| Literature DB >> 34805816 |
Lea Ladegaard Grønkjær1, Mette Munk Lauridsen1.
Abstract
BACKGROUND & AIMS: In an attempt to uncover unmet patient needs, this review aims to synthesise quantitative and qualitative studies on patients' quality of life and their experience of having liver disease.Entities:
Keywords: CLDQ, Chronic Liver Disease Questionnaire; EQ-5D, European Quality of Life; FACT-Hep, Functional Assessment of Cancer Therapy Hepatobiliary Carcinoma; HBQOL, Hepatitis B Quality of Life; HCC, hepatocellular carcinoma; JBI, Joanna Briggs Institute; LC-PROM, Liver Cirrhosis Patient Reported Outcome Measure; LDQOL, Liver Disease Quality of Life; Liver disease; MELD, model for end-stage liver disease; Mixed method; NAFLD, non-alcoholic fatty liver disease; NASH, non-alcoholic steatohepatitis; PBC, Primary Biliary Cholangitis Questionnaire; Patient experience; Patient reported outcomes; PedsQL, Pediatric Quality of Life Inventory; Quality of life; SF, Short Form; SIP, Sickness Impact Profile; Systematic review; Unmet needs; VAS, visual analogue scale; WHOQOL-BREF, WHO Quality of Life
Year: 2021 PMID: 34805816 PMCID: PMC8585663 DOI: 10.1016/j.jhepr.2021.100370
Source DB: PubMed Journal: JHEP Rep ISSN: 2589-5559
Fig. 1Flowchart of the review process.
Characteristics of studies and patients (N = 95).
| Study design and method | Number of studies (%) |
|---|---|
| Quantitative studies (all using questionnaire) | 79 (83%) |
| Cross-sectional study | 60 (76%) |
| Prospective study | 14 (18%) |
| Case-control study | 5 (6%) |
| Qualitative studies (all using interview) | 16 (17%) |
| Content analysis | 6 (38%) |
| Phenomenological analysis | 5 (31%) |
| Thematic analysis | 3 (19%) |
| Grounded theory analysis | 1 (6%) |
| Combination of analyses | 1 (6%) |
| Autoimmune or cholestatic liver disease | |
| Quantitative studies | 17 (18%) |
| Qualitative studies | 2 (2%) |
| Hepatitis B or C | |
| Quantitative studies | 28 (29%) |
| Qualitative studies | 7 (7%) |
| NAFLD and/or NASH | |
| Quantitative studies | 13 (14%) |
| Qualitative studies | 2 (2%) |
| Cirrhosis of different aetiology | |
| Quantitative studies | 14 (15%) |
| Qualitative studies | 3 (4%) |
| Hepatocellular carcinoma | |
| Quantitative studies | 7 (7%) |
| Qualitative studies | 2 (2%) |
| Generic questionnaires | 59 (70%) |
| Short Form (SF-6D, SF-8, SF-12, SF-36) | 40 (51%) |
| European Quality of Life (EQ-5D) | 10 (13%) |
| Pediatric Quality of Life Inventory (PedsQL) | 5 (6%) |
| Other | 4 (5%) |
| Liver-specific questionnaires | 37 (47%) |
| Chronic Liver Disease Questionnaire (CLDQ) | 24 (30%) |
| Primary Biliary Cholangitis Questionnaire (PBC) | 5 (6%) |
| Functional Assessment of Cancer Therapy Hepatobiliary carcinoma (FACT-Hep) | 4 (5%) |
| Other | 4 (5%) |
| Studies using more than one questionnaire to measure quality of life | 20 (25%) |
| Study location | |
| Asia (China, Hong Kong, India, Iran, Japan, Korea, Pakistan, Saudi Arabia, Taiwan, Turkey) | 34 (36%) |
| Europe (Denmark, England, France, Germany, Hungary, Italy, Lithuania, Poland, Serbia, Sweden) | 30 (32%) |
| North America (Canada, USA) | 29 (30%) |
| South America (Brazil) | 3 (3%) |
| Australia/Oceania (Australia) | 3 (3%) |
| Africa (Ghana) | 1 (1%) |
| Studies from multiple countries | 4 (4%) |
| Patient population size | |
| Studies with <50 patients | 27 (28%) |
| Studies with 50–150 patients | 25 (26%) |
| Studies with >150 patients | 43 (46%) |
| Studies using control group or general population norms | 41 (52%) |
| Quality assessment | |
| Good | 33 (35%) |
| Moderate | 54 (57%) |
| Poor | 8 (8%) |
| Patient population characteristics (N = 37,283) | |
| Adults >18 years of age | 36,599 (98%) |
| Children <18 years of age | 684 (2%) |
| Patients with autoimmune or cholestatic liver disease | 4,971 (13%) |
| Patients with hepatitis B or C | 21,116 (57%) |
| Patients with NAFLD and/or NASH | 7,246 (19%) |
| Patients with cirrhosis of different aetiology | 2,696 (8%) |
| Patients with hepatocellular carcinoma | 1,254 (3%) |
| Age group (Reported in 81 studies) | |
| <50 years | 37 (46%) |
| 50–60 years | 33 (41%) |
| >60 years | 11 (13%) |
| Sex (Reported in 88 studies) | |
| <50% men | 36 (41%) |
| 50–60% men | 18 (20%) |
| >60% men | 34 (39%) |
| Disease severity (Reported in 11 and 9 studies) | |
| Child-Pugh class A > 50% | 7 (64%) |
| Child-Pugh class B or C > 50% | 4 (36%) |
| Model of end-stage liver disease (MELD) score <15 | 5 (56%) |
NAFLD, non-alcoholic fatty liver disease; NASH, non-alcoholic steatohepatitis.
