Quality of life during the transition to parenthood in Hong Kong: a longitudinal study

Ngai, Fei Wan; Ngu, Siew Fei

doi:10.3109/0167482x.2013.852534

Cited by 18 publications

(14 citation statements)

References 27 publications

(51 reference statements)

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“…The Chang et al studies 113,114 were conducted in Taiwan, and the Hoedjes et al study 115 was conducted in the Netherlands, but mapping both from SF-36 to EQ-5D supports that the utility score for women at 6 months post partum is approximately 0.92. A close value, 0.89, was obtained by mapping SF-12 values to EQ-5D utility scores at 6 months post partum from Ngai et al, 118 a Hong Kong study (see Table 37). Likewise, the Dutch study, by Jansen et al, 116 produced a mean utility score of 0.89 when mapped from SF-36 for women at 6 weeks post partum.…”

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confidence: 67%

“…111,112,115,116,119 Four studies had relatively small patient numbers (fewer than 250 total participants). [116][117][118]120 Only the Petrou et al 119 and the Bijlenga et al 111,112 studies utilised the EQ-5D questionnaire. Petrou et al used the EQ-5D in a general pregnancy population, with two groups of patients classified by spontaneous or non-spontaneous birth.…”

Section: Hrqol Evidence From Additional Systematic Searchesmentioning

confidence: 99%

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Placental growth factor (alone or in combination with soluble fms-like tyrosine kinase 1) as an aid to the assessment of women with suspected pre-eclampsia: systematic review and economic analysis

Frampton

Jones

Rose

et al. 2016

Health Technol Assess

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growth factor (alone or in combination with soluble fms-like tyrosine kinase 1) as an aid to the assessment of women with suspected pre-eclampsia: systematic review and economic analysis. Health Technol Assess 2016;20(87).Health Technology Assessment is indexed and abstracted in Index Medicus/MEDLINE, Excerpta Medica/EMBASE, Science Citation Index Expanded (SciSearch ® ) and Current Contents ® / Clinical Medicine. This journal is a member of and subscribes to the principles of the Committee on Publication Ethics (COPE) (www.publicationethics.org/). Health Technology Assessment NICE TAR and DAREditorial contact: nihredit@southampton.ac.ukThe full HTA archive is freely available to view online at www.journalslibrary.nihr.ac.uk/hta. Print-on-demand copies can be purchased from the report pages of the NIHR Journals Library website: www.journalslibrary.nihr.ac.uk Criteria for inclusion in the Health Technology Assessment journalReports are published in Health Technology Assessment (HTA) if (1) they have resulted from work for the HTA programme, and (2) they are of a sufficiently high scientific quality as assessed by the reviewers and editors.Reviews in Health Technology Assessment are termed 'systematic' when the account of the search appraisal and synthesis methods (to minimise biases and random errors) would, in theory, permit the replication of the review by others. HTA programmeThe HTA programme, part of the National Institute for Health Research (NIHR), was set up in 1993. It produces high-quality research information on the effectiveness, costs and broader impact of health technologies for those who use, manage and provide care in the NHS. 'Health technologies' are broadly defined as all interventions used to promote health, prevent and treat disease, and improve rehabilitation and long-term care.The journal is indexed in NHS Evidence via its abstracts included in MEDLINE and its Technology Assessment Reports inform National Institute for Health and Care Excellence (NICE) guidance. HTA research is also an important source of evidence for National Screening Committee (NSC) policy decisions.For more information about the HTA programme please visit the website: http://www.nets.nihr.ac.uk/programmes/hta This reportThe research reported in this issue of the journal was commissioned and funded by the HTA programme on behalf of NICE as project number 14/69/05. The protocol was agreed in March 2015. The assessment report began editorial review in September 2015 and was accepted for publication in June 2016. The authors have been wholly responsible for all data collection, analysis and interpretation, and for writing up their work. The HTA editors and publisher have tried to ensure the accuracy of the authors' report and would like to thank the reviewers for their constructive comments on the draft document. However, they do not accept liability for damages or losses arising from material published in this report.This report presents independent research funded by the National Institute for Health Research (NIHR). The ...

