Not available / text

Measuring socioeconomic position (SEP) in population chronic disease and risk factor surveillance systems is essential for monitoring changes in socioeconomic inequities in health over time. A life course approach in epidemiology considers the long-term effects of physical and social exposures during gestation, childhood, adolescence, and later adult life on health. Previous studies provide evidence that socioeconomic factors at different stages of the life course influence current health status. Measures of SEP during early life to supplement existing indicators of current SEP are required to more adequately explain the contribution of socioeconomic factors to health status and monitor health inequities. The aim of this thesis was to examine how a life course perspective could enhance the monitoring of SEP in chronic disease and risk factor surveillance systems. The thesis reviewed indicators of early life SEP used in previous research, determined indicators of early life SEP that may be useful in South Australian surveillance systems, and examined the association of SEP over the life course and self-rated health in adulthood across different population groups to demonstrate that inclusion of indicators of early life SEP in surveillance systems could allow health inequities to be monitored among socially mobile and stable groups. A variety of indicators, such as parents’ education level and occupation, and financial circumstances and living conditions during childhood, have been used in different study designs in many countries. Indicators of early life SEP used to monitor trends in the health and SEP of populations over time, and to analyse long-term effects of policies on the changing health of populations, need to be feasible to measure retrospectively, and relevant to the historical, geographical and sociocultural context in which the surveillance system is operating. Retrospective recall of various indicators of early life SEP was examined in a telephone survey of a representative South Australian sample of adults. The highest proportions of missing data were observed for maternal grandfather’s occupation, and mother’s and father’s highest education level. Family structure, housing tenure, and family financial situation when the respondent was aged ten, and mother and father’s main occupation had lower item non-response. Respondents with missing data on early life SEP indicators were disadvantaged in terms of current SEP compared to those who provided this information. The differential response to early life SEP questions according to current circumstances has implications for chronic disease surveillance examining the life course impact of socioeconomic disadvantage. While face-to-face surveys are considered the gold standard of interviewing techniques, computer-assisted telephone interviewing is often preferred for cost and convenience. Recall of father’s and mother’s highest education level in the telephone survey was compared to that obtained in a face-to-face interview survey. The proportion of respondents who provided information about their father’s and mother’s highest education level was significantly higher in the face-to-face interview than in the telephone interview. Survey mode, however, did not influence the finding that respondents with missing data for parents’ education were more likely to be socioeconomically disadvantaged. Alternative indicators of early life SEP, such as material and financial circumstances, are likely to be more appropriate than parents’ education for life course analyses of health inequities using surveillance data. Questions about family financial situation and housing tenure during childhood and adulthood asked in the cross-sectional telephone survey were used to examine the association of SEP over the life course with self-rated health in adulthood. Disadvantaged SEP during both childhood and adulthood and upward social mobility in financial situation were associated with a reduced prevalence of excellent or very good health, although this relationship varied across gender, rurality, and country of birth groups. Trend data from a chronic disease and risk factor surveillance system indicated that socioeconomic disadvantage in adulthood was associated with poorer self-rated health. The surveillance system, however, does not currently contain any measures of early life SEP. Overlaying the social mobility variables on the surveillance data indicated how inequities in health could be differentiated in greater detail if early life SEP was measured in addition to current SEP. Inclusion of life course SEP measures in surveillance will enable monitoring of health inequities trends among socially mobile and stable groups. Life course measures are an innovative way to supplement other SEP indicators in surveillance systems. Considerable information can be gained with the addition of a few questions. This will provide further insight into the determinants of health and illness and enable improved monitoring of the effects of policies and interventions on health inequities and intergenerational disadvantage. / http://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1367190 / Thesis (Ph.D.) - University of Adelaide, School of Population Health and Clinical Practice, 2009

