [9]. Alternatively, the Royal Free Hospital-Nutrition Prioritizing Tool (RFH-NPT) is recommended by the European Society for Enteral and Parenteral Nutrition (ESPEN) guidelines for malnutrition screening in patients with ALD as it is disease-specific and considers factors beyond intake and weight [1,3]. Included in the tool are disease-related complications such as ascites and general fluid overload, therefore improving its effectiveness for malnutrition risk detection in this population [6,10].
Non-physiological determinants such as personal, religious, and cultural values and psychological factors play a role in malnutrition etiology but are not routinely captured in current tools [3,6,7,8,11,12]. While there is limited evidence investigating the non-physiological determinants of malnutrition in ALD populations, studies in other patient groups with comparable high symptom burdens, such as oncology and renal supportive care, have shown that incorporating these additional factors leads to more timely nutritional intervention for those at risk of malnutrition [11,12]. This allows for better management of symptoms, improved physical function and independence, and improved quality of life [11,12].
Given the significant impact of malnutrition on ALD outcomes and emerging evidence regarding the benefit of incorporating non-physiological determinants of malnutrition in screening for ALD, a broader approach to malnutrition screening is required. The primary aim of this research is to identify these additional non-physiological factors for use in malnutrition screening for patients with ALD that could inform a patient-reported screening tool. Consumer engagement explored the lived experience of nutrition concerns in this patient group through qualitative methods. Such consumer involvement has been shown to increase the quality, impact, and reach of clinical research [13].

2. Materials and Methods

This qualitative study is reported in accordance with the ‘Standards for Reporting Qualitative Research (SRQR): A Synthesis of Recommendations’ [14]. Ethics approval was provided by Hunter New England Ethics Committee reference (2022/ETH02426) on 21 December 2022. Registration was granted by the Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN12624000472572.

2.1. Setting

This study was conducted within complex and supportive care liver clinics across one metropolitan and one regional Australian public health site.

2.2. Research Steering Committee

The research team comprised a ten-member steering committee consisting of researchers, doctors, nurses, and dieticians with experience in ALD. An early-career research dietician skilled in working with ALD patients and supportive care convened the research steering committee. The research dietician worked collaboratively under the guidance of the broader research steering committee, seeking feedback and direction on every aspect of the study design, implementation, and evaluation.

2.3. Consumer Input

For this study, it was vital to engage with a range of consumers to improve the researchers’ understanding of the lived experience of malnutrition in ALD and to ensure the richness of the data. Consumers consisted of (i) patients and (ii) carers.
Patients were eligible if they were 18 years of age or older, attended one of the liver clinics in the research setting, were able to provide informed consent, and had Child–Pugh B or C liver disease. As a range of lived experience was sought, current malnutrition was not an inclusion criterion for the study; participants were invited if they had Child–Pugh B or C status as this group would be more likely to have a current or future risk of undernutrition and receive dietetic input. Carers of any patient meeting the eligibility criteria were invited to participate, with their participation dependent on receiving informed consent from the patient.

2.4. Clinician Input

Dieticians, nurses, social workers, and doctors who worked across either research site were eligible to participate. These health workers needed to be currently employed at one of the liver clinics in the setting, caring for patients who met the eligibility criteria and/or have experience working with the ALD population.

2.5. Recruitment

Recruitment occurred between January and March 2023. Eligible patients and carers were identified from those who attended a clinic within the research setting. In consultation with site leads for the Department of Nutrition and Dietetics, Gastroenterology and Supportive Care, the research dietician identified key staff members with experience in ALD who were purposefully sampled and invited to participate. Due to a limited number of dieticians available at the regional site, dieticians from an outlying health campus with expertise in ALD were nominated by department leads to provide a broader range of input and regional perspective. Clinicians who provided consent to participate were provided an information sheet prior to contact with the research dietician.

2.6. Data Collection

Semi-structured interviews were conducted with all consumers between January and March 2023. Interviews were facilitated by the research dietician (blinded for peer review) either in person, via phone, or virtually using Microsoft Teams. Interview guides were developed to promote consistency in the data collected (see Table 1 and Table 2) based on the literature and the research team’s knowledge and clinical experience. Thirteen clinicians were interviewed either individually or in small groups of two or three. All patients and carers were interviewed individually.
Table 1. Interview Guide for Clinicians.
Table 2. Interview Guide for Patients and Carers.
Adroit Transcription was used to transcribe a total of eleven interviews with thirteen participants, including two focus groups [15]. A glossary of terms was provided to transcribers to give context to the interviews for more accurate transcription (see Table S1). The remaining nine participant interviews were transcribed manually by the research team due to poor recording quality. Each transcript was then checked by two members of the research team (blinded for peer review) for accuracy.