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confidence: 67%

Section: Hrqol Evidence From Additional Systematic Searchesmentioning

confidence: 99%

Placental growth factor (alone or in combination with soluble fms-like tyrosine kinase 1) as an aid to the assessment of women with suspected pre-eclampsia: systematic review and economic analysis

Frampton

Jones

Rose

et al. 2016

Health Technol Assess

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“…Thirteen studies were conducted during the first trimester of pregnancy [ 17 , 20 , 22 , 23 , 26 , 30 , 38 – 40 , 44 – 47 ], eleven were from the second trimester [ 14 , 16 , 24 , 35 , 38 – 41 , 45 , 46 , 48 ], eighteen were from the 3rd trimester [ 14 , 18 , 19 , 27 , 29 , 31 , 33 , 34 , 37 – 42 , 46 , 48 – 50 ] and six studies focused on the entire pregnancy [ 25 , 28 , 32 , 36 , 43 , 51 ]. In measuring the quality of life, nineteen studies used SF-36 [ 14 , 17 – 19 , 21 , 22 , 25 – 27 , 30 , 33 , 34 , 38 – 41 , 44 , 46 , 51 ], twelve studies used SF-12 [ 16 , 20 , 23 , 24 , 28 , 29 , 35 , 42 , 43 , 46 , 48 , 50 ], two studies used the WHOQOL Brief [ 32 ...…”

Section: Resultsmentioning

confidence: 99%

“…A significant correlation was found between subjective comfort and QOL in vitality (p < 0.001) and mental health (p < 0.001) Nicholson WK (2006) [ 31 ] Ethnicity*, Income*, Social Support* Depressive Symptoms*, Multi-parity* Chronic illness Ethnicity: African Americans / Whites: PF: − 15 (− 22;-8) RP: − 28 (− 41, − 15), GH: − 11 (− 19; − 13)(, VT: − 13(− 28;-3): SF: − 7 (− 8; − 6), Income: GH -10 (− 17; − 3), SF -4 (− 5, − 3), MH -9 (− 15; − 4); Social support: PR: 30 (6,55) GH: 9 (5,15), MH: 14 (12; 16) Multi-parity (> 2 previous deliveries): PR: 18 (7;30), SF: 17 (16, 18); Depressive symptoms: PR: − 50 (p = 0.006); BP: − 12 ( p = 0.01); GH: − 10 (p = 0.01); VT = − 20 ( p > 0.001); SF = − 38 ( p < 0.01); ER: − 40 (p < 0.01); MH = − 24 (p < 0.01); Still significant in multivariable analysis Olsson C (2004) [ 32 ] Back pain The QOL was lower in the PW group with back pain group (16 ± 16) ( p = 0.000), also found in the sleep subcategories (P = 0.003), energy ( p = 0.024), pain (p = 0.000) and physical mobility (p = 0.000). The PW group with back pain had a higher rate of occupational withdrawal (57%, p = 0.005), aptitude for household work (62%, p = 0.002), Social life (35%, p = 0.007) and leisure time (68%, P = 0.001) Ramirez-Vélez (2011) [ 34 ] Age*, Educational Status*, Socioeconomic levels*, Work status*, Marital Status*, Gestational weeks Age: PF: r = − 0.17 (p < 0.05); Educational Status: GH: r = 0.34 (p < 0.001) Socioeconomic levels: PR r = 0.17 (p < 0.05); GH r = 0.29 (p < 0.001); SF: r = 0.19 (p < 0.05); ER: r = 0.27 (p < 0.01); MH: r = 0.22 (p < 0.01) Occupation (housewife): PR: r = 0.20 (p < 0.01); GH: r = 0.19 (p < 0.05); Marital Status (Being married or cohabiting): PF: r = 0.15 (p < 0.05) PR: r = 0.16 (p < 0.05) GH: r = − 0.22 (p < 0.01) VT: r = 0.19 (p < 0.05) SF: r = − 0.23 (p < 0.01) ER: r = − 0.19 (p < 0.01) MH: r = − 0.25 (p < 0.01) Setse R (2008) [ 43 ] Depressive symptoms* In the 1st trimester: PW not depressed: PF = 82; PR = 59; BP = 77; GH = 65; VT = 47; SF = 81; ER = 87; MH = 79 Depressed PW: PF = 78; PR = 39; BP = 59; GH = 51; VT = 35; SF = 54; RE = 41; MH = 57 Depressed PW had a significantly worse QOL on the following SF36 conditions: physical pain, vitality, social functioning, functioning related to mental health, mental health. These PW had QOL scores of 10–23 points and 19–31 points lower in the 2nd and 3rd trimester Shishehgar S (2014) [ 33 ] Perceived stress during pregnancy * Significant relationship between QOL and stress rate ( p ...…”