Measuring socioeconomic position (SEP) in population chronic disease and risk factor surveillance systems is essential for monitoring changes in socioeconomic inequities in health over time. A life course approach in epidemiology considers the long-term effects of physical and social exposures during gestation, childhood, adolescence, and later adult life on health. Previous studies provide evidence that socioeconomic factors at different stages of the life course influence current health status. Measures of SEP during early life to supplement existing indicators of current SEP are required to more adequately explain the contribution of socioeconomic factors to health status and monitor health inequities. The aim of this thesis was to examine how a life course perspective could enhance the monitoring of SEP in chronic disease and risk factor surveillance systems. The thesis reviewed indicators of early life SEP used in previous research, determined indicators of early life SEP that may be useful in South Australian surveillance systems, and examined the association of SEP over the life course and self-rated health in adulthood across different population groups to demonstrate that inclusion of indicators of early life SEP in surveillance systems could allow health inequities to be monitored among socially mobile and stable groups. A variety of indicators, such as parents’ education level and occupation, and financial circumstances and living conditions during childhood, have been used in different study designs in many countries. Indicators of early life SEP used to monitor trends in the health and SEP of populations over time, and to analyse long-term effects of policies on the changing health of populations, need to be feasible to measure retrospectively, and relevant to the historical, geographical and sociocultural context in which the surveillance system is operating. Retrospective recall of various indicators of early life SEP was examined in a telephone survey of a representative South Australian sample of adults. The highest proportions of missing data were observed for maternal grandfather’s occupation, and mother’s and father’s highest education level. Family structure, housing tenure, and family financial situation when the respondent was aged ten, and mother and father’s main occupation had lower item non-response. Respondents with missing data on early life SEP indicators were disadvantaged in terms of current SEP compared to those who provided this information. The differential response to early life SEP questions according to current circumstances has implications for chronic disease surveillance examining the life course impact of socioeconomic disadvantage. While face-to-face surveys are considered the gold standard of interviewing techniques, computer-assisted telephone interviewing is often preferred for cost and convenience. Recall of father’s and mother’s highest education level in the telephone survey was compared to that obtained in a face-to-face interview survey. The proportion of respondents who provided information about their father’s and mother’s highest education level was significantly higher in the face-to-face interview than in the telephone interview. Survey mode, however, did not influence the finding that respondents with missing data for parents’ education were more likely to be socioeconomically disadvantaged. Alternative indicators of early life SEP, such as material and financial circumstances, are likely to be more appropriate than parents’ education for life course analyses of health inequities using surveillance data. Questions about family financial situation and housing tenure during childhood and adulthood asked in the cross-sectional telephone survey were used to examine the association of SEP over the life course with self-rated health in adulthood. Disadvantaged SEP during both childhood and adulthood and upward social mobility in financial situation were associated with a reduced prevalence of excellent or very good health, although this relationship varied across gender, rurality, and country of birth groups. Trend data from a chronic disease and risk factor surveillance system indicated that socioeconomic disadvantage in adulthood was associated with poorer self-rated health. The surveillance system, however, does not currently contain any measures of early life SEP. Overlaying the social mobility variables on the surveillance data indicated how inequities in health could be differentiated in greater detail if early life SEP was measured in addition to current SEP. Inclusion of life course SEP measures in surveillance will enable monitoring of health inequities trends among socially mobile and stable groups. Life course measures are an innovative way to supplement other SEP indicators in surveillance systems. Considerable information can be gained with the addition of a few questions. This will provide further insight into the determinants of health and illness and enable improved monitoring of the effects of policies and interventions on health inequities and intergenerational disadvantage. / http://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1367190 / Thesis (Ph.D.) - University of Adelaide, School of Population Health and Clinical Practice, 2009

Measuring socioeconomic position (SEP) in population chronic disease and risk factor surveillance systems is essential for monitoring changes in socioeconomic inequities in health over time. A life course approach in epidemiology considers the long-term effects of physical and social exposures during gestation, childhood, adolescence, and later adult life on health. Previous studies provide evidence that socioeconomic factors at different stages of the life course influence current health status. Measures of SEP during early life to supplement existing indicators of current SEP are required to more adequately explain the contribution of socioeconomic factors to health status and monitor health inequities. The aim of this thesis was to examine how a life course perspective could enhance the monitoring of SEP in chronic disease and risk factor surveillance systems. The thesis reviewed indicators of early life SEP used in previous research, determined indicators of early life SEP that may be useful in South Australian surveillance systems, and examined the association of SEP over the life course and self-rated health in adulthood across different population groups to demonstrate that inclusion of indicators