Summary of findings from studies included in the systematic review.
| Patients | Autoimmune or cholestatic liver disease | Chronic hepatitis B or C | NAFLD or NASH | Cirrhosis | HCC | |
|---|---|---|---|---|---|---|
| Chronic Liver Disease Questionnaire (CLDQ) mean score | 5.5 | 4.1–5.8 | 4.9–5.6 | 4.3–5.3 | – | |
| European Quality of Life (EQ-5D) | Total mean score | 0.89 | 0.37–1.0 | 0.67 | – | – |
| Mean visual analogue scale (VAS) score | 80 | 57–85 | – | – | – | |
| Hepatitis B Quality of Life (HBQOL) mean score | – | 64.4–81.4 | – | – | – | |
| Short-Form (SF) different versions | Mental component summary | 40.1–66.7 | 43.0–51.3 | 39.2–49.5 | 41.0–45.3 | – |
| Physical component summary | 38.6–69.2 | 43.7–54.0 | 38.5–46.4 | 30.8–38.6 | – | |
| Functional Assessment of Cancer Therapy-Hepatobiliary Carcinoma (FACT-Hep) mean score | – | – | – | – | 74–126 | |
| Liver Cirrhosis Patient Reported Outcome Measure (LC-PROM) mean score | – | – | – | 189 | – | |
| Liver Disease Quality of Life (LDQOL) mean score | – | – | – | 55.3 | – | |
| Pediatric Quality of Life Inventory (PedsQL) mean score | 71.6–78.3 | 72.7–74.58 | – | – | ||
| Primary Biliary Cholangitis Questionnaire (PBC) mean score | 89.4 | – | – | – | – | |
| Sickness Impact Profile (SIP) mean score | – | – | – | 4.36 | – | |
| WHO Quality of Life (WHOQOL-BREF) mean score | – | 70.8 | – | – | – | |
| Studies not reporting total mean score but sub-scores for individual quality of life domains, number and % | 6 (35%) | 6 (21%) | 2 (15%) | 3 (21%) | 2 (28%) | |
| Studies reporting quality of life results in graphic, number and % | 3 (18%) | 3 (11%) | 0 (0%) | 2 (14%) | 1 (14%) | |
| Main findings from interviews | Patients felt de-legitimation of experiences. The disease resulted in an unreliable body, fatigue, planning a life to conserve energy, and struggling to maintain normality and emotional consequence. Patients missed support. | The diagnosis was a shock followed by disappointment and lack of support. Patients needed education and information to manage the disease. Patients had fear of rejection and stigma. Patients had Insufficient self-care due to limited knowledge. | Patients lacked information and knowledge on the disease. In addition, they lacked support to make lifestyle modifications. NASH had impact on patients’ social life and work performance. Patients experienced stigma. | Patients feared disease outcome and needed support to cope with the disease and treatment. They felt loneliness, loss of self and social isolation due to limits in daily living. They experienced negative preconceptions and stigma. | HCC was associated with physical symptoms and psychosocial stress. Patients’ were highly aware of changes and symptoms, but needed information and support to manage the disease. | |
Range of quality of life scores indicate minimum and maximum total mean score from studies using the questionnaire.
HCC, hepatocellular carcinoma; NAFLD, non-alcoholic fatty liver disease; NASH, non-alcoholic steatohepatitis.
Indicates the use of the questionnaire in 5–9 studies.
Indicates the use of the questionnaire in 4 studies.
Indicates the use of the questionnaire in 3 studies.
Indicates the use of the questionnaire in 2 studies.
Indicates the use of the questionnaire in 1 study.
Fig. 2Conceptual model on the impact of liver disease on patients’ quality of life.