QUALITY ASSESSMENT SCALE

Table A

Table B

Table C

Table D


QUALITY ASSESSMENT SCALE [posted as supplied by author]

The scale is adapted from the NHS Centre for Reviews and Dissemination guidelines for quality assessment of observational studies. It is divided into three parts, each with several items. A score is given in each item. These are summed to calculate an overall total for the scale (maximum of 24 points). The final score is converted in a proportion for an easier understanding of the quality score.

PART 1: Study Design

 

High quality (1.5)

Fair quality (1)

Poor quality (0.5)

Unknown (0)

Study design

Prospective

Cross-sectional

Retrospective

 

Inclusion and

exclusion criteria

Detailed description of both & appropriate

Sufficient description & appropriate

Basic and insufficient information

 

Baseline

characteristics

No imp. confounders

One important confounder

More than one imp. confounder

 

Generalisability of sample

Randomised & diverse sample

Some criteria that may indicate selectivity

Highly selected sample (place of care, wishes)

 

Sample size

More than 200

100-200

Less than 100

 

Assessment of

place of death

Death certificates or files with clear and standard assessment

Files or reliable accounts (proximity of respondent, time distance)

Accounts poorly reliable

 

Assessment of

the factor(s)

Standardized & appropriated for the variable(s)

Reliable accounts

(proximity of respondent, time distance)

Non systematic, unreliable or inappropriate

 

Appropriateness of study design

High appropriateness

(1.5)

Appropriate (1)

Poor appropriateness

(0.5)

Not appropriate (0)

Can the study be generalized, can it offer a reliable account of reality and is it appropriate to the issue, having in mind ethical issues?

PART 2: Conduct of the Study

 

High quality (1.5)

Fair quality (1)

Poor quality (0.5)

Unknown (0)

Response rate *

80% or more

60-79

Less than 60

 

Reasons for non-response/

drop-out/missing data

Low & controlled or incontrollable

Acceptable & if reasons are not imp for results

High and reasons with predicted impact on results

 

*Flexible criteria

PART 3: Analysis

Description

 

Well reported (1)

Sufficiently reported (0.5)

Poorly reported or unknown (0)

Analysis procedures/

statistical tests

Tests used & significance criteria presented

General analysis & significance criteria (even if not presented, easily inferred)

 

Results

P values or CIs

One of the two

 

Quality

 

High quality (2)

Fair quality (1)

Poor quality (0)

Analysis procedures/statistical tests

Multivariate

Bivariate

 

Results

No errors in presentation and interpretation

Few minor errors

Important errors

Appropriateness

High appropriateness

(3)

Appropriate (2)

Poor appropriateness

(1)

Not appropriate (0)

Was the analysis appropriate, rigorously applied and correctly interpreted? Does it offer a reliable account of reality?


Table A Electronic databases and journals handsearched [posted as supplied by author]

Electronic searches

Journals handsearched

Databases

Keywords

MESH headings

MEDLINE (on OVID, 1966-3rd Sep2004)

1. death adj2 (place or site or location or home$ or hospital$ or hospice$).mp.

2. dying adj2 (place or site or location or home$ or hospital$ or hospice$).mp.

3. 1 or 2

4. (factor$ or determinant$ or predict$ or affect$ or influence$ or associat$ or difference$ or relat$) adj3 3

5. terminal$ or palliative or end of life or advanced disease or hospice$

6. 5 or (subject headings)

7. 4 and 6

Palliative care

Terminal care

Hospice care

Palliative Medicine (2003/4)

Journal of Palliative Care (2003/4)

Journal of Pain and Symptom Management (2003/4)

Journal of Palliative Medicine (1998 to 2000; 2003/4)

Supportive Care in Cancer (2003/4)

BMC Palliative Care (2002 to 2004) -available online

PsycINFO (on OVID, 1972-3rd Sep2004)

Palliative care

Terminal cancer

Terminally ill patients

Hospice

Death and Dying

CINAHL (on OVID, 1982-3rd Sep2004)

Palliative care

Terminal care

Hospice and palliative nursing

Hospices

ASSIA (1987-3rd Sep2004)

1. death within 2 (place or site or location or home* or hospital* or hospice*)

2. dying within 2 (place or site or location or home* or hospital* or hospice*))

3. 1 or 2

4. (factor* or determinant* or predict* or affect* or influence* or associat* or difference* or relat*)

5. 3 and 4

6. terminal* or palliative or end of life or advanced disease or hospice* or (subject headings)

7. 5 and 6

Palliative care

Terminal care

Hospices

The journals selected for handsearching were the most frequent sources of studies included in the review or were suggested for further consultation by a library expert. Journal of Palliative Medicine was additionally handsearched for 1998-2000 as it is not indexed during this period in any of the used databases.

