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. 2023 Jan 30;270(5):2416–2437. doi: 10.1007/s00415-022-11551-8

Table 1.

Characteristics of included studies

First author (year) Country Study design HD sample, N Age (mean) Gender (male, %) Other groups, N Statistical comparison with(in) group(s) Study aim Intended concept Method of (HR)QoL assessment Appraisal score (MMAT, QoL)
(HR)QoL evaluation studies
 Chapman (2002) [33] UKa Qualitative—phenomenological approach NSb, 21 42 43%

CF, 31

Unaffected carriers/family, 11

No To present perceptions of health and QoL in individuals with early- or late-onset genetic conditions QoL +  Individual interviews 60%, 0%
 Ready (2011) [32] USA Qualitative—consensual qualitative research approach pHDGECs, 9 38 44% Companions, 6 No To explore perceptions of QoL in pHDGECs and companions QoL +  Individual interviews 80%, 0%
 Calvert (2013) [29] UK Quantitative non-randomized—analytical cross-sectional design mHDGECsb, 53 57 45% rLTND, 213 Yes To assess HRQoL and access to supportive health and social care in individuals with rare long-term neurological conditions HRQOL +  EQ-5Dc 40%, 13%
 Carlozzi (2013) [36] USA Qualitative—theoretical framework/participatory action approach mHDGECsd, 24 49 NR

At-risk/prodromal, 16

Caregivers, 17

HD clinicians, 25

No To explore domains that reflect HRQOL in HD and to identify pre-existing measures of HRQoL relevant to HD HRQoL +  Focus groups 100%, 100%
 Chisholm (2013) [40] USA Quantitative non-randomized—analytical cross-sectional design

pHDGECs, 37

mHDGECs, 31

44

47

27%

56%

At-risk, 65

Healthy controls, 95

Yes To evaluate and compare well-being (including QoL) in persons at-risk for HD, pHDGECs, mHDGECs, and controls QoL +  Single item (item not defined) 40%, 13%
 Read (2013) [26]e Multinational (not defined) Quantitative non-randomized—analytical cross-sectional design

pHDGECs, 118

group A, Bf

mHDGECs, 117

group C, Dg

41, 40

47, 51

46%, 44%

39%, 55%

Partners, 84

Siblings, 36

Yes To explore HRQoL in pHDGECs and mHDGECs compared to a control group of individuals from the HD community HRQoL +  − SF-36c, QoLIc 80%, 25%
 Dorey (2016) [35] Spain Quantitative descriptive—descriptive cross-sectional design mHDGECs, 55 50 49% Caregivers, 55 No To explore and compare HRQoL in mHDGECs using a disease-specific and generic questionnaire HRQoL + 

EQ-5Dc

H-QoL-Ih

40%, 13%
 Varda (2016) [23]e Cyprus Quantitative non-randomized—analytical cross-sectional design

pHDGECs, 9

mHDGECs, 23

53i 38%j Yes To evaluate QoL in individuals with HD using a standardized HRQoL questionnaire QoL − EQ-5Dc 100%, 38%
 Sherman (2019) [37] USA Qualitative—theoretical framework/participatory action approach

mHDGECsd, 24

Early (n = 8)

Advanced (n = 16)

50

50

37%

56%

At-risk/prodromal, 16

Caregivers, 17

HD clinicians, 25

No To explore experiences of chorea and its impact on everyday functioning and HRQoL in HD stakeholders HRQoL +  Focus groups 60%, 0%
 Exuzides (2022) [42] USA Quantitative non-randomized—analytical cross-sectional design mHDGECs, 41 46 32%

HD carers, 80

PD, 118

PD carers, 385

Controls, 123

Control carers, 240

Yes To evaluate the unique and shared burdens, including the impact on HRQoL, of mHDGECs and HD care partners, compared to Parkinson’s Disease and the general population HRQoL +  EQ-5Dc 100%, 25%
 Engels (2022) [38] NL Qualitative—descriptive and explorative approach mHDGECs, 36 NRk 39%