Section: Resultsmentioning

confidence: 99%

Factors influencing the quality of life of pregnant women: a systematic review

Lagadec

Steinecker

Kapassi

et al. 2018

BMC Pregnancy Childbirth

225

159

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BackgroundPregnancy is a period of transition with important physical and emotional changes. Even in uncomplicated pregnancies, these changes can affect the quality of life (QOL) of pregnant women, affecting both maternal and infant health. The objectives of this study were to describe the quality of life during uncomplicated pregnancy and to assess its associated socio-demographic, physical and psychological factors in developed countries.MethodsA systematic review was performed according to the PRISMA guidelines. Searches were made in PubMed, EMBASE and BDSP (Public Health Database). Two independent reviewers extracted the data. Countries with a human development index over 0.7 were selected. The quality of the articles was evaluated on the basis of the STROBE criteria.ResultsIn total, thirty-seven articles were included. While the physical component of QOL decreased throughout pregnancy, the mental component was stable and even showed an improvement during pregnancy. Main factors associated with better QOL were mean maternal age, primiparity, early gestational age, the absence of social and economic problems, having family and friends, doing physical exercise, feeling happiness at being pregnant and being optimistic. Main factors associated with poorer QOL were medically assisted reproduction, complications before or during pregnancy, obesity, nausea and vomiting, epigastralgia, back pain, smoking during the months prior to conception, a history of alcohol dependence, sleep difficulties, stress, anxiety, depression during pregnancy and sexual or domestic violence.ConclusionsHealth-related quality of life refers to the subjective assessment of patients regarding the physical, mental and social dimensions of well-being. Improving the quality of life of pregnant women requires better identification of their difficulties and guidance which offers assistance whenever possible.

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“…Quality of life is subjective by nature and is associated both with health-related and with non-medically related factors [ 3 ]. Women experience changes in their quality of life during pregnancy and the postpartum period [ 4 – 6 ].…”

Section: Introductionmentioning

confidence: 99%

Cultural differences in postnatal quality of life among German-speaking women – a prospective survey in two countries

Grylka‐Baeschlin

Teijlingen

Groß

2014

BMC Pregnancy Childbirth

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BackgroundAssessment of quality of life after childbirth is an important health-outcome measurement for new mothers and is of special interest in midwifery. The Mother-Generated Index (MGI) is a validated instrument to assess postnatal quality of life. The tool has not been applied for making a cross-cultural comparison before. This study investigated (a) responses to the MGI in German-speaking women in Germany and Switzerland; and (b) associations between MGI scores on the one hand and maternity and midwifery care on the other.MethodsA two-stage survey was conducted in two rural hospitals 10 km apart, on opposite sides of the German-Swiss border. The questionnaires included the MGI and questions on socio-demographics, physical and mental health and maternity care, and were distributed during the first days after birth and six weeks postpartum. Parametric and non-parametric tests were computed with the statistical programme SPSS.ResultsA total of 129 questionnaires were returned an average of three days after birth and 83 in the follow-up after seven weeks. There were no statistically significant differences in the MGI scores between the German and the Swiss women (p = 0.22). Significantly more favourable MGI scores were found associated with more adequate information during pregnancy (p = 0.02), a more satisfactory birth experience (p < 0.01), epidural anaesthesia (p < 0.01), more information (p = 0.01) and better support (p = 0.02) during the time in hospital and less disturbed sleep (p < 0.01). Significantly lower MGI scores were associated with the presence of a private doctor during birth (p = 0.01) and with exclusive breastfeeding during the first postnatal days (p = 0.04).ConclusionThe MGI scores of these German-speaking women were higher than those in other studies reported previously. Thus the tool may be able to detect differences in postnatal quality of life among women with substantially divergent cultural backgrounds. Shortcomings in maternity and midwifery care were detected, as for example the inadequate provision of information during pregnancy, a lack of individualised postpartum care during the hospital stay and insufficient support for exclusively breastfeeding mothers. The MGI is an appropriate instrument for maternity care outcome measurement in cross-cultural comparison research.

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Quality of life during the transition to parenthood in Hong Kong: a longitudinal study

Cited by 18 publications

References 27 publications

Placental growth factor (alone or in combination with soluble fms-like tyrosine kinase 1) as an aid to the assessment of women with suspected pre-eclampsia: systematic review and economic analysis

Placental growth factor (alone or in combination with soluble fms-like tyrosine kinase 1) as an aid to the assessment of women with suspected pre-eclampsia: systematic review and economic analysis

Factors influencing the quality of life of pregnant women: a systematic review

Cultural differences in postnatal quality of life among German-speaking women – a prospective survey in two countries

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