 

Table B High quality studies: multivariate analysis and quality score of 70% or greater (n studies=25; n patients=1,413,612) [posted as supplied by author]

Authors and reference

Year of publication (study period)

Country

Study design

Setting

Sample size

Data collection methods

Categories of

place of death

Analysis

Home death

%

Quality score

%

Burge et al. (w1)

2003

(1992-97)

Canada,

Nova Scotia

Retrospective cohort

General population

13936

2 health databases, including death certificate data

Hospital vs. out of hospital

Multivariate logistic regression

?

88%

Hunt et al. (w2)

1993

(1990)

South Australia

Retrospective cohort

General population

2715

Central cancer registry and death certificate data

Metropolitan public hospital, vs. home (among others)

Unconditional logistic regression

14%

88%

Jordhoy et al. (w17) *

Ahlner-Elmqvist et al. (w16)

2003

2000

(1995-97)

Norway, Trondheim

RCT

RCT: palliative vs conventional care

395

Clinical records

Home vs. elsewhere

Multivariate regression

20%

88%

77%

Bruera et al. (w3)

2003

(1996/98)

US,

Houston

Retrospective cohort

General population

11694

Death certificates

Home vs. hospital

Multivariate logistic regression

35%

85%

Costantini et al. (w4)

1993

(1986-90)

Italy,

Genoa

Retrospective cohort

General population

12343

Death certificates

Home vs. hospital

Multivariate logistic regression

28-33%

85%

Costantini et al. (w5)

2000

(1991)

Italy,

Liguria

and Toscana

Cross-sectional, with ecological analysis

General population

17597

Death certificates

Home vs. hospital

Multivariate logistic regression

31-73%

83%

Mor and Hiris (w6)

1983

(1981-82)

US

Cross-sectional

Hospice (home and inpatient)

3257

National Hospice Study: clinical records

Home vs. medical setting

Discriminant function analysis

48%

83%

Burge et al. (w7)

2003

(1992-97)

Canada,

Nova Scotia

Retrospective cohort

Patients with a minimum of 3 home visits

9714

4 health databases, including death certificate data

Hospital vs. out of hospital

Multivariate logistic analysis

?

81%

Cantwell et al. (w8)

2000

(10 months)

Canada, Edmonton

Cross-sectional

Palliative home care

67

Questionnaires

Home vs. hospital or hospice

Logistic regression

47%

81%

Gallo et al. (w9)

2001

(1994)

US,

Connecticut

Retrospective cohort

General population

4766

Tumour registry

Home vs. institutional

Multivariate relative risk regression

29%

81%

Higginson et al. (w10) *

Higginson et al. (w11) *

1999

1998

(1985-94)

UK, England

Ecological cross-sectional

General population

1.3 million

Death certificates

Home vs. elsewhere

Multiple regression analysis

27%

(5-75%)

81%

63%

Moinpour and Polissar (w12)

1989

(1980-85)

US,

Washington

Retrospective cohort

General population

26500

Cancer surveillance system and clinical records

Home vs. elsewhere

Logistic regression

33%

81%

Higginson and Costantini (w13)

2002

(6 months)

UK, Italy, Ireland

Prospective cohort

Palliative care teams (mainly community)

1326

Clinical records

Home vs. elsewhere

Multivariate logistic regression

45-72%

79%

Karlsen and Addington-Hall (w14)

1998

(1995-96)

UK,

London

Retrospective cohort survey

General population

229

Death certificates and questionnaires

Home vs. elsewhere

Logistic regression

21%

79%

McCusker (w15)

1983

(1976-78)

US,

New York

Retrospective cohort

General population

2989

Tumour registry, including death certificate data

Home vs. acute hospital or chronic care facility

Logit model

18%

79%

Bruera et al. (w18)

2002

(1997-98)

US,

Texas

Retrospective cohort

Cancer centre

1305

Tumour registry and death certificates

Hospital vs. home

Multivariate logistic regression

34%

77%

Hunt and McCaul (w19)

1996

(1990)

South Australia

Retrospective cohort

Hospice and palliative care services

2207

Cancer registry, death certificates

Metropolitan public hospital vs. private hospital, country hospital, nursing home or home

Polytomous logistic regression

14%

77%

Tang (w20)

2002

(1991-97)

Taiwan

Cross-sectional

Home care programme

264

Clinical records

Home vs. hospital

Logistic regression

69%

77%

Izquierdo-Porrera et al. (w21)

