IDEAS home Printed from https://ideas.repec.org/a/eee/jhecon/v35y2014icp34-46.html
   My bibliography  Save this article

Forgetting to remember or remembering to forget: A study of the recall period length in health care survey questions

Author

Listed:
  • Kjellsson, Gustav
  • Clarke, Philip
  • Gerdtham, Ulf-G.

Abstract

Self-reported data on health care use is a key input in a range of studies. However, the length of recall period in self-reported health care questions varies between surveys, and this variation may affect the results of the studies. This study uses a large survey experiment to examine the role of the length of recall periods for the quality of self-reported hospitalization data by comparing registered with self-reported hospitalizations of respondents exposed to recall periods of one, three, six, or twelve months. Our findings have conflicting implications for survey design, as the preferred length of recall period depends on the objective of the analysis. For an aggregated measure of hospitalization, longer recall periods are preferred. For analysis oriented more to the micro-level, shorter recall periods may be considered since the association between individual characteristics (e.g., education) and recall error increases with the length of the recall period.

Suggested Citation

  • Kjellsson, Gustav & Clarke, Philip & Gerdtham, Ulf-G., 2014. "Forgetting to remember or remembering to forget: A study of the recall period length in health care survey questions," Journal of Health Economics, Elsevier, vol. 35(C), pages 34-46.
  • Handle: RePEc:eee:jhecon:v:35:y:2014:i:c:p:34-46
    DOI: 10.1016/j.jhealeco.2014.01.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167629614000083
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jhealeco.2014.01.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Erreygers, Guido, 2009. "Correcting the Concentration Index: A reply to Wagstaff," Journal of Health Economics, Elsevier, vol. 28(2), pages 521-524, March.
    2. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2011. "Too Young to Leave the Nest? The Effects of School Starting Age," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 455-467, May.
    3. Clarke, Philip M. & Fiebig, Denzil G. & Gerdtham, Ulf-G., 2008. "Optimal recall length in survey design," Journal of Health Economics, Elsevier, vol. 27(5), pages 1275-1284, September.
    4. Das, Jishnu & Hammer, Jeffrey & Sánchez-Paramo, Carolina, 2012. "The impact of recall periods on reported morbidity and health seeking behavior," Journal of Development Economics, Elsevier, vol. 98(1), pages 76-88.
    5. Allin, S. & Masseria, C. & Mossialos, E., 2009. "Measuring socioeconomic differences in use of health care services by wealth versus by income," American Journal of Public Health, American Public Health Association, vol. 99(10), pages 1849-1855.
    6. Hugo Benítez-Silva & Moshe Buchinsky & Hiu Man Chan & Sofia Cheidvasser & John Rust, 2004. "How large is the bias in self-reported disability?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 649-670.
    7. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    8. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    9. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 979-1014.
    10. Erreygers, Guido, 2009. "Correcting the Concentration Index," Journal of Health Economics, Elsevier, vol. 28(2), pages 504-515, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bartschat, Maria & Cziehso, Gerrit & Hennig-Thurau, Thorsten, 2022. "Searching for word of mouth in the digital age: Determinants of consumers’ uses of face-to-face information, internet opinion sites, and social media," Journal of Business Research, Elsevier, vol. 141(C), pages 393-409.
    2. Sofia Löfvendahl & Anna Jöud & Ingemar F. Petersson & Elke Theander & Åke Svensson & Katarina Steen Carlsson, 2018. "Income disparities in healthcare use remain after controlling for healthcare need: evidence from Swedish register data on psoriasis and psoriatic arthritis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(3), pages 447-462, April.
    3. DeVolder, Russell & Serra-Sastre, Victoria & Zamora, Bernarda, 2020. "Examining the variation across acute trusts in patient delayed discharge," Health Policy, Elsevier, vol. 124(11), pages 1226-1232.
    4. Hai-Anh H. Dang & Trung X. Hoang & Ha Nguyen, 2021. "The Long-Run and Gender-Equalizing Impacts of School Access: Evidence from the First Indochina War," Economic Development and Cultural Change, University of Chicago Press, vol. 70(1), pages 453-484.