2.7. Data Analysis

Transcripts were de-identified and analyzed thematically using the Braun and Clarke method [16]. The initial coding was completed by two members of the research team (blinded for peer review) who spent time familiarizing themselves with the transcribed interviews by completing iterative readthroughs of each interview to gain maximum insight [16]. Codes were generated for as many topics as possible, ensuring that the code was not just a phrase but rather applied to a contextual segment of the interview. Two members of the research steering committee (the dietetic honors student and one senior research dietician) generated themes from the existing codes and sorted these into categories that best encompassed their meaning [16]. Themes were further refined during two consultations with the broader research steering committee for review, revisiting and reorganizing codes and subthemes until a consensus was obtained [16]. The sample size was deemed large enough to provide adequate information power due to the narrow focus of the study, specific sample population, and clinical expertise of the research team [17]. Supporting exemplars were then extracted from the text, aiding in the refining of the names of the themes, ensuring that they were conceptually parallel [16]. NVivo 12 software was used to assist in the organization and visualization of the data [18].

3. Results

There was a total of twenty-two participants included in this study: eleven clinicians, nine participants, and two carers. Five clinicians and two patients came from the regional sites. Six clinicians, seven patients, and two carers came from the metropolitan site (see Figure 1). Patient participants had a diagnosis of hepatitis B, hepatitis C, and/or alcoholic liver disease and had received dietician input into their care planning during standard care liver clinics in the six months prior to being recruited to the study. Two of these patient participants had been diagnosed with hepatocellular carcinoma, with one having received immunotherapy. There was a 100% participation rate with all patients, carers, and clinicians approached for the study agreeing to be interviewed. Interviews lasted between five and thirty minutes.
Figure 1. Flow chart for the recruitment of participants.
When exploring the factors influencing the nutritional status of the ALD population, five main themes were identified: (i) appropriateness of healthcare delivery; (ii) health- and food-related factors; (iii) high symptom burden, (iv) social support impacting well-being, and (v) physical and structural supports (see Table 3 for themes, sub-themes, and supporting quotes).
Table 3. Themes, sub-themes, and supporting quotes.

3.1. Appropriateness of Healthcare Delivery

Timely referrals and capturing and addressing what matters most to patients and their carers were highlighted by carers and clinicians as important factors in this study. Patients recognized the benefit of being able to “ring up and ask a question” and carers identified “having the right group around you, especially a group that sort of specializes in that stuff…when no-one else really took very serious, so um, life-changing, for both of us”. Clinicians acknowledged that it was difficult to assess malnutrition risk with weight changes alone due to an “increase in ascites [and] decrease in muscle mass”. This highlighted the need for a screening tool that could screen for more symptoms specific to the ALD population to allow for more appropriate referrals to dieticians. Clinicians identified that the current method of screening for malnutrition was “just a bit of a hit and miss” without “a real clear process of who gets referred to the dietician” and “not capturing the issues that the patient has”.

3.2. Health- and Food-Related Factors

One patient identified that having a “common understanding of nutrition” would help increase their intake as they would then be able to understand “the goodness [they’re] getting from the food to make it worthwhile eating”. For some patients, it was recognized by clinicians that “they’ve not had good, potentially, dietary or nutrition inputs until now and so those [negative] habits are formed”, as well as “a lot of people we do know still have a reliance on alcohol as well” which can then make it “hard to break that barrier as well, sometimes.” Clinicians noted that this impeded some patients’ comprehension of the provided education regarding how food and nutrition may impact ALD.
It was identified by a clinician that there are “multi-factorial” components that can impact the nutrition of people with ALD. Clinicians reported the patients’ “cooking skills and food preparation skills are, on average, lower in this population” and could adversely affect their nutritional status. Additionally, it was recognized that aspects such as “issues with dentition” could impact their nutritional status as it “changes what people can eat and what they can tolerate, that links in often with financial things, not being able to get their teeth fixed, or access the services that they need.” This comment reflects difficulties patients have accessing public dental health services in Australia due to the associated costs, waiting times, limited transport options, and fewer dental practitioners in rural areas [19].