2001

(1995-97)

Spain,

Catalonia

Cross-sectional

Palliative care unit

199

Clinical records

General hospital vs. elsewhere

Multivariate Logistic regression

36%

75%

De Conno et al. (w22)

1996

(1989-91)

Italy,

Milan

Cross-sectional

Home care programme

348

Clinical records, routine interviews

Hospital vs. elsewhere

Multivariate Log-linear model

86%

73%

Edmonds et al. (w23)

2000

(1995)

Ireland

Cross-sectional

6 home care teams

508

Clinical records

Hospital vs. elsewhere

Logistic regression analysis

75%

73%

Fukui et al. (w24)

2004

(2002)

Japan

Retrospective cohort survey

241 home palliative care agencies

428

Questionnaires

Home vs. hospital

Multiple logistic regression

65%

73%

Bass et al. (w25) *

Bass et al. (w26) *

1984

1985

(1980-81)

US,

Ohio

Cross-sectional

Home hospice programme

146

Clinical records and interviews

Home vs. elsewhere

Regression analysis

57%

71%

Brazil et al. (w27)

2002

(1997-99)

Canada,

Ontario

Retrospective cohort survey

Home palliative care

151

Interviews

Home vs. elsewhere

Multivariate logistic regression

63%

71%

Fukui et al. (w28)

2003

(2001)

Japan

Retrospective cohort survey

259 home palliative care agencies

528

Questionnaires

Home vs. hospital

Multiple logistic regression

65%

71%

  • Studies with 2 papers reporting the same set of data.

 

Table C Medium quality studies: multivariate analysis and quality score less than 70% or univariate analysis and quality score of 60% or greater (n studies=17; n patients=77,828) [posted as supplied by author]

Authors and reference

Year of publication

(study period)

Country

Study design

Setting

Sample size

Data collection methods

Categories of place of death

Analysis

Home death

%

Quality score

%

Mann et al. (w29)

1993

(1980-90)

US,

New York

Retrospective cohort

Gynaecologic patients of tertiary care facility

454

Gynaecologic tumour registry

Hospital vs. home

Discriminant function analysis

22%

65%*

Gyllenhammar et al. (w30)

2003

(1999)

Sweden

Cross-sectional

5 palliative home care teams

221

Clinical records

Home vs. elsewhere

Logistic regression analysis

53%

56%*

Higginson and Wilkinson (w31)

2002

(1997-99)

UK

Cross-sectional

Marie Curie home nursing services

13311

Marie Curie NurseLink System

Home vs. elsewhere

Multivariate analysis

94%

52%*

Sims et al. (w32)

1997

(1995)

UK, Doncaster

Retrospective cohort

General population

820

Death certificates

Home, hospital, hospice, other

χ²

27%

77%

Grande et al. (w33)

1999

(?)

UK, Cambridge

RCT

RCT: hospital at home vs. standard care

229

Death certificates and unknown method

Home

χ²

58; 78%

73%

Addington-Hall et al. (w34)

1998

(1990)

UK

Retrospective cohort survey

General population

2051

Death certificates and interviews

Home, hospital, hospice, other

χ²

29%

69%

Grande et al. (w35)

2003

(16 months)

UK, Cambridge

Case control

Trial: hospital

at home and

cancer registry

327

Cancer registry, clinical records

Home, inpatient care

χ², t-tests, Mann-

Whitney U

39%

69%

Roder et al. (w36)

1987

(1981;85)

South Australia

Retrospective cohort

General population

1582

Death certificates

Hospital, hospice, nursing home, home

χ²

14%

69%

Davison et al. (w37)

2001

(1977; 87; 97)

Ireland, Belfast

Retrospective cohort

General population

1324

Death certificates

Home, hospital, hospice

χ²

35-28%

67%

Catalan-Fernandez et al. (w38)

1991

(1984-86)

Spain, Majorca

Retrospective cohort survey

General population

335

Tumour registry, clinical records and interviews

Home, hospital

χ², Kruskal-Wallis test

46%

67%

Thorne et al. (w39)

1994

(1991-92)

UK,

Exeter

Retrospective cohort

General population

1022

Death certificates

Home, community hospital, specialist services, nursing or residential home, hospice

χ², t-tests

34%

67%

Flynn and Stewart (w40)

1979

(1957-74)

US,

Ohio

Retrospective cohort

General population

55288

Death certificates

Hospital, nursing home, home

χ²

20%

65%

Goodwin et al. (w41)

2003

(8 months)

UK

Quasi-experimental comparative

Trial - palliative day care

173

Interviews

Home, hospital, hospice

χ²

31%

65%

Hinton (w42)

1994

(2 years)

UK,

London

Cross-sectional

Hospice home care service

338

Clinical records

Home, inpatient

χ²

27%

65%

McWhinney et al. (w43)

1995

(1988-90)

Canada, Ontario

Case control

Palliative care home team

150

Clinical records

Home, hospital

χ² and t-tests

28%

65%

Axelsson and Christensen (w44)

1996

(1990)

Sweden, Jamtland

Cross-sectional

General population

203

Death certificates and clinical records

Home, nursing home, hospital

χ²

12%

63%

Higginson et al. (w45)

1994

(1988-92)

UK,

London

Retrospective cohort

General population

?