    5. Sung‐Hee Jeon & Jungwee Park & Dafna Kohen, 2023. "Childhood‐onset disabilities and lifetime earnings growth: A longitudinal analysis," Health Economics, John Wiley & Sons, Ltd., vol. 32(8), pages 1749-1766, August.
    6. Dackehag, Margareta & Ellegård, Lina Maria & Gerdtham, Ulf-G & Nilsson, Therese, 2018. "Social Assistance and Mental Health: Evidence from Longitudinal Data on Pharmaceutical Consumption," Working Papers 2018:2, Lund University, Department of Economics.
    7. Vikram Dayal & Anand Murugesan & Tauhidur Rahman, 2022. "Drain on your health: Sanitation externalities from dirty drains in India," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2251-2273, November.
    8. Juan Ignacio Rosales Leal & Cristian Sánchez Vaca & Aleksandra Ryaboshapka & Félix de Carlos Villafranca & Miguel Ángel Rubio Escudero, 2023. "How Confinement and Back to Normal Affected the Well-Being and Thus Sleep, Headaches and Temporomandibular Disorders," IJERPH, MDPI, vol. 20(3), pages 1-13, January.
    9. Bensch, Gunther & Peters, Jörg, 2015. "The intensive margin of technology adoption – Experimental evidence on improved cooking stoves in rural Senegal," Journal of Health Economics, Elsevier, vol. 42(C), pages 44-63.
    10. Alexandre Arthur Guerin & Jee Hyun Kim, 2021. "Age of Onset and Its Related Factors in Cocaine or Methamphetamine Use in Adults from the United States: Results from NHANES 2005–2018," IJERPH, MDPI, vol. 18(22), pages 1-13, November.
    11. Murong Yang & Laurence S. J. Roope & James Buchanan & Arthur E. Attema & Philip M. Clarke & A. Sarah Walker & Sarah Wordsworth, 2022. "Eliciting risk preferences that predict risky health behavior: A comparison of two approaches," Health Economics, John Wiley & Sons, Ltd., vol. 31(5), pages 836-858, May.
    12. Kim Dalziel & Jinhu Li & Anthony Scott & Philip Clarke, 2018. "Accuracy of patient recall for self‐reported doctor visits: Is shorter recall better?," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1684-1698, November.
    13. Malik, Samreen & Mihm, Benedikt & von Suchodoletz, Antje, 2022. "COVID-19 lockdowns and children’s health and well-being," Journal of Economic Psychology, Elsevier, vol. 93(C).
    14. Jiang, Yawen & Ni, Weiyi, 2020. "Impact of supplementary private health insurance on hospitalization and physical examination in China," China Economic Review, Elsevier, vol. 63(C).
    15. Walsh, Brendan & Wren, Maev-Ann & Smith, Samantha & Lyons, Seán & Eighan, James & Morgenroth, Edgar, 2019. "An analysis of the effects on Irish hospital care of the supply of care inside and outside the hospital," Research Series, Economic and Social Research Institute (ESRI), number RS91, June.
    16. Thomas W. H. Ng & Lorenzo Lucianetti & Dennis Y. Hsu & Frederick H. K. Yim & Kelly L. Sorensen, 2021. "You Speak, I Speak: The Social‐Cognitive Mechanisms of Voice Contagion," Journal of Management Studies, Wiley Blackwell, vol. 58(6), pages 1569-1608, September.
    17. Kevin K. Byon & Jingxian (Cecilia) Zhang & Wooyoung (William) Jang, 2022. "Examining the Value Co-Creation Model in Motor Racing Events: Moderating Effect of Residents and Tourists," Sustainability, MDPI, vol. 14(15), pages 1-29, August.
    18. Pattison-Williams, John K. & Haggar, Jeremy P. & Morton, John F., 2018. "Intergenerational perceptions of household wellbeing in India’s Western and Eastern Ghats," World Development Perspectives, Elsevier, vol. 10, pages 51-57.
    19. Isis Gaddis & Gbemisola Oseni & Amparo Palacios-Lopez & Janneke Pieters, 2021. "Measuring Farm Labor: Survey Experimental Evidence from Ghana," The World Bank Economic Review, World Bank, vol. 35(3), pages 604-634.
    20. Pulok, Mohammad Habibullah & van Gool, Kees & Hall, Jane, 2020. "Inequity in physician visits: the case of the unregulated fee market in Australia," Social Science & Medicine, Elsevier, vol. 255(C).
    21. Persson, Sofie & Gerdtham, Ulf-G. & Steen Carlsson, Katarina, 2016. "Labor market consequences of childhood onset type 1 diabetes," Economics & Human Biology, Elsevier, vol. 23(C), pages 180-192.
    22. Steven Masiano & Edwin Machine & Mtisunge Mphande & Christine Markham & Tapiwa Tembo & Mike Chitani & Angella Mkandawire & Alick Mazenga & Saeed Ahmed & Maria Kim, 2021. "Video-Based Intervention for Improving Maternal Retention and Adherence to HIV Treatment: Patient Perspectives and Experiences," IJERPH, MDPI, vol. 18(4), pages 1-16, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ricardo Rodrigues & Stefania Ilinca & Andrea E. Schmidt, 2018. "Income‐rich and wealth‐poor? The impact of measures of socio‐economic status in the analysis of the distribution of long‐term care use among older people," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 637-646, March.