3.3. High Symptom Burden

It was identified by patients, carers, and clinicians that the common physiological symptoms associated with ALD, such as ascites, nausea, vomiting, poor appetite, and loss of taste, could affect a patient’s ability to maintain good nutrition. This was best described by one patient as the “absolute sickness” that would get in the way of their nutrition.
While for some patients the symptoms were unexpected without an apparent specific cause, for others, symptom burden was recognized as being complex and often interrelated, causing a cascade effect on intake: “I was eating perfectly, and then one day I just decided I didn’t feel like eating anymore” and “Quite often when I eat, I throw up. Just out of the blue”. As a result of these symptoms, there was a loss of interest in food, making eating more challenging and akin to an obligatory task. The motivation to eat could be quite transient and subject to frequent changes.
For some patients, despite best intentions, the experiences of symptoms impacted “that motivation to cook” and to “actually prepare the meals”, as highlighted by one patient after frequent bouts of diarrhea impacted their ability to proceed with planned meals. Additionally, one clinician reported that “80 per cent of them [patients] are probably depressed,” suggesting that low mood would further impact motivation and ability to look after one’s nutrition. As a result of experiencing symptoms, patients’ reduced energy levels were recognized as impacting their ability to prepare meals; this began even before the meal preparation stages, in being able to source food from the shops and get it home. “Physically, I couldn’t walk. I literally couldn’t lift my three-month-old son up at the time, I barely could move off the lounge. I just slept all day”.

3.4. Social Support Affecting Well-Being

Patients, carers, and clinicians identified the significance of social support for people living with ALD. Patients with ALD reported a loss of independence and the need for more support from family, friends, and carers, as exemplified by one patient’s statement: “I was a very independent person, I did everything on my own, I never asked for help, I was very stubborn… Whereas now, I’m like, ‘yes please, can you do this for me’. So that’s kind of what’s changed me a lot I suppose”.
However, patients also recognized that their waning interest in food sometimes led them to decline social invitations for fear of bringing a negative atmosphere, resulting in missed opportunities for a supportive social dining experience. One patient responded that “I didn’t attend my grand-daughter’s um, engagement party on Saturday, just because you know, I hadn’t been eating and also too, because I am getting tired because also you don’t eat so I’m “I’ve got to sit down, I’ve got to sit down”, you know I’d be forever feeling I was being that wet towel, always hanging around, so I just said I wasn’t going to go and so I missed out on that.”
Clinicians reported they noticed “a big difference in the patients who have a family, or you know, have a partner and patients who are single and are on their own”. When patients had a “lack of social support…especially if they are living on their own and they’re feeling so poorly”, this would impact a patient’s ability to maintain good nutrition due to difficulty shopping for food and preparing meals.

3.5. Physical and Structural Support

Financial concerns were raised by some patient participants, with one patient responding that “I’m on the DSP [Disability Support Pension] … I don’t work at the moment, so I don’t have that money to spend”. It was identified by clinicians that a number of barriers could affect a patient’s ability to maintain good nutrition; these were recognized as patients of “lower socioeconomic [status] as well, so financial barriers, transport barriers, things like that”.
In the clinicians’ experiences, finance had a big impact on “being able to afford to eat the amount of protein or the amount of food”. This was reinforced by patients when they were required to purchase specialty items to manage their condition or when patients were required to access nutritional support to ensure they could meet their nutritional requirements. In some instances, clinicians stated that patients would respond “no” when asked if they could afford to purchase nutritional supplement drinks. As a result, the dieticians were altering recommendations to meet the financial needs of the patients.