Death certificates

Home

Spearman’s r

5-46%

63%

* - Studies that performed multivariate analysis but scored lower than 70% in the quality assessment.

 

Table D Low quality studies: univariate analysis and quality score less than 60% (n studies=16; n patients= 38,502) [posted as supplied by author]

Authors and references

Year of publication (study period)

Country

Study design

Setting

Sample size

Data collection methods

Categories of place of death

Analysis

Home death

%

Quality score

%

Hinton (w42) *

Hinton (w46) *

1994

1998

(2 years)

UK,

London

Prospective cohort

Hospice home care service

77

Interviews

Home, hospital, hospice

McNemar, χ², t-tests

28%

58%

50%

Maida (w47)

2002

(1997-99)

Canada,

Ontario

Retrospective cohort

Home palliative care

402

Clinical records

Home, hospital

χ², t-tests, Mann-Whitney U

55%

58%

Woo et al. (w48)

1991

(1982-90)

Australia,

Sydney

Retrospective cohort

Veterans hospital, patients with colorectal cancer

69

Colorectal cancer registry, clinical records and interviews with the patient’s doctor

Home, nursing home, hospice, hospital

χ²

12%

58%

Andershed and Ternestedt (w49)

1997

(1990-94)

Sweden,

örebro

Cross-sectional + retrospective cohort data

Hospital and hospital based home care

1464

Cancer registry and clinical records

Home, hospital, hospice, geriatric department, acute hospital

χ²

?

56%

Jimeno Aranda et al. (w50)

1993

(1980-89)

Spain,

Zaragoza

Retrospective cohort

Patients with gastric cancer

539

Cancer registry

Home, hospital

χ², t-tests

46%

54%

Dunphy and Amesbury (w51)

1990

(1988)

UK,

London

Retrospective cohort

Hospice (inpatient and home care)

140

Clinical records

Home, hospice, hospital

χ²

61%

52%

Loven et al. (w52)

1990

(one year)

Israel,

Petah Tiqva

Cross-sectional

Home care service

58

Clinical records

Home, general hospital, chronic hospital

Fisher’s exact test

29%

52%

Ward (w53)

1974

(1971)

UK,

Sheffield

Retrospective cohort survey

General population

279

Death certificates and interviews

Home, hospital

χ²

44%

52%

Duke (w54)

1997

(1978, 89)

UK,

Oxford

Comparison of 2 cross-sectional groups

Hospice (inpatient and home care)

467

Clinical records

Hospice, home, hospital, other

χ²

19%

50%

Gomas (w55)

1993

(1985-91)

France

Cross-sectional

Home care

171

Medical records?

Home, institution

?

37%

46%

Johnson et al. (w56)

1988

(1984-86)

UK,

Sheffield

Cross-sectional

Home relative support scheme

171

?

Home, hospice, hospital

‘analysis for trend’

60%

44%

Polissar et al. (w57)

1987

(1968-81)

US,

Washington

Retrospective cohort

General population

33865

Death certificates and cancer surveillance system

Home, hospital, nursing home, other

‘cross-tabulation and simple graphs’

15%

42%

Gilbar and Steiner (w58)

1996

(1992-93)

Israel,

Haifa

Retrospective cohort

Home care unit

171

Clinical records

?

ANOVA analysis

?

40%

Malden et al. (w59)

1984

(1979-81)

Australia,

Sydney

Case control

2 medical oncology units

225

Clinical records

Oncology unit, home, nursing care facility, others

?

18%

40%

Kane et al. (w60)

1984

(?)

US,

Los Angeles

RCT

RCT – hospice vs. conventional care

247

Clinical records, interviews

Hospice, hospital, home

?

3; 7%

33%

Herd (w61)

1990

(1987)

UK,

West Cumbria

Retrospective cohort survey

General population

157

Death certificates and interviews

Home, hospital

?

53%

33%

* Studies with 2 papers reporting the same set of data.





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