    2. Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017. "Consistent estimation of linear panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
    3. Takahide Yanagi, 2019. "Inference on local average treatment effects for misclassified treatment," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 938-960, September.
    4. Pulok, Mohammad Habibullah & Hajizadeh, Mohammad, 2022. "Equity in the use of physician services in Canada's universal health system: A longitudinal analysis of older adults," Social Science & Medicine, Elsevier, vol. 307(C).
    5. Kjellsson, Gustav, 2014. "Extending Decomposition Analysis to Account for Socioeconomic Background: Income-Related Smoking Inequality among Swedish Women," Working Papers 2014:29, Lund University, Department of Economics.
    6. Paul Allanson & Dennis Petrie, 2021. "A unified framework to account for selective mortality in lifecycle analyses of the social gradient in health," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2230-2245, September.
    7. Gustav Kjellsson, 2018. "Extending decomposition analysis to account for unobserved heterogeneity and persistence in health behavior: Income‐related smoking inequality among Swedish women," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 440-447, February.
    8. Muna Shifa & David Gordon & Murray Leibbrandt & Mary Zhang, 2022. "Socioeconomic-Related Inequalities in COVID-19 Vulnerability in South Africa," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    9. Mohammad Habibullah Pulok & Kees Gool & Mohammad Hajizadeh & Sara Allin & Jane Hall, 2020. "Measuring horizontal inequity in healthcare utilisation: a review of methodological developments and debates," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(2), pages 171-180, March.
    10. Mónica L. Caudillo, 2019. "Advanced School Progression Relative to Age and Early Family Formation in Mexico," Demography, Springer;Population Association of America (PAA), vol. 56(3), pages 863-890, June.
    11. Zhiguo Xiao & Jun Shao & Mari Palta, 2010. "GMM in linear regression for longitudinal data with multiple covariates measured with error," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(5), pages 791-805.
    12. Guido Erreygers & Roselinde Kessels & Linkun Chen & Philip Clarke, 2016. "Decomposing Socioeconomic Inequality of Health," EcoMod2016 9574, EcoMod.
    13. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
    14. Pulok, Mohammad Habibullah & van Gool, Kees & Hall, Jane, 2020. "Horizontal inequity in the utilisation of healthcare services in Australia," Health Policy, Elsevier, vol. 124(11), pages 1263-1271.
    15. Quinn C, 2009. "Measuring income-related inequalities in health using a parametric dependence function," Health, Econometrics and Data Group (HEDG) Working Papers 09/24, HEDG, c/o Department of Economics, University of York.
    16. Bénédicte H. Apouey & Jacques Silber, 2016. "Performance and Inequality in Health: A Comparison of Child and Maternal Health across Asia," Research on Economic Inequality, in: Inequality after the 20th Century: Papers from the Sixth ECINEQ Meeting, volume 24, pages 181-214, Emerald Group Publishing Limited.
    17. de Nicola, Francesca & Giné, Xavier, 2014. "How accurate are recall data? Evidence from coastal India," Journal of Development Economics, Elsevier, vol. 106(C), pages 52-65.
    18. Di Novi, Cinzia & Jacobs, Rowena & Migheli, Matteo, 2018. "Smoking Inequality across Genders and Socio-economic Classes. Evidence from Longitudinal Italian Data," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201802, University of Turin.
    19. Hao Dong & Daniel L. Millimet, 2020. "Propensity Score Weighting with Mismeasured Covariates: An Application to Two Financial Literacy Interventions," JRFM, MDPI, vol. 13(11), pages 1-24, November.
    20. Hitoshi Shigeoka, 2015. "School Entry Cutoff Date and the Timing of Births," NBER Working Papers 21402, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Survey methods; Health survey; Hospitalization; Recall error; Recall periods;
    All these keywords.

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • I10 - Health, Education, and Welfare - - Health - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jhecon:v:35:y:2014:i:c:p:34-46. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505560 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.