Table 1.
Author | Year | Country | Key method contribution |
Suitability of houseold and provider data for linking analyses
| |||
Ayede et al8 | 2018 | Nigeria | Accuracy of maternal report of pneumonia symptoms measured through household survey. |
Blanc et al17 | 2016 | Mexico | Accuracy of maternal report of delivery/immediate PNC attendant measured through household survey. |
Blanc et al18 | 2016 | Kenya | Accuracy of maternal report of delivery/immediate PNC attendant measured through household survey. |
Carter et al15 | 2018 | Zambia | Accuracy of maternal report of care-seeking for child illness measured through household survey. |
Chang et al14 | 2018 | Nepal | Accuracy of maternal report of birth weight and preterm birth measured through household survey. |
D’Acremont et al10 | 2010 | SSA | Reduced proportion of fever cases that are malaria. |
Hazir et al9 | 2013 | Pakistan and Bangladesh | Accuracy of maternal report of pneumonia symptoms measured through household survey. |
Keenan et al12 | 2017 | USA | Accuracy of maternal recall of birth complications. |
Shengelia et al7 | 2005 | – | Effect of true versus perceived intervention need on effective coverage estimation. |
Stanton et al16 | 2013 | Mozambique | Accuracy of maternal report of place of delivery measured through household surveys. |
Fischer Walker et al11 | 2013 | – | Issues with measurement of child diarrhoea through household surveys. |
Wang et al19 | 2018 | Multiple Regions | Issues with provider categories and alignment between DHS and SPA surveys. |
Zimmerman et al13 | 2019 | Ethiopia | Reliability of maternal report of maternal and newborn birth complications. |
Suitability of household and provider data for linking analyses
| |||
Akachi and Kruk57 | 2017 | – |
|
Carter et al33 | 2018 | Zambia | Quality score for child health effective coverage. |
Chou et al39 | 2019 | Multiple Regions | Quality score for maternal and neonatal health effective coverage. |
Davis et al32 | 2006 | High-income countries | Agreement between provider self-assessment and observed quality. |
Diamond-Smith et al24 | 2016 | Kenya and Namibia | Association between maternal perception of care and measured structural and process quality. |
Fisseha et al51 | 2017 | Ethiopia | Internal consistency of structural and process quality indicator. |
Gabrysch et al45 | 2011 | Zambia | Quality score for labour and delivery effective coverage. |
Getachew et al25 | 2020 | Ethiopia | Association between caregiver perception of care and measured structural and process quality. |
Hoogenboom et al27 | 2015 | Thai-Myanmar Border | Agreement between facility records and observed care. |
Hrisos et al30 | 2009 | High-income countries | Systematic review of agreement between observed quality of care and provider self-report, patient-report, and/or chart review. |
Jackson et al53 | 2015 | Tanzania | PCA to reduce quality index. |
Joseph et al42 | 2020 | Malawi |
|
Kanyangarara et al37 | 2017 | SSA | Quality score for ANC effective coverage. |
Kruk et al55 | 2017 | SSA | Association between structural and process quality. |
Larson et al26 | 2014 | Tanzania |
|
Leegwater et al59 | 2015 | – | Association between UHC index and infant mortality and life expectancy at national level. |
Leslie et al58 | 2016 | Malawi | Association between quality of delivery care and neonatal mortality. |
Leslie et al41 | 2017 | SSA |
|
Leslie et al54 | 2018 | Multiple Regions | Performance of approaches for generating service readiness indices. |
Leslie et al46 | 2019 | Mexico | Quality score for ANC, labour and delivery, newborn, sick child, chronic conditions, and cancer treatment effective coverage. |
Lozano et al49 | 2006 | Mexico | UHC index using weighted vs simple average of indicators |
Mallick et al52 | 2017 | Haiti, Malawi and Tanzania | Comparison of measures of family planning quality. |
Marchant et al35 | 2015 | Ethiopia, Nigeria and India | Measurement of quality using “last delivery module”. |
Mboya et al36 | 2016 | Tanzania | mHealth tool to measure quality. |
MCSP23 | 2018 | Multiple Regions | Availability and quality of data captured through HMIS. |
Moucheraud and McBride48 | 2020 | SSA and Haiti | Systematic review of quality measures derived from SPA data. |
Munos et al40 | 2018 | Cote D’Ivoire | Quality score for ANC, labour and delivery, PNC, and child health effective coverage. |
Nesbitt et al28 | 2013 | Ghana | Quality score for labour and delivery and PNC effective coverage. |
Nguhiu et al38 | 2017 | Kenya | Quality score for ANC, labour and delivery, sick child, and family planning effective coverage. |
Nickerson et al21 | 2015 | Multiple Regions | Comparison of data collected through health facility assessments. |
Osen et al29 | 2011 | Ghana | Agreement between provider reported and observed surgical service quality. |
Peabody et al31 | 2000 | US | Agreement between vignettes, chart abstraction, and simulated client measures. |
Serván-Mori et al47 | 2019 | Mexico | Quality score for labour and delivery and newborn care effective coverage. |