Family members, 11

Nurses, 36

No To explore and describe perceived QoL of HD patients from the perspective of mHDGECs, family members, and nursing staff QoL +  Individual interviewsl 100%, 50%
Studies examining associations of (HR)QoL
 Ready (2008) [39]e USA Quantitative non-randomized—longitudinal design mHDGECs, 22 47 73% Caregivers, 22 No To examine relationships between patient QoL, caregiver QoL, and symptoms of HD QoL +  Single item (Overall, how would you rate your QoL?) 40%, 50%
 Ho (2009) [45] UK Quantitative non-randomized—analytical cross-sectional design mHDGECsb, 70 50 50% To examine which variables are linked with HRQOL in mHDGECs HRQoL +  SF-36c 60%, 25%
 McCabe (2009a) [34] Australiaa Quantitative non-randomized—longitudinal design NSb, 26 59 69%

PD, 100

MND, 52

MS, 79

Yes To identify predictors of economic pressure and QoL in individuals with progressive neurological illness QoL +  WHOQoL-BREFc 40%, 25%
 Banaszkie- wicz (2012) [24] Poland Quantitative non-randomized—analytical cross-sectional design mHDGECsb, 80 48 NR Caregivers, 80 No To determine predictors of patients’ disability, QoL and caregivers' burden in HD QoL − SF-36c 60%, 13%
 Eddy (2013) [19] UK Quantitative non-randomized—analytical cross-sectional design mHDGECsb, 20 54 60% To examine associations between QoL, behavioral and psychiatric symptoms, and executive function in mHDGECs QoL − SF-36c 20%, 25%
 Eddy (2014) [20] UKa Quantitative non-randomized—analytical cross-sectional design mHDGECs, 30 55 60% Healthy controls, 20 No To assess associations between spatial/social perspective taking and executive deficits, everyday perspective taking, motor symptoms, functional capacity and QoL in mHDGECs QoL − SF-36c 40%, 13%
 Brugger (2015) [43] Austria Quantitative non-randomized—analytical cross-sectional design mHDGECsb, 80 NR 54% To assess the impact of disease characteristics on HRQoL in HD HRQoL +  SF-36c 60%, 25%
 van Walsem (2016) [30] Norway Quantitative non-randomized—analytical cross-sectional design mHDGECs, 84 57 56% To assess ATC use across disease stages in mHDGECs and to examine the associations between ATC and HRQoL HRQoL +  EQ-5Dc 80%, 13%
 Fritz (2018) [44] USA Quantitative non-randomized—analytical cross-sectional design

pHDGECs, 193

mHDGECs, 278

49 j 40% j To examine associations between apathy, functional status, physical function, cognitive function, behavioral status/emotional function and HRQoL in HD HRQoL + 

EQ-5Dc

RAND-12c

WHODASc

60%, 13%
 Zielonka (2018) [22]e Mixed (EU) Quantitative non-randomized—analytical cross-sectional design mHDGECs, 1166 NR for subsample 52% To compare if gender differences in motor, cognitive and behavioral symptoms affect function and how functional impairment affects QoL in mHDGECs QoL − SF-36c 100%, 13%
 Ready (2019) [25] USAa Quantitative non-randomized—longitudinal design

pHDGECs, 50

mHDGECs, 272

52 j 46% j To assess the relationship between positive affect and HRQOL outcomes in HD and whether these associations were moderated by functional status HRQoL +  −

PROMISc

Neuro-QoLc

HDQLIFEh

80%, 13%
Studies investigating both (HR)QoL and its associated factors
 Licklederer (2008) [21] Germany Quantitative non-randomized—analytical cross-sectional design

pHDGECs, 54

mHDGECs, 15

NR for subsamples NR for subsamples Non-carriers, 52 Yes To examine mental health and QoL in HD, to compare mental health between non-carriers, pHDGECs and mHDGECs, and to determine predictors of mental health and QoL QoL– SF-12c 80%, 25%
 McCabe (2009b) [41] Australia Quantitative non-randomized—analytical cross-sectional design mHDGECsb, 48 57 63%

PD, 143

MND, 120

MS, 112

Yes To examine differences in mood, symptoms, and QoL in people with progressive neurological illness, and to examine predictors of mood and QoL QoL +  WHOQoL–BREFc 60%, 13%
 van Walsem (2017) [31] Norway Quantitative non-randomized—analytical cross-sectional design mHDGECs, 84 57 56% To describe HRQoL in mHDGECs and to examine the relationship of unmet needs for healthcare and social support services with HRQoL HRQoL +  EQ-5Dc 80%, 38%
Intervention studies
 A'Campo (2012) [18] NL Quantitative non-randomized—single-group pre–post-design