4. Discussion

This novel study aimed to understand the non-traditional factors influencing the nutritional intake of the ALD population. Our findings highlight several barriers and non-physiological factors not included in standard malnutrition screening tools that influence the nutritional status of patients in this population.
Results from this study reinforce the impact of a high symptom burden in ALD on a patient’s nutritional status. Symptoms such as ascites, nausea, vomiting, poor appetite, loss of taste, and low energy acted as barriers to maintaining adequate nutrition. Our study also highlighted the multifactorial nature of these symptoms in patients, which were often linked; for example, accumulation of ascites may cause nausea, resulting in changes to appetite and intake. This is consistent with the literature, which indicates that up to 50% of people with ALD will experience ascites and its consequent impact on nutrition, leading to heightened malnutrition rates of up to 85% in this population [1,20]. Despite these symptoms being commonly reported in our study population and consistently seen in the literature, only two of the seven validated malnutrition screening tools, the RFH-NPT and the PG-SGA Short Form, explore disease-related complications, such as ascites or general fluid overload [6,9,20,21]. In addition, the PG-SGA Short Form includes nutritional symptoms such as nausea, taste change, and low appetite, but doesn’t capture fluid buildup from ascites or edema [9].
Evidence in the renal and oncology literature has identified that targeting non-physiological impacts can lead to better-managed symptoms and a greater quality of life [11,12]. In Australia, the PG-SGA Short Form is often preferred in renal and oncology settings. However, our study identified that patients in the ALD population have other complex needs not routinely picked up by current screening tools and experience non-physiological factors that impact their nutritional intake, such as financial status, level of social support, and food literacy levels.
It was highlighted by clinicians that the current screening tools used in this setting did not identify all factors that influenced the nutritional status of patients with ALD, which may impact timely and appropriate referrals for those at risk of malnutrition. As reported in the existing literature, the MST, commonly used in clinical settings, is found to have poor accuracy compared to tools such as the RFH-NPT [3,6]. Therefore, earlier detection and intervention for malnutrition, as recommended by the ESPEN guidelines, is essential to improve the quality of life and reduce the mortality rate of patients with ALD [1,6]. This study draws our attention to the importance of considering a patient-centered approach to improve outcomes and support optimal nutrition to meet the needs of patients with ALD.
To the authors’ knowledge, this is the first exploration of malnutrition screening in ALD encompassing the important perspectives of patients, caregivers, and clinicians utilizing a collaborative and evidence-based approach with formal consumer engagement. As a result of their experiences, this study highlights the ineffectiveness of current screening methods and the need for more comprehensive malnutrition screening. Leveraging the consumer and clinician insights obtained in this study can inform clinical practice towards malnutrition screening that is consumer-focused and considers the unique lived experiences of this patient population. Designing effective patient-reported outcome measures could complement anthropometric or other measures to detect sarcopenia and biochemical methods of assessing nutritional status, for example, serum albumin level, total cholesterol level, and peripheral lymphocyte counts or the ‘Controlling Nutritional Status’ (CONUT) score [22]. It is important to acknowledge there was an unequal distribution of participants between the metropolitan and the regional sites. While it is not anticipated that this would have altered the themes identified in the study, it would be optimal for future research to further explore the experiences of regional and rural people with ALD in more depth due to the known health inequalities experienced by people in these regions [23]. This study did not include patient participants with Child–Pugh A status, and although it is anticipated that this would not have changed our themes, this could be another area of future study. Consideration of the health literacy of patients with ALD and the factors that may differentially influence meal frequency or meal quality may also benefit from future research. Additionally, while this study explored the experiences of patients, carers, and clinicians, there was an uneven distribution in the final numbers. As a result, there might be a lack of representation from specific groups, potentially impacting the comprehensiveness of the study [24]. Respondent validation of the findings could further support the data [24].
Future research in this area should focus on a supportive and holistic approach to nutritional management that considers economic, environmental, and psychosocial factors. The authors plan to develop a novel screening tool for ALD that will be evaluated in comparison to a comprehensive subjective global assessment. Furthermore, interdisciplinary care planning should be engaged to harness expertise in the management of both physiological and non-physiological determinants of malnutrition, which may improve not only the nutritional status of patients but also their quality of life.

5. Conclusions

Malnutrition rates in patients with ALD are higher when compared to patients with well-compensated liver disease. This study aimed to understand the non-traditional factors perceived to influence the nutritional status of patients with ALD which are not currently included in malnutrition screening tools. A wide range of physiological and non-physiological factors that can affect the nutrition status of patients with ALD were identified by the diverse group of stakeholders; these warrant consideration in the development and implementation of malnutrition screening tools for ALD. To our knowledge, no current published screening tools consider both the physiological and non-physiological factors of malnutrition in the ALD population. Therefore, we recommend the development of a novel screening tool that incorporates these aspects to screen for malnutrition in this population more accurately.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu16152403/s1, Table S1: Glossary of Terms.

Author Contributions

Conceptualization, S.P., J.A. and K.W.; methodology, S.L., S.P., J.A. and K.W.; software, S.L., K.F. and S.P.; validation, S.L., S.P., J.A. and K.W.; formal analysis, S.L., K.F., K.S. and S.H.; investigation, S.L. and J.O.; resources, S.L., S.P., J.A. and K.W.; data curation, S.L., K.F., K.S. and S.H.; writing—original draft preparation, S.L., K.F. and K.S.; writing—review and editing, S.L., K.F., K.S., S.H., J.O., S.P., J.A. and K.W.; visualization, S.L., K.F., K.S., S.H. and S.P.; supervision, K.S., S.H., S.P., J.A. and K.W.; project administration, S.L. and K.W.; funding acquisition, K.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by seed funding from the Hunter Medical Research Institute (HMRI) Equity in Health and Wellbeing Research Program Seed Grant Scheme 2022 and the John Hunter Hospital Charitable Trust Grant Scheme 2022 Hunter New England Local Health District (HNELHD).

Institutional Review Board Statement

Ethics approval was granted by the Hunter New England Human Research Ethics Committee (2022/ETH02426, 21 December 2022). Governance site-specific approval was granted for Hunter New England (2022/STE04011, 18 January 2023; 2022/STE04012, 18 January 2023).

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author(s).

Acknowledgments

The authors thank Jane Kerr, Mary-Anne Dieckmann, Paulett Barnes, and all patients, carers, and clinicians for their involvement and insights.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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