of early life SEP in surveillance systems could allow health inequities to be monitored among socially mobile and stable groups. A variety of indicators, such as parents’ education level and occupation, and financial circumstances and living conditions during childhood, have been used in different study designs in many countries. Indicators of early life SEP used to monitor trends in the health and SEP of populations over time, and to analyse long-term effects of policies on the changing health of populations, need to be feasible to measure retrospectively, and relevant to the historical, geographical and sociocultural context in which the surveillance system is operating. Retrospective recall of various indicators of early life SEP was examined in a telephone survey of a representative South Australian sample of adults. The highest proportions of missing data were observed for maternal grandfather’s occupation, and mother’s and father’s highest education level. Family structure, housing tenure, and family financial situation when the respondent was aged ten, and mother and father’s main occupation had lower item non-response. Respondents with missing data on early life SEP indicators were disadvantaged in terms of current SEP compared to those who provided this information. The differential response to early life SEP questions according to current circumstances has implications for chronic disease surveillance examining the life course impact of socioeconomic disadvantage. While face-to-face surveys are considered the gold standard of interviewing techniques, computer-assisted telephone interviewing is often preferred for cost and convenience. Recall of father’s and mother’s highest education level in the telephone survey was compared to that obtained in a face-to-face interview survey. The proportion of respondents who provided information about their father’s and mother’s highest education level was significantly higher in the face-to-face interview than in the telephone interview. Survey mode, however, did not influence the finding that respondents with missing data for parents’ education were more likely to be socioeconomically disadvantaged. Alternative indicators of early life SEP, such as material and financial circumstances, are likely to be more appropriate than parents’ education for life course analyses of health inequities using surveillance data. Questions about family financial situation and housing tenure during childhood and adulthood asked in the cross-sectional telephone survey were used to examine the association of SEP over the life course with self-rated health in adulthood. Disadvantaged SEP during both childhood and adulthood and upward social mobility in financial situation were associated with a reduced prevalence of excellent or very good health, although this relationship varied across gender, rurality, and country of birth groups. Trend data from a chronic disease and risk factor surveillance system indicated that socioeconomic disadvantage in adulthood was associated with poorer self-rated health. The surveillance system, however, does not currently contain any measures of early life SEP. Overlaying the social mobility variables on the surveillance data indicated how inequities in health could be differentiated in greater detail if early life SEP was measured in addition to current SEP. Inclusion of life course SEP measures in surveillance will enable monitoring of health inequities trends among socially mobile and stable groups. Life course measures are an innovative way to supplement other SEP indicators in surveillance systems. Considerable information can be gained with the addition of a few questions. This will provide further insight into the determinants of health and illness and enable improved monitoring of the effects of policies and interventions on health inequities and intergenerational disadvantage. / http://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1367190 / Thesis (Ph.D.) - University of Adelaide, School of Population Health and Clinical Practice, 2009

For many health conditions, African Americans bear a disproportionate burden of disease, injury, death, and disability compared to European Americans. African Americans also use health services less frequently than do European Americans and this underuse of services contributes to health disparities in the United States. Studies have shown that some disparities are present not as a result of poor access to care, but, to a certain extent, as a result of the experiences patients have at their doctors' offices. It is, therefore, essential to understand African American patients' perspectives and experiences with healthcare providers. Past studies have shown that four barriers affect the quality of patient-provider relationships for African Americans: perceived discrimination, medical mistrust, race discordance, and poor communication. The studies, however, have not looked at how these barriers manifest when African Americans speak about their perspectives and experiences with health care providers. This project was a secondary data analysis of qualitative data provided by adult African American community members from Portland, Oregon with diabetes or hypertension or both, each of whom participated in one of 10 focus groups. The focus groups were conducted as part of a study that applied community based participatory research (CBPR) principles to understand patients' experiences with their doctors. Using a deductive approach, this analysis enhanced the understanding of how the barriers play a role in patient-provider relationships. Further, the analysis showed how the barriers are interrelated. In learning African American patients' experiences and perspectives on these four key barriers, the investigator proposes recommendations for healthcare providers as to how they can best deliver quality care for African Americans.