Sheffel et al22 | 2018 | Multiple regions | Summary of quality data collected through SPA and SPA. |
Sheffel50 | 2018 | Haiti, Malawi, Tanzania | Association between structural and process quality. |
Willey et al44 | 2018 | Uganda | Quality score for labour and delivery and newborn care effective coverage. |
Wilunda et al34 | 2015 | Uganda | Quality score for maternal and neonatal care effective coverage. |
Zurovac et al56 | 2015 | Vanuatu | Poor association between structural quality and clinical care in fever management. |
Implications of design of existing household and provider data sources commonly used in linking analyses
| |||
Bliss et al62 | 2012 | USA | Comparison of distance using centroid vs true location. |
Healy and Gilliland64 | 2012 | Canada and UK | Comparison of distance using centroids of varying areal groupings. |
Jones et al63 | 2010 | USA | Comparison of distance using zip-code centroid versus true household location. |
Nesbitt et al65 | 2014 | Ghana | Comparison of straight-line distance, network distance, raster and network-based travel time distance measures using village versus compound centroid. |
Perez-Heydrch et al60 | 2013 | – | Effect of DHS cluster displacement on distance measures. |
Skiles et al66 | 2013 | Rwanda | Effect of DHS cluster displacement on estimates of service environment. |
Implications of designs of existing household and provider data sources commonly used in linking analyses
| |||
Carter et al33 | 2018 | Zambia | Effect of excluding non-facility providers from sampling frame on effective coverage estimates. |
Munos et al40 | 2018 | Cote d’Ivoire | Effect of excluding non-facility providers from sampling frame on effective coverage estimates. |
Skiles et al66 | 2013 | Rwanda | Effect of facility sampling on estimates of service environment. |
Turner et al67 | 2001 | – |
|
Implications of designs of existing household and provider data sources commonly used in linking analyses
| |||
Baker et al68 | 2005 | Uganda and Tanzania | Stability of facility diagnostic capacity over time. |
Marchant et al69 | 2008 | Tanzania | Stability of IPTp stocks. |
Wang et al71 | 2011 | Multiple Regions | Stability of maternal healthcare-seeking behaviours measured through household survey over time. |
Willey et al44 | 2018 | Uganda | Stability of facility infrastructure indicators for labour, delivery, and newborn care. |
Winter et al70 | 2015 | Multiple Regions | Stability of care-seeking for child illness behaviours measured through household survey over time. |
Impact of choice of method for combining household and provider data
| |||
Carter et al33 | 2018 | Zambia | Comparison of exact match and ecological linking methods in estimating effective coverage in sick child care. |
Munos et al40 | 2018 | Cote d'Ivoire | Comparison of exact match and ecological linking methods in estimating effective coverage in ANC, labour and delivery, PNC and sick child care. |
Willey et al44 | 2017 | Uganda | Comparison of exact match and ecological linking methods in estimating effective coverage in ANC, labour and delivery, PNC and sick child care. |
Impact of choice of method for combining household and provider data
| |||
Carter et al33 | 2018 | Zambia | Comparison of true-source of care for child illness to straight-line and road distance measures. |
Delamater et al74 | 2019 | US | Comparison of FCA, simple distance, and Huff distance measure against true utilisation patterns. |
Gething et al76 | 2004 | Kenya | Comparison of Theissen boundaries and true utilisation patterns. |
Munos et al40 | 2018 | Cote d'Ivoire | Comparison of true-source of care for ANC, labour and delivery, PNC and child illness to straight-line and road distance measures. |
Noor et al72 | 2006 | Kenya | Comparison of true-source of care for child fever to closest by Euclidian and road distance. |
Tanser et al77 | 2001 | South Africa | Comparison of Theissen boundaries and true utilisation patterns. |
Tanser et al73 | 2006 | South Africa | Comparison of typical source of care to closest by travel time. |
Tsoka and Le Sueur75 | 2004 | South Africa | Comparison of Theissen boundaries and true utilisation patterns. |
Impact of choice of method for combining household and provider data
| |||
Sauer et al79 | 2020 | – | Comparison of exact, parametric bootstrap and delta method for estimating effective coverage variance. |
Wang et al19 | 2018 | Multiple Regions | Use of Delta method for estimating effective coverage variance. |
Willey et al44 | 2018 | Uganda | Use of Delta method for estimating effective coverage variance. |
ANC, antenatal care; DHS, Demographic and Health Survey; FCA, floating catchment area; HMIS, Health Management Information Systems; IPTp, intermittent preventive treatment of malaria in pregnancy; LBW, low birthweigh; MCSP, Maternal and Child Survival Program; PCA, principal component analysis; PNC, postnatal care; SPA, Service Provision Assessment; SSA, sub-Saharan Africa; UHC, universal health coverage.