pHDGECs, 19

mHDGECs, 40

41

53

32%

65%

Partners pHDGEC, 14

Carers mHDGEC, 28

No To evaluate the feasibility of the Patient Education Program for HD (of which the goal is to improve QoL) QoL– SF-36c 60%, 25%
 Piira (2013) [27] Norway Quantitative non-randomized—single-group pre–post-design mHDGECs, 37 52 49% To evaluate the effects of a 1-year intensive, multidisciplinary rehabilitation program for mHDGECs (with HRQoL among the main outcome measures) (HR)QoLm SF-12c 60%, 13%
 Piira (2014) [28] Norway Quantitative non-randomized—single-group pre–post-design mHDGECs, 10 50 50% To evaluate the effects of a 2-year intensive, multidisciplinary rehabilitation program for mHDGECs (with HRQoL among the main outcome measures) (HR)QoLm SF-36c 40%, 13%
 Reyes (2015) [46] Australia Quantitative randomized-controlled trial—pilot study

mHDGECs, 18

training (n = 9)

control (n = 9)

56

50

67%

56%

To evaluate the effects of a 4-month respiratory muscle training on pulmonary and swallowing function in mHDGECs (with QoL among the main outcome measures) Swallow QoL +  Swal-QoLc 80%, 13%
 Ringqvist (2021) [47] Sweden Quantitative non-randomized—cohort study mHDGECs, 20 52 20% To assess the effect and tolerability of a 25-day multimodal rehabilitation program for mHDGECs on psychiatric symptoms, HRQoL, and psychological health factors HRQoL +  EQ-5Dc 100%, 13%

Mean and percentages in table are rounded

HD Huntington’s disease, N sample size (refers to participants with complete (HR)QoL data. In case of intervention studies, the N refers to the number of participants with complete (HR)QoL data at baseline), (HR)QoL (health-related) quality of life, MMAT mixed-methods appraisal tool, UK United Kingdom, NS not specified, CF cystic fibrosis, rLTND rare long-term neurological conditions, USA United States of America, pHDGECs premanifest Huntington’s disease gene expansion carriers, mHDGECs manifest Huntington’s disease gene expansion carriers, EQ-5D EuroQoL 5D, NR not reported, SF-36 Medical Outcomes Study 36-Item Short Form Health Survey, H-QoL-I Huntington Quality of Life Instrument, NL the Netherlands, WHOQoL-BREF World Health Organization Quality of Life Questionnaire short version, PD Parkinson’s disease, MND motor neuron disease, MS multiple sclerosis, ATC Assistive Technology for Cognition, WHODAS WHO Disability Assessment Schedule, Patient-Reported Outcomes Measurement Information System, EU European, HDQLIFE Huntington Disease Quality of Life, SF-12 Medical Outcomes Study 12-Item Short Form Health Survey, QoLI Quality of Life Inventory, RCT randomized-controlled trial

aIn case country of study/recruitment is not reported, country is based on author(s) affiliations

bStudy sample not clearly reported; decisions were based on reported characteristics of the study sample. In case of reported disease onset/duration, we grouped participants as mHDGECs. NS refers to articles that did not include sufficient information on the study sample (i.e., “HD gene-positive individuals” for Chapman 2002 and “HD patients” for McCabe 2009a)

cGeneric (HR)QoL instrument

dThe study also included pHDGECs but not as a sub-identifiable group as pHDGECs were grouped together with persons at risk

eStudy also reports relevant findings (e.g., evaluation of (HR)QoL or associated factors thereof) although this was not reported as part of the initial aim

fGroup A: pHDGECs furthest from predicted age of HD onset (n = 61); Group B: pHDGECs closest to predicted age of HD onset (n = 57)

gGroup C: mHDGECs in early stage I of the disease (n = 75); Group D: mHDGECs in early stage II of the disease (n = 42)

hDisease-specific (HR)QoL instrument

iMedian age for combined sample of pHDGECs and mHDGECs

jValue reported for combined sample of pHDGECs and mHDGECs

kAge range (30–84 years) was reported

lThe authors used others methods of data collection (i.e., interviews with family members and nurses, and qualitative observations of interaction between patients and nurses together), however only the results of the qualitative interviews with patients are reported as the data collection methods are not in accordance with our inclusion criteria)

mQOL and HRQOL was not used among the aim, but was used interchangeably in the main outcome measure section of the abstract and methods

+Intended construct of (HR)QoL corresponds with actual labeling of the tool

Intended construct of (HR)QoL does not correspond with actual labeling of the tool

+ −Intended construct of (HR)QoL corresponds to some of the labels of the included tools