In any given week glance through the nation's leading newspapers and popular magazines and chances are you will find an article on the nation's medically uninsured. In chiding a country that allows 16% of its citizens to suffer the risks associated with that lack of insurance, reference is frequently given to the exemplary coverage provided to federal government employees by the Federal Employees Health Benefits Program. What of the benefits provided to state government employees? How good is the coverage, and, of particular interest, are there significant variations across states and what factors might contribute to those differences? This study assesses the level of health care benefits afforded to state government employees in all fifty states and considers the potential impact of political ideology, political culture, economic conditions and public employee union membership in influencing variations in those benefits across the states. The state paid portion of a family’s health care premium was adjusted to allow for differences in health care costs across the states resulting in a range of the level of benefits from $318 per month in Mississippi to $1834 per month in New Hampshire. A state’s economic condition, the level of public union membership, and a moralistic political culture were all shown to have a positive association with the level of benefits. Political ideology, defined as the degree of liberalism, was, however, not shown to have a statistical association. Understanding health care benefit differences between states and the factors that drive those differences has the potential of improving lives and the functioning of state governments. Scant information on those differences exist in the current literature; this study has developed a baseline of information and an assessment of driving influences that will, hopefully, stimulate additional approaches and research efforts. Benefits, in general, have been shown in the literature to impact the ability of state governments to attract and maintain employees of merit. Advocates of increased benefits can utilize these study results to place their requests in a broader context.

Abstracts in English and Zulu / Immunisation is a cost-effective public health intervention that contributes to the attainment of the Sustainable Development Goals (SDGs). About 40% of children under the age of five years die from vaccine-preventable diseases in Nigeria. Routine immunisation has been quite low in Nigeria, where national coverage is estimated to be 33%, according to a 2016–2017 survey. This empirical research was aimed at determining the key socio-economic and gender determinants of immunisation in the Federal Capital Territory (FCT), identifying gaps and proffering solutions. Mixed methods of data collection and analysis were used. Data were gathered from several secondary sources and from 11 key informants using semi-structured interviews and 501 household and 26 health-facility surveys using questionnaires mounted on Open Data Kit. Lot quality assurance sampling and probability to population size methodology were used to size the samples and identify survey locations. Odds ratio analysis and logistic regression analysis were conducted to gauge the statistical association between the determinants and the coverage of immunisation. The main finding that was reached on the basis of the documents reviewed and the feedback received from the key informants was that they were gender blind at worst and gender neural at best. Most of the current strategies give little attention to socio-economic and gender barriers. Over 40 immunisation variables were identified. The analysis, particularly using the 2x2 odds ratio, yielded mixed results. The majority of the variables exhibited a close statistical association as far as immunisation indices were concerned. These variables included urban residency, married couples, literacy, birth at a health facility, antenatal care experience, vaccination card possession, immunisation knowledge, child health information, non-farming earnings, socio-economic status and tolerance of spouse beating. On the other hand, variables that were found to have no statistical significance included sex, marital status, marriage type, age, religion, tetanus toxoid (TT) vaccination and adequacy of income. Immunisation and gender are intertwined, particularly because of mothers’ biological and social attachment to their children. At the same time, conducting vaccination avails the opportunity to access almost all households. Moreover, it is important to recognise that socio-economic and gender determinants are not totally in control of one ministry. Single agenda interventions will not produce the desired result. A paradigm shift and the concerted effort of various sectors and partners are required. Therefore, the Nigerian government should galvanise the relevant stakeholders to bring gender and socio-economic variables into the mainstream throughout the immunisation ecosystem and to implement integrated development initiatives by prioritising vulnerable communities. / Ugonyo yindlela engcono yokungenela kwezempilo yabantu engathela esivivaneni ekufinyeleleni izinhloso zentuthuko eqhubekela phambili ezaziwa ngelokuthi yi- Sustainable Development Goals (SDGs). Cishe izingane ezifinyelela ku 40% ezingaphansi kweminyaka emihlanu zibulawa yizifo ezivimbelekayo ngomgcabo emitholampilo eNigeria. Ukugonya njalo kusezingeni eliphansi eNigeria, laphokhona ukwengamela kuzwelonke kulinganiselwa ku 33%, ngokuya kocwaningo olwenziwe phakathi kuka 2016-2017. Ucwaningo lokuthola ubufakazi lwalunenhloso yokubona imithelela yezesimo sabantu nomnotho (socio-economic) kanye nobulili ngokugonya kwi-Federal Capital Territory (FCT) ukubona amagebe kanye nokutholakala kwezixazululo. Amamethodi axubene okuqokelela ulwazi kanye nohlaziyo kwasetshenziswa. Ulwazi lwaqokelelwa ngokufunda imithombo yemibhalo (secondary sources) kanye nakubantu ababalulekile abanolwazi (key informants) abangu 11 ngokusebenzisa ama-semi-structured interview kanye nemizi engu 501 kanye namasurvey amafasilithi ezempilo angu 26 ngokusebenzisa uhla lwemibuzo yamaquestionnaire ebifakelwe kwi-Open Data Kit. Kwasetshenziswa nemethodi ye-Lot quality assurance sampling ne-probability, ngemethodoloji yobuningi babantu, ukwenza usayizi wamasampuli kanye nokubona izindawo okumele kwenziwe kuzo ama-survey. Kwenziwa nohlaziyo lwe-Odds ratio analysis kanye ne-logisic regression analysis ukubona ukuhambelana kwamastatistiki phakathi kwezinto eziwumthelela kanye nokunaba kongamelo lokwenziwa kogonyo. Okukhulu okutholakele ngokulandela amadokhumende okufundwe kuwo, kanye nezimpendulo ezivela kulabo abanolwazi ababalulekile (key informants) kube wukuthi bekungaboneleli ubulili (gender blind) kanti futhi bekungachemile ngokulandela ubulili (gender neutral) ngezinga elibi nangokungcono kakhulu. Amasu amaningi amanje awanakekeli kakhulu izihibe ezimayelana nabantu nezomnotho kanye nezobulili. Kwaphawulwa cishe izinto ezehlukene zama-variable ezingu 40 mayelana nogonyo. Uhlaziyo, ikakhulukazi ngokusebenzisa i 2x2 odds ratio, lwaveza imiphumela exubene. Ezinto zama-variable ehlukene eziningi zikhombise ukuhlobana phakathi kwamastatistiki mayelana namaindices ogonyo. Lama variable, abandakanye ukuhlala emadolobheni, abantu abashadile, ikhono lokubhala nokufunda, ukuzalwa kwezingane kumafasilithi ezempilo, izipiliyoni zonakekelo lwengane ngaphambi kokuzalwa, ukuba nekhadi lomgcabo ix wasemitholampilo, ulwazi ngogonyo, ulwazi ngempilo yengane, ukuthola imali ngemisebenzi engeyona eyokulima, isimo sabantu mayelana nezomnotho, kanye nokuqinisela ukuhlukunyezwa ngokushaywa kwabesimame. Kanti ngakolunye uhlangothi, ama-variable atholakale engenakho ukubaluleka ngokwamastatistiki, abandakanya ubulili, isimo ngokomendo, inhlobo yomendo, iminyaka yobudala, inkolo, umgcabo we-tetanus toxoid (TT), kanye nokwenela kwengeniso lemali. Ugonyo kanye nobulili kuyangenelana nokuhambelana, ikakhulukazi ngenxa yokusondelana komama kanye nezingane zabo. Ngaso leso sikhathi, ukwenziwa kogonyo kuhlinzeka ngethuba lokufinyelela cishe kuwo yonke imizi eminingi. Nangaphezu kwalokho, kubalulekile ukwamukela ukuthi isimo sabantu mayelana nezomnotho kanye nobulili kuyizinto ezinomthelela, azinalo ulawulo oluphelele kumnyango kangqongqoshe owodwa. Ungenelo ngento eyodwa ngeke kwaveza imiphumela efiswayo. Ukugudluka ngokomqondo (paradigm shift), kanye nemizamo eqhubekela phambili yemikhakha ehlukene kanye nabasebenzisani kuyadingeka. Ngakho-ke uhulumeni waseNigeria, kumele agqugquzele ababambiqhaza abafanele ukuhlanganisa nokufaka emkhakheni ofanele izinto ezimayelana nabantu nomnotho kanye nobulili, kuyo yonke inqubo yokusebenzisana kwemikhakha okumele isebenzisane nehlangene ukusebenza ngokulandela inqubo yentuthuko ehlangane ngokubonelela imiphakathi ekwizimo ezibucayi / Development Studies / D. Phil. (Development Studies)

Indiana University-Purdue University Indianapolis (IUPUI) / While the majority of chronic pain patients report receiving inadequate care, there is evidence that female and Black patients receive less analgesic medications and treatment for their chronic pain compared to male and White patients, respectively. While treatment disparities have been evidenced in the literature, there is little understanding of provider-factors, such as their decision-making awareness and attitudes, which may contribute to the differences in treatment. This investigation employed quantitative and qualitative procedures to examine the relationship between patient demographics and chronic pain treatment variability, providers’ awareness of these non-medical influences on their decisions, and the extent to which providers’ gender and racial attitudes associate with their treatment decisions. Twenty healthcare trainees made pain treatment decisions (opioid, antidepressant, physical therapy, pain specialty referral) for 16 computer-simulated patients presenting with chronic low back pain; patient sex and race were manipulated across vignettes. Participants then selected among 9 factors, including patient demographics, to indicate which factors influenced their treatment decisions for the simulated patients and completed gender and racial attitude measures. After online study completion, follow-up semi-structured interviews were conducted to discuss the medical/non-medical factors that influence trainees’ clinical treatment decisions. Quantitative analysis indicated that 5%-25% of trainees were actually influenced (p<0.10) by patient sex and race in their treatments, and on the whole, trainees gave higher antidepressant ratings to White than Black patients (p<.05). Fifty-five percent demonstrated concordance, or awareness, between their actual and reported use of patient demographics. Follow-up McNemar’s test indicated trainees were generally aware of the influence of demographics on their decisions. Overall, gender and racial attitudes did not associate with trainees’ treatment decisions, except trainees’ complementary stereotypes about Black individuals were positively associated with their opioid decisions for White patients. During qualitative interviews, aware and unaware trainees discussed similar themes related to sex and racial/ethnic differences in pain presentation and tailoring treatments. We found that (1) a subset of trainees were influenced by patient sex and race when making chronic pain treatment decisions, (2) trainees were generally aware of the influence of patient demographics, and (3) trainees discussed differences in pain presentation based on patients’ sex and ethnic origin. These findings suggest trainees’ are influenced by patient demographics and hold stereotypes about patient populations, which may play a role in